figures.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "#import matplotlib\n",
    "#matplotlib.use('Agg')\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "markers={\"S\":'$\\u2660$',\"H\":'$\\u2665$',\"D\":'$\\u2666$',\"C\":'$\\u2663$'}\n",
    "colors={\"S\":\"k\",\"H\":\"r\",\"D\":\"orange\",\"C\":\"darkgrey\"}\n",
    "fontsize='xx-large'\n",
    "dpi=50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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 overriden (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"
    },
    {
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "line_regs=[('S', [0.7913, 0.8334, 0.8552, 0.8593, 0.9186, 0.9517, 0.9226, 0.9052, 0.963, 0.9411, 0.6584, 0.9422, 0.9261], [0.0019, 0.00075, 0.00081, 0.0013, 0.0012, 0.00047, 0.00062, 0.00095, 0.00032, 0.00033, 0.0015, 0.00028, 0.00047]), ('H', [0.7589, 0.7909, 0.7696, 0.8112, 0.8069, 0.8836, 0.9205, 0.9028, 0.9236, 0.8365, 0.845, 0.8115, 0.8071], [0.0021, 0.0027, 0.0041, 0.002, 0.0022, 0.0007, 0.00035, 0.00057, 0.00053, 0.00087, 0.001, 0.0015, 0.0016]), ('D', [0.7604, 0.7651, 0.8653, 0.89, 0.8849, 0.9182, 0.9447, 0.9759, 0.9586, 0.8408, 0.8898, 0.8919, 0.9113], [0.00061, 0.00053, 0.00052, 0.00041, 0.00034, 0.00052, 0.00031, 0.00015, 0.00025, 0.001, 0.00044, 0.00035, 0.00039]), ('C', [0.7846, 0.8384, 0.8391, 0.918, 0.9315, 0.927, 0.9795, 0.9708, 0.9302, 0.9775, 0.9593, 0.9105, 0.905], [0.00057, 0.00038, 0.0003, 0.00024, 0.00022, 0.00042, 0.00011, 0.0001, 0.00016, 5.4e-05, 0.00015, 0.00029, 0.00028])]\n",
    "\n",
    "fig=plt.figure(figsize=[8,6],dpi=400)\n",
    "ax1=fig.subplots(1)\n",
    "\n",
    "for suit,val,err in line_regs:\n",
    "    #ax1.errorbar(list(range(13)),val,yerr=err,fmt=marks[suit],capsize=3,label=suit)\n",
    "    ax1.plot(list(range(13)),val,color=colors[suit],marker=markers[suit],label=suit,markersize=12,linewidth=2)\n",
    "\n",
    "ax1.legend(fontsize=fontsize)\n",
    "plt.xticks(list(range(13)),[\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"J\",\"Q\",\"K\",\"A\"],fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "ax1.set_xlabel(\"Cards\",fontsize=fontsize)\n",
    "\n",
    "ax1.set_ylabel(\"Average $Exp(-\\\\beta\\\\cdot regret)$\",fontsize=fontsize)\n",
    "plt.savefig(\"stat_reg.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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 overriden (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": {
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "line_val_vars=[('S', [13.747, 13.7706, 13.9122, 14.5808, 14.8058, 14.5746, 15.2853, 14.1653, 13.6282, 12.042, 29.7136, 13.8169, 13.5656]), ('H', [20.8235, 20.3592, 21.0805, 21.5042, 22.1215, 21.9233, 24.7988, 23.6907, 23.2014, 22.1111, 22.2632, 24.3343, 25.6908]), ('D', [14.3882, 15.2608, 15.7939, 16.1176, 15.8712, 16.4516, 17.2022, 18.0227, 17.187, 19.4955, 15.2213, 15.1019, 14.9516]), ('C', [18.3284, 19.5804, 19.6821, 21.5047, 21.3748, 21.2913, 23.6382, 22.9907, 23.1181, 21.0759, 21.3035, 19.6484, 18.6948])]\n",
    "\n",
    "fig=plt.figure(figsize=[8,6],dpi=dpi)\n",
    "ax1=fig.subplots(1)\n",
    "\n",
    "for suit,val in line_val_vars:\n",
