{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Damit die von Matplotlib erzeugten Bilder gleich im Notebook erscheinen, braucht man das folgende \"magic command\": "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Es gibt auch die ältere Variante \n",
    "\n",
    "`%matplotlib inline`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Geplottet werden prinzipiell Daten (Wertetabellen).  Um eine Funktion zu plotten, muss man eine Wertetabelle herstellen,\n",
    "was mit `numpy` recht leicht geht. Aber fangen wir erst mal mit Daten an.\n",
    "\n",
    "\n",
    "## Einfache Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ganz schnell mal ein Plot\n",
    "y = [2, 4.3, 11, 4, 7]\n",
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wenn Sie dieses Notebook interaktiv abarbeiten, erscheint die obige Grafik mit einem Rahmen, der verschiedene Buttons enthält. Mit ihnen kann man z.B.  zoomen oder die Grafik verschieben. \n",
    "\n",
    "Mit dem Button rechts über der Grafik wird diese interaktive Funktionalität beendet. \n",
    "\n",
    "*Bitte drücken Sie immer diesen Button,* bevor Sie die nächste Zelle abarbeiten. Sonst wird kein neues Plotfenster aufgemacht sondern der nächste Plot zum oben stehenden hinzugefügt.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ein paar Variationen:\n",
    "\n",
    "y = [2, 4.3, 11, 4, 7]\n",
    "plt.plot(y, color = 'red',   marker = 'o', linestyle = '')  # rote Datenpunkte\n",
    "plt.plot(y, color = 'green', linestyle = '--')   # verbindende grüne gestrichelte Linie\n",
    "plt.show()                                                "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bemerkungen:\n",
    "\n",
    "\n",
    "* Linestyles: \n",
    "  * `'--'` (gestrichelt)\n",
    "  * `':'` (Punkte) \n",
    "  * `'-.'` (Strich-Punkt)\n",
    "  * `'-'` (durchgezogen, *default*)\n",
    "  * `''`   (nix)\n",
    "\n",
    "* Marker: http://matplotlib.org/api/markers_api.html\n",
    "\n",
    "* Farben können u.a. auch RGB-Tupels: `color = (0.23, 0.44, 0.99)`\n",
    "  oder Hex-Codes: `color='#e30c03'` sein.\n",
    "\n",
    "* Matplotlib hat eine Vielzahl von *backends*, also Ausgabemechanismen für Grafiken. In diesem notebook-Backend ist z.B. das abschliessende `.show()` unnötig. Ich schreibe es trotzdem, damit die Beispiele auch mit anderen *backends* funktionieren.\n",
    "\n",
    "* Im interaktiven Notebook stehen Buttons unter dem Plot. Man kann damit die Plots verschieben/zoomen und dann auch in der gewünschten Form als Grafik abspeichern. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# wenn die x-Werte nicht einfach 0,...,n sind:\n",
    "\n",
    "x = [3,   4,  5, 6, 10]\n",
    "y = [2, 4.3, 11, 4,  7]\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# noch ein paar Schnörkel: \n",
    "#\n",
    "#  - Achsenbeschriftung mit xlabel, ylabel\n",
    "#         (In allen Beschriftungs-Strings können LaTeX-Konstrukte \n",
    "#          wie $\\sqrt{\\alpha}$ verwendet werden)\n",
    "#\n",
    "#  - Kurzformen: '-r'  entspricht   linestyle='-', color='red'\n",
    "#                '--b' entspricht   linestyle='--', color='red'\n",
    "#\n",
    "#  - Bereich der x,y-Achse festgelegt: .xlim([xmin,xmax])\n",
    "#        (muss nach dem plot()-Befehl geschehen)\n",
    "#\n",
    "#  - Legende im Plot \n",
    "#\n",
    "#  - Abspeichern als Grafikdatei\n",
    "#\n",
    "\n",
    "days = range(1,6)\n",
    "Tmin = [2.3, 4.4,1.6,6.6,3.3]\n",
    "Tmax = [12,13,8,7,8]\n",
    "\n",
    "#plt.xlabel(\"Tage\")\n",
    "#plt.ylabel(r\"Temperatur $\\theta$\")\n",
    "#plt.plot(days, Tmin, '-r', linewidth = '5', label = \"min. Temp.\")\n",
    "plt.plot(days, Tmin, '-r', linewidth=5,label=\"min. Temp.\")\n",
    "plt.plot(days, Tmax, '--b', label = \"max. Temp\")\n",
    "plt.xlim([0, 6])\n",
    "plt.ylim([0, 16])\n",
    "plt.legend(loc = 'upper right')\n",
