uw-ztf-database-demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example of how to access the ZTF database on Epyc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We capture the nightly ZTF data stream and store it into a database named `ztf` on `epyc.astro.washington.edu` machine. They're all collected in a single table named `alerts`.\n",
    "\n",
    "Note: this is still a work in progress and more columns will be added in near future.\n",
    "\n",
    "This notebook gives you a brief demo of how to access the data. The database is on `epyc.astro.washington.edu` and can only be connected to from that machine. It's easiest to use epyc's JupyterHub instance (https://epyc.astro.washington.edu/jupyter) to start notebooks on eypc.\n",
    "\n",
    "Note: You can find the Jupyter notebook source file on `epyc` at: `/epyc/users/zgolkhou/uw-ztf-database-demo.ipynb`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import mysql.connector as mariadb\n",
    "from astropy.time import Time\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:90% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:90% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('float_format', '{:f}'.format)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Connecting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Connect to the database using the user `ztf`. There's no password. You *must* do this from epyc (the database is inaccessible outside epyc)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "con = mariadb.connect(user='ztf', database='ztf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After that, it's easiest to use Pandas to execute queries. Below are some examples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sample 10 rows from the table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 203 ms, sys: 64.2 ms, total: 267 ms\n",
      "Wall time: 290 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "df = pd.read_sql_query('select * from alerts LIMIT 10', con)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The descriptions of these columns can be found at https://zwickytransientfacility.github.io/ztf-avro-alert/schema.html."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Histogram the number of objects with `nobs` repeated observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6min 57s, sys: 1min 7s, total: 8min 5s\n",
      "Wall time: 59min 43s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "df = pd.read_sql_query('select count(*) as nobs from alerts GROUP BY objectId', con)"
   ]
  },
  {
   "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 11.6 s, sys: 5.68 s, total: 17.3 s\n",
      "Wall time: 3.27 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f99cd828160>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "df.groupby('nobs')[['nobs']].count().plot(kind='bar',logy=True, legend=False,fontsize=10, grid=False,\\\n",
    "                                          figsize=(16,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '# of alerts [$>= N_{obs}$]')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csum = df.groupby('nobs')[['nobs']].count()\n",
    "xax = csum.index\n",
    "#from numpy import array, cumsum\n",
    "plt.figure(2)\n",
    "plt.semilogy(xax[::-1],np.cumsum(np.array(csum[::-1])),'rs',ms=2)\n",
    "plt.xlabel('# of observations [: $N_{obs}$]')\n",
    "plt.ylabel(r'# of alerts [$>= N_{obs}$]')\n",
    "#plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Time series of an object with a large number of observations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, get all objects with more than 300 observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 22 s, sys: 2.39 s, total: 24.4 s\n",
      "Wall time: 55min 48s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "interesting = pd.read_sql_query('select objectId, count(*) as nobs from alerts GROUP BY objectId HAVING nobs >= 10', con)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1272447"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(interesting)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       ZTF17aaaaako\n",
       "1       ZTF17aaaaaly\n",
       "2       ZTF17aaaaamg\n",
       "3       ZTF17aaaaasi\n",
       "4       ZTF17aaaaast\n",
       "5       ZTF17aaaaaui\n",
       "6       ZTF17aaaaavq\n",
       "7       ZTF17aaaaavx\n",
       "8       ZTF17aaaaawv\n",
       "9       ZTF17aaaaawz\n",
       "10      ZTF17aaaaaxh\n",
       "11      ZTF17aaaaaxu\n",
       "12      ZTF17aaaadxl\n",
       "13      ZTF17aaaadxz\n",
       "14      ZTF17aaaafdh\n",
       "15      ZTF17aaaafdm\n",
       "16      ZTF17aaaajez\n",
       "17      ZTF17aaaajfn\n",
       "18      ZTF17aaaajgo\n",
       "19      ZTF17aaaajhl\n",
       "20      ZTF17aaaajio\n",
       "21      ZTF17aaaajip\n",
       "22      ZTF17aaaajir\n",
       "23      ZTF17aaaajix\n",
