Dominando Pandas - Parte 02.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dominando o Pandas: A Biblioteca preferida entre os Cientistas de Dados (Parte 2)\n",
    "www.minerandodados.com.br\n",
    "\"Aprenda Data Science e Alavanque sua Carreira :) \""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset = pd.read_csv('/home/rodrigo/scripts/minerandodados/kc_house_data.csv', sep=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
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       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
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       "    if (!this.waiting) {\n",
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       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
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       "    fig.ondownload(fig, format);\n",
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       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
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       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
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       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
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       "\n",
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       "\n",
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       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
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       "\n",
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       "    var cursor = msg['cursor'];\n",
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       "        cursor = 'pointer';\n",
       "        break;\n",
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       "        cursor = 'default';\n",
       "        break;\n",
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       "        cursor = 'crosshair';\n",
       "        break;\n",
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       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
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       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
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       "    fig.image_mode = msg['mode'];\n",
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       "    // Called whenever the canvas gets updated.\n",
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       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
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       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
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       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7faec82d86a0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "dataset['price'].hist(bins=30, color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"880\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f4b7440c588>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f4b740cf7f0>]], dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "dataset[['bedrooms','bathrooms']].hist(bins=30,alpha=0.5,color='Green')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Estatistica Descritiva**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.3709102688694523"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33.0"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9300844679399579"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.9744391609000942"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].skew()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                0.243329\n",
       "price             4.024069\n",
       "bedrooms          1.974439\n",
       "bathrooms         0.511108\n",
       "sqft_living       1.471555\n",
       "sqft_lot         13.060019\n",
       "floors            0.616107\n",
       "waterfront       11.385108\n",
       "view              3.395750\n",
       "condition         1.032805\n",
       "grade             0.771103\n",
       "sqft_above        1.446664\n",
       "sqft_basement     1.577965\n",
       "yr_built         -0.469805\n",
       "yr_renovated      4.549493\n",
       "zipcode           0.405661\n",
       "lat              -0.485270\n",
       "long              0.885053\n",
       "sqft_living15     1.108181\n",
       "sqft_lot15        9.506743\n",
       "dtype: float64"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.skew()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    21609.000000\n",
       "mean         3.370910\n",
       "std          0.930084\n",
       "min          0.000000\n",
       "25%          3.000000\n",
       "50%          3.000000\n",
       "75%          4.000000\n",
       "max         33.000000\n",
       "Name: bedrooms, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['bedrooms'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Extraindo Insights**"
   ]
  },
  {
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"638.888905813665\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f43757b2518>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "matplotlib.style.use('ggplot')\n",
    "dataset.boxplot(column='bedrooms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['seaborn-darkgrid',\n",
       " 'seaborn-pastel',\n",
       " 'fivethirtyeight',\n",
       " '_classic_test',\n",
       " 'bmh',\n",
       " 'seaborn-colorblind',\n",
       " 'grayscale',\n",
       " 'seaborn-notebook',\n",
       " 'ggplot',\n",
       " 'seaborn-poster',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-whitegrid',\n",
       " 'classic',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-muted',\n",
       " 'seaborn',\n",
       " 'dark_background',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-white',\n",
       " 'seaborn-talk',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-dark']"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"887.777801295858\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4375dd8d30>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "dataset.boxplot(column='price', by='bedrooms')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Correlação **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset.corr('spearman')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>grade</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.515929</td>\n",
       "      <td>0.576679</td>\n",
       "      <td>0.175440</td>\n",
       "      <td>-0.006589</td>\n",
       "      <td>0.356972</td>\n",
       "      <td>0.308321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0.515929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.754665</td>\n",
       "      <td>0.500626</td>\n",
       "      <td>0.063744</td>\n",
       "      <td>0.664983</td>\n",
       "      <td>0.525138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living</th>\n",
