{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rainfall composite\n",
    "* Wenchang Yang (wenchang@princeton.edu)\n",
    "* Department of Geosciences, Princeton Univeristy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:11:59.869166Z",
     "start_time": "2018-08-09T19:11:56.313315Z"
    }
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from geoplots import mapplot, xticks2lon, yticks2lat\n",
    "from climindex import get_mjo\n",
    "\n",
    "from scipy.stats import ttest_1samp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:12:03.500364Z",
     "start_time": "2018-08-09T19:12:02.989669Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:12:21.251064Z",
     "start_time": "2018-08-09T19:12:04.468135Z"
    }
   },
   "outputs": [],
   "source": [
    "# data: precip\n",
    "ncfile = 'chirps-v2.0.days_p05.28E36E_02S06N.nc'\n",
    "precip = xr.open_mfdataset(ncfile).precip.load().rename({'longitude': 'lon', 'latitude': 'lat'})\n",
    "da = precip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:12:23.194060Z",
     "start_time": "2018-08-09T19:12:23.054245Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            Date_Number  MJO Phase  Average specimens  month\n",
      "Date                                                        \n",
      "2012-03-06        40974          4                1.0      3\n",
      "2012-03-07        40975          4                1.5      3\n",
      "2012-03-08        40976          4                1.0      3\n",
      "2012-03-09        40977          4                1.8      3\n",
      "2012-03-20        40988          6                8.5      3\n",
      "sample size: 152\n"
     ]
    }
   ],
   "source": [
    "# data: mosquito abundance\n",
    "df = pd.read_csv('MJO_Abundance.csv', index_col=0, parse_dates=True)\n",
    "df['month'] = df.index.month\n",
    "df = df[(df['month']>=3) & (df['month']<=5)]\n",
    "print(df.head())\n",
    "print('sample size:', df.index.size)\n",
    "\n",
    "time_base = df.index\n",
    "ts = df['Average specimens']\n",
    "time_e = df[ts>ts.quantile(.85)].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:12:26.216575Z",
     "start_time": "2018-08-09T19:12:25.917752Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sites = [('Kihihi', -0.748889, 29.7003), # name, lat, lon\n",
    "         ('Walukuba', 0.447222, 33.2367),\n",
    "         ('Nagongera', .77, 34.0261)]\n",
    "mapplot(lon=(20,52), lat=(-10,12))\n",
    "for site in sites:\n",
    "    plt.plot(site[2], site[1], marker='+', markersize=20)\n",
    "    plt.text(site[2], site[1], site[0], \n",
    "             ha='left', va='top', fontsize='x-large', rotation=-30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## composite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:13:37.674962Z",
     "start_time": "2018-08-09T19:13:37.603503Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# data: prcp composite for differnet MJO phases\n",
    "da = precip\n",
    "da_base = da.sel(time=time_base).mean('time')\n",
    "da_e = da.sel(time=time_e) - da_base\n",
    "tt, pvalues = ttest_1samp(da_e, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:16:15.692955Z",
     "start_time": "2018-08-09T19:16:14.368240Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig\n",
    "da_e.mean('time').where(pvalues<.05).plot(cmap='BrBG', robust=True, )\n",
    "mapplot()\n",
    "for site in sites:\n",
    "        plt.plot(site[2], site[1], marker='+', markersize=10, color='C3')\n",
    "        plt.text(site[2], site[1], site[0], \n",
    "             ha='left', va='top', color='C3', rotation=-60)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## composite, precip one day leads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:47:10.011263Z",
     "start_time": "2018-08-09T19:47:09.828042Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# data: prcp composite for differnet MJO phases\n",
    "das = dict()\n",
    "pvalues = dict()\n",
    "\n",