    "#plt.savefig(\"fig1.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2D Punktmengen (Scatterplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2 Arrays mit je 600 normalverteilte Zufallszahlen \n",
    "\n",
    "n = 600\n",
    "X = np.random.normal(0, 1 ,n)\n",
    "Y = np.random.normal(0, 1, n)\n",
    "\n",
    "# die 600 Punkte sollen nach ihrem Winkel eingefärbt werden \n",
    "Phi = np.arctan2(Y, X)\n",
    "\n",
    "plt.scatter(X, Y, c = Phi)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2 Arrays mit je 600 normalverteilte Zufallszahlen \n",
    "\n",
    "n = 600\n",
    "X = np.random.normal(0, 1 ,n)\n",
    "Y = np.random.normal(0, 1, n)\n",
    "\n",
    "# die 600 Punkte sollen nach ihrem Abstand zu (0,0) eingefärbt werden\n",
    "D = np.sqrt(X**2 + Y**2)\n",
    "\n",
    "plt.scatter(X, Y, c = -D)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Die saubere Variante\n",
    "\n",
    "\n",
    "Bisher wurden alle Plots einfach in das gerade aktive Plotfenster gemalt. Für etwas kompliziertere Plots sollte man sich etwas mehr Mühe geben. \n",
    "\n",
    "Grundprinzip:\n",
    "\n",
    "* plt.figure() erzeugt ein Abbildungs-Objekt, auf das man sich später bezieht: `fig23=plt.figure()`\n",
    "* Diesem Objekt fügt man ein oder mehrere Subplots hinzu: `p1=fig23.add_subplot(111)`\n",
    "\n",
    "  Dabei bedeutet das Argument `nmk`, das dies der  `k`-te Subplot in einem `n x m`-Raster ist.\n",
    "* Einem Subplot fügt man dann mittels `.plot(), .scatter(),...` eine oder\n",
    "mehrere  Graphen hinzu: `p1.plot(x,y)`   \n",
    "* Auf einem Subplot operieren dann Funktionen wie `.set_xlim()` oder `.set_title()`.\n",
    "\n",
    "\n",
    "*Damit ist es auch nicht mehr nötig, die interaktiven Fenster um jeden Graph abzuschalten, wenn man einen neuen Graphen generieren will.* Jeder `.figure()`-Aufruf erzeugt ein neues interaktives Fenster.   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# \n",
    "fig1 = plt.figure()\n",
    "subplot1 = fig1.add_subplot(111)\n",
    "subplot1.plot([3,1,7,6], label = \"tolle Messwerte\")\n",
    "subplot1.plot([2,4,2,6], label = 'Messwerte der anderen')\n",
    "subplot1.set_ylim(0,10)\n",
    "subplot1.set_title(\"So ein Quatsch\")\n",
    "subplot1.legend(loc = 'upper left')\n",
    "fig1.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Hier gibt es mal 2 Subplots in einem 1x2-Raster.\n",
    "# ... und eine logarithmische Achse \n",
    "# ... und ein Grid (Hilfslinien)\n",
    "\n",
    "fig2=plt.figure()\n",
    "sp1=fig2.add_subplot(121)       # 1x2-raster, 1. subplot -> 121\n",
    "sp2=fig2.add_subplot(122)       # 1x2-Raster, 2. Subplot -> 122 \n",
    "sp1.plot([3,4,5,3,40], marker='o')\n",
    "sp2.plot([1, 1.1, 3, 3.3, 4.4], [5,6,30,8,.0003], marker='x', linestyle='--')\n",
    "sp2.plot([1, 1.1, 3, 3.3, 4.4], [7,9,0.3, 22, 6], marker='d', color='r')\n",
    "sp2.set_yscale('log')\n",
    "sp1.grid(True)\n",
    "fig2.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Funktionsplots\n",
    "\n",
    "Beim Erstellen von Funktionsplots helfen die vektorisierten Numpy-Funktionen.\n",
    "\n",
    "Die Funktion `linspace(Anfang, Ende, Anzahl der Punkte)` erzeugt einen Vektor mit Stützstellen: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x= [0.   0.75 1.5  2.25 3.   3.75 4.5  5.25 6.  ]\n",
      "x**2= [ 0.      0.5625  2.25    5.0625  9.     14.0625 20.25   27.5625 36.    ]\n"
     ]
    }
   ],
   "source": [
    "x=np.linspace(0, 6, 9)\n",
    "print(\"x=\", x)\n",
    "print(\"x**2=\", x**2)          "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Die Funktionen aus Numpy, wie z.B. `np.sin()`, sind vektorisiert, d.h., sie wirken elementweise auf einen Array.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0,12,100)\n",
    "y = np.sin(x)\n",
    "\n",
    "fig3   = plt.figure()\n",
    "splot3 = fig3.add_subplot(111)\n",
    "splot3.plot(x,y)\n",
    "splot3.plot(x, y**2, 'r')\n",
    "fig3.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Funktionen von 2 Veränderlichen\n",
    "\n",
