examples/jupyter_widgets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploring a MapManager map with widgets\n",
    "\n",
    "This notebook requires the following installs\n",
    "\n",
    "    # install ipywidgets python code\n",
    "    conda install -c conda-forge ipywidgets\n",
    "    \n",
    "    # enable widgets in your jupyter notebooks\n",
    "    jupyter nbextension enable --py --sys-prefix widgetsnbextension\n",
    "    \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load a map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "map rr30a loaded in 0.38 seconds.\n"
     ]
    }
   ],
   "source": [
    "# load a map\n",
    "from pymapmanager.mmMap import mmMap\n",
    "filePath = '/Users/cudmore/Desktop/data/cudmore/rr30a/rr30a.txt'\n",
    "m = mmMap(filePath=filePath)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dynamically browse a stack value across all stacksin a map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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": [
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       "<img 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AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAgY+BAcLuAAHku6b6AAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b3fbd3f9484b48509ac2519ce256dac0"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n",
    "\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "mySegmentID = [] # all segments in each stack\n",
    "myXStat = 'pDist' # change these to (pDist, mapSessions)\n",
    "myYStat = 'ubssSum_int2'\n",
    "\n",
    "#make initial x/y plot\n",
    "x = m.stacks[0].getStackValues2(myXStat, roiType=['spineROI'], segmentID=mySegmentID)\n",
    "y = m.stacks[0].getStackValues2(myYStat, roiType=['spineROI'], segmentID=mySegmentID)\n",
    "\n",
    "plt.figure()\n",
    "linePlot = plt.plot(x, y, 'o')[0] # show initial plot\n",
    "plt.show()\n",
    "\n",
    "def f(x):\n",
    "    # update the plot for session x\n",
    "    linePlot.set_xdata(m.stacks[x].getStackValues2(myXStat, segmentID=mySegmentID))\n",
    "    linePlot.set_ydata(m.stacks[x].getStackValues2(myYStat, segmentID=mySegmentID))\n",
    "    plt.draw()\n",
    "    return x\n",
    "\n",
    "# make a slider with values [0 .. numSessions-1]\n",
    "numSessions = m.numSessions\n",
    "myIntSlider = widgets.IntSlider(min=0, max=numSessions-1, step=1, value=0, description='Sessions')\n",
    "\n",
    "interact(f, x=myIntSlider)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Browse all images in a stack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mmStack.loadStack() loaded map session 0 channel 2 in 0.12 seconds.\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",
       "        this.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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f739f9f1373d4158bc498909886ef2c1"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clear global from previous cell\n",
    "plt.clf()\n",
    "\n",
    "myStackIdx = 0\n",
    "\n",
    "# load the stack images\n",
    "m.stacks[myStackIdx].loadStackImages(channel=2)\n",
    "\n",
    "# grab all the images in the stack, this is a 3D numpy ndarray\n",
    "images = m.stacks[myStackIdx].images # all images in stack, image 0 is images[0,:,:]\n",
    "\n",
    "# show the first image (slice 0)\n",
    "plt.figure()\n",
    "imgplot = plt.imshow(images[0,:,:]) # show initial plot\n",
    "plt.show()\n",
    "\n",
    "def f(x):\n",
    "    # update the plot for slice x\n",
    "    imgplot.set_data(images[x,:,:])\n",
    "    plt.draw()\n",
    "    return x\n",
    "\n",
    "# make a slider with values [0 .. numSlices-1]\n",
    "numSlices = images.shape[0]\n",
    "myIntSlider = widgets.IntSlider(min=0, max=numSlices-1, step=1, value=0, description='Slice')\n",
    "\n",
    "interact(f, x=myIntSlider)\n",
    "\n"
   ]
  },
  {
   "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": 1
}