index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "<a href=\"https://tephi.readthedocs.io/en/latest/\">\n",
    "    <img src=\"https://scitools.github.io/tephi/tephi-logo-200-137.png\" alt=\"Tephi\">\n",
    "</a>\n",
    "</p>\n",
    "<p style=\"text-align: center; font-weight: bold; font-size: 20px;\">\n",
    "    Tephigram plotting in Python\n",
    "</p>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook provides a few simple worked examples showing you how to use the `tephi` Python package to easily plot your metorological data on a tephigram.\n",
    "\n",
    "For further details, please refer to the [Tephi documentation](https://tephi.readthedocs.io/en/latest/index.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import tephi\n",
    "from tephi import Tephigram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load `tephi` sample data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's load some pre-define `tephi` sample data to plot on our tephigrams."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's load some `tephi` sample **dew point temperature** and **dry bulb temperature** data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_dewpoint = os.path.join(tephi.DATA_DIR, \"dews.txt\")\n",
    "fname_drybulb = os.path.join(tephi.DATA_DIR, \"temps.txt\")\n",
    "\n",
    "column_titles = [(\"pressure\", \"dewpoint\"),\n",
    "                 (\"pressure\", \"temperature\")]\n",
    "\n",
    "data_dewpoint, data_drybulb = tephi.loadtxt(fname_dewpoint, fname_drybulb, column_titles=column_titles)\n",
    "\n",
    "dewpoint = list(zip(data_dewpoint.pressure, data_dewpoint.dewpoint))\n",
    "drybulb = list(zip(data_drybulb.pressure, data_drybulb.temperature))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also, let's load some `tephi` sample **wind barb** data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_barbs = os.path.join(tephi.DATA_DIR, \"barbs.txt\")\n",
    "\n",
    "column_titles = [(\"pressure\", \"dewpoint\", \"wind_speed\", \"wind_direction\")]\n",
    "\n",
    "data_barbs = tephi.loadtxt(fname_barbs, column_titles=column_titles)\n",
    "\n",
    "barbs = list(zip(data_barbs.wind_speed, data_barbs.wind_direction, data_barbs.pressure))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot `tephi` sample data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's plot our **dew point temperature** and **dry bulb temperature** data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
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       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
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       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
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       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<tephi.isopleths.Profile at 0x7f0fa6624610>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figure = plt.figure(figsize=(8, 8))\n",
    "\n",
    "tephigram = Tephigram(figure=figure)\n",
    "tephigram.plot(dewpoint, label=\"Dew Point Temperature\", color=\"blue\")\n",
    "tephigram.plot(drybulb, label=\"Dry Bulb Temperature\", color=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally, let's plot our **wind barb** data and associate it with the **dew point temperature** data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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     "data": {
      "text/plain": [
       "<tephi.isopleths.Profile at 0x7f0fa6003370>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figure = plt.figure(figsize=(8, 8))\n",
    "\n",
    "tephigram = Tephigram(figure=figure)\n",
    "profile = tephigram.plot(dewpoint, label=\"Dew Point Temperature\", color=\"blue\")\n",
    "profile.barbs(barbs)\n",
    "tephigram.plot(drybulb, label=\"Dry Bulb Temperature\", color=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that, you can easily associated the sample **wind barb** data with the **dry bulb temperature** data instead... "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = plt.figure(figsize=(8, 8))\n",
    "\n",
    "tephigram = Tephigram(figure=figure)\n",
    "tephigram.plot(dewpoint, label=\"Dew Point Temperature\", color=\"blue\")\n",
    "profile = tephigram.plot(drybulb, label=\"Dry Bulb Temperature\", color=\"red\")\n",
    "profile.barbs(barbs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Anchoring a `tephi` plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, `tephi` will automatically center the plot around all rendered temperature profiles. This behaviour may not be desirable, particularly when comparing several separate tephigram plots against one another e.g., for a time-series for a specific observation point-of-interest.\n",
    "\n",
    "To fix the extent of a plot, simply specify an `anchor` point to `tephi`. \n",
    "\n",
    "An `anchor` point is a sequence of two `(pressure, temperature)` pairs that specify the **bottom left-hand corner** and the **top right-hand corner** of the plot. The pressure data points must be in units of mb or hPa, and the temperature data points must be in units of <sup>o</sup>C, e.g.,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anchor = [(1000, 0), (300, 0)]\n",
    "\n",
    "figure = plt.figure(figsize=(8, 8))\n",
    "\n",
    "tephigram = Tephigram(figure=figure, anchor=anchor)\n",
    "tephigram.plot(dewpoint, label=\"Dew Point Temperature\", color=\"blue\")\n",
    "profile = tephigram.plot(drybulb, label=\"Dry Bulb Temperature\", color=\"red\")\n",
    "profile.barbs(barbs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}