    "    ax1.plot(list(range(13)),val,colors[suit],marker=markers[suit],linestyle=\"-\",label=suit,markersize=12,linewidth=2)\n",
    "\n",
    "ax1.legend(fontsize=fontsize)\n",
    "plt.xticks(list(range(13)),[\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"J\",\"Q\",\"K\",\"A\"],fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "ax1.set_xlabel(\"Cards\",fontsize=fontsize)\n",
    "\n",
    "ax1.set_ylabel(\"Variance of Values\",fontsize=fontsize)\n",
    "plt.savefig(\"stat_val_var.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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 overriden (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": {
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\" width=\"3600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t_bench=[0, 80, 160, 240, 320, 400, 480, 560, 640, 720, 800, 880, 960, 1040, 1120, 1200, 1280, 1360, 1440, 1520, 1600, 1680, 1760, 1840, 1920, 2000, 2080, 2160, 2240, 2320, 2400, 2480, 2560, 2560, 2640, 2720, 2800, 2880, 2960, 3040, 3040, 3120, 3200, 3280, 3360]\n",
    "v_bench=[-264.72, -106.39, -85.68, -69.66, -61.52, -64.15, -53.9, -58.75, -52.64, -25.06, -38.61, -31.49, -44.41, -21.7, -8.63, -38.55, -23.74, -13.81, 5.62, -0.89, -2.79, -3.01, -6.77, -6.94, 5.77, 7.16, -5.61, -3.41, 9.79, 1.88, 9.49, 9.89, -4.32, 1.71, 26.14, 22.46, 20.91, 8.66, 23.36, 36.04, 27.83, 25.84, 24.29, 37.32, 18.73]\n",
    "e_bench=[7.86, 8.28, 8.1, 8.26, 8.31, 8.37, 8.37, 8.38, 8.26, 8.29, 7.94, 8.06, 7.9, 8.13, 8.16, 8.32, 7.82, 8.24, 8.19, 7.82, 8.19, 7.97, 8.21, 8.4, 7.75, 7.77, 8.02, 8.05, 7.83, 8.08, 8.12, 7.94, 7.94, 8.42, 8.04, 8.05, 7.95, 7.93, 7.95, 8.01, 8.11, 8.13, 7.96, 8.1, 7.98]\n",
    "\n",
    "fig=plt.figure(figsize=[9,6],dpi=400)\n",
    "ax1=fig.subplots(1)\n",
    "\n",
    "ax1.errorbar(t_bench,v_bench,yerr=e_bench,fmt='o-',capsize=3,label=\"Raw Network\")\n",
    "ax1.axhline(y=-275.2,dashes=(2,2),c='orange',lw=3,label=\"Mr. Random\")\n",
    "ax1.axhline(y=-80.3,dashes=(2,2),c='limegreen',lw=3,label=\"Mr. If\")\n",
    "ax1.axhline(y=0,dashes=(2,2),c='green',lw=3,label=\"Mr. Greed\")\n",
    "plt.xticks(fontsize=fontsize)\n",
    "plt.yticks(fontsize=fontsize)\n",
    "\n",
    "ax1.set_xlabel('Epoch',fontsize=fontsize)\n",
    "#ax1.grid(True,which='both',axis='x')\n",
    "ax1.set_ylabel('Winning Points over Mr. Greed (WPG)',fontsize=fontsize)\n",
    "#ax1.grid(True,which='both',axis='y')\n",
    "#ax1.xaxis.set_minor_locator(AutoMinorLocator(2))\n",
    "ax1.legend(loc=0,fontsize=fontsize)\n",
    "plt.savefig(\"from-zero-29-b.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-400, -350, -300, -250, -200, -150, -100, -50, 0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550]\n"
     ]
    },
    {
     "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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 overriden (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"
    },
    {
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width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(array([  2.,   7.,   4.,  21.,  36.,  51., 102., 129., 149., 140., 123.,\n",
       "        101.,  55.,  51.,  20.,  18.,   4.,   4.,   6.]),\n",
       " array([-400, -350, -300, -250, -200, -150, -100,  -50,    0,   50,  100,\n",
