pie_chart_news_distribution.ipynb

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  "metadata": {
    "colab": {
      "name": "pie-chart-news-distribution.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MohammadMazraeh/realtime-crypto-analysis/blob/master/pie_chart_news_distribution.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "4SJR9YMaH7-t",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "**DISTRIBUTION OF NEWS ARTICLE AND SENTIMENTS IS STUDIED.**"
      ]
    },
    {
      "metadata": {
        "id": "vjYpy7ZIQayD",
        "colab_type": "code",
        "outputId": "52fbeb06-919a-4c58-c5dc-33f89f3e62c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 189
        }
      },
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('drive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "lUV_UGmqQyTe",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import json\n",
        "import pandas as pd\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "import glob\n",
        "from datetime import datetime, timedelta\n",
        "plt.rcParams['axes.facecolor'] = 'white'\n",
        "#plt.rcParams[\"figure.edgecolor\"] = 'b'\n",
        "plt.rcParams[\"axes.edgecolor\"] = \"black\"\n",
        "plt.rcParams[\"axes.linewidth\"] = 1"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "wAJYsqrYQ8Uw",
        "colab_type": "code",
        "outputId": "835c160e-a95a-4c31-a642-adbf66d3d5dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 567
        }
      },
      "cell_type": "code",
      "source": [
        "df1 = pd.read_csv('/content/drive/My Drive/data_2019_analysis.csv')\n",
        "df1 = df1.drop('Unnamed: 0', 1)\n",
        "df1.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>web_url</th>\n",
              "      <th>content</th>\n",
              "      <th>headline</th>\n",
              "      <th>document_type</th>\n",
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              "      <th>section_name</th>\n",
              "      <th>author</th>\n",
              "      <th>word_count</th>\n",
              "      <th>content_no_stopwords</th>\n",
              "      <th>SENTIMENT_VALUE</th>\n",
              "      <th>SENTIMENT</th>\n",
              "      <th>relevance</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.nytimes.com/2019/01/02/world/europ...</td>\n",
              "      <td>halmstad, sweden — maria hussein, who escaped ...</td>\n",
              "      <td>Where Doulas Calm Nerves and Bridge Cultures D...</td>\n",
              "      <td>article</td>\n",
              "      <td>2019-01-02T22:17:38+0000</td>\n",
              "      <td>The New York Times</td>\n",
              "      <td>World</td>\n",
              "      <td>CHRISTINA ANDERSON</td>\n",
              "      <td>1326</td>\n",
              "      <td>halmstad, sweden — maria hussein, escaped war ...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Very Positive</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.nytimes.com/2019/01/02/us/politics...</td>\n",
              "      <td>voting rights and partisan gerrymandering, tra...</td>\n",
              "      <td>Voting Issues and Gerrymanders Are Now Key Pol...</td>\n",
              "      <td>article</td>\n",
              "      <td>2019-01-02T17:00:47+0000</td>\n",
              "      <td>The New York Times</td>\n",
              "      <td>U.S.</td>\n",
              "      <td>TRIP GABRIEL</td>\n",
              "      <td>1779</td>\n",
              "      <td>voting rights partisan gerrymandering, traditi...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Very Positive</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.nytimes.com/2019/01/02/world/asia/...</td>\n",
              "      <td>new delhi — two women, accompanied by plainclo...</td>\n",
              "      <td>2 Indian Women Enter Sabarimala Temple, Settin...</td>\n",
              "      <td>article</td>\n",
              "      <td>2019-01-02T12:37:37+0000</td>\n",
              "      <td>The New York Times</td>\n",
              "      <td>World</td>\n",
              "      <td>KAI SCHULTZ and AYESHA VENKATARAMAN</td>\n",
              "      <td>778</td>\n",
              "      <td>new delhi — two women, accompanied plainclothe...</td>\n",
              "      <td>-0.8</td>\n",
              "      <td>Very Negative</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.nytimes.com/2019/01/01/us/politics...</td>\n",
              "      <td>good tuesday morning and happy new year. here ...</td>\n",
              "      <td>On Politics: Elizabeth Warren Is Running for P...</td>\n",
              "      <td>article</td>\n",
              "      <td>2019-01-01T05:18:48+0000</td>\n",
              "      <td>The New York Times</td>\n",