       "      <td>0.576679</td>\n",
       "      <td>0.754665</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.353922</td>\n",
       "      <td>0.103818</td>\n",
       "      <td>0.762704</td>\n",
       "      <td>0.702035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floors</th>\n",
       "      <td>0.175440</td>\n",
       "      <td>0.500626</td>\n",
       "      <td>0.353922</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.023695</td>\n",
       "      <td>0.458171</td>\n",
       "      <td>0.256791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waterfront</th>\n",
       "      <td>-0.006589</td>\n",
       "      <td>0.063744</td>\n",
       "      <td>0.103818</td>\n",
       "      <td>0.023695</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.082775</td>\n",
       "      <td>0.266369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <td>0.356972</td>\n",
       "      <td>0.664983</td>\n",
       "      <td>0.762704</td>\n",
       "      <td>0.458171</td>\n",
       "      <td>0.082775</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.667434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0.308321</td>\n",
       "      <td>0.525138</td>\n",
       "      <td>0.702035</td>\n",
       "      <td>0.256791</td>\n",
       "      <td>0.266369</td>\n",
       "      <td>0.667434</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             bedrooms  bathrooms  sqft_living    floors  waterfront     grade  \\\n",
       "bedrooms     1.000000   0.515929     0.576679  0.175440   -0.006589  0.356972   \n",
       "bathrooms    0.515929   1.000000     0.754665  0.500626    0.063744  0.664983   \n",
       "sqft_living  0.576679   0.754665     1.000000  0.353922    0.103818  0.762704   \n",
       "floors       0.175440   0.500626     0.353922  1.000000    0.023695  0.458171   \n",
       "waterfront  -0.006589   0.063744     0.103818  0.023695    1.000000  0.082775   \n",
       "grade        0.356972   0.664983     0.762704  0.458171    0.082775  1.000000   \n",
       "price        0.308321   0.525138     0.702035  0.256791    0.266369  0.667434   \n",
       "\n",
       "                price  \n",
       "bedrooms     0.308321  \n",
       "bathrooms    0.525138  \n",
       "sqft_living  0.702035  \n",
       "floors       0.256791  \n",
       "waterfront   0.266369  \n",
       "grade        0.667434  \n",
       "price        1.000000  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[['bedrooms','bathrooms','sqft_living','floors','waterfront','grade','price']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0e46d36ef0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "dataset[['sqft_living','waterfront','grade','price']].corr().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
       "      <td>20141013T000000</td>\n",
       "      <td>221900.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>538000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5631500400</td>\n",
       "      <td>20150225T000000</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>20150218T000000</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id             date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520  20141013T000000  221900.0       3.0       1.00         1180   \n",
       "1  6414100192  20141209T000000  538000.0       3.0       2.25         2570   \n",
       "2  5631500400  20150225T000000  180000.0       2.0       1.00          770   \n",
       "3  2487200875  20141209T000000  604000.0       4.0       3.00         1960   \n",
       "4  1954400510  20150218T000000  510000.0       3.0       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view     ...      grade  sqft_above  \\\n",
       "0      5650     1.0           0     0     ...          7        1180   \n",
       "1      7242     2.0           0     0     ...          7        2170   \n",
       "2     10000     1.0           0     0     ...          6         770   \n",
       "3      5000     1.0           0     0     ...          7        1050   \n",
       "4      8080     1.0           0     0     ...          8        1680   \n",
       "\n",
       "   sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "0              0      1955             0    98178  47.5112 -122.257   \n",
       "1            400      1951          1991    98125  47.7210 -122.319   \n",
       "2              0      1933             0    98028  47.7379 -122.233   \n",
       "3            910      1965             0    98136  47.5208 -122.393   \n",
       "4              0      1987             0    98074  47.6168 -122.045   \n",
       "\n",
       "   sqft_living15  sqft_lot15  \n",
       "0           1340        5650  \n",
       "1           1690        7639  \n",
       "2           2720        8062  \n",
       "3           1360        5000  \n",
       "4           1800        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Tabelas Pivot**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waterfront</th>\n",
       "      <th>floors</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">0</th>\n",
       "      <th>1.0</th>\n",
       "      <td>10622.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.5</th>\n",
       "      <td>1889.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>8166.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.5</th>\n",
       "      <td>159.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>605.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.5</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th>1.0</th>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.5</th>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.5</th>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <th></th>\n",
       "      <td>21612.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        id\n",
       "waterfront floors         \n",
       "0          1.0     10622.0\n",
       "           1.5      1889.0\n",
       "           2.0      8166.0\n",
       "           2.5       159.0\n",
       "           3.0       605.0\n",
       "           3.5         8.0\n",
       "1          1.0        57.0\n",
       "           1.5        21.0\n",
       "           2.0        75.0\n",
       "           2.5         2.0\n",
       "           3.0         8.0\n",
       "All                21612.0"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.pivot_table('id',index=[\"waterfront\",\"floors\"],aggfunc='count',margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Crosstab**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>condition</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>124</td>\n",
       "      <td>48</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>1779</td>\n",
       "      <td>717</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>8</td>\n",
       "      <td>69</td>\n",