       "         150,  200,  250,  300,  350,  400,  450,  500,  550]),\n",
       " <a list of 19 Patch objects>)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores1=\" -20   25  130   70  325  -30  -10 -105   10   95  190 -370  155  300  320   35   35   90   30  -70  225  210  -45 -105   35  -40   15   95  170  295  -10  -15  165 -120  -30   85  145  225 -110  -25  275  -70   55  -20  220   85  275  410  200  -45  215  145   15  135  205  250  130    0   60  560 -105   55  275   30   50  -60  260  -35   85   60   10 -275   25 -105 -210 -165  110  -60  130 -290    0   80  285 -145 -160  125  170  240  170 -110   45   25  345  125   20   15   50 -235  185   70  120  100   45  110   75  105  130   30   25    0  255 -145 -130    5  -40   65  145  355  220 -160  100  -40   70    0   65 -355  130   -5   75   55   30   90  255  110  105 -165  255  265  350  -95   75  140  -40 -210  -70  -45  -70   95  -60   20 -120  -75  235  365  -90   70  -65  100  140   55   65  115  315  -35   40  385  190  120   90  170  280  130  -75  -55   70 -115  -90   45  100  250  115 -185  195  -95  390  -15  275   95   90   45  -10 -105   30  -50 -135  160  205  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315  120  -85  -45  150  300  115   35  325  195   90  -65  145  -65  115 -250    0   60  490  -85  120  -80   60   50   65   90  560 -180  -65  385  -10  205 -140  120  185   80  165  340  100  -85  -85  -65   45  205   15   30  330  -75    5  -65   40  295  175  -25   70  135  -60   70 -200  100    0  130  -75  -55  -15  410  270   50   50 -105  175  155 -155  150  185  125  180  -20   30   60   15  145  125  240  -60    0  120  -45  210  200  310   55  305  160  225  125  155   95  -40  165  -90  -85  -15   -5  420   10  210  155   50  335  105 -265 -285  195   95  300   95  160   40  145  245  145  435  -45  190  -75  350  -45  165  160  220 -205  -90   65   15 -110 -150  190  160  105  -35  140  300   80  255  -65  240  -50  455  185  205  -40  255   70 -145  -35   85 -210   85   25   55  365   30  415  -60  100   35  160  205  100  -55 -105  150   10  -50 -230 -245  165 -165  135   70   80   30    5    5 -115   25  205    5  110   90  -70  -45   20  240   15    0   45   40  -85  -35 -155  -40  250  195  -45   80  260   95    0  200  130  -15 -100  125  230  -30   90  120  185  -80  -65   55   15  105   65   55  -50  -50  -85  200  -70  175  -40  -25   80  105   35  -25  245   60  -30  -10  -45  -60  110  195  260  125   90  175  230  -70   15  225  -70  275   10   25   30  -40 -105  175   75  155  -50  120  200   15   60  100 -105  270  275   55  110 -100 -290  315   35   25  195   50  -50  110   35   60 -170  -50  -30  200  160    0  240   30 -100   85  380  365 -130  275  210   50   85  490 -205 -110 -210 -105  100   50  -55  260  240  180  -90   50  -40 -220  120  205   65    0  120   90 -300  -30  100   60  -65  345   20   65  -15    0  315  105   35  -40  215 -115   30  520  135  265  130   30  165   35  100 -200 -135  160  295   25   40  285   15  150   70 -155 -145 -155   85 -115   25 -125  175   75  225  -50 160   45 -260  315  -95  190  -35  120  180  -10   -5   55 -160  260   10   30  405  180  -50    5  210  305 -100  220 -180  250  -15  135    0   