Ep4_Graficos_Financeiros.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Tutorial 3 - Python para investimentos | Graficos Financeiros.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fcMiNubNhPST"
      },
      "source": [
        "**Pré-tutorial**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7QN09YavfJ5k"
      },
      "source": [
        "!pip install yfinance"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VDoBUERXg1Oj"
      },
      "source": [
        "import yfinance as yf\n",
        "import pandas as pd\n",
        "table = pd.read_html('https://en.wikipedia.org/wiki/List_of_S%26P_500_companies')\n",
        "df = table[0]\n",
        "\n",
        "tickers = ' '.join(df['Symbol'].to_list())\n",
        "data = yf.download(tickers,'2019-01-01','2019-12-31',group_by = 'ticker')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FhPdxKMChhgX"
      },
      "source": [
        "Tutorial"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pRuiQRV4hfQn"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xC6LURfAisA9"
      },
      "source": [
        "x = np.array([1,2,3,4,5,6,7,10])\n",
        "y = x**2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_jV4JIcYi3A7"
      },
      "source": [
        "fig,ax = plt.subplots()\n",
        "ax.plot(x,y)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D7vM95QXjhws"
      },
      "source": [
        "fig = plt.figure()\n",
        "ax = fig.add_subplot(1,1,1)\n",
        "ax.plot(x,y)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ISSI74g0j-uU",
        "outputId": "80bb3d99-2c3b-4b66-afa1-34d6f93cf743",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#print(fig.axes)\n",
        "#print(ax.figure)\n",
        "ax.xaxis\n",
        "ax.yaxis\n",
        "ax.xaxis.axes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f75fff45eb8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E6izf6Phlcwm"
      },
      "source": [
        "data_MSFT = data.MSFT['Adj Close']\n",
        "data_APPL = data.AAPL['Adj Close']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3rLrjcFfln-d",
        "outputId": "62fe43ef-26c8-417b-dce1-2b5f06255dcd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        }
      },
      "source": [
        "fig = plt.figure()\n",
        "ax = fig.add_subplot(1,1,1)\n",
        "print(ax.lines)\n",
        "line1 = ax.plot(data_MSFT,label='MSFT')\n",
        "print(ax.lines)\n",
        "line2 = ax.plot(data_APPL,label='AAPL')\n",
        "print(ax.lines)\n",
        "\n",
        "ax.legend()\n",
        "\n",
        "print(line1)\n",
        "print(line2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[]\n",
            "[<matplotlib.lines.Line2D object at 0x7f75ffb71978>]\n",
            "[<matplotlib.lines.Line2D object at 0x7f75ffb71978>, <matplotlib.lines.Line2D object at 0x7f75ffb55fd0>]\n",
            "[<matplotlib.lines.Line2D object at 0x7f75ffb71978>]\n",
            "[<matplotlib.lines.Line2D object at 0x7f75ffb55fd0>]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GfGc2k3wmq7D",
        "outputId": "95a22f72-1f1a-48f2-9f7e-f62078411132",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        }
      },
      "source": [
        "print(ax.xaxis.label)\n",
        "ax.set_xlabel('Data')\n",
        "\n",
        "print(ax.yaxis.label)\n",
        "ax.set_ylabel('Adj Close')\n",
        "\n",
        "ax.set_title('Grafico Microsoft | Apple')\n",
        "\n",
        "fig"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text(0.5, 3.200000000000003, '')\n",
            "Text(3.200000000000003, 0.5, '')\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iJQPh9-cpwEr",
        "outputId": "99d54d61-af03-422f-e67d-bf97bf1537da",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(plt.style.available)\n",
        "plt.style.use('ggplot')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vdX4FpCSq9NH",
        "outputId": "154d8962-41f8-4f76-f490-47efb12f9a1f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#print(plt.rcParams['figure.figsize'])\n",
        "plt.rcParams['figure.figsize'] = [6,4]\n",
        "print(plt.rcParams['figure.figsize'])\n",
        "print(plt.rcParams['figure.dpi'])\n",
        "plt.rcParams['figure.dpi'] = 72"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[6.0, 4.0]\n",
            "100.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2goHCZRXrnke",
        "outputId": "b4e5443f-45a0-4b81-fb8e-7074a9c2b941",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        }
      },
      "source": [
        "fig = plt.figure()\n",
        "\n",
        "gs = fig.add_gridspec(nrows=6,ncols=1)\n",
        "ax1 = fig.add_subplot(gs[0:5,0])\n",
        "ax2 = fig.add_subplot(gs[5,0])\n",
        "\n",
        "ax1.plot(data.MSFT.Close)\n",