    "Zum Plotten von Funktionen von 2 Veränderlichen `z=f(x,y)` braucht Matplotlib 3 Matrizen, welche jeweils die x-, y- und z-Werte zu jedem Datenpunkt enthalten. Zur Erzeugung dieser Matrizen kann man die Numpy-Funktion `meshgrid()` benutzen:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 2., 3., 4., 5.])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.linspace(1,5,5) \n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 1., 2., 3.])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = np.linspace(0, 3, 4)\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 2., 3., 4., 5.],\n",
       "       [1., 2., 3., 4., 5.],\n",
       "       [1., 2., 3., 4., 5.],\n",
       "       [1., 2., 3., 4., 5.]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X, Y = np.meshgrid(x, y)\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0., 0.],\n",
       "       [1., 1., 1., 1., 1.],\n",
       "       [2., 2., 2., 2., 2.],\n",
       "       [3., 3., 3., 3., 3.]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.,  4.,  9., 16., 25.],\n",
       "       [ 2.,  5., 10., 17., 26.],\n",
       "       [ 5.,  8., 13., 20., 29.],\n",
       "       [10., 13., 18., 25., 34.]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z = X**2 + Y**2\n",
    "Z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig17 = plt.figure()\n",
    "p17 = fig17.add_subplot(111)\n",
    "p17.contourf(X,Y,Z)\n",
    "fig17.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Und noch ein Beispiel\n",
    "\n",
    "def f(x,y):\n",
    "    return (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)\n",
    "\n",
    "n = 256\n",
    "x = np.linspace(-3, 3, n)\n",
    "y = np.linspace(-3, 3, n)\n",
    "X, Y = np.meshgrid(x, y)\n",
    "\n",
    "fig7 = plt.figure()\n",
    "pp7  = fig7.add_subplot(111)\n",
    "\n",
    "img = pp7.contourf(X, Y, f(X,Y), 12, cmap='Blues') \n",
    " # andere cmaps: hot, summer, winter, spring, gray, Blues\n",
    "   # 12 ist die Zahl der Farbabstufungen\n",
    "    \n",
    "hl = pp7.contour(X, Y, f(X,Y), 8, colors='black', linewidths=.5)  \n",
    "   # macht Höhenlinien (8 Abstufungen)\n",
    "\n",
    "plt.clabel(hl, inline=1, fontsize=10)     \n",
    "   # beschriftet Höhenlinien\n",
    "\n",
    "fig7.colorbar(img)\n",
    "   # macht Farbbalken rechts daneben                \n",
    "\n",
    "fig7.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Weitere colormaps gibts hier: http://matplotlib.org/examples/color/colormaps_reference.html\n",
    "\n",
    "\n",
    "## Und jetzt in 3D!\n",
    "\n",
    "* dazu müssen wir noch was importieren!\n",
    "* Der Subplot erhält das Attribut `projection='3d'`\n",
    "* Die Plotfunktion heisst `.plot_surface(x,y,z)`\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "fig71  = plt.figure()\n",
    "plot71 = fig71.add_subplot(111, projection='3d')\n",
    "plot71.plot_surface(X, Y, f(X,Y), cmap='hot')\n",
    "fig71.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Noch ein Beispiel\n",
    "# Zur Einnerung nochmal alle nötigen Imports:\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "\n",
    "\n",
    "x = np.linspace(-2, 2, 30)\n",
    "y = np.linspace(-1, 1, 25)\n",
    "(X, Y) = np.meshgrid(x,y)\n",
    "\n",
    "Z = np.cos(X**2 + Y**2)\n",
    "\n",
    "fig8 = plt.figure()\n",
    "plot8 = fig8.add_subplot(111, projection='3d')\n",
    "\n",
    "\n",
    "# die Wirkung der Argumente 'rstride' und 'cstride' probiere man einfach mal aus\n",
    "# (müssen ganze Zahlen > 0 sein)\n",
    "\n",
    "plot8.plot_surface(X, Y, Z, cmap='winter', rstride=1, cstride=1, linewidth=1)\n",
    "fig8.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Die Plotfunktion heisst `.plot_surface(x,y,z)`\n",
    "* ... oder `.plot_wireframe(x,y,z)`, wenn man es nicht so bunt mag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig8a = plt.figure()\n",
    "plot8a = fig8a.add_subplot(111, projection='3d')\n",
    "\n",
    "\n",
    "plot8a.plot_wireframe(X, Y, Z, rstride=1, cstride = 1, linewidth=0.5)\n",
