SH WFS - Slope variance.ipynb

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   "source": [
    "import numpy\n",
    "%matplotlib nbagg\n",
    "from matplotlib import pyplot\n",
    "from tqdm import tnrange"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   "source": [
    "from soapy import atmosphere, WFS, confParse\n",
    "import aotools"
   ]
  },
  {
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   "execution_count": 3,
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   "source": [
    "SOAPY_CONF = \"conf/wfs/shpixelvariance.yaml\""
   ]
  },
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      "False\n",
      "2560\n",
      "8\n",
      "82\n",
      "pupilSize:64\n",
      "simSize:66\n",
      "4.0\n",
      "[0]\n"
     ]
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       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
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       "    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",
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       "\n",
       "    canvas_div.append(canvas);\n",
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       "\n",
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       "\n",
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       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11227da58>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initialise the WFS\n",
    "config = confParse.loadSoapyConfig(SOAPY_CONF)\n",
    "\n",
    "config.sim.pupilSize = 64\n",
    "\n",
    "config.tel.telDiam=1.\n",
    "\n",
    "config.wfss[0].wavelength = 500e-9\n",
    "config.wfss[0].subapFOV = 4.\n",
    "config.wfss[0].subapThreshold = 1.\n",
    "config.wfss[0].pxlsPerSubap = 8 \n",
    "\n",
    "config.atmos.scrnNo = 1\n",
    "config.atmos.wholeScrnSize = 64 * 40\n",
    "config.atmos.windDirs[0] = 0\n",
    "config.atmos.windSpeeds[0] = 50\n",
    "config.atmos.infinite = False\n",
    "config.atmos.L0 = numpy.array([100])\n",
    "config.atmos.randomScrns = False\n",
    "\n",
    "\n",
    "config.calcParams()\n",
    "\n",
    "mask = aotools.circle(config.sim.pupilSize/2., config.sim.simSize)\n",
    "\n",
    "wfs = WFS.ShackHartmann(config, 0, mask)\n",
    "\n",
    "print(config.atmos.subHarmonics)\n",
    "print(config.atmos.wholeScrnSize)\n",
    "print(wfs.subapFOVSpacing)\n",
    "print(wfs.scaledEFieldSize)\n",
    "print(\"pupilSize:{}\".format(config.sim.pupilSize))\n",
    "print(\"simSize:{}\".format(config.sim.simSize))\n",
    "print(config.wfss[0].subapFOV)\n",
    "print(config.atmos.scrnHeights)\n",
    "pyplot.figure()\n",
    "pyplot.imshow(wfs.wfsDetectorPlane)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Make a set of phase screens to test\n",
    "N_ITERS = 1000\n",
    "N_SCRNS = 4\n",
    "\n",
    "NR0 = 5\n",
    "R0s = numpy.linspace(0.05, 0.25, NR0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.42406840554768e-06\n"
     ]
    }
   ],
   "source": [
    "# Conversion from slopes into radians\n",
    "wfsPxlScale_asec = float(config.wfss[0].subapFOV)/config.wfss[0].pxlsPerSubap\n",
    "wfsPxlScale_deg = wfsPxlScale_asec/3600.\n",
    "wfsPxlScale_rad = wfsPxlScale_deg * (numpy.pi/180.)\n",
    "print(wfsPxlScale_rad)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d244b0acef884460957b37cb86321e32"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test R0: 0.05\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "82fbb5a3e5dc469fa1a812e684b8b060"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8739b4bb47a24462826da352d3f1c519"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "33c62134bda748438ace193013b3257e"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1719abf04f5341b0ba410d13df5ed9e6"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e2beb5bb34304f588c877c10a09672cd"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test R0: 0.1\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4b633977f33548e2a8286512f58a9e36"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eb393aeb556144499c09e7f8a77c1457"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c1febc26e55458f9987b2b643117685"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "03b9827aede343c6a65308c53fb57109"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e6d5a700fee543a3bf588a49a5a0bd86"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test R0: 0.15000000000000002\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fe99c7b2f50c49d9840393fd1eb86a3c"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