              "      <td>U.S.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>419</td>\n",
              "      <td>good tuesday morning happy new year. stories m...</td>\n",
              "      <td>0.9</td>\n",
              "      <td>Very Positive</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://www.nytimes.com/2018/12/31/world/asia/...</td>\n",
              "      <td>tokyo — kim jong-un, north korea’s leader, sai...</td>\n",
              "      <td>Kim Jong-un, Ready to Meet Trump ‘at Any Time,...</td>\n",
              "      <td>article</td>\n",
              "      <td>2019-01-01T01:44:15+0000</td>\n",
              "      <td>The New York Times</td>\n",
              "      <td>World</td>\n",
              "      <td>MOTOKO RICH and DAVID E. SANGER</td>\n",
              "      <td>1319</td>\n",
              "      <td>tokyo — kim jong-un, north korea’s leader, sai...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Very Positive</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                             web_url  \\\n",
              "0  https://www.nytimes.com/2019/01/02/world/europ...   \n",
              "1  https://www.nytimes.com/2019/01/02/us/politics...   \n",
              "2  https://www.nytimes.com/2019/01/02/world/asia/...   \n",
              "3  https://www.nytimes.com/2019/01/01/us/politics...   \n",
              "4  https://www.nytimes.com/2018/12/31/world/asia/...   \n",
              "\n",
              "                                             content  \\\n",
              "0  halmstad, sweden — maria hussein, who escaped ...   \n",
              "1  voting rights and partisan gerrymandering, tra...   \n",
              "2  new delhi — two women, accompanied by plainclo...   \n",
              "3  good tuesday morning and happy new year. here ...   \n",
              "4  tokyo — kim jong-un, north korea’s leader, sai...   \n",
              "\n",
              "                                            headline document_type  \\\n",
              "0  Where Doulas Calm Nerves and Bridge Cultures D...       article   \n",
              "1  Voting Issues and Gerrymanders Are Now Key Pol...       article   \n",
              "2  2 Indian Women Enter Sabarimala Temple, Settin...       article   \n",
              "3  On Politics: Elizabeth Warren Is Running for P...       article   \n",
              "4  Kim Jong-un, Ready to Meet Trump ‘at Any Time,...       article   \n",
              "\n",
              "                   pub_date              source section_name  \\\n",
              "0  2019-01-02T22:17:38+0000  The New York Times        World   \n",
              "1  2019-01-02T17:00:47+0000  The New York Times         U.S.   \n",
              "2  2019-01-02T12:37:37+0000  The New York Times        World   \n",
              "3  2019-01-01T05:18:48+0000  The New York Times         U.S.   \n",
              "4  2019-01-01T01:44:15+0000  The New York Times        World   \n",
              "\n",
              "                                 author  word_count  \\\n",
              "0                    CHRISTINA ANDERSON        1326   \n",
              "1                          TRIP GABRIEL        1779   \n",
              "2   KAI SCHULTZ and AYESHA VENKATARAMAN         778   \n",
              "3                                   NaN         419   \n",
              "4       MOTOKO RICH and DAVID E. SANGER        1319   \n",
              "\n",
              "                                content_no_stopwords  SENTIMENT_VALUE  \\\n",
              "0  halmstad, sweden — maria hussein, escaped war ...              1.0   \n",
              "1  voting rights partisan gerrymandering, traditi...              1.0   \n",
              "2  new delhi — two women, accompanied plainclothe...             -0.8   \n",
              "3  good tuesday morning happy new year. stories m...              0.9   \n",
              "4  tokyo — kim jong-un, north korea’s leader, sai...              1.0   \n",
              "\n",
              "       SENTIMENT  relevance  \n",
              "0  Very Positive          1  \n",
              "1  Very Positive          1  \n",
              "2  Very Negative          1  \n",
              "3  Very Positive          1  \n",
              "4  Very Positive          1  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "metadata": {
        "id": "_EcsbGotRQPz",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "news_type = df1.groupby('section_name').agg('count')\n",
        "sentiment_type = df1.groupby('SENTIMENT').agg('count')\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "iKGu4ZjLS7iv",
        "colab_type": "code",
        "outputId": "40a05de4-d221-438e-d43c-62166a653a59",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "cell_type": "code",
