P_Scarth_Mangrove_change_detection_example.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Mangrove change detection using annual mean NDVI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "This example notebook describes how to retrieve data for a small region and epoch of interest, concatenate data from available sensors and calculate the annual mean NDVI values.  You can then select a location of interest based on the change between years, retrieve an NDVI time series for that location and select imagery from before and after the change event"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:06.502514",
     "start_time": "2016-06-09T11:09:04.805211"
    },
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab notebook\n",
    "import datacube\n",
    "import xarray as xr\n",
    "from datacube.storage import masking\n",
    "from datacube.storage.masking import mask_to_dict\n",
    "from matplotlib.backends.backend_pdf import PdfPages\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.dates\n",
    "from IPython.display import display\n",
    "import ipywidgets as widgets\n",
    "import rasterio\n",
    "from datacube.storage.storage import write_dataset_to_netcdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-06-09T11:09:07.599525",
     "start_time": "2016-06-09T11:09:07.553759"
    },
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "dc = datacube.Datacube(app='dc-show changes in annual mean NDVI values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "#### DEFINE SPATIOTEMPORAL RANGE AND BANDS OF INTEREST\n",
    "#Use this to manually define an upper left/lower right coords\n",
    "#Either as polygon or as lat/lon range\n",
    "\n",
    "#Define temporal range\n",
    "start_of_epoch = '1995-01-01'\n",
    "#need a variable here that defines a rolling 'latest observation'\n",
    "end_of_epoch =  '2016-12-31'\n",
    "\n",
    "#Define wavelengths/bands of interest, remove this kwarg to retrieve all bands\n",
    "bands_of_interest = [#'blue',\n",
    "                     'green',\n",
    "                     'red', \n",
    "                     'nir',\n",
    "                     'swir1', \n",
    "                     #'swir2'\n",
    "                     ]\n",
    "\n",
    "#Define sensors of interest, # out sensors that aren't relevant for the time period\n",
    "sensors = [\n",
    "    'ls8', #May 2013 to present\n",
    "    'ls7', #1999 to present\n",
    "    'ls5' #1986 to present, full contintal coverage from 1987 onwards\n",
    "        ] \n",
    "\n",
    "\n",
    "query = {\n",
    "    'time': (start_of_epoch, end_of_epoch),\n",
    "}\n",
    "\n",
    "#The example shown here is for the Black Saturday Fires in Victoria, but you can update with coordinates for\n",
    "#your area of interest\n",
    "lat_max = -15.0\n",
    "lat_min = -15.13\n",
    "lon_max = 128.4\n",
    "lon_min = 128.3\n",
    "query['x'] = (lon_min, lon_max)\n",
    "query['y'] = (lat_max, lat_min)\n",
    "query['crs'] = 'EPSG:4326'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'y': (-15.0, -15.13), 'x': (128.3, 128.4), 'crs': 'EPSG:4326', 'time': ('1995-01-01', '2016-12-31')}\n"
     ]
    }
   ],
   "source": [
    "print query"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## PQ and Index preparation\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "deletable": true,
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   "outputs": [],
   "source": [
    "#Group PQ by solar day to avoid idiosyncracies of N/S overlap differences in PQ algorithm performance\n",
    "pq_albers_product = dc.index.products.get_by_name(sensors[0]+'_pq_albers')\n",
    "valid_bit = pq_albers_product.measurements['pixelquality']['flags_definition']['contiguous']['bits']\n",
    "\n",
    "def pq_fuser(dest, src):\n",
    "    valid_val = (1 << valid_bit)\n",
    "\n",
    "    no_data_dest_mask = ~(dest & valid_val).astype(bool)\n",