    "fig8a.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vektorfelder\n",
    "\n",
    "Neben vielem anderen kann man auch Vektorfelder plotten.  \n",
    "\n",
    "(quiver = Köcher) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 11)\n",
    "y = np.linspace(0, 15, 16)\n",
    "(X,Y) = np.meshgrid(x,y)\n",
    "u = 25*X\n",
    "v = -15*Y\n",
    "fig18 = plt.figure()\n",
    "splot18 = fig18.add_subplot(111)\n",
    "splot18.quiver(x, y, u, v, color='r')\n",
    "fig18.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3D Plots von Punktmengen und Kurven"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig30 = plt.figure()\n",
    "pl = fig30.add_subplot(111, projection='3d')\n",
    "\n",
    "z = np.linspace(0, 1, 100)\n",
    "x = z * np.sin(20 * z)\n",
    "y = z * np.cos(20 * z)\n",
    "\n",
    "co = x + y\n",
    "\n",
    "pl.scatter(x, y, z, c=co)\n",
    "fig30.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig31 = plt.figure()\n",
    "pl2 = fig31.add_subplot(111, projection='3d')\n",
    "\n",
    "pl2.plot(x, y, z, '-b')\n",
    "fig31.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interaktive Plots\n",
    "Als nächstes fügen wir einem Plot einen Schieberegler (Slider) hinzu. Mit diesem \n",
    "slider kann man den Wert einer Variablen interaktiv verstellen. Dann wird der Plot\n",
    "von einer update-Funktion neu gezeichnet. \n",
    "\n",
    "Erstmal noch 2 Imports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.widgets import Slider\n",
    "from matplotlib import gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.linspace(0,12,200)\n",
    "y = np.sin(x)\n",
    "\n",
    "fi4 = plt.figure()\n",
    "\n",
    "# Der eigentliche Plot und der Slider sollen übereinander stehen. \n",
    "# Mit einem einfachen 2x1-Raster werden sie aber gleich hoch.\n",
    "# Wir erzeugen das Raster daher mit gridspec, da kann man ein \n",
    "# Höhenverhältnis angeben. \n",
    "\n",
    "gs = gridspec.GridSpec(2, 1, height_ratios=[8, 1]) \n",
    "\n",
    "plot41 = fi4.add_subplot(gs[0])   # anstelle von 211, 212 \n",
    "plot42 = fi4.add_subplot(gs[1])\n",
    "\n",
    "plot41.plot(x,y)\n",
    "\n",
    "# Der Slider füllt einen Subplot, hat einen Namen und Min-, Max- und Startwert\n",
    "sl = Slider(plot42, 'Frequenz ', 0.01, 5.0, valinit=1)\n",
    "fi4.show()\n",
    "\n",
    "# Diese update-Funktion zeichnet den Graph neu:  \n",
    "def myupdate(val):\n",
    "    y = np.sin(val*x)        # val ist der am Schieberegler eingestellte Wert\n",
    "    plot41.cla()             # alten subplot löschen\n",
    "    plot41.plot(x,y)         # neu zeichnen\n",
    "    fi4.canvas.draw_idle()   # \n",
    "\n",
    "# hier wird dem slider gesagt, dass er bei Änderungen die Funktion myupdate rufen soll    \n",
    "sl.on_changed(myupdate)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# die update-Funktion kann man natürlich auch so aufrufen:\n",
    "myupdate(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Animationen\n",
    "\n",
    "Auf diese Weise lassen sich einfache Animationen realisieren. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def update2(val):\n",
    "    y = np.sin(val*x)\n",
    "    plot41.cla()        # clear plot\n",
    "    plot41.plot(x,y)    # new plot\n",
    "    fi4.canvas.draw()   # kleiner Unterschied zu myupdate!\n",
    "\n",
    "import time\n",
    "\n",
    "for i in range(1, 20):\n",
    "    update2(i/3)\n",
    "    time.sleep(.03)     # wichtig: zwischen den updates eine kleine Pause (0,03 sec) machen!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(Die Animation sieht man nur, wenn man das Notebook interaktiv abarbeitet.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Ende \n",
    "\n",
    "Falls Matplotlib nicht reicht: Eine auf matplotlib aufbauende Visualisierungsbibliothek ist z.B. Seaborn:\n",
    "http://seaborn.pydata.org/"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