       "24      ZTF17aaaajjv\n",
       "25      ZTF17aaaajjx\n",
       "26      ZTF17aaaajki\n",
       "27      ZTF17aaaajkj\n",
       "28      ZTF17aaaajoz\n",
       "29      ZTF17aaaajpa\n",
       "            ...     \n",
       "2928    ZTF18acrveax\n",
       "2929    ZTF18acrvejj\n",
       "2930    ZTF18acrvejk\n",
       "2931    ZTF18acrvelr\n",
       "2932    ZTF18acrvels\n",
       "2933    ZTF18acrvelt\n",
       "2934    ZTF18acrveme\n",
       "2935    ZTF18acrvenu\n",
       "2936    ZTF18acrveuk\n",
       "2937    ZTF18acrvfbd\n",
       "2938    ZTF18acrvfbg\n",
       "2939    ZTF18acrvfgx\n",
       "2940    ZTF18acrvfmv\n",
       "2941    ZTF18actbmen\n",
       "2942    ZTF18actbncj\n",
       "2943    ZTF18actbnkm\n",
       "2944    ZTF18actbypl\n",
       "2945    ZTF18actxrvo\n",
       "2946    ZTF18acuxpjm\n",
       "2947    ZTF18acuxrnn\n",
       "2948    ZTF18acuxzaw\n",
       "2949    ZTF18acveouz\n",
       "2950    ZTF18acwwcqk\n",
       "2951    ZTF18acwwddk\n",
       "2952    ZTF18acytgxr\n",
       "2953    ZTF18acyuqkw\n",
       "2954    ZTF18acyurvo\n",
       "2955    ZTF18acyuscm\n",
       "2956    ZTF18aczclnu\n",
       "2957    ZTF18aczedkg\n",
       "Name: objectId, Length: 2958, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interesting.objectId"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This function retrieves a light curve from the `alerts` table and the associated upper-limits from the `alerts_limmag` table using objectId."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def retrieve_lc_limmag(objectName):\n",
    "    \n",
    "    dflc = pd.read_sql_query(\"SELECT objectId, jd, magpsf, sigmapsf, diffmaglim ,ra, decl, fid, \\\n",
    "    classtar, rb, candid FROM alerts where objectId='{}' ORDER BY jd\".format(objectName), con=con)\n",
    "    \n",
    "    dflm = pd.read_sql_query(\"SELECT objectId, jd, diffmaglim, fid FROM alerts_limmag where objectId='{}' \\\n",
    "    ORDER BY jd\".format(objectName), con=con)\n",
    "    \n",
    "    return dflc, dflm  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_lightcurve(dflc,dflm, days_ago=True):\n",
    "    \n",
    "    filter_color = {1:'green', 2:'red', 3:'pink'}\n",
    "    if days_ago:\n",
    "        now = Time.now().jd\n",
    "        tc = dflc.jd - now\n",
    "        tm = dflm.jd - now\n",
    "        xlabel = 'Days Ago'\n",
    "    else:\n",
    "        tc = dflc.jd\n",
    "        tm = dflm.jd\n",
    "        xlabel = 'Time (JD)'\n",
    "    \n",
    "    plt.figure()\n",
    "    for fid, color in filter_color.items():\n",
    "        \n",
    "        # plotting detections\n",
    "        v = (dflc.fid == fid)\n",
    "        if np.sum(v):\n",
    "            plt.errorbar(tc[v],dflc.loc[v,'magpsf'], dflc.loc[v,'sigmapsf'],fmt='.',color=color,alpha=0.5)\n",
    "            \n",
    "        # plotting upper-limits from the prv_candidate\n",
    "        w = (dflm.fid == fid)\n",
    "        if np.sum(w):\n",
    "            plt.scatter(tm[w],dflm.loc[w,'diffmaglim'], marker='v',color=color,alpha=0.25)\n",
    "    \n",
    "    plt.gca().invert_yaxis()\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel('Magnitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A few objectId's to play with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 78.4 ms, sys: 3.92 ms, total: 82.3 ms\n",
      "Wall time: 781 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "#objId  = 'ZTF18aaavxvj'\n",
    "objId  = 'ZTF18aagrhhl'\n",
    "#objId = 'ZTF18aarqyuk'\n",
    "#objId = 'ZTF18aaqjtcz'\n",
    "lc, limmag = retrieve_lc_limmag(objId)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>objectId</th>\n",
       "      <th>jd</th>\n",
       "      <th>magpsf</th>\n",
       "      <th>sigmapsf</th>\n",
       "      <th>diffmaglim</th>\n",
       "      <th>ra</th>\n",
       "      <th>decl</th>\n",
       "      <th>fid</th>\n",
       "      <th>classtar</th>\n",
       "      <th>rb</th>\n",
       "      <th>candid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458216.885394</td>\n",
       "      <td>18.162000</td>\n",
       "      <td>0.044868</td>\n",
       "      <td>20.245000</td>\n",
       "      <td>247.586783</td>\n",
       "      <td>36.832068</td>\n",
       "      <td>2</td>\n",
       "      <td>0.672000</td>\n",
       "      <td>0.513333</td>\n",
       "      <td>462385396115010001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458216.910474</td>\n",
       "      <td>18.088500</td>\n",
       "      <td>0.042837</td>\n",
       "      <td>19.825600</td>\n",
       "      <td>247.586795</td>\n",
       "      <td>36.831941</td>\n",
       "      <td>2</td>\n",
       "      <td>0.969000</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>462410476115010002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458216.910474</td>\n",
