{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/surion/anaconda2/lib/python2.7/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "sys.path.append(\"../src\")\n",
    "from eeg_reader import read_eeg, get_channel_number, get_stim_filenames\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "input_path = \"../data/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Files with stimuli: \\n', ['V0009889', 'V0009888', 'V0009885', 'V0009884', 'V0009887', 'V0009886', 'V0009881', 'V0009880', 'V0009883', 'V0009882', 'V0009500', 'V0008967', 'V0009870', 'V0009871', 'V0009872', 'V0009873', 'V0009874', 'V0009875', 'V0009876', 'V0009877', 'V0009878', 'V0009879', 'V0009479', 'V0009908', 'V0009909', 'V0009904', 'V0009905', 'V0009906', 'V0009907', 'V0009900', 'V0009901', 'V0009902', 'V0009903', 'V0009860', 'V0009867', 'V0009869', 'V0009868', 'V0009919', 'V0009918', 'V0009917', 'V0009916', 'V0009915', 'V0009914', 'V0009913', 'V0009912', 'V0009911', 'V0009910', 'V0009457', 'V0009922', 'V0009923', 'V0009920', 'V0009921', 'V0009926', 'V0009927', 'V0009924', 'V0009925', 'V0009928', 'V0009893', 'V0009935', 'V0009934', 'V0009937', 'V0009936', 'V0009931', 'V0009930', 'V0009933', 'V0009932', 'V0009939', 'V0009938', 'V0009534', 'V0009940', 'V0009941', 'V0009942', 'V0009943', 'V0009944', 'V0009546', 'V0009813', 'V0009898', 'V0009899', 'V0009892', 'V0009488', 'V0009890', 'V0009891', 'V0009896', 'V0009897', 'V0009894', 'V0009895', 'V0009552'])\n"
     ]
    }
   ],
   "source": [
    "fnames = get_stim_filenames(input_path)\n",
    "print(\"Files with stimuli: \\n\", fnames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Shape of eeg data: ', (1202030, 27))\n"
     ]
    }
   ],
   "source": [
    "fname = fnames[0]\n",
    "n_channels =  get_channel_number(fname, input_path)\n",
    "\n",
    "eeg = read_eeg(input_path+fname, n_channels=n_channels)\n",
    "print(\"Shape of eeg data: \", eeg.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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": {
      "text/html": [
       "<div id='6a47c005-1777-473c-808f-833696ddfee5'></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "_ = plt.plot(eeg[:10000, 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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=\"639.8333333333334\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "_ = [plt.plot(eeg[:10000, i]+i*200) for i in range(eeg.shape[1])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}