15   15  225   75  130  100   70  140  165  -75  185  135  190  110  -35  -50  -30  105   80  140 -110   45  245  305  130   15  275 -100 -140  215  105 -200  355  170  140   90  -75   65   50    0  230  195  330 -170   40  -50  -40 -100   10  -25  160 -125 -130  -75 -170   40   30 -260  -10   90  150  -90  -30  -10  -30  230 -240 -125 -245  -70  240 -165  125    0  245 -130  250   85   70  340    5  -10   85 -135   40  440  -30  -60  -60  -90 -100  -35  125   80   40  -80  165  105   60  -50  335   50   70  230   45   -5  110  210  380  315  120  190  -15  -45   80  -10 -110  105   15  155  270  235   60   -5  -80   10  -15  205  140    5  -15  155  -55 -140  320  260  -15  -50  -10  170  -15  255  165   25   75  425  155  -40   95  275 -155  135  -20   35  265  100  310    0  -30 -115 -145 -125  205   75  310  -90  -60  250   85  150  -85  160  125   30   30   45   40  105 -120  -70   35  -55  -20  240  190  265   10   55  -40   75   30  -30   35  140   30   55  -50  165  150 -450   80   75  -40   95   90  -65 -170  195  -35  335 -185  -10 -245  -10  100 -140  -20   10  175  -55  165   10  -10  230 -230  125\"\n",
    "scores2=\" 230  285   55   80  285  220  165 -155  -55  -75   50 -325  320  280  215  265  -10  110   75 -250  215  250  125  260  120 -170  385  -40  -95  -25  230   65  230  125  245   10  135   25  -40   20  250  -20  170  280   10   55  155  100  345   40  -70  220 -120   45 -120  -40   75 -135   75  135   50   45 -125 -400 -260  110  195  -55  240  195   35 -180  -65  -75   90 -375  130  150  120 -115 -160 -125  175  -95  250 -100   85   80  -65 -175   40  -20  -75  -35   25   10  175  150  550  -50  255   40 -160  -95  190  135   90   25   90  130  450   20  180   50   20  -50  -15   30   45  250   35  155 -130  -60   65   30  190  145   75   50  150  225  -20  215  145 -210  235    0  225  -75  245  -15 -100 -120   15 -265  -65  240   45 -100  -15   20  150   40  130  -15  195  150  -85   95   45  110   45  255  300 -150  -15  345  510  295  -35  300   95 -175  -40 -120 -135  115 -185   15   15  -70 -165  -60  125  -90  135 -175  170   70   45    5  210   50   25   25  260  -30  150  170  -40    0  100  -20   35  150   55  265 -240  520   90  -45   70   50   95  195 -100  265   20   30  120  180  350  205   20   10  105  110  105 -235  190  -30 -130  165 -110  130  155  -55  205  100  -60  180  -20   20  150  185 -235  -10  300   25  130   35  -10  100  180   90  385   80 -165  125   95  -95  145  350 -165  235  160   75  470  265  -35  170  165   75  -40  -45   70  170  180  165   65   10  270  -95   80  -40   30  -95  -70   65  -30  100   90  225   15   10   15 -115 -175   55  135   65  105  115  125  180 -145 -315  185   65  -20   15  -45    5   40  -95   50   85  140   75  290   30  135  295    0 -200  -50  130   70  225  -70  175   10   40  290 -150   55  245  -80  110  100  195  170 -150   95 -145   50  260  155  140  210  115   85  -85   75  275 -125  -45  235  200  205  -20  105   15  120  -25  -30 -140   65  -90 -165 -140   50  160   70  -65   40   30   30   -5   55  145  235  285  190  115   30  -70  -15  150   25  -40  130  150  265   50 -100   75  140  200  380  120 -115  340 -240  150  -60   -5  155 -155   65   70  -90  