       "      <td>18.088500</td>\n",
       "      <td>0.042837</td>\n",
       "      <td>19.825600</td>\n",
       "      <td>247.586769</td>\n",
       "      <td>36.831890</td>\n",
       "      <td>2</td>\n",
       "      <td>0.777000</td>\n",
       "      <td>0.376667</td>\n",
       "      <td>462410476115010003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458219.884225</td>\n",
       "      <td>18.596100</td>\n",
       "      <td>0.056672</td>\n",
       "      <td>20.547400</td>\n",
       "      <td>247.586762</td>\n",
       "      <td>36.832065</td>\n",
       "      <td>2</td>\n",
       "      <td>0.999000</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>465384224815010001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458219.905116</td>\n",
       "      <td>18.356500</td>\n",
       "      <td>0.047248</td>\n",
       "      <td>20.335000</td>\n",
       "      <td>247.586845</td>\n",
       "      <td>36.831983</td>\n",
       "      <td>2</td>\n",
       "      <td>0.996000</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>465405114815010001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       objectId             jd    magpsf  sigmapsf  diffmaglim         ra  \\\n",
       "0  ZTF18aagrhhl 2458216.885394 18.162000  0.044868   20.245000 247.586783   \n",
       "1  ZTF18aagrhhl 2458216.910474 18.088500  0.042837   19.825600 247.586795   \n",
       "2  ZTF18aagrhhl 2458216.910474 18.088500  0.042837   19.825600 247.586769   \n",
       "3  ZTF18aagrhhl 2458219.884225 18.596100  0.056672   20.547400 247.586762   \n",
       "4  ZTF18aagrhhl 2458219.905116 18.356500  0.047248   20.335000 247.586845   \n",
       "\n",
       "       decl  fid  classtar       rb              candid  \n",
       "0 36.832068    2  0.672000 0.513333  462385396115010001  \n",
       "1 36.831941    2  0.969000 0.370000  462410476115010002  \n",
       "2 36.831890    2  0.777000 0.376667  462410476115010003  \n",
       "3 36.832065    2  0.999000 0.533333  465384224815010001  \n",
       "4 36.831983    2  0.996000 0.430000  465405114815010001  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>objectId</th>\n",
       "      <th>jd</th>\n",
       "      <th>diffmaglim</th>\n",
       "      <th>fid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458197.957500</td>\n",
       "      <td>20.921700</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458198.893194</td>\n",
       "      <td>20.231500</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458198.893657</td>\n",
       "      <td>20.147000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458198.899074</td>\n",
       "      <td>20.358700</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZTF18aagrhhl</td>\n",
       "      <td>2458198.933681</td>\n",
       "      <td>20.408700</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       objectId             jd  diffmaglim  fid\n",
       "0  ZTF18aagrhhl 2458197.957500   20.921700    2\n",
       "1  ZTF18aagrhhl 2458198.893194   20.231500    2\n",
       "2  ZTF18aagrhhl 2458198.893657   20.147000    2\n",
       "3  ZTF18aagrhhl 2458198.899074   20.358700    2\n",
       "4  ZTF18aagrhhl 2458198.933681   20.408700    2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "limmag.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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",
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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",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot_lightcurve(dflc=lc)\n",
    "#dflc, dflm = retrieve_limmag('ZTF18aabejqj')\n",
    "plot_lightcurve(lc,limmag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the astrometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'dec variation [arcsec]')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(4)\n",
    "\n",
    "plt.plot((lc.ra - (lc.ra.mean()))*3600, (lc.decl - (lc.decl.mean()))*3600,'bo',ms=2)\n",
    "\n",
    "plt.xlabel('ra variation [arcsec]')\n",
    "plt.ylabel('dec variation [arcsec]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sanity checks\n",
    "\n",
    "Note: `the length of unique candid` should be ``=`` `length of dataframe` (: table rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_sql_query('select objectid, candid from alerts', con)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130290789"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.candid.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130290832"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "43091778"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.objectid.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "311316"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "119589542 - 119278226 #- 119278183"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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