Cap06-06-Criando Graficos com Matplotlib e SQLite.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='blue'>Python Fundamentos - Capítulo 6</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Versão da Linguagem Python Usada Neste Jupyter Notebook: 3.7.6\n"
     ]
    }
   ],
   "source": [
    "# Versão da Linguagem Python\n",
    "from platform import python_version\n",
    "print('Versão da Linguagem Python Usada Neste Jupyter Notebook:', python_version())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gráficos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instala a versão exata do pacote matplotlib\n",
    "!pip install -q -U matplotlib==3.2.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.2.1'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib as mat\n",
    "mat.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import random\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook\n",
    " \n",
    "# Criando uma conexão\n",
    "conn = sqlite3.connect('dsa.db')   \n",
    "\n",
    "# Criando um cursor\n",
    "c = conn.cursor()\n",
    " \n",
    "# Função para criar uma tabela\n",
    "def create_table():\n",
    "    c.execute('CREATE TABLE IF NOT EXISTS produtos(id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL, date TEXT, '\\\n",
    "              'prod_name TEXT, valor REAL)')\n",
    "     \n",
    "# Função para inserir uma linha\n",
    "def data_insert():\n",
    "    c.execute(\"INSERT INTO produtos VALUES(now, 'Teclado', 130 )\")\n",
    "    conn.commit()\n",
    "    c.close()\n",
    "    conn.close()\n",
    "    \n",
    "# Usando variáveis para inserir dados    \n",
    "def data_insert_var():\n",
    "    new_date = datetime.datetime.now()\n",
    "    new_prod_name = 'monitor'\n",
    "    new_valor = random.randrange(50,100)\n",
    "    c.execute(\"INSERT INTO produtos (date, prod_name, valor) VALUES (?, ?, ?, ?)\", \n",
    "              (new_date, new_prod_name, new_valor))\n",
    "    conn.commit()\n",
    "    \n",
    "# Leitura de dados\n",
    "def leitura_todos_dados():\n",
    "    c.execute(\"SELECT * FROM PRODUTOS\")\n",
    "    for linha in c.fetchall():\n",
    "        print(linha)\n",
    "        \n",
    "# Leitura de registros específicos\n",
    "def leitura_registros():\n",
    "    c.execute(\"SELECT * FROM PRODUTOS WHERE valor > 60.0\")\n",
    "    for linha in c.fetchall():\n",
    "        print(linha)      \n",
    "        \n",
    "# Leitura de colunas específicos\n",
    "def leitura_colunas():\n",
    "    c.execute(\"SELECT * FROM PRODUTOS\")\n",
    "    for linha in c.fetchall():\n",
    "        print(linha[3])  \n",
    "        \n",
    "# Update\n",
    "def atualiza_dados():\n",
    "    c.execute(\"UPDATE produtos SET valor = 70.00 WHERE valor > 80.0\")\n",
    "    conn.commit()\n",
    "    \n",
    "# Delete\n",
    "def remove_dados():\n",
    "    c.execute(\"DELETE FROM produtos WHERE valor = 62.0\")\n",
    "    conn.commit()\n",
    "\n",
    "# Gerar gráfico com os dados no banco de dados\n",
    "def dados_grafico():\n",
    "    c.execute(\"SELECT id, valor FROM produtos\")\n",
    "    ids = []\n",
    "    valores = []\n",
    "    dados = c.fetchall()\n",
    "    for linha in dados:\n",
    "        ids.append(linha[0])\n",
    "        valores.append(linha[1])\n",
    "        \n",
    "    plt.bar(ids, valores)\n",
    "    plt.show()"
   ]
  },
  {
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gerando gráficos\n",
    "dados_grafico()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}