280 -170  110   20  -75  -30  110  -15  -75  -10  345   80  -75   80   15   10  160  235  -50  160   15   70  210  135  -90  -70  -25  -35  105   85  175  325 -225  120 -165  170  -50  -20  -25   10   70  185  315  350   40  -70  155  -75  120  110  280  -50  160  -55  105 -345   70   65   30 -310   70  105  -65 -110   30  340  145   20 -275  -75   90  -55  -25   90   15   45 -215  -40 -155   -5  -35  105   40  260  130   55  -50  -25   30 -140   25   30  270  130   20 -110 -145  -95    0  -45   95  160  125  160  355  125  130 -225 -305  170 -170  140   95  200  -30  -55   60  180  315 -235  -85  110  175  310    5  -75   85  -35  190  160  100   65   85  145  -70  -60 -135  -10 -205  -10  -55   45  100  350 -225   70    0   30   40  110   35  125  220 -115  210  355   90  -65   70 -190  -10  125  185   20   30 -345  -80  320  175  275   75  -80  245   90   25   95  -55 -135  260  170  180  360    0   75  -25 -145 -200  105  125  170   60  -20  150 -105  245 -100   70 -110  305 -155  150  180  -65  270   70  270  135 -160   75   55  -10   75  165  -50   45 -185  150  130 -105   80   20  220  150  -40  205 -155   10  375   65  110  175 -225 -115  240  435    5 -130  -35  -45  -60  275  -15 -130  525  -40  -65   50 -115  180  -40  350  -65  -35  125  100  140   10  225  405   10   10 -265 -130  145  165  200  -40   55  -75    0   85   55 -200  200  -25    5  195   75    5   35  115  350  655  130  360  185  -90   10  225  -85  -70 -150   55 -100  100  -35  190  -70  180   35   35  210 -145  125  170   65  -85  295  -10   20 -220  -40  -75   65  -70  100  -35  -80  -20  -20  260   -5   -5   70   85  -80  295  -40  105  100 -225   70  -40  115  310  -80   85  -35  -85  295  205 -120   20   40  -75  160   10   20  -35   30   50   10 -170  175 -240 -145  125  -70  -10  115  110   20   95  120   85   25   75 -215  210   65   10  180  175  -15  110  275  -80  -50   -5   75  115   55  135  115  -55    0  -45  485  220    5  110   40  250  -20  -95    5 -100   65   40   50 -110  -10 -100  -15   65   15  125  245  150  -30  -25   55  105   75  115 -200   85  400  125   15   75  -10  -80  -15  105 -160   25 -340  -30   -5   95  -15  150   30  -30  250   90  220  -80  100 -125  -15  130  220  -75   40 -130   85  280  120  -15  150   55 -125 -155  185  -50    0  -55   60   95   25  340  340  -45    0   40  100   20    5  -25  150 -120  -75   60   35  150  -25 -230   75   65  150  -35   45  350  135  435  305 -145   60  145  240    0 -150   10   20   -5  255   95 -225    5   15  180  175  -25  375  335  245  -60  -70   45  130   50   50  -65  -10  110   75  505  275   75  -55 -155   70  -70  135   80  205  -25  185  130  100  -80  -30   45   60  100  -65  500  -70  145   45  275 -195 -100  205  215  260  220  -50 -165  -30   50   15  -45  125   15  110   45  175  195   65   10  -10   30 -230   20  350  160   30  -95  115  -25   55  -55  280   45  -10   30   80   25   90 -160 -150  255    0  -20 -120   70  160  150  385 -245   15  -45  -20  255  100   45   -5  115  105  -50  -65  280  450  260   80  170 -175  -30\"\n",
    "scores1=[float(i) for i in scores1.split()]\n",
    "scores2=[float(i) for i in scores2.split()]\n",
    "bins=list(range(-400,600,50))\n",
    "print(bins)\n",