        "#ax2.bar(data.MSFT.index,data.MSFT.Volume)\n",
        "ax2.fill_between(data.MSFT.index,data.MSFT.Volume,0)\n",
        "\n",
        "ax1.axes.get_xaxis().set_visible(False)\n",
        "ax2.xaxis_date()\n",
        "ax1.set_title('Fecho | Volume | MSFT')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Fecho | Volume | MSFT')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5d_bACKfuGPE"
      },
      "source": [
        "!pip install mpl_finance\n",
        "import mpl_finance as mpf"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yq7qfw0xuPND"
      },
      "source": [
        "import matplotlib.dates as mdates"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZCRDMEoCuWps",
        "outputId": "32cd29a0-e7b4-4a0c-c1e4-e7c1ed2d164b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        }
      },
      "source": [
        "final_data = data.GOOG.reset_index()\n",
        "final_data['Date'] = final_data['Date'].map(mdates.date2num)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "mpf.candlestick_ohlc(ax,final_data.values,width=0.5,colorup='g',colordown='r')\n",
        "\n",
        "ax.set_xlabel('Data')\n",
        "ax.set_ylabel('Preço')\n",
        "ax.set_title('Gráfico de Velas Google')\n",
        "\n",
        "ax.xaxis_date()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mLu3OO+/EPffcAwDYu3cvPv74YyxduhQAMG7cOLzwwgtG99Dr9diyZQtWr14NmUyGlStXIjExEVFRUa4oAiGEuEXPWosiVIEuRXcQaVe0wxODikuav+Lj4xESEmKUJhKJuJ/b29vB4/H6vEdlZSUiIiIQHh4OoVCIpKQklJSUOCW/hBDiSQx9JlGhUehSKNClUNh0nSu5tU/lww8/xGOPPYbvv/8eaWlpXHpFRQUyMjKwbt06qK5GYLVaDZlMxp0jk8mgVqtdnmdCCHGV0LVrAVzrM0mLS4MuKgrt06YhQBhg9pp2fz500dFG17mSW3d+XLRoERYtWoS8vDx89dVXSE1NxejRo5GTk4PAwECUlpZCqVRi06ZNNt+7oKAABQUFAICsrCzI5XKb7yEUCu26ztP4SjkAKosn86XyuLssIpEIey/sxeKff0bd7JEQiUYhwJCfFSsAAOOezQM/untXR0FsLML27oWfnx+K44fgzm3bIAcgqKtDgFzu0vJ4xHbCt956K15//XWkpqYaNYslJCRgy5YtaGpqglQqRUNDA3esoaEBUqnU4j2Tk5ORnJzMvbZna1Bf2VLUV8oBUFk8mS+Vx91laWlpwYmWE+js7IS6vBTtp9pxuVd+5r6wC7UAUF+P0LAwCPLz0TmnE7k3B+EvV8+VVVaiob5+cGwnXFNTw/1cUlLCFeDy5ctgjAHo7kfR6/UIDQ1FTEwMampqUFdXB51Oh6KiIiQmJrol74QQ4gpdCgWCY27otw9FFxUFgUqFaHE0JIESF+XOPJfUVLKzs1FeXg6tVotly5YhNTUVpaWlqKmpAY/Hg1wu50Z+HTx4EPn5+RAIBPD390d6ejp4PB4EAgEWL16MtWvXQq/XY9asWVBY2VlFCCHewDB8OP9cPq50XsFLirugCO0OGn1pTUtDQHExlNOVFidOuopLgkp6erpJ2uzZs82eO3fuXMydO9fssYSEBCQkJDg0b4QQ4ikMw4c1bRq0d7VfDSbVaO0xkMmS9mnTAICb0+IuNKOeEEI8hGEZFgAIEASgNS0NUaHWzcWzJvC4gkd01BNCCLkWVHr2i7i75mErCiqEEOJhFo9f3O/6X9awdpKkI1HzFyGEDNDaH9ZyPztiFntanPXNXn2hoEIIIV6otK6U+3kgs9gTwq4NRHJEs1d/o8acgYIKIYQ4iDgjAwH5+XZfv2rKKgfmxj2d9xRUCCHEQYRVVeBrNHZd6+75JY5CQYUQQhyIr9GY3Tu+P47omPcEFFQIIcSBeDqdzfub+EotBaCgQgghVnHmg99XaikABRVCCLGKLz34nYmCCiGEOIguOhpMaPuc8p7Ls3g7CiqEEDJAitDuSYaNSiX0EtuXnqegQgghg5C5fpXcilwuqAAACzC/zS/gnj3jXY2CCiGEWMlcv0rvtI6pUy1eH1BcbPGYI5Zl8QQUVAghZIB6BoRGpdLsmlsLv1iIX459a/Ee3rYasSUUVAghxErm+j7yz+Xjp9qfjNIEKpXJBMiT6pM4K2ZOzZ8noKBCCCFW6h1UgnJzoWnToKqxyuTc3hMg/QR+qJ4Yy13nqyioEEKIFfLP5eNM4xmjtP5WJO4ZPGLEMbjjr59YdZ03c9kmXTk5OSgtLYVYLMb69esBALt27cJPP/0EHo8HsViM5cuXQyqVgjGGbdu24fDhwwgICMDy5csRHR0NAPj222/x6aefAgAWLFiAmTNnuqoIhJBBTNOmQZuujXttTW3DEDwyCjOMAlLvWkzP0WPezmU1lZkzZyIzM9Mo7c4778Sbb74JpVKJhIQEfPzxxwCAw4cPo7a2Fps2bcLSpUvxzjvvAACam5vx8ccfY926dVi3bh0+/vhjNDc3u6oIhJBBLsQvhPtZWF2N9/2O93m+IXhUNVahs6vT5LghME2LnObAXLqXy4JKfHw8QkJCjNJEIhH3c3t7O3g8HgDgp59+wvTp08Hj8RAXF4crV65Ao9GgrKwMEyZMQEhICEJCQjBhwgSUlZW5qgiEkEFu5JCR3M8ClQrn+I1mz9NLJNBLJEY1kmC/YO7n9mndQcRQk/GVkV+AB+xR/+GHH6KwsBAikQgvvvgiAECtVkMul3PnyGQyqNVqqNVqyGQyLl0qlUKtVrs8z4QQIlCpgFjzx9pTUgAA/kVFZo8bNs8KyM8Hv7YWjUqlU/LoDm4PKosWLcKiRYuQl5eHr776CqmpqQ65b0FBAQoKCgAAWVlZRkHKWkKh0K7rPI2vlAOgsngyby/PjqM78MCEBwCYloW/YwcEAgH8/Py4dGF9PfzPaiEYFmCUDgCCq60wvKvp8eHxaGNtJr8fv6YmCFUq+Dn59+bKz8btQcXg1ltvxeuvv47U1FRIpVLU19dzxxoaGiCVSiGVSlFeXs6lq9VqxMfHm71fcnIykpOTudc972ctuVxu13WexlfKAVBZPJm3l+dEzQnUR3bnv3dZQk+cQNfwLnR2dnLpMrkcpwTV0LYHQSFSGJ/f0gIA8O/sREN9PV6d/CpyK3JNfj9hXV3YFnYetzv592bPZxMZGWnXe7l1SHFNTQ33c0lJCVeIxMREFBYWgjGGiooKiEQiSCQSTJw4EUeOHEFzczOam5tx5MgRTJw40V3ZJ4QMYg2ffIKL8kBIAiRQTjfffNVzZr2lfpNzQe1OyZ+7uKymkp2djfLycmi1WixbtgypqakoLS1FTU0NeDwe5HI5li5dCgCYNGkSSktL8eSTT8Lf3x/Lly8HAISEhGDhwoVYuXIlAODuu+826fwnhBBHyq3IxRIAAYIARIujjY7Vx0ZhqnyCxWvNLdfSGwUVO6Wnp5ukzZ492+y5PB4PS5YsMXts9uzZFq8jhBBHq9ZWI/9cPkSjRSY1ksXjF1usgeiioqya5OhrQYVm1BNCCCzvaaLSqlAe3AJNm8bkWF8BpTUtDboo31h52BYUVIhXcOb+4IQAfQeVk7dNhSTQ+s23DEOGDf+3RC+RgAUGWp9JL0BBhXiF4guW96EgxNmU05VIGZni8Pu2p6RAFx3j8Pu6EwUV4hV8abtVQnwZBRVCCCEOQ0GFEEKu6mvlYV/Z7tfZKKgQQshVfQ0Bdsaij7qoKJ9a9h7woGVaCCFksGlNS8O0CnfnwrGopkIIIVf13jwLABLCEpz6nr607D1AQYUQQgB0775oCCo7ju7g0ldNWeWuLHklCirEoxkmPfpauzPxPD13X9z802ZkFGa4MTfei4IK8WiGSY8UVIiz9WyGUreqUdVY5cbceC8KKsTj0JIsxJV6/73R39/A0Ogv4nGqtdXcfAFFLNVQiHNVa6tNXsf+2oyWsW7KkJejmgrxSMLqaqM5AzTxzDr0Lds2GYUZyD+Xb5Ie0qpzQ258AwUV4nFUWpXJ0E5fG3bpLL2/dZO+Haw5aHZJ+yBhkMmGXMQ6FFSIxzEXVAgZCEs1uPYu4w2yDDs1xsniLG4RTPpGQYV4NGr2Io5grga39oe1ZoNKw6lDGHWJmr/sRUGFeDRq9iKO0nuxyEutlxAgCDA571RoO/4sm+OqbPkcl4z+ysnJQWlpKcRiMdavXw8A2LlzJw4dOgShUIjw8HAsX74cwcHBqKurw9NPP43IyEgAwJgxY7B06VIAQFVVFTZv3oyOjg5MmjQJDz30EHg8niuKQAjxcr0XizS3R89g3P7X0VxSU5k5cyYyMzON0iZMmID169fjzTffxPDhw5GXl8cdi4iIgFKphFKp5AIKALz99tt49NFHsWnTJtTW1qKsrMwV2Sdu0JHg3PWWyODRuz+lr+Xt+9v+l/TPJUElPj4eISEhRmk33XQTBAIBACAuLg5qtbrPe2g0GrS2tiIuLg48Hg/Tp09HSUmJ0/JM3Eu7itZbIo5Rra2Gbm8eAvK7hw73rLGYa/6i1RsGxiP6VPbt24eJEydyr+vq6vDcc8/hxRdfxIkTJwAAarUaMpmMO0cmk/UbiIh3o6YI4ij+jVrwNd1Dh3uOLJw6fCokgRKjc3uuAUZs5/YZ9Z9++ikEAgFuvfVWAIBEIkFOTg5CQ0NRVVUFpVLJ9cPYoqCgAAUFBQCArKwsyOVym+8hFArtus7TeFs5YuWx3fldsQLBvY55W1n64oyy1HXUue3346mfjUgkwuguKQSCNsjlcghraxG2dy/8/PywbcE27Di6wyjfK+QrwKt6zyPLYi9XfjZuDSrffvstDh06hDVr1nAd7n5+fvDz8wMAREdHIzw8HDU1NZBKpWhoaOCubWhogFQqtXjv5ORkJCcnc6/r6+ttzp9cLrfrOk/jTeVY+MVCNHc2W8yvN5WlP84oS2V9pdt+P44uT25FrkNG/7W0tOC+X6Xo6lKhvr4ess5OdOXno3NOJ+rr6zEvcp5JvuX33+8zf2eAfZ+NYbCUrdzW/FVWVoY9e/bg+eefR0DAtXbNpqYm6PV6AMDFixdRU1OD8PBwSCQSBAUFoaKiAowxFBYWIjEx0V3ZJ06i0qrQ0tni7mz4hL46pL3B11+uH/Dy8+YmPXYpFDS51olcUlPJzs5GeXk5tFotli1bhtTUVOTl5UGn0+HVV18FcG3ocHl5OT766CMIBALw+Xw88sgjXCf/kiVLkJOTg46ODkycOBGTJk1yRfaJi4WJwtydBZ/Q137rnsZcrYTf2ISx/z2IoJpcu0dlGSY96qKjwWtuBkBBxdlcElTS09NN0mbPnm323KlTp2Lq1Klmj8XExNjVv0II8WyGlal7B4/hDe0IKC62O6gY5qI0KrMR2uPZ0aVQICFsmP0ZJhZ5xOgvMnjlVuR6fTONJxJnZHBDaD1JbkWuxXW4LNWsBlKr6DnB0TCaUBcVhfZp02ibYCehoELcqlpbjYDiYndng7hItbaa280TuNbnkX8u32gJ+i9eXQheW6tD3tMw78RQ22lNS6NJjk5EQYW4HbVvO16jUon2lBR3Z8OsnrUHQ5+Hpk1jtAS9qlkFXB2wM1C0KKlrUVAhbqXSqrjlxgFAEiihfSwGmbydf3Hq/WlRUteioELcSqVVoX3atRnMKSNTaB8LBxEeP46gXM/qs8o/l48zjWeM0qobfzF6nVGYYXbjLOIdKKiQfi38YuGA5wtYoghVUPu2k/AbG022ZXY3TZsGbbo2o7Qzl8+gQ9+BOK0/AKCqsQo6ffd+JjUy07W5iGejoEL6pdKqMPa/Bx1+39yKXFq8bxDquYijbm8e2ps1iBHHIDHcdDLz3iTjOUueVOsi5lFQIVYZ3tDe/0k2MrcbH3WqOo5+yBB3Z8EscysDAzDqW7PEmloXBR73oqBC+nWl8wp+e1QDcYZjm8Dyz+Wj6EKRURp1qjqObvx4d2fBrJ5BRTjvLgSEOHZwhiHwWJoPQ5yLggrpVxfrgviKDsKqKoffm0Z6OY9ApfK44dqSQAmmDr+2YkZUaBRihsYYDc6IFkdDyL+22EfPGozw2DGr38tcTZg4HwUV0qeMwgy06hwzCa2n3IpcGunlBAlh13bMbJ82DcITJzxqZv14+XijzzwtLg360O5mOsOMd+V0JSayCO6cnkGF39TkopwSe1FQIX2qaqyCnjlmElpPW49tNZpBTRyj59IjrWlp4Gs03OZUniAy2HQ5dUMzXc9RgA+cN11UVJyRAeGZMybpvXla7WywoaBC3ELTpqEl7geR3IpcZBRmDPiLBE+r7bdvr2dQ6VlzI65BQYW41Nof1gIwbVsnvq1aW42qxiqrJzXqoqMBvvHjqVGpBPz8TPr2+uqQp0UjXY+CCukXn8c36jjtS1Bubp8rD5fWlQKgmfOuopdIoJdI+j/RjcwNI29UKq0eFda7Q97QB5N/Lt9pk3aJZRRUSL+ChEGQBFj3YBJWd69CSysPe4b2lBToxo1zdzb6ZGkYuWFUmKED3xq5Fbncsj+aNg2qGh0/YpH0zeagotfrodFouC1/ie8T8AQ2na/Set5Q1sHMXZ/Fz5scs1Bkzw58Juj7b7FaW82dT4uTuofVOz+2trZiy5YtOHDgAPR6PQQCAZKSkrB48WKIRCJn5pG4WbBfsLuzQLxMRmEGbjn6NW4cwD0MQ417YsHX/hbNbUHc0+Lxi2kyrRtYXVPZunUr2trasH79erz33nt488030dHRga1btzozf8QH9OxfMaz1RcuxuI41y6XooC0AACAASURBVJ84WlVjlcnCkXUtdTbdI2La3D6P99zsC+gOMj33aqGA4h5WB5WysjI88cQTiIyMhJ+fHyIjI7F8+XIcOXLEmfkjXiYgPx/CqjPcg0yckYHgq188cityMS2yu72b/sG7hi4qCl0Khd3rYQ1kqZPrLrYaDf9t77Jt/bj+/kYMAcTQIV+trTYKKsQ9rA4q/v7+aOo1m7WpqQlCYf8taDk5OViyZAn+8pdrbaw7d+5Eeno6nn32WSiVSly5coU7lpeXhyeeeAJPPfUUysrKuPSysjI89dRTeOKJJ/DZZ59Zm3XiAHqJpHuYJ/pfsO+6zhCus1RYVcVNvqvWVlMwcbHWtDTooqLMLsRoGN5tYC6AOHKpE1uDijk9/w4NNG0ap6yiTexjdVCZPXs2XnvtNeTn5+Pw4cPIz8/H2rVrkZyc3O+1M2fORGZmplHahAkTsH79erz55psYPnw48vLyAADV1dUoKirChg0bsGrVKmzZsgV6vR56vR5btmxBZmYmNm7ciAMHDqDag/aJ8HXtKSnd8wTQ90qx7SkpSLzzCa6zVBcdDb1EQov7uZGl/WpK60qNviA4eq2sX8ODuL8ZoHtouiRwYMObryxebHRPoLtJNf4K9et6Cqs76hcsWACJRIIDBw5ArVZDKpXij3/8I2bNmtXvtfHx8airM25Pvemmm7if4+LicPBg9zeNkpISJCUlwc/PD2FhYYiIiEBlZSUAICIiAuHh4QCApKQklJSUIMqG4YbEfr2HdQbl5pp9WB1rOIa0uGs10kalEp9vWoziC8W0d4oHcuYGXiqJ8UitaHE0Uq9PHdA9zf3NfXLHJwitWI9cavryCFYHFR6Ph9mzZ2P27NkOz8S+ffuQlJQEAFCr1RgzZgx3TCqVQq1WAwBkMhmXLpPJcPr0aYv3LCgoQEFBAQAgKysLcrnc5nwJhUK7rvM01pRjx9EdeDD3FPRrjZtE1B1qCAQCBK9YAcO4G4FIBKjVCO51z8f2PoYR7ARW90q/EOaPgIAAjBs+bsC/T1/5TADXlkVQV4eAXu/l5+cHkUjEpYtEIpP8mEuzpGd5/Pz88OnUIXijx739/PywImnFQItilH/D+wlEItS21RqlDYQv/Z0Bri2P1UFl69atuOWWW3D99ddzaadOnUJxcTEefPBBuzPw6aefQiAQ4NZbb7X7HuYkJycbNc3V19fbfA+5XG7XdZ7GmnKcqDmBru+L0LJ5s9G3QXWLGgGCAKPr5Vf7s+ofe8zoHuUXy/G/G/VY1uu9rowZgzAA8yLnDfj36SufCeDassgqK9HQ6706OzvRfuoULl9Nb2lpMcnPqYunUF9fzzWTmaspiDMyIKyqgm7/fu76zs5OdHV1ca9bWlrQ2dnp0PL2vF9oSwsiArtXNnbEe/jS3xlgX3kiI00X/7SG1X0qBw4cQExMjFFadHQ0/ve//2Hz5s1IT0+3eXjxt99+i0OHDuHJJ58Ej8cD0F0zaWho4M4xNLX1Tm9oaIBUKrXp/Uj/Av/3P6PXfB7fpNlKUFtrduVbS0NGVVqVyfBS4hl6Tow0N3JKpVUhKDe3z73uP2g/6NIJlqG9atNAdzmmRU7jRhcS97E6qPB4PJNZ9Hq9Howx3HPPPXjjjTfwzTffWP3GZWVl2LNnD55//nkEBFzbCS4xMRFFRUXo7OxEXV0dampqEBsbi5iYGNTU1KCurg46nQ5FRUVITDTd05rYT1hVBf/SUqO0aHE0PrnjE6M0Xrv5UTwMzGxHrCJUQQv7eQFLw3H7W3LnXJB1o7octWJw779RoDuopMWl0ehCD2B189fYsWOxa9cu3H///eDz+dDr9di9ezduvvlmyGQytLW14d577zV7bXZ2NsrLy6HVarFs2TKkpqYiLy8POp0Or776KgBgzJgxWLp0KRQKBaZNm4ZnnnkGfD4fDz/8MPhXVytdvHgx1q5dC71ej1mzZkHhhkldvkqlVQF6PfiXL0OckWEywqYnFmB+j/FwUTiSIpNM0h010TG3Ihcr5I5rkx9MBjIBsmctpPcAjYzCDAxt0wDoe1RXVGgUPfAHCauDykMPPYSsrCw8+uijXPucRCLB888/DwAIDAzEbbfdZvba9PR0k7S+OvwXLFiABQsWmKQnJCQgIYH2R3AGlVYF/ZAh4KvV/W4bbCmoWOKoh4m5Ia/9LdVBujliVr1ApYKw132qGqswQa8zObf3mlvO+IxoNKFnsjqoyGQyvPHGG6isrERDQwNkMhliY2O5WgTxfvqwMOCXX7jXuRW5Hv8Pt/hCMR48bHkuBulmy0q/PXU3WZXaHJScva1Bz9UZAKCDvmx6DJsigl6vR1dXFxhjiIuLQ0dHB9raqAPWV1Vrq80GFUNNxd6lP+yl0qrAX7XKJK2/uRY08dJy0O0vWBj6wgzLvZjTGCx0+Z4txReKjWo/2lXUZ+cprA4qv/76K5566im89dZb+Oc//wkAKC8v534m3s/cbnvm+kP0YWHgazTcml79ne8oKq0K/B9+QEZhBhZ+sdDq6xw9U9yXWFsD6asm+P0ECdpTUrjXrviyQWt8eS6rg8rbb7+NtLQ0ZGdnc+t9xcfH4+TJk07LHHGtRqUSXeHh3NpKKq3KbFu44XjvYcWKUIVT+zcMtaaqxip6qDiIoVlsoIGgZ/OasLqaaoeDmNVBpbq62mSCYmBgIDo6OhyeKeI+2r/8pc+RX0B38DHX3OHsOQKe3r/jbRShCq4GYmhCNASXnkHG0F8RkJ+PgPx8Lr3nOb1rMlQ7HLysDirDhg1DVa9RQZWVlYiIiHB4poj79Hw42PoQd9coLIFK1ec37d98fdyFufF8hlqEuc/XEFx69lMZ+iv4Go1R7TSguBjR4miz93F2TZK+YHguq0d/paWlISsrC7/73e+g0+mQl5eH//u//8Ojjz7qzPwRF7F3YpqlhSVdydxQV4OMwgzcUmE6WW4wq9aaNk8F5OdDKLwIoHuekbkZ8iwgwGjiq0ClgnL6JybnARRUBjOrayo333wzMjMz0dTUhPj4eFy6dAnPPvus0WrDxHuZm/HeV6e7YQSYM1e5dQRzOxAS0+YpvkYDXj8jOfVhYSZp5vpOBCqVUx/67tjJkljPqqCi1+vxxBNPICoqCkuWLMHKlSuxdOlSRPfaLId4p96bNRn01ZxleMC4cs0n2oLYMYTHjpmk6SUSsMBACFQq5FbkWv3gNtd3QkFlcLMqqPD5fPD5fHR2djo7P8QNSutsbx4ybL7lSoYg92AZjNYYo4eMbfjaJqi0KqMg3Z6SAl10DAQqFXWykwGxuvlr3rx52LhxI8rLy1FbW4uLFy9y/5HBp1GpBF+jgfDECZe/972iJKSMvDYvokuh4L5h92Zp5eTBztxw8Z79avbOwHcFT84bsXE/FQA4evSoybFcF8+sJvZz5FpZ/KYmh9zHEQQqFb76pdGkbI7YF92XiDMycJZXhjNDQ02OdferdU8q7W/wRW5FLpbDcoe8M5sqW9PSgEPrnXZ/MjD9BpX29nZ88sknmDRpEqKjozF//nz4+/u7Im/ECaq11Q4bscUCA13eBMZGjoRApUJUqOmcmKZ280Huuout/a68PFgIq6rQGtNhMnjB1m//xReK8ahCYTaodCmcOwmWeLZ+m7+2bNmCQ4cOISoqCj/88APee+89V+SLOJGjRmzpYmKMludwBTZjBrd3BnCtyaavBQUDOvT9rrw82PX8kmHNcGCVVmWxL4v6uAa3foNKWVkZVq9ejfvvvx8rV67EoUOHXJEvQszSP/CA0WvDUGjtqlU403gGGYUZ3LGMwgy06FrA59FK2tbqslD7IMRaVjV/Sa42ccjlcrS0tDg9U8S5HDkM2B2dpua+CWcUZkDboTVKq2qsgkgoQrhIxK1XRoCgLj4ChYFmj3UpFFCYdrfYxBV/EzS83HP1G1S6urpwrMe4dr1eb/QaAMaPH+/4nBGnUGlVDg0q7phN3zuo6KKiUNVYBD++n9l9PK6fkYbGv/zFVdnzeHFXgnBOHGP2mC4qCtMirXtg66KizM5HccXfBPXZeK5+g4pYLDZa3j4kJMToNY/Hwz/+8Q/n5I44nCObNnSjRjnsXgPRmpaG6MKfcKbxjNnjNATV2EitwOKx1rQ0WPu4bk1Lg+IQzWkhxvoNKps3b3ZFPogLGOZxOKojtXG95wzrVE5XWtxjxdw3Z2/dhji3InfAO13++XQw3hlgPgw1FGqGIr1ZPU9lIHJyclBaWgqxWIz1Vx9ExcXF2L17N86fP49169YhJqa7Ol5XV4enn34akZGRAIAxY8Zg6dKlAICqqips3rwZHR0dmDRpEh566CHweDxXFMEnGGZKt0+bhtC1awf1bnneOmu8WlsNoQOyPtBlVAzXe2NgJs7lkmExM2fORGZmplGaQqHAs88+i3HjxpmcHxERAaVSCaVSyQUUoHujsEcffRSbNm1CbW0tysrKnJ53X9Salgb/Uu9duXcwN2c5qvmSVvklzuKSoBIfH4+QkBCjtKioKK42Yg2NRoPW1lbExcWBx+Nh+vTpKCkpcXRWiRcYaEewpV0JPXG3wt55GmhQcdSabdTsRSxxSfOXrerq6vDcc88hKCgI99xzD8aNGwe1Wg2ZTMadI5PJoFarLd6joKAABQUFAICsrCzI5XKb8yEUCu26ztMYyiESiRArj4VcLofQz48rm1+Pnz1dX5/JsNBhRsf8/PwgEAhMzt/x+Q4AwBsXxxnNe1GfULv092DN31fPPK36ZhXGHzqL4JI2BI0bZzJnxyrbtkHw6qsQiWBzWQXx8eC1tUEul2OFfIXJcV/59wL4VlkA15bH44KKRCJBTk4OQkNDUVVVBaVSyfXD2CI5ORnJycnc6/r6epvvIZfL7brO0xjK0dLSgjD/MNTX10PW2YmGq2Xr7Oz0mnL29ZmMCR1jdKyzsxNdXV0m519qvgQAaK05AW2PYy0tLS79PVjz99UzT9//8j1+c7kF+kuX0JGfj8vz5tn1vqEtLZAKomwv66uvInT9eqPfWU++8u8F8K2yAPaVx5aWpJ48bqqxn58fQkO7Z19FR0cjPDwcNTU1kEqlaGho4M5raGiAVCp1Vzad6udNzptT0bPZwhObexzF0vbCQbm5kARKIAmUuHQvGHsdb7i2FbIiVIErQ4LwzBQNfjn2LZeeUZhhceSbJfZ2sA/m/ixiHY8LKk1NTdDr9QCAixcvoqamBuHh4ZBIJAgKCkJFRQUYYygsLERiYqKbc+t4GYUZOHP0a6fdv+fDxDACyt6thD2ZpfXNAoqLkTIyBePl470iqJTWlXJLzyhCFQi8/W78rPA3WhCyqrHKZUuruHvraOL5XNL8lZ2djfLycmi1WixbtgypqakICQnB1q1b0dTUhKysLIwaNQqrVq1CeXk5PvroIwgEAvD5fDzyyCNcJ/+SJUuQk5ODjo4OTJw4EZMmTXJF9l2qqrEKNzt4+9sdR3dgXqRxU0nPuSrmthL2Vd2BRIHI4EgAv7g5N30rulCEzi7jjfFWTVmFyWf2ALi2InO0OJrW6yIewyVBJT093Wz65MmTTdKmTp2KqVOnmj0/JibGrv6VwSyjMAPll8sx707joPJf/QnknzuBv9zsO8uX9GzaE6hUQJwbM+MAqmYVxkrHmiw9IwmUIFDYwb02TPx01JYGhAyExzV/kWv7fzhCVWMV1K2mo+Q0bRpo2jQOeQ9P0bNpT6BSYV6R5V0fVVoVmjo8Z5Ox3jIKM7D12FYMCRjCpRmCZsrIFMT0WLvL0Ddm7ZYG1C9CnImCigei/T8cY3iD6a6PXQoFokK7F0Ic4j/EzFWeoaqxCpo2DeaOmsulWepcL75QjDONZ3D4pzyr7k21GeJMFFSIz+K1mw8q3rS0iDV5VWlVaNO1IaTGd4bAEu9FQcWLWBoma48aWYDD7uWpzAUVS4ouFFFnNyEOQEHFw/yq/dXiMUdtAwwAe5PCHHYvT2TNSsw9z0mKTMK0SNN9713FljlDvZdIMazjNRi+KBDPR0HFw/TevdAce2ssg2m9JktBpWcndfs04yDizmaxrce2Gm2FHC2OtrjoY+98GvqH2kZEODWPhFiDgooXCigutus6b+pLcBZDJ3VUaJRJh7UjmxdtpWnToKrx2uAM5XQlPrnjE4vndyQYT1hNuz4NKSNTnJY/QqxFQcXL5Fbk2jQTvK7F/LDaaHE0JIEDX63WW5kLsMFbtzpsKLctzDV99dcc1nsvnMFUCyWejYKKB7DmG7IhmNi6uZTITwRpkOkaacrpSvpm2wtfo3HLUO7en2no2rU2f85UCyWegoKKB+jZAR8kDAKfZ/qxVGurLdZQ+gpKKSNTsCLRdJlygL7dmrNjhOUJk7ayd8FO/9JSm0ai0edIPAkFFQ8TLY5GkDDIJD3/XD7ONJ4xedjkVuT2OyrsgQnm993w5W+39s4aPxdk/TDk/hRf6O776q8mai6A2BJUfPlzJN6HgoqX0LRpcFbMTB42fdVgAMdtP+ttWtPSwALcN8Q2dO1a7nff38AKR31GtPwK8QQet0kXsaw0bsjVYabXHkL55/Lx8LGLGNrjvKDcXGy/uoDzYA0qAKCLjYUksNmmaxxVU/EvLQUmdP9szcAKSaAE0eLoAb0nLb9CPAHVVNxs4RcLkX8u3yhNrBOYPXdvUpjJ3AVNm8Zobw2gu4+mWlvNNb8MVnf89RMsHr/Y6vP1Egl+kfAG9J72DEtWhCqwePxibjViayZuEuKpKKi4mUqrMlkt+EZBFHTR9n9rDcjPR+03eYO6lmJgS39De0oKht80c0DvZ65/q0uh6DPYKEKN1yOjoEK8GQUVD6MIVeDK4sVoVCotntP7odN7eQ6+RgNVFy0uaA9Ls9gHokuh6LNfhUZvEV9CQcXDKEIV/baNmwsqoWvXmh3C6otbBTuTox7wPT8jXVSUxX6VtT+sNalN6aKinBLcCHEFCioepr+HWlRolNEoH0WoApJACfxLS7k+FL1EAhYYCGBwbRXsCGlxaXbPLwGudcp3KRRcYOjrS0JpXalJWmtaGgUV4rUoqDjBQNaQ6q8PIC0uzegh9ckdn3Az4w19KFcWL4YuOsbs9cQyQ7C2dTZ7Tz1rJP2teszfscPiMWoSI97KJUOKc3JyUFpaCrFYzO0xX1xcjN27d+P8+fNYt24dYmKuPQTz8vKwb98+8Pl8PPTQQ5g4cSIAoKysDNu2bYNer8ecOXMwf/58V2TfZo5cot5gzoUA6CZb13nfmpYGxbeDe+SXPRw1JDd07VogMLDfLwi8c+cAC7GDJjQSb+WSmsrMmTORmZlplKZQKPDss89i3LhxRunV1dUoKirChg0bsGrVKmzZsgV6vR56vR5btmxBZmYmNm7ciAMHDqDaCQ9vdzC3D0bo2rVGr//Bm88NOe3N3KQ3RaiCmlDsNJBRc10KBfxLS2kiIhm0XBJU4uPjERISYpQWFRWFyMhIk3NLSkqQlJQEPz8/hIWFISIiApWVlaisrERERATCw8MhFAqRlJSEkpISV2TfqSSBEpy8bapJun+paVu7JTTpzbGsCSqWmji7FAp0KfofbGFAgZ/4Go/rU1Gr1ZDJZNxrqVQKtVptki6TyaBWq92RRYdKGZlisQZiq94PKGqXt481I+b6auK0ZZ4JBRXia3x2mZaCggIUFBQAALKysiCXy22+h1AotOs6QV0dAo8fB5sxo99zRSKR2fcQxMZi74W93GKQApEIAX3kRejnh+vDr+fuNW74OO5ae8vhiVxRlo23b+z3HHOfx46jO/DguHHgnTtnckzo52eSbz6fb/Hz90b0d+a5XFkejwsqUqkUDQ0N3Gu1Wg2ptHs/kJ7pDQ0NXLo5ycnJSE5O5l7X19s+GVAul9t1XWhYGLQ33ABYcW1LS4vZ9wgNC8OJmhOoj6zv3jjq6FHUP/aYxfsMjYgwute8yHncz/aWwxN5SllCW1qg7ZWPEzUnUDfvLwhdv97kmKyzEw290sL1ekgFUo8ojyN4ymfjCL5UFsC+8pjrnrCGxzV/JSYmoqioCJ2dnairq0NNTQ1iY2MRExODmpoa1NXVQafToaioCImJie7O7oD11URlS4dxl0JBzV1eiEZ5EV/jkppKdnY2ysvLodVqsWzZMqSmpiIkJARbt25FU1MTsrKyMGrUKKxatQoKhQLTpk3DM888Az6fj4cffhh8fnfsW7x4MdauXQu9Xo9Zs2ZB4WVrJOVW5Jo8RPp6qBiCSqNSidCrQ7H7Qg8o1wnIzwe/thb/fiTR7Ix4c4Jyc4068NnIkU7NIyHu4JKgkp6ebjZ98uTJZtMXLFiABQsWmKQnJCQgIcGzlx3JrcjF1IZj6Pm4MDxMBjKprr8hqjSE1bV+7qrG+KoQVGsjuM83/1w+aq/UQplmfuBF7859/QMPWNVESog38bjmL2+39dhWfKk7bpRmeJjkn8tHRmGG0TFrlwTpb4gqDSt2rUZhF/ez4fPVtGlQ1ej6Pe4J8SQUVBxM06bB9onGaYalO3o/dDIKM7D12FZXZo84GG0vQIgxCiouYGmF2qrGKpO9VAx0UVG0wrAXUGlV3OerCFVY3L2xS6GAQKUa0LpwhHgDjxtS7A3Mdbj3Jyg316YtY1vT0kDrC3uXT+74xOKxLoUC/kVFEHrZ4BJCbEU1FTtUa6tt/sYprK42mj1P31h9gyJUYdUMesNACmv2qyfEm1FQsZOlnfzau9otXtNzHokzVjImrsWvq7N6mRXDQIr8mv1Y+MVCZ2aLELeioGInc984cytyMUw0DJJAickx4fHjRk1m9I3Ve2UUZqBV1wpee7vJpml96VIooOa1Uuc+8WnUp+JAxReKUbCwAOsPGU9UFFZVAYwZpVFQ8V5VjVX4VcKHXiDp3jQtzrrruhQKoNa5eSPE3aim4kB9fQPlabXda3gRn7D2rmFoT0mx+TpdVJTZmiwhvoKCio0MHex9dc72XoNLFx0NFhpqct68ojrHZo54vD+8WcBt/0yIL6KgYiNDB3tfQcXccGNdTAwaldeW7xBWVWFEJbWFeKNocbRd+6AY+l5o4U/iyyioWCGjMIMbsdOzL2TtD2stXWLEbADS68HT6RySP+IahiV1lNOVfc5JscQwAowW/iS+jIKKFaoaq8z2l5TWWbflr7mgwgICIO0UUvu6FxnIgqCEDBY0+stGhgChi4oa8Fawt9dJUDV+sSOyRdyAVoYmxBTVVOzUmpbmkP3FqSnEc4kzMiBbeG2iYu/aKq0MTYgpCioDEPB/+UYPHUvMfaNlAQHOyBJxIGFVlVEfGk1aJKR/FFQGgK/RWDWJ0dw3Wn1YmDOyRAghbkV9KnawZ0iobtQo49fR0eA1NzsoR4QQ4hmopmIHQz/IyFbrm7Aae+0x36hU2jUjmxBCPJlLaio5OTkoLS2FWCzG+qsP1+bmZmzcuBGXLl3CsGHD8PTTTyMkJATHjx/H3/72N4RdbR6aMmUK7r77bgBAWVkZtm3bBr1ejzlz5mD+/PmuyD7mFdXhrRtN0+8NmAq95Kjd96XRQ57v3TFXcJu7M0GIF3FJTWXmzJnIzMw0Svvss89w4403YtOmTbjxxhvx2WefccfGjRsHpVIJpVLJBRS9Xo8tW7YgMzMTGzduxIEDB1DtouXjhzdcW86+ZyAYaG2DRg95vnOhXf2fRAjhuCSoxMfHIyQkxCitpKQEM2bMAADMmDEDJSUlfd6jsrISERERCA8Ph1AoRFJSUr/XOIJhFrUBBYLBpSK4FV+8SvufEGItt/WpNDY2QiLpnk0+dOhQNDY2cscqKiqQkZGBdevWQXV1dJVarYZMJuPOkclkUKvVTs+ntbOoaSdH39Qq0GPGl0chzshwyLwkQnydR4z+4vF44PF4AIDRo0cjJycHgYGBKC0thVKpxKZNm2y+Z0FBAQoKCgAAWVlZkMvlNt9DKBRCJBJBIBBAIIDZewhEIgTI5RCo1Yi9Ltau93E2oVDokfmyhyvLIvTzAwCIr+gQpFLh+vAZDn1vX/pcAN8qjy+VBXDxvxuXvIsZYrEYGo0GEokEGo0GQ4YMAQCIRCLunISEBGzZsgVNTU2QSqVoaGjgjjU0NEAqlVq8f3JyMpKTk7nX9fX1NudRLpejpaUFXV1d6Ooyf48gqRSt9fUYeuoUEuZMs+t9nE0ul3tkvuzhyrLIOju5n7vOn4dUIHXoe/vS5wL4Vnl8qSyAfeWJjIy0673c1vyVmJiI/fv3AwD279+P3/zmNwCAy5cvg13dJbGyshJ6vR6hoaGIiYlBTU0N6urqoNPpUFRUhMTERKfns79Z1IY+FoFKRUuu+DB+UxN9voRYwSU1lezsbJSXl0Or1WLZsmVITU3F/PnzsXHjRuzbt48bUgwABw8eRH5+PgQCAfz9/ZGeng4ejweBQIDFixdj7dq10Ov1mDVrFhR97GniKNYuzdHX/iqEEDJYuCSopKenm01fs2aNSdrcuXMxd+5cs+cnJCQgISHBoXlzFAoqvimoi4+2IcHoColwd1YI8Qoe0VHv6Xjt7QD6nj1PExl9U9yVIMgXPIT2/k8lhICWabFKd1DpG81fIYQQCiqEWKSLjgYLCnR3NgjxKhRUCLGgUamELibG3dkgxKtQULGClAXRXvKD1Ei9GAD1mRFiLeqot8Jtumh8NzLJ3dkgbnBf5w0AqM+MEGtRTYWQflAthRDrUVCxkj27PRLfQLUUQqxHQcVKtEQHIYT0j4IKIX2gpi9CbENBhZA+UNMXIbahoEIIIcRhKKgQQghxGAoqhBBCHIYmP/YjISwBXYpL7s4GIYR4Baqp9GPVlFVonzbN3dkghBCvQEHFCjQCiBBCrENBhRBCiMNQUCGEEOIwLuuoz8nJQWlpKcRiMdavXw8AaG5uxsaNG3Hp0iUMGzYMTz/9NEJCQsAYw7Zt23D48GEEBARg+fLliI6OBgB8++23+PTTTwEACxYsNequ3AAAC/5JREFUwMyZM11VBEIIIf1wWU1l5syZyMzMNEr77LPPcOONN2LTpk248cYb8dlnnwEADh8+jNraWmzatAlLly7FO++8A6A7CH388cdYt24d1q1bh48//hjNzc2uKgIhhJB+uCyoxMfHIyQkxCitpKQEM2bMAADMmDEDJSUlAICffvoJ06dPB4/HQ1xcHK5cuQKNRoOysjJMmDABISEhCAkJwYQJE1BWVuaqIhBCCOmHW/tUGhsbIZF076g4dOhQNDY2AgDUajXkcjl3nkwmg1qthlqthkwm49KlUinUarVrM00IIcQij5n8yOPxwOPxHHa/goICFBQUAACysrKMgpS1hEKhXdd5Gl8pB0Bl8WS+VB5fKgvg2vK4NaiIxWJoNBpIJBJoNBoMGTIEQHcNpL6+njuvoaEBUqkUUqkU5eXlXLparUZ8fLzZeycnJyM5OZl73fN+1pLL5XZd52l8pRwAlcWT+VJ5fKksgH3liYyMtOu93BpUEhMTsX//fsyfPx/79+/Hb37zGy79q6++wi233ILTp09DJBJBIpFg4sSJ+PDDD7nO+SNHjuDee++16r3s/QXZe52n8ZVyAFQWT+ZL5fGlsgCuK4/L+lSys7OxevVqXLhwAcuWLcO+ffswf/58HD16FE8++SR+/vlnzJ8/HwAwadIkhIWF4cknn8Rbb72FJUuWAABCQkKwcOFCrFy5EitXrsTdd99t0vnvSC+88ILT7u1KvlIOgMriyXypPL5UFsC15XFZTSU9Pd1s+po1a0zSeDweF0h6mz17NmbPnu3QvBFCCHEMmlFPCCHEYQQvvfTSS+7OhCczzOT3dr5SDoDK4sl8qTy+VBbAdeXhMcaYS96JEEKIz6PmL0IIIQ7jMZMfHaG+vh6bN