       "      <td>6306</td>\n",
       "      <td>2711</td>\n",
       "      <td>728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>4</td>\n",
       "      <td>36</td>\n",
       "      <td>4579</td>\n",
       "      <td>1682</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1031</td>\n",
       "      <td>418</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>158</td>\n",
       "      <td>87</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33.0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "condition   1   2     3     4    5\n",
       "bedrooms                          \n",
       "0.0         1   1    10     1    0\n",
       "1.0         4  11   124    48   12\n",
       "2.0        12  51  1779   717  200\n",
       "3.0         8  69  6306  2711  728\n",
       "4.0         4  36  4579  1682  580\n",
       "5.0         0   1  1031   418  151\n",
       "6.0         1   3   158    87   23\n",
       "7.0         0   0    25     9    4\n",
       "8.0         0   0     8     3    2\n",
       "9.0         0   0     6     0    0\n",
       "10.0        0   0     1     2    0\n",
       "11.0        0   0     1     0    0\n",
       "33.0        0   0     0     0    1"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(dataset['bedrooms'],dataset['condition'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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",
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       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
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       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0e09e41278>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table = pd.crosstab(dataset['bedrooms'],dataset['condition'])\n",
    "table.plot(kind='bar',width=1.0, color=['red','yellow','orange','blue','green'], title='Condition by Bedrooms' ,grid=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Trabalhando com Excel **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataframe_excel = pd.read_excel('/home/rodrigo/Downloads/Controle-de-Atividades-2.0.xlsx', sheetname=0,header=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>N°</th>\n",
       "      <th>Atividade</th>\n",
       "      <th>Responsável</th>\n",
       "      <th>Estado Atual</th>\n",
       "      <th>Início</th>\n",
       "      <th>Previsão</th>\n",
       "      <th>Término</th>\n",
       "      <th>Duração Prev.</th>\n",
       "      <th>Duração Real</th>\n",
       "      <th>SITUAÇÃO</th>\n",
       "      <th>Unnamed: 10</th>\n",
       "      <th>Unnamed: 11</th>\n",
       "      <th>Unnamed: 12</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
       "      <th>Unnamed: 15</th>\n",
       "      <th>Unnamed: 16</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "      <th>Unnamed: 18</th>\n",
       "      <th>Unnamed: 19</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Elaborar relatório de vendas</td>\n",
       "      <td>Antonio</td>\n",
       "      <td>ENCERRADA</td>\n",
       "      <td>2015-03-01 12:20:00</td>\n",
       "      <td>2015-03-01 18:30:00</td>\n",
       "      <td>2015-03-05 07:30:00</td>\n",
       "      <td>06:10:00</td>\n",
       "      <td>1900-01-03 19:10:00</td>\n",
       "      <td>ATRASADA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Encerrar Balanço</td>\n",
       "      <td>Antonio</td>\n",
       "      <td>INICIADA</td>\n",
       "      <td>2015-03-01 07:00:00</td>\n",
       "      <td>2015-03-08 09:00:00</td>\n",
       "      <td>2015-03-08 09:00:00</td>\n",
       "      <td>1900-01-07 02:00:00</td>\n",
       "      <td>1900-01-07 02:00:00</td>\n",
       "      <td>EM DIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Preparar novo Plano de Contas</td>\n",
       "      <td>Pedro</td>\n",
       "      <td>ADIADA</td>\n",
       "      <td>2015-03-01 00:00:00</td>\n",
       "      <td>2015-03-20 00:00:00</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1900-01-19 00:00:00</td>\n",
       "      <td>NaT</td>\n",
       "      <td>ADIANTADA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>INICIADA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADIADA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    N°                      Atividade Responsável Estado Atual  \\\n",
       "0  NaN                            NaN         NaN          NaN   \n",
       "1  1.0   Elaborar relatório de vendas     Antonio    ENCERRADA   \n",
       "2  2.0               Encerrar Balanço     Antonio     INICIADA   \n",
       "3  3.0  Preparar novo Plano de Contas       Pedro       ADIADA   \n",
       "4  NaN                            NaN         NaN          NaN   \n",
       "\n",
       "               Início            Previsão             Término  \\\n",
       "0                 NaT                 NaT                 NaT   \n",
       "1 2015-03-01 12:20:00 2015-03-01 18:30:00 2015-03-05 07:30:00   \n",
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      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe_excel.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "file = '/home/rodrigo/Downloads/Controle-de-Atividades-2.0.xlsx'\n",
    "dataframe_excel = pd.read_excel(file, sheetname=0, header=1, index_col=3)"
   ]
  },
  {
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   "execution_count": 40,
   "metadata": {},
   "outputs": [
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       "               N°                       Atividade Responsável  \\\n",
       "Estado Atual                                                    \n",
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       "\n",
       "                          Início            Previsão             Término  \\\n",
       "Estado Atual                                                               \n",
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       "\n",
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       "Estado Atual                                                                    \n",
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       "\n",
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       "Estado Atual                                                                    \n",
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       "Estado Atual                                                     \n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EM DIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ATRASADA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               N°                       Atividade Responsável  \\\n",
       "Estado Atual                                                    \n",
       "ADIADA        3.0   Preparar novo Plano de Contas       Pedro   \n",
       "ENCERRADA     1.0    Elaborar relatório de vendas     Antonio   \n",