    "\n",
    "fig=plt.figure(figsize=[9*2,6],dpi=50)\n",
    "ax=fig.subplots(1,2)\n",
    "ax[0].hist(scores1,rwidth=0.8,bins=bins)\n",
    "ax[1].hist(scores2,rwidth=0.8,bins=bins)"
   ]
  },
  {
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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 overriden (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": {
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       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first in random_0_1024\n",
    "gvf0=[-160.0, -50.0, 160.0, -60.0, 290.0, 310.0, -160.0, 260.0, -160.0, 30.0, 290.0, -160.0, -50.0, 30.0, 120.0, -50.0, 80.0, 310.0, 130.0, -20.0, 140.0, -160.0, -160.0, 0.0, -160.0, -10.0, -60.0, 0.0, 60.0, 80.0, 260.0, 30.0, 40.0, 290.0, 190.0, 310.0, 200.0, -90.0, 140.0, -160.0, 320.0, -70.0, -90.0, 310.0, 10.0, 290.0, 0.0, -10.0, 140.0, 290.0, 200.0, 30.0, -160.0, 280.0, 60.0, 120.0, -160.0, 290.0, 0.0, 0.0, 0.0, 220.0, 200.0, -70.0, -80.0, -320.0, 10.0, 230.0, -30.0, 310.0, 140.0, 290.0, 0.0, 0.0, -160.0, 230.0, 0.0, -70.0, -30.0, 80.0, -160.0, -120.0, -120.0, -160.0, 310.0, 320.0, 140.0, -100.0, -60.0, 290.0, 200.0, 260.0, 0.0, 0.0, -60.0, 310.0, 0.0, 0.0, 310.0, -90.0, 290.0, 30.0, 310.0, 30.0, 130.0, 320.0, -90.0, -60.0, -110.0, -160.0, -120.0, 40.0, 190.0, 290.0, -90.0, -60.0, 130.0, -20.0, -160.0, 120.0, -160.0, -30.0, -90.0, 280.0, 290.0, -90.0, -110.0, 260.0]\n",
    "fvg0=[-210.0, -320.0, 190.0, 460.0, 220.0, -170.0, -170.0, -160.0, -290.0, -340.0, 70.0, -130.0, 170.0, 390.0, 470.0, 210.0, 280.0, -130.0, 210.0, -490.0, -290.0, -40.0, -560.0, 210.0, 290.0, 160.0, -560.0, -320.0, 80.0, -210.0, -170.0, -30.0, 280.0, 230.0, -130.0, -190.0, 200.0, -130.0, -310.0, -560.0, 150.0, -130.0, -90.0, 180.0, 140.0, 230.0, 100.0, -290.0, 340.0, 370.0, 460.0, 190.0, -320.0, 70.0, -170.0, 200.0, 430.0, 140.0, 160.0, 150.0, 190.0, 60.0, -170.0, -230.0, -100.0, -170.0, -230.0, 130.0, 120.0, -370.0, -280.0, -270.0, -240.0, -310.0, 170.0, -560.0, 360.0, 140.0, 230.0, 210.0, 140.0, -210.0, -260.0, 130.0, 260.0, -10.0, -160.0, -210.0, 250.0, 480.0, -320.0, 220.0, 40.0, 340.0, -130.0, -100.0, 210.0, -290.0, 20.0, 360.0, -270.0, -230.0, 110.0, -240.0, -320.0, -470.0, -290.0, 100.0, 360.0, 170.0, -350.0, -100.0, -490.0, -320.0, -210.0, 210.0, -560.0, 20.0, -280.0, -290.0, -320.0, -210.0, 210.0, -130.0, 210.0, -280.0, 110.0, -170.0]\n",
    "#second in random_0_1024\n",
    "gvf1=[540.0, -200.0, 250.0, -400.0, 560.0, 250.0, 540.0, 560.0, 560.0, 550.0, 540.0, 490.0, 370.0, 170.0, 50.0, 500.0, 540.0, -400.0, 430.0, 450.0, 480.0, 560.0, -200.0, 370.0, 70.0, 100.0, 50.0, 210.0, 540.0, 260.0, 640.0, 500.0, 250.0, 660.0, 560.0, 550.0, 500.0, 50.0, 50.0, 430.0, 590.0, 560.0, 560.0, 250.0, 660.0, -200.0, -200.0, 250.0, 50.0, 50.0, 50.0, 550.0, 550.0, 400.0, 520.0, 190.0, 250.0, -100.0, 560.0, -200.0, 480.0, 60.0, 500.0, 50.0, -200.0, 450.0, 500.0, 560.0, 560.0, 60.0, -200.0, 300.0, 550.0, 450.0, 500.0, 360.0, 340.0, 560.0, 240.0, 370.0, 460.0, 450.0, 490.0, 550.0, 530.0, 250.0, 200.0, 560.0, 430.0, 500.0, 250.0, 550.0, -400.0, 370.0, 370.0, 250.0, -200.0, 550.0, 450.0, -500.0, 450.0, -200.0, 250.0, 250.0, 50.0, 510.0, 490.0, 50.0, 540.0, 450.0, 60.0, 530.0, 10.0, 550.0, 560.0, -200.0, 610.0, 550.0, 250.0, -200.0, 450.0, 50.0, 540.0, 560.0, 450.0, 550.0, 550.0, 250.0]\n",