    "    np.copyto(dest, src, where=no_data_dest_mask)\n",
    "\n",
    "    both_data_mask = (valid_val & dest & src).astype(bool)\n",
    "    np.copyto(dest, src & dest, where=both_data_mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "#Define which pixel quality artefacts you want removed from the results\n",
    "mask_components = {'cloud_acca':'no_cloud',\n",
    "'cloud_shadow_acca' :'no_cloud_shadow',\n",
    "'cloud_shadow_fmask' : 'no_cloud_shadow',\n",
    "'cloud_fmask' :'no_cloud',\n",
    "'blue_saturated' : False,\n",
    "'green_saturated' : False,\n",
    "'red_saturated' : False,\n",
    "'nir_saturated' : False,\n",
    "'swir1_saturated' : False,\n",
    "'swir2_saturated' : False,\n",
    "'contiguous':True}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Retrieve the NBAR and PQ data for sensor n\n",
    "sensor_clean = {}\n",
    "for sensor in sensors:\n",
    "    #Load the NBAR and corresponding PQ\n",
    "    sensor_nbar = dc.load(product= sensor+'_nbar_albers', group_by='solar_day', measurements = bands_of_interest,  **query)\n",
    "    sensor_pq = dc.load(product= sensor+'_pq_albers', group_by='solar_day', fuse_func=pq_fuser, **query)\n",
    "    #grab the projection info before masking/sorting\n",
    "    crs = sensor_nbar.crs\n",
    "    crswkt = sensor_nbar.crs.wkt\n",
    "    affine = sensor_nbar.affine\n",
    "    #This line is to make sure there's PQ to go with the NBAR\n",
    "    sensor_nbar = sensor_nbar.sel(time = sensor_pq.time)\n",
    "    #Apply the PQ masks to the NBAR\n",
    "    cloud_free = masking.make_mask(sensor_pq, **mask_components)\n",
    "    good_data = cloud_free.pixelquality.loc[start_of_epoch:end_of_epoch]\n",
    "    sensor_nbar = sensor_nbar.where(good_data)\n",
    "    sensor_clean[sensor] = sensor_nbar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 228, x: 451, y: 583)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1995-01-03T00:42:47.500000 ...\n",
       "  * y        (y) float64 -1.597e+06 -1.597e+06 -1.597e+06 -1.597e+06 ...\n",
       "  * x        (x) float64 -4.014e+05 -4.013e+05 -4.013e+05 -4.013e+05 ...\n",
       "Data variables:\n",
       "    green    (time, y, x) float64 890.0 816.0 742.0 742.0 779.0 779.0 816.0 ...\n",
       "    red      (time, y, x) float64 1.1e+03 1.01e+03 920.0 920.0 950.0 950.0 ...\n",
       "    nir      (time, y, x) float64 1.62e+03 1.458e+03 1.376e+03 1.336e+03 ...\n",
       "    swir1    (time, y, x) float64 1.557e+03 1.417e+03 1.249e+03 1.109e+03 ...\n",
       "Attributes:\n",
       "    crs: EPSG:3577"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sensor_nbar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Concatenate data from different sensors together and sort so that observations are sorted by time rather\n",
    "# than sensor\n",
    "nbar_clean = xr.concat(sensor_clean.values(), dim='time')\n",
    "time_sorted = nbar_clean.time.argsort()\n",
    "nbar_clean = nbar_clean.isel(time=time_sorted)\n",
    "nbar_clean.attrs['crs'] = crs\n",
    "nbar_clean.attrs['affine'] = affine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Calculate NDVI\n",
    "ndvi = ((nbar_clean.nir-nbar_clean.red)/(nbar_clean.nir+nbar_clean.red))\n",
    "\n",
    "#This controls the colour maps used for plotting NDVI\n",
    "ndvi_cmap = mpl.colors.ListedColormap(['blue', '#ffcc66','#ffffcc' , '#ccff66' , '#2eb82e', '#009933' , '#006600'])\n",
    "ndvi_bounds = [-1, 0, 0.1, 0.25, 0.35, 0.5, 0.8, 1]\n",
    "ndvi_norm = mpl.colors.BoundaryNorm(ndvi_bounds, ndvi_cmap.N)\n",
    "ndvi.attrs['crs'] = crs\n",
    "ndvi.attrs['affine'] = affine\n",
    "\n",
    "#Calculate annual average NDVI values\n",
    "annual_ndvi = ndvi.groupby('time.year')\n",
    "annual_mean = annual_ndvi.mean(dim = 'time') #The .mean argument here can be replaced by max, min, median\n",