2/G5cuXwePxkJycjHnz5llcuPL8+fPIycnB2bNncc899+DOO+/k7rV37158/fXXYIxhzpw5uP32282+Z1lZGbZt2wa9Xo85c+ZwI9i++uorfPnll7h48SLeeecdbg6Ot5Xjn//8J6qqqsAYw/Dhw7FixQoEBgZ6ZVk2b96M8vJyiEQiAMCKFSswatQoryzLmjVr0NraCgBoampCTEwMnnvuOavL4mnlOXbsGHbu3AmdTofRo0fjscceg0Ag8OiymFskFwCKi4uxe/dunD9/HuvWrUNMTIzV5bC3PN999x327NkDxhiCgoKwZMkS7m/b0u+8N0uL9X744YcoLCxEc3Mzdu7c2X/mmQ9Rq9XszJkzjDHGWlpa2JNPPslUKhXbuXMny8vLY4wxlpeXx3bu3MkYY+zy5cvs9OnT7IMPPmB79uzh7nPu3Dn2zDPPsLa2NqbT6dgrr7zCampqTN6vq6uLPf7446y2tpZ1dnayZ599lqlUKsYYY1VVVezixYts+fLlrLGx0WvLceXKFe687du3c+/vjWX5xz/+wYqLi23Kv6eWpSelUsm+/fZbry1PV1cXW7ZsGTt//jxjjLFdu3axr7/+2qPLwhhjx48fZ2fOnGHPPPOMUbpKpWLnz59nL774IqusrLSpHPaW5+TJk0yr1TLGGCstLWUrV65kjFn/N6TVatmKFSuYVqs1+pkxxk6dOsXUajW7//77rcq7TzV/SSQSrjMqKCgII0aMgFqttrhwpVgsRmxsrMk3ovPnzyM2NhYBAQEQCAQYN24cfvjhB5P3q6ysREREBMLDwyEUCpGUlMTde/To0QgLC/P6chi+1TPG0NHR4dVlGShPLEtLSwuOHz/OTRz2xvI0NzdDKBRyk/MmTJhg9npPKgtgfpFcAIiKihrwRENby3P99ddzeRkzZgwaGhoAWP/voa/FeuPi4rg1Gq3hU0Glp7q6Opw9exaxsbEWF660RKFQ4OTJk9BqtWhvb8fhw4e5D6mn3gtcGha+9LVy5OTkYOnSpbhw4QJuu+02ry7Lhx9+iGeffRbbt29HZ2enV5cF6F7pe/z48Vzw98byhIaGoqurC2fOnAEAHDx4cEBLpLiiLK5ka3n27duHSZMmAbD+GeXIxXp9qk/FoK2tDevXr8eDDz5o8o/NmoUro6Ki8Mc//hGvvfYaAgMDMWrUKPD5ro+/nlKO5cuXQ6/XY+vWrSgqKsKsWbNsvocnlOXee+/F0KFDodPp8NZbb2HPnj24++67vbIsBgcOHBjwZGB3l4fH4yE9PR3vvvsuOjs7cdNNN9n9+3B3WRzN1vIcO3YM33zzDV555RVXZtOIzwUVnU6H9evX49Zbb8WUKVMAWF64si89Z+5/8MEHkMlkqK+vxxtvvAEA+N3vfodRo0YZfYsxLHzpi+Xg8/lISkrC559/bnNQ8ZSyGL7h+fn5YdasWfjiiy9sKocnlQXo7qCvrKzEs88+a3M5PK08cXFx3IPwyJEjuHDhgkeXJSUlxeb82crW8pw7dw5vvfUWVq5cidDQUADdNQ5zv/PTp0/j3//+NwAgLS3NpsV6++NTzV+MMfzrX//CiBEj8Ic//IFLNyxcCcBo4cq+GKqV9fX1+PHHH/Hb3/4WcrkcSqUSSqUSKSkpiImJQU1NDerq6qDT6VBUVITExESfKQdjDLW1tVyefvrpJ5vbij2lLACg0Wi4PJWUlEChUHhtWYDuZqKEhAT4+/vbVA5PLI/h+s7OTuzZs8fmh7ary+Jstpanvr4eb775Jh5//HGjf6OWfudjxozhypOYmIiJEyfiyJEjaG5uRnNzM44cOYKJEyfalXefmvx48uRJrFmzBtdddx1XLVy0aBHGjBmDjRs3or6+3mgY3uXLl/HCCy+gtbUVPB4PgYGB2LBhA0QiEdasWQOtVguhUIgHHngAN954o9n3LC0txbvvvgu9Xo9Zs2ZhwYIFALqHJX7++ee4fPkyxGIxJk2ahGXLlnlVOfR6PV588UW0tLQAAEaOHIklS5bY1H7vKWUBgJdffhlNTU1cWZY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              "   }(mpld3);\n",
              "}else if(typeof define === \"function\" && define.amd){\n",
              "   // require.js is available: use it to load d3/mpld3\n",
              "   require.config({paths: {d3: \"https://d3js.org/d3.v5\"}});\n",
              "   require([\"d3\"], function(d3){\n",
              "      window.d3 = d3;\n",
              "      mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.5.1.js\", function(){\n",
              "         \n",
              "         mpld3.draw_figure(\"fig_el1071401447505093047747148062\", {\"width\": 432.0, \"height\": 288.0, \"axes\": [{\"bbox\": [0.125, 0.125, 0.775, 0.755], \"xlim\": [737042.625, 737441.375], \"ylim\": [996.5235076904297, 1382.5464996337892], \"xdomain\": [[2018, 11, 14, 15, 0, 0, 0.0], [2020, 0, 17, 9, 0, 0, 0.0]], \"ydomain\": [996.5235076904297, 1382.5464996337892], \"xscale\": \"date\", \"yscale\": \"linear\", \"axes\": [{\"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null, \"tickformat_formatter\": \"\", \"tickformat\": null, \"scale\": \"linear\", \"fontsize\": 10.0, \"grid\": {\"gridOn\": true, \"color\": \"#FFFFFF\", \"dasharray\": \"none\", \"alpha\": 1.0}, \"visible\": true}, {\"position\": \"left\", \"nticks\": 10, \"tickvalues\": null, \"tickformat_formatter\": \"\", \"tickformat\": null, \"scale\": \"linear\", \"fontsize\": 10.0, \"grid\": {\"gridOn\": true, \"color\": \"#FFFFFF\", \"dasharray\": \"none\", \"alpha\": 1.0}, \"visible\": true}], 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1311.739990234375], [737382.75, 1311.739990234375]], \"data479\": [[737383.75, 1301.3499755859375], [737384.25, 1301.3499755859375], [737384.25, 1301.47998046875], [737383.75, 1301.47998046875]], \"data480\": [[737384.75, 1295.3399658203125], [737385.25, 1295.3399658203125], [737385.25, 1305.6199951171875], [737384.75, 1305.6199951171875]], \"data481\": [[737387.75, 1299.1800537109375], [737388.25, 1299.1800537109375], [737388.25, 1306.68994140625], [737387.75, 1306.68994140625]], \"data482\": [[737388.75, 1309.8599853515625], [737389.25, 1309.8599853515625], [737389.25, 1313.550048828125], [737388.75, 1313.550048828125]], \"data483\": [[737389.75, 1312.989990234375], [737390.25, 1312.989990234375], [737390.25, 1315.0], [737389.75, 1315.0]], \"data484\": [[737391.75, 1304.9599609375], [737392.25, 1304.9599609375], [737392.25, 1307.1199951171875], [737391.75, 1307.1199951171875]], \"data485\": [[737394.75, 1289.9200439453125], [737395.25, 1289.9200439453125], [737395.25, 1301.0], [737394.75, 1301.0]], \"data486\": [[737395.75, 1279.5699462890625], [737396.25, 1279.5699462890625], [737396.25, 1295.280029296875], [737395.75, 1295.280029296875]], \"data487\": [[737396.75, 