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      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ccbecad7546d462dbc9eab6255ff4290"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c78d6196a7bf43f59c33d85d092e026c"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
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    {
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test R0: 0.2\n"
     ]
    },
    {
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       "model_id": "d216bfad3c0b49ceb061230afd15ec95"
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     "text": [
      "Made screen - starting run\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
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       "model_id": "1d4c6154e5e34f2ea6e2275ade58fc8b"
      }
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4fa87ad03f5b434c960132f43a376d60"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
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       "model_id": "70444bf3dd1a4b6a84237fd46ad32b7b"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test R0: 0.25\n"
     ]
    },
    {
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       "model_id": "55cd2b6a19e14253917f9c65ec7a1de1"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
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       "model_id": "6624c99b65d14709b2923e4b50e3ce3c"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
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       "model_id": "7c55374da5e841f3a025bf6da98fb7e8"
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
     "data": {
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       "model_id": "363f93756cce4f99a586774247bb9b24"
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Made screen - starting run\n"
     ]
    },
    {
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       "model_id": "3ca332624cb1430fa62bfac5337def50"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "slopes = numpy.zeros((NR0, N_SCRNS*N_ITERS, wfs.activeSubaps))\n",
    "# fig = pyplot.figure()\n",
    "for ir0 in tnrange(NR0):\n",
    "    r0 = R0s[ir0]\n",
    "    print('Test R0: {}'.format(r0))\n",
    "    config.atmos.r0 = r0\n",
    "    for iscrn in tnrange(N_SCRNS):\n",
    "        atmos = atmosphere.atmos(config)\n",
    "        print('Made screen - starting run')\n",
    "        for i in tnrange(N_ITERS):\n",
    "            scrns = atmos.moveScrns()\n",
    "            slopes[ir0, iscrn*N_ITERS + i] = wfs.frame(scrns)[:wfs.activeSubaps]\n",
    "#             pyplot.cla()\n",
    "#             pyplot.imshow(scrns[0])\n",
    "#             fig.canvas.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wavelength (m): 5e-07\n",
      "Subap Diameter (m): 0.1\n"
     ]
    }
   ],
   "source": [
    "# Convert slopes to rad\n",
    "slopes_rad = slopes*wfsPxlScale_rad\n",
    "# Measure r0 using slope variance\n",
    "wvl = config.wfss[0].wavelength\n",
    "# wvl = 600e-9\n",
    "print(\"Wavelength (m): {}\".format(wvl))\n",
    "d = wfs.subapDiam\n",
    "print(\"Subap Diameter (m): {}\".format(d))\n",
    "measuredR0 = numpy.zeros(NR0)\n",
    "for i in range(NR0):\n",
    "    sVar = slopes_rad[i].var(0).mean()\n",
    "    measuredR0[i] = ((0.162*(wvl**2) * d**(-1./3)) / sVar)**(3./5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5, 4000, 68)\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x103ba9b38>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(slopes.shape)\n",
    "pyplot.figure()\n",
    "pyplot.imshow(slopes[0], aspect=\"auto\")\n",
    "pyplot.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the 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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      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.05729865  0.11088531  0.16020332  0.19988375  0.28736414]\n"
     ]
    }
   ],
   "source": [
    "pyplot.figure()\n",
    "pyplot.plot(R0s, measuredR0)\n",
    "pyplot.plot(R0s, R0s, color=\"k\", linestyle=\"--\")\n",
    "pyplot.grid()\n",
    "pyplot.xlabel(\"Phase Screen $r_0$\")\n",
    "pyplot.ylabel(\"$r_0$ measured from WFS slopes\")\n",
    "print(measuredR0)"
   ]
  },
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   "cell_type": "code",
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