Aggregate_Chelsea.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "# %matplotlib widget\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/benjamin/.pyenv/versions/3.7.3/envs/georasters/lib/python3.7/site-packages/pysal/explore/segregation/network/network.py:16: UserWarning: You need pandana and urbanaccess to work with segregation's network module\n",
      "You can install them with  `pip install urbanaccess pandana` or `conda install -c udst pandana urbanaccess`\n",
      "  \"You need pandana and urbanaccess to work with segregation's network module\\n\"\n",
      "/home/benjamin/.pyenv/versions/3.7.3/envs/georasters/lib/python3.7/site-packages/pysal/model/spvcm/abstracts.py:10: UserWarning: The `dill` module is required to use the sqlite backend fully.\n",
      "  from .sqlite import head_to_sql, start_sql\n"
     ]
    }
   ],
   "source": [
    "from load_and_aggregate_height import *\n",
    "from geo_scripts.process_height import *\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = gr.from_file(os.path.expanduser(\"~/Downloads/datasets/chelsea/CHELSA_bio10_12.tif\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-180.00013888885002, 0.0083333333, 0.0, 83.99986041515001, 0.0, -0.0083333333)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.geot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-180.00013888885002"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.xmin\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-90.00013888884999"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.ymin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0083333333"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.x_cell_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1, 0)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_indexes(data, -180, 84)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([10079, 21600])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.map_pixel_location(0,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "83.99986041515001"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.ymax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
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       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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       "        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",
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       "\n",
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       "        var fmt = mpl.extensions[ind];\n",
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       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
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       "    );\n",
       "\n",
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       "    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",
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       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
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       "\n",
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       "\n",
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       "    fig.ondownload(fig, format);\n",
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       "\n",
       "\n",
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       "        fig._resize_canvas(size[0], size[1]);\n",
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       "    };\n",
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       "\n",
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       "    var x0 = msg['x0'] / mpl.ratio;\n",
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       "    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 / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
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       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
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       "\n",
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       "\n",
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       "\n",
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       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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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 0x7f39adde71d0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_ranges = list(gen_ranges(-180, 180, 1))\n",
    "y_ranges = list(gen_ranges(90, -90, 1))\n",
    "aggregated = aggregate_grid(data, x_ranges, y_ranges)\n",
    "plt.imshow(aggregated)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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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 0x7f39b1502a20>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slices = get_slices(data, x_ranges, y_ranges)\n",
    "sl_ag = aggregate_slices(slices)\n",
    "plt.imshow(sl_ag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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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 0x7f39b0009c50>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def filter_masked(data):\n",
    "    if np.mean(data.mask) > 0.65:\n",
    "        return np.ma.masked\n",
    "    else:\n",
    "        return np.ma.mean(data)\n",
    "\n",
    "sl_ag = aggregate_slices(slices, filter_masked)\n",
    "plt.imshow(sl_ag[20:80,160:240])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-180.00013888885002, 0.0083333333, 0.0, 83.99986041515001, 0.0, -0.0083333333)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.geot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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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 0x7f39b141fa58>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desert = sl_ag < 250\n",
    "plt.imshow(desert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}