    "#but you'll need to update the code below here accordingly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Plotting an image, view the transect and select a location to retrieve a time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
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       "\n",
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       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
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       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
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       "\n",
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       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
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       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"639.8499802953507\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "#Plot the mean NDVI values for a year of interest (yoi)\n",
    "#Dark green = high amounts of green vegetation through to yellows and oranges being lower amounts of vegetation,\n",
    "#Blue indicates a NDVI < 0 typically associated with water\n",
    "yoi = 2005\n",
    "plt.title('Average annual NDVI for '+str(yoi))\n",
    "arr_yoi = annual_mean.sel(year =yoi)\n",
    "plt.imshow(arr_yoi.squeeze(), interpolation = 'nearest', cmap = ndvi_cmap, norm = ndvi_norm,\n",
    "           extent=[arr_yoi.coords['x'].min(), arr_yoi.coords['x'].max(), \n",
    "                   arr_yoi.coords['y'].min(), arr_yoi.coords['y'].max()])\n",
    "w = widgets.HTML(\"Event information appears here when you click on the figure\")\n",
    "def callback(event):\n",
    "    global x, y\n",
    "    x, y = int(event.xdata + 0.5), int(event.ydata + 0.5)\n",
    "    w.value = 'X: {}, Y: {}'.format(x,y)\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', callback)\n",
    "plt.title('Change in mean NDVI between '+str(ref_year)+' and '+str(change_year))\n",
    "plt.show()\n",
    "display(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'#Calculate the difference between in mean NDVI between two years, a reference year and a change year\\n\\nfig = plt.figure()\\n#Define the year you wish to use as a reference point\\nref_year = 1995\\n#Define the year you wish to use to detect change\\nchange_year = 2010\\nnd_ref_year = annual_mean.sel(year = (ref_year))\\nnd_change_year =annual_mean.sel(year = (change_year))\\nnd_dif = nd_change_year - nd_ref_year\\nplt.imshow(nd_dif, cmap = \\'RdYlGn\\', vmin = -0.4, vmax = 0.4, extent=[nd_dif.coords[\\'x\\'].min(), nd_dif.coords[\\'x\\'].max(), \\n                   nd_dif.coords[\\'y\\'].min(), nd_dif.coords[\\'y\\'].max()])\\n#nd_dif.plot(cmap = \\'RdYlGn\\', vmin = -0.3, vmax = 0.3)\\n#Click on this image to chose the location for time series extraction\\nw = widgets.HTML(\"Event information appears here when you click on the figure\")\\ndef callback(event):\\n    global x, y\\n    x, y = int(event.xdata + 0.5), int(event.ydata + 0.5)\\n    w.value = \\'X: {}, Y: {}\\'.format(x,y)\\n\\nfig.canvas.mpl_connect(\\'button_press_event\\', callback)\\nplt.title(\\'Change in mean NDVI between \\'+str(ref_year)+\\' and \\'+str(change_year))\\nplt.show()\\ndisplay(w)'"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"#Calculate the difference between in mean NDVI between two years, a reference year and a change year\n",
    "\n",
    "fig = plt.figure()\n",
    "#Define the year you wish to use as a reference point\n",
    "ref_year = 1995\n",
    "#Define the year you wish to use to detect change\n",
    "change_year = 2010\n",
    "nd_ref_year = annual_mean.sel(year = (ref_year))\n",
    "nd_change_year =annual_mean.sel(year = (change_year))\n",
    "nd_dif = nd_change_year - nd_ref_year\n",
    "plt.imshow(nd_dif, cmap = 'RdYlGn', vmin = -0.4, vmax = 0.4, extent=[nd_dif.coords['x'].min(), nd_dif.coords['x'].max(), \n",
    "                   nd_dif.coords['y'].min(), nd_dif.coords['y'].max()])\n",
    "#nd_dif.plot(cmap = 'RdYlGn', vmin = -0.3, vmax = 0.3)\n",