      "source": [
        "sentiment_type"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>web_url</th>\n",
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              "      <th>section_name</th>\n",
              "      <th>author</th>\n",
              "      <th>word_count</th>\n",
              "      <th>content_no_stopwords</th>\n",
              "      <th>SENTIMENT_VALUE</th>\n",
              "      <th>relevance</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SENTIMENT</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Negative</th>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>92</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
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              "    <tr>\n",
              "      <th>Neutral</th>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Positive</th>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>68</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Very Negative</th>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1272</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "      <td>1302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Very Positive</th>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1676</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "      <td>1760</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               web_url  content  headline  document_type  pub_date  source  \\\n",
              "SENTIMENT                                                                    \n",
              "Negative            98       98        98             98        98      98   \n",
              "Neutral             11       11        11             11        11      11   \n",
              "Positive            70       70        70             70        70      70   \n",
              "Very Negative     1302     1302      1302           1302      1302    1302   \n",
              "Very Positive     1760     1760      1760           1760      1760    1760   \n",
              "\n",
              "               section_name  author  word_count  content_no_stopwords  \\\n",
              "SENTIMENT                                                               \n",
              "Negative                 98      92          98                    98   \n",
              "Neutral                  11      11          11                    11   \n",
              "Positive                 70      68          70                    70   \n",
              "Very Negative          1302    1272        1302                  1302   \n",
              "Very Positive          1760    1676        1760                  1760   \n",
              "\n",
              "               SENTIMENT_VALUE  relevance  \n",
              "SENTIMENT                                  \n",
              "Negative                    98         98  \n",
              "Neutral                     11         11  \n",
              "Positive                    70         70  \n",
              "Very Negative             1302       1302  \n",
              "Very Positive             1760       1760  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "metadata": {
        "id": "GZzavaCQSydh",
        "colab_type": "code",
        "outputId": "2e4d90d0-6f4d-429d-e4b2-c1ea3d27af01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 266
        }
      },
      "cell_type": "code",
      "source": [
        "news_type"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>web_url</th>\n",
              "      <th>content</th>\n",
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              "      <th>content_no_stopwords</th>\n",
              "      <th>SENTIMENT_VALUE</th>\n",
              "      <th>SENTIMENT</th>\n",
              "      <th>relevance</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>section_name</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Business</th>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>340</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "      <td>371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Business Day</th>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>212</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "      <td>231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Technology</th>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>159</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "      <td>162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>U.S.</th>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1313</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "      <td>1380</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>World</th>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1066</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "      <td>1068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Your Money</th>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              web_url  content  headline  document_type  pub_date  source  \\\n",