1307.010009765625], [737397.25, 1307.010009765625], [737397.25, 1320.5400390625], [737396.75, 1320.5400390625]], \"data488\": [[737397.75, 1328.0], [737398.25, 1328.0], [737398.25, 1328.1300048828125], [737397.75, 1328.1300048828125]], \"data489\": [[737398.75, 1333.43994140625], [737399.25, 1333.43994140625], [737399.25, 1340.6199951171875], [737398.75, 1340.6199951171875]], \"data490\": [[737401.75, 1338.0400390625], [737402.25, 1338.0400390625], [737402.25, 1343.56005859375], [737401.75, 1343.56005859375]], \"data491\": [[737402.75, 1341.5], [737403.25, 1341.5], [737403.25, 1344.6600341796875], [737402.75, 1344.6600341796875]], \"data492\": [[737403.75, 1345.02001953125], [737404.25, 1345.02001953125], [737404.25, 1350.8399658203125], [737403.75, 1350.8399658203125]], \"data493\": [[737404.75, 1345.93994140625], [737405.25, 1345.93994140625], [737405.25, 1350.27001953125], [737404.75, 1350.27001953125]], \"data494\": [[737405.75, 1347.8299560546875], [737406.25, 1347.8299560546875], [737406.25, 1347.949951171875], [737405.75, 1347.949951171875]], \"data495\": [[737408.75, 1356.5], [737409.25, 1356.5], [737409.25, 1361.1700439453125], [737408.75, 1361.1700439453125]], \"data496\": [[737409.75, 1355.1199951171875], [737410.25, 1355.1199951171875], [737410.25, 1362.8900146484375], [737409.75, 1362.8900146484375]], \"data497\": [[737410.75, 1352.6199951171875], [737411.25, 1352.6199951171875], [737411.25, 1356.5999755859375], [737410.75, 1356.5999755859375]], \"data498\": [[737411.75, 1351.8199462890625], [737412.25, 1351.8199462890625], [737412.25, 1356.0400390625], [737411.75, 1356.0400390625]], \"data499\": [[737412.75, 1349.5899658203125], [737413.25, 1349.5899658203125], [737413.25, 1363.3499755859375], [737412.75, 1363.3499755859375]], \"data500\": [[737415.75, 1348.8399658203125], [737416.25, 1348.8399658203125], [737416.25, 1355.8699951171875], [737415.75, 1355.8699951171875]], \"data501\": [[737416.75, 1343.56005859375], [737417.25, 1343.56005859375], [737417.25, 1348.5], [737416.75, 1348.5]], \"data502\": [[737418.75, 1346.1700439453125], [737419.25, 1346.1700439453125], [737419.25, 1360.4000244140625], [737418.75, 1360.4000244140625]], \"data503\": [[737419.75, 1351.8900146484375], [737420.25, 1351.8900146484375], [737420.25, 1362.989990234375], [737419.75, 1362.989990234375]], \"data504\": [[737422.75, 1336.1400146484375], [737423.25, 1336.1400146484375], [737423.25, 1350.0], [737422.75, 1350.0]]}, \"id\": \"el107140144750509304\", \"plugins\": [{\"type\": \"reset\"}, {\"type\": \"zoom\", \"button\": true, \"enabled\": false}, {\"type\": \"boxzoom\", \"button\": true, \"enabled\": false}]});\n",
              "      });\n",
              "    });\n",
              "}else{\n",
              "    // require.js not available: dynamically load d3 & mpld3\n",
              "    mpld3_load_lib(\"https://d3js.org/d3.v5.js\", function(){\n",
              "         mpld3_load_lib(\"https://mpld3.github.io/js/mpld3.v0.5.1.js\", function(){\n",
              "                 \n",
              "                 mpld3.draw_figure(\"fig_el1071401447505093047747148062\", {\"width\": 432.0, \"height\": 288.0, \"axes\": [{\"bbox\": [0.125, 0.125, 0.775, 0.755], \"xlim\": [737042.625, 737441.375], \"ylim\": [996.5235076904297, 1382.5464996337892], \"xdomain\": [[2018, 11, 14, 15, 0, 0, 0.0], [2020, 0, 17, 9, 0, 0, 0.0]], \"ydomain\": [996.5235076904297, 1382.5464996337892], \"xscale\": \"date\", \"yscale\": \"linear\", \"axes\": [{\"position\": \"bottom\", \"nticks\": 7, \"tickvalues\": null, \"tickformat_formatter\": \"\", \"tickformat\": null, \"scale\": \"linear\", \"fontsize\": 10.0, \"grid\": {\"gridOn\": true, \"color\": \"#FFFFFF\", \"dasharray\": \"none\", \"alpha\": 1.0}, \"visible\": true}, {\"position\": \"left\", \"nticks\": 10, \"tickvalues\": null, \"tickformat_formatter\": \"\", \"tickformat\": null, \"scale\": \"linear\", \"fontsize\": 10.0, \"grid\": {\"gridOn\": true, \"color\": \"#FFFFFF\", \"dasharray\": \"none\", \"alpha\": 1.0}, \"visible\": true}], \"axesbg\": \"#E5E5E5\", \"axesbgalpha\": null, \"zoomable\": true, \"id\": \"el107140144749953712\", \"lines\": [{\"data\": \"data01\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144750509696\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data02\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753982152\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data03\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144754008528\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data04\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144754010264\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data05\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144754012000\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data06\