    "#Click on this image to chose the location for time series extraction\n",
    "w = widgets.HTML(\"Event information appears here when you click on the figure\")\n",
    "def callback(event):\n",
    "    global x, y\n",
    "    x, y = int(event.xdata + 0.5), int(event.ydata + 0.5)\n",
    "    w.value = 'X: {}, Y: {}'.format(x,y)\n",
    "\n",
    "fig.canvas.mpl_connect('button_press_event', callback)\n",
    "plt.title('Change in mean NDVI between '+str(ref_year)+' and '+str(change_year))\n",
    "plt.show()\n",
    "display(w)\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## This section is for viewing a time series of NDVI - and retrieving the image that corresponds with a particular point on a time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#this converts the map x coordinate into image x coordinates\n",
    "image_coords = ~affine * (x, y)\n",
    "imagex = int(image_coords[0])\n",
    "imagey = int(image_coords[1])\n",
    "\n",
    "#retrieve the time series for the pixel location clicked above\n",
    "ts_ndvi = ndvi.isel(x=[imagex],y=[imagey]).dropna('time', how = 'any')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"799.5333087111189\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "['1995-01-01', '2014-12-31', -0.5, 1]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use this plot to visualise a time series and select the image that corresponds with a point in the time series\n",
    "def callback(event):\n",
    "    global time_int, devent\n",
    "    devent = event\n",
    "    time_int = event.xdata\n",
    "    #time_int_ = time_int.astype(datetime64[D])\n",
    "    w.value = 'time_int: {}'.format(time_int)\n",
    "\n",
    "fig = plt.figure(figsize=(8,5))\n",
    "fig.canvas.mpl_connect('button_press_event', callback)\n",
    "plt.show()\n",
    "display(w)\n",
    "\n",
    "firstyear = '1995-01-01'\n",
    "lastyear = '2014-12-31'\n",
    "ts_ndvi.plot(linestyle= '--', c= 'b', marker = '8', mec = 'b', mfc ='r')\n",
    "plt.grid()\n",
    "\n",
    "plt.axis([firstyear , lastyear ,-0.5, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Convert the point clicked in the time series to a date and retrieve the corresponding image\n",
    "time_slice = matplotlib.dates.num2date(time_int).date()\n",
    "rgb = nbar_clean.sel(time =time_slice, method = 'nearest').to_array(dim='color').sel(color=['swir1', 'nir', 'green']).transpose('y', 'x', 'color')\n",
    "fake_saturation = 3000\n",
    "clipped_visible = rgb.where(rgb<fake_saturation).fillna(fake_saturation)\n",
    "max_val = clipped_visible.max(['y', 'x'])\n",
    "scaled = (clipped_visible / max_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"1199.2999630666784\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#This image shows the time slice of choice and the location of the time series \n",
    "fig = plt.figure(figsize =(12,6))\n",
    "#plt.scatter(x=trans.coords['x'], y=trans.coords['y'], c='r')\n",
    "plt.scatter(x = [x], y = [y], c= 'yellow', marker = 'D')\n",
    "plt.imshow(scaled, interpolation = 'nearest',\n",
    "           extent=[scaled.coords['x'].min(), scaled.coords['x'].max(), \n",
    "                   scaled.coords['y'].min(), scaled.coords['y'].max()]\n",
    "          )\n",
    "plt.title(time_slice)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#write_dataset_to_netcdf(max_dif_ds, '/g/data/r78/lxl554/ndvi_max_delta_from_'+str(change_year)+'to'+str(ref_year)+'.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  },
  "toc": {
   "toc_cell": false,
   "toc_number_sections": false,
   "toc_threshold": 6,
   "toc_window_display": true
  },
  "widgets": {
   "state": {
    "26f05fdaec1e4bfeab93586dc86f7a2f": {
     "views": [
      {
       "cell_index": 18
      }
     ]
    },
    "d17950d85eed42638493bdfb4c16b58e": {
     "views": [
      {
       "cell_index": 14
      }
     ]
    }
   },
   "version": "1.2.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}