       "ENCERRADA     4.0  Preparar reunião de resultados      Márcia   \n",
       "INICIADA      2.0                Encerrar Balanço     Antonio   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "NaN           NaN                             NaN         NaN   \n",
       "\n",
       "                          Início            Previsão             Término  \\\n",
       "Estado Atual                                                               \n",
       "ADIADA       2015-03-01 00:00:00 2015-03-20 00:00:00                 NaT   \n",
       "ENCERRADA    2015-03-01 12:20:00 2015-03-01 18:30:00 2015-03-05 07:30:00   \n",
       "ENCERRADA    2015-03-02 00:00:00 2015-03-10 00:00:00                 NaT   \n",
       "INICIADA     2015-03-01 07:00:00 2015-03-08 09:00:00 2015-03-08 09:00:00   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "NaN                          NaT                 NaT                 NaT   \n",
       "\n",
       "                    Duração Prev.        Duração Real   SITUAÇÃO  Unnamed: 10  \\\n",
       "Estado Atual                                                                    \n",
       "ADIADA        1900-01-19 00:00:00                 NaT  ADIANTADA          NaN   \n",
       "ENCERRADA                06:10:00 1900-01-03 19:10:00   ATRASADA          NaN   \n",
       "ENCERRADA     1900-01-08 00:00:00                 NaT  ADIANTADA          NaN   \n",
       "INICIADA      1900-01-07 02:00:00 1900-01-07 02:00:00     EM DIA          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "NaN                           NaN                 NaT        NaN          NaN   \n",
       "\n",
       "              Unnamed: 11  Unnamed: 12  Unnamed: 13  Unnamed: 14  Unnamed: 15  \\\n",
       "Estado Atual                                                                    \n",
       "ADIADA                NaN          NaN          NaN          NaN          NaN   \n",
       "ENCERRADA             NaN          NaN          NaN          NaN          NaN   \n",
       "ENCERRADA             NaN          NaN          NaN          NaN          NaN   \n",
       "INICIADA              NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
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       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
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       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
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       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
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       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "NaN                   NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "              Unnamed: 16  Unnamed: 17  Unnamed: 18 Unnamed: 19  \n",
       "Estado Atual                                                     \n",
       "ADIADA                NaN          NaN          NaN    INICIADA  \n",
       "ENCERRADA             NaN          NaN          NaN         NaN  \n",
       "ENCERRADA             NaN          NaN          NaN      ADIADA  \n",
       "INICIADA              NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN    SUSPENSA  \n",
       "NaN                   NaN          NaN          NaN   ENCERRADA  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN   ADIANTADA  \n",
       "NaN                   NaN          NaN          NaN      EM DIA  \n",
       "NaN                   NaN          NaN          NaN    ATRASADA  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  \n",
       "NaN                   NaN          NaN          NaN         NaN  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe_excel.sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Gerando Planilhas **\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>id</th>\n",
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       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
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       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>5000</td>\n",
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       "      <td>20150218T000000</td>\n",
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       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id             date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520  20141013T000000  221900.0       3.0       1.00         1180   \n",
       "1  6414100192  20141209T000000  538000.0       3.0       2.25         2570   \n",
       "2  5631500400  20150225T000000  180000.0       2.0       1.00          770   \n",
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       "4  1954400510  20150218T000000  510000.0       3.0       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view     ...      grade  sqft_above  \\\n",
       "0      5650     1.0           0     0     ...          7        1180   \n",
       "1      7242     2.0           0     0     ...          7        2170   \n",
       "2     10000     1.0           0     0     ...          6         770   \n",
       "3      5000     1.0           0     0     ...          7        1050   \n",
       "4      8080     1.0           0     0     ...          8        1680   \n",
       "\n",
       "   sqft_basement  yr_built  yr_renovated  zipcode      lat     long  \\\n",
       "0              0      1955             0    98178  47.5112 -122.257   \n",
       "1            400      1951          1991    98125  47.7210 -122.319   \n",
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       "3            910      1965             0    98136  47.5208 -122.393   \n",
       "4              0      1987             0    98074  47.6168 -122.045   \n",
       "\n",
       "   sqft_living15  sqft_lot15  \n",
       "0           1340        5650  \n",
       "1           1690        7639  \n",
       "2           2720        8062  \n",
       "3           1360        5000  \n",
       "4           1800        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           id     price  bedrooms  bathrooms  sqft_living  floors  waterfront\n",
       "0  7129300520  221900.0       3.0       1.00         1180     1.0           0\n",
       "1  6414100192  538000.0       3.0       2.25         2570     2.0           0\n",
       "2  5631500400  180000.0       2.0       1.00          770     1.0           0\n",
       "3  2487200875  604000.0       4.0       3.00         1960     1.0           0\n",
       "4  1954400510  510000.0       3.0       2.00         1680     1.0           0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colunas = ['id','price','bedrooms','bathrooms','sqft_living','floors','waterfront']\n",
    "dataset[colunas].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataset[colunas].to_excel('planilha_pandas.xls',index=False)"
   ]
  }
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