    "precip_lead_days = range(0, 9)\n",
    "da = precip\n",
    "da_base = da.sel(time=time_base).mean('time')\n",
    "\n",
    "for d in precip_lead_days:\n",
    "    da_e = da.sel(time=time_e.shift(-d,'D')) - da_base\n",
    "    tt, pp = ttest_1samp(da_e, 0)\n",
    "    das[d] = da_e.mean('time')\n",
    "    pvalues[d] = xr.DataArray(pp, dims=das[d].dims, coords=[das[d][dim] for dim in das[d].coords])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:57:41.579189Z",
     "start_time": "2018-08-09T19:57:41.163919Z"
    },
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"999.4166666666666\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/matplotlib/figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    }
   ],
   "source": [
    "# fig: prcp composite\n",
    "fig, axes = plt.subplots(2,4, sharex=True, sharey=True, figsize=(10,6))\n",
    "for i,ax in enumerate(axes.flat):\n",
    "    plt.sca(ax)\n",
    "    im = das[i].plot(cmap='BrBG',robust=True, \n",
    "                                    levels=np.arange(-8,8.1,1),\n",
    "                                    add_colorbar=False)\n",
    "    pvalues[i].where(pvalues[i]<.05).pipe(lambda x: x*0).geo.fxyplot(plot_type='hatches',\n",
    "                                                                     hatches=['//////'])\n",
    "    mapplot(lon=das[i].lon, lat=das[i].lat)\n",
    "    for site in sites[0:1]:\n",
    "        plt.plot(site[2], site[1], marker='+', markersize=10, color='C3')\n",
    "        plt.text(site[2], site[1], site[0], \n",
    "             ha='left', va='top', color='C3', rotation=-60)\n",
    "    \n",
    "    plt.text(.02, .98, f'Prcp leads: {i} day(s)', ha='left', va='top', transform=ax.transAxes)\n",
    "    \n",
    "    plt.xlabel('')\n",
    "    plt.ylabel('')\n",
    "    \n",
    "\n",
    "plt.sca(axes[1,0])\n",
    "yticks2lat(range(0,6,2))\n",
    "xticks2lon(range(30,36,2))\n",
    "\n",
    "# plt.suptitle(f'{years[0]}-{years[1]} {season} CHIRPS prcp anomaly composite according to MJO phase')\n",
    "\n",
    "ax = fig.add_axes((.23,.08,.6,.02))\n",
    "plt.colorbar(im, cax=ax, orientation='horizontal', label='mm/day')\n",
    "\n",
    "plt.tight_layout(rect=(0,.1,1,.95))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-09T19:59:32.690602Z",
     "start_time": "2018-08-09T19:59:32.347165Z"
    },
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"pdf\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/matplotlib/figure.py:2267: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not compatible \"\n"
     ]
    }
   ],
   "source": [
    "# fig: prcp composite\n",
    "fig, axes = plt.subplots(2,4, sharex=True, sharey=True, figsize=(10,6))\n",
    "for i,ax in enumerate(axes.flat):\n",
    "    plt.sca(ax)\n",
    "    im = das[i].where(pvalues[i]<.05).plot(cmap='BrBG',robust=True, \n",
    "                                    levels=np.arange(-8,8.1,1),\n",
    "                                    add_colorbar=False)\n",
    "    mapplot(lon=das[i].lon, lat=das[i].lat)\n",
    "    for site in sites[0:1]:\n",
    "        plt.plot(site[2], site[1], marker='+', markersize=10, color='C3')\n",
    "        plt.text(site[2], site[1], site[0], \n",
    "             ha='left', va='top', color='C3', rotation=-60)\n",
    "    \n",
    "    plt.text(.02, .98, f'Prcp leads: {i} day(s)', ha='left', va='top', transform=ax.transAxes)\n",
    "    \n",
    "    plt.xlabel('')\n",
    "    plt.ylabel('')\n",
    "    \n",
    "\n",
    "plt.sca(axes[1,0])\n",
    "yticks2lat(range(0,6,2))\n",
    "xticks2lon(range(30,36,2))\n",
    "\n",
    "# plt.suptitle(f'{years[0]}-{years[1]} {season} CHIRPS prcp anomaly composite according to MJO phase')\n",
    "\n",
    "ax = fig.add_axes((.23,.08,.6,.02))\n",
    "plt.colorbar(im, cax=ax, orientation='horizontal', label='mm/day')\n",
    "\n",
    "plt.tight_layout(rect=(0,.1,1,.95))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
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