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753788520\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data07\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753790256\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data08\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753837112\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data09\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753838848\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data10\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753984008\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data11\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753985744\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data12\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753987480\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data13\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753972896\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data14\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753974632\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data15\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753914992\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data16\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144753916728\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data17\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752824896\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data18\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752826632\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data19\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752828368\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data20\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752899800\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data21\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752901536\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data22\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752735400\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data23\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752737136\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data24\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752870008\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data25\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752871744\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data26\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752717896\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data27\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752719632\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data28\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752721368\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data29\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752915680\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data30\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752917416\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data31\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752198320\", \"color\": \"#FF0000\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data32\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752200056\", \"color\": \"#007F00\", \"linewidth\": 0.5, \"dasharray\": \"none\", \"alpha\": 1, \"zorder\": 2, \"drawstyle\": \"default\"}, {\"data\": \"data33\", \"xindex\": 0, \"yindex\": 1, \"coordinates\": \"data\", \"id\": \"el107140144752418944\", \"color\": 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              "            })\n",
              "         });\n",
              "}\n",
              "</script>"
            ],
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fHdOIfvxviOp",
        "outputId": "531c3bc0-695d-4df2-a9e2-85180517db4a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!pip install mpld3\n",
        "import mpld3\n",
        "mpld3.enable_notebook()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: mpld3 in /usr/local/lib/python3.6/dist-packages (0.5.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from mpld3) (3.2.2)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.6/dist-packages (from mpld3) (2.11.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->mpld3) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->mpld3) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->mpld3) (1.2.0)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.6/dist-packages (from matplotlib->mpld3) (1.18.5)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->mpld3) (2.8.1)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from jinja2->mpld3) (1.1.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from cycler>=0.10->matplotlib->mpld3) (1.15.0)\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}