    "fvg1=[500.0, 500.0, 500.0, 500.0, 500.0, 400.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 600.0, 600.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 600.0, 500.0, 130.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 400.0, 120.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 400.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 300.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 130.0, 600.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 400.0, 500.0, 600.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 600.0, 500.0, 500.0, 500.0, 500.0, 600.0]\n",
    "\n",
    "gvf2=[300.0, 50.0, 370.0, 100.0, 300.0, 200.0, 300.0, 300.0, 200.0, 300.0, 300.0, 300.0, 100.0, 150.0, 350.0, 100.0, 200.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 350.0, 200.0, 300.0, 350.0, 100.0, 300.0, 300.0, 300.0, 300.0, 300.0, 100.0, 300.0, 300.0, 300.0, 300.0, 150.0, 300.0, 300.0, 300.0, 300.0, 30.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, -50.0, 300.0, 300.0, 100.0, 100.0, 370.0, 300.0, 300.0, 370.0, 200.0, 300.0, 200.0, 300.0, 300.0, 300.0, 180.0, 300.0, 300.0, 200.0, 360.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 200.0, 300.0, 300.0, 300.0, 200.0, 200.0, 370.0, -100.0, 200.0, 300.0, 300.0, 100.0, 300.0, 300.0, 100.0, 300.0, 100.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 100.0, 300.0, 300.0, 300.0, 350.0, 300.0, 300.0, 300.0, 300.0, 300.0, 100.0, 200.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 300.0, 200.0, 200.0, 300.0, 200.0, 100.0]\n",
    "fvg2=[-300.0, -300.0, -300.0, -20.0, -450.0, -140.0, -320.0, -20.0, -450.0, -20.0, -420.0, -420.0, -300.0, -40.0, -300.0, -200.0, -300.0, -250.0, -450.0, -320.0, -450.0, -300.0, -320.0, -300.0, -200.0, -500.0, -500.0, -450.0, -500.0, -600.0, -300.0, -600.0, -120.0, -120.0, -600.0, -300.0, -350.0, -300.0, -600.0, -300.0, -500.0, -250.0, -250.0, -300.0, -450.0, -300.0, -420.0, -300.0, -300.0, -600.0, -450.0, -100.0, -350.0, -600.0, -20.0, -20.0, -500.0, -140.0, -590.0, -600.0, -500.0, -120.0, -300.0, -600.0, -450.0, -500.0, -300.0, -600.0, -300.0, -600.0, -350.0, -300.0, -420.0, -300.0, -420.0, -450.0, -600.0, -20.0, -300.0, -600.0, -300.0, -350.0, -500.0, -300.0, -300.0, -300.0, -300.0, -300.0, -300.0, -500.0, -20.0, -20.0, -300.0, -600.0, -300.0, -300.0, -500.0, -500.0, -400.0, -40.0, -300.0, -500.0, -300.0, -300.0, -300.0, -140.0, -350.0, -300.0, -600.0, -500.0, -450.0, -310.0, -250.0, -500.0, -450.0, -300.0, -300.0, -20.0, -20.0, -300.0, -590.0, -450.0, -500.0, -500.0, -400.0, -20.0, -300.0, -600.0]\n",
    "\n",
    "bins=list(range(-600,600,50))\n",
    "\n",
    "fig=plt.figure(figsize=[9*2,3*3],dpi=50)\n",
    "ax=fig.subplots(3,2)\n",
    "ax[0][0].hist(gvf0,rwidth=0.8,bins=bins)\n",
    "ax[0][1].hist(fvg0,rwidth=0.8,bins=bins)\n",
    "ax[1][0].hist(gvf1,rwidth=0.8,bins=bins)\n",
    "ax[1][1].hist(fvg1,rwidth=0.8,bins=bins)\n",
    "ax[2][0].hist(gvf2,rwidth=0.8,bins=bins)\n",
    "ax[2][1].hist(fvg2,rwidth=0.8,bins=bins)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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