              "section_name                                                                \n",
              "Business          371      371       371            371       371     371   \n",
              "Business Day      231      231       231            231       231     231   \n",
              "Technology        162      162       162            162       162     162   \n",
              "U.S.             1380     1380      1380           1380      1380    1380   \n",
              "World            1068     1068      1068           1068      1068    1068   \n",
              "Your Money         29       29        29             29        29      29   \n",
              "\n",
              "              author  word_count  content_no_stopwords  SENTIMENT_VALUE  \\\n",
              "section_name                                                              \n",
              "Business         340         371                   371              371   \n",
              "Business Day     212         231                   231              231   \n",
              "Technology       159         162                   162              162   \n",
              "U.S.            1313        1380                  1380             1380   \n",
              "World           1066        1068                  1068             1068   \n",
              "Your Money        29          29                    29               29   \n",
              "\n",
              "              SENTIMENT  relevance  \n",
              "section_name                        \n",
              "Business            371        371  \n",
              "Business Day        231        231  \n",
              "Technology          162        162  \n",
              "U.S.               1380       1380  \n",
              "World              1068       1068  \n",
              "Your Money           29         29  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "metadata": {
        "id": "vDJNgOC0RrRy",
        "colab_type": "code",
        "outputId": "a9a0096d-79b8-4dfd-d830-10e881bf8b67",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        }
      },
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.cm as cm\n",
        "import matplotlib as mpl\n",
        "from matplotlib.gridspec import GridSpec\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "\n",
        "section_name_labels = sentiment_type.section_name.sort_values().index\n",
        "section_name_counts = sentiment_type.section_name.sort_values()\n",
        "\n",
        "SENTIMENT_labels = news_type.SENTIMENT.sort_values().index\n",
        "SENTIMENT_counts = news_type.SENTIMENT.sort_values()\n",
        "\n",
        "\n",
        "plt.figure(1, figsize=(12,8))\n",
        "the_grid = GridSpec(2, 2)\n",
        "\n",
        "\n",
        "cmap = plt.get_cmap('viridis')\n",
        "colors = [cmap(i) for i in np.linspace(0, 1, 8)]\n",
        "\n",
        "explode = (0.4, 0.2, 0.1, 0.01,0.0)\n",
        "\n",
        "\n",
        "section_pie = plt.pie(section_name_counts, labels=section_name_labels, autopct='%1.1f%%', shadow=False, colors=colors,explode=explode,textprops={'color':\"black\",'fontsize': 14})\n",
        "\n",
        "\n",
        "plt.suptitle('Distribution of News article', fontsize=20,weight=\"bold\")\n",
        "\n",
        "\n",
        "plt.show()\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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iIiKSMwoaIiIikjMKGiIiIpIzChoiIiKSMwoaIiIikjMKGiIiIpIzChoiIiKSMwoaIiIi\nkjMKGiIiIpIzChoiIiKSMwoaIiIikjMKGiIiIpIzChoiIiKSMwoaIiIikjMKGiIiIpIzChoiIiKS\nMwoaIiIikjMKGiIiIpIzChoiIiKSMwoaIiIikjMKGiIiIpIzChoiIiKSMwoaIiIikjMKGiKtMMY8\nYoz5ddR1iIh0VQoagjHmCWPM31q47xRjzDZjzKgc11BijLHGmH9luO8iY8xTudx+2rYGGWO+mvrd\nWnuytfZHHbFtEZF8pKAhANcD5xpj+mW472Lg39bapR1Uy1HGmDM7aFuZnAR8dadLiYhImyhoCMA9\nQC3whfQbjTGDgbNwQQRjTIExZqYxZr4xZpMx5lVjzElpy9cYY35mjHnXGHNj+HN6s3X+1hjz71Zq\n+SHwW2NM75YWMMYcYIx5zBiz2hiz0hjzF2NMcdr9Pw3vW2GM+YEx5n5jzNXhfcYY8ytjzAJjzAZj\nzJvGmDPC+84H7gAONcbUGmMmGWOeMsZcbYw51Riz2RjTN207/cPlpoS/f8MY83b42gTGmPNaf9lF\nRPKfgoZgrd0CVONaL9KdD6wAHg5//y5QDpwODAT+DNxnjBmS9pgLwvu/AlQBU1N3GGMM8Dng5lbK\nuQlYDPws053GmD5hPU8DI4FDgcOAmeH9nw0fezYwAdgTOCZtFVOBrwEnAAPC53C7MWaQtfY24FfA\nK9baYmvtvLTHPQZsAk5Ju+10YB3wuDHm7PCxFwH9gcuBKmPMvq08VxGRvKegISnXA8cYY/ZJu+0i\n4CZrbX34+yXANdbawFq7zVp7HfA+8Pm0xzxsrZ1nrbW48HJw2s72CFxAua+lIsLHfRO41BgTy7DI\n6UCRtfaX1tqt1tqFwJVhrQCnAY9aa5+21m4Cvg/0THv8rcBEa22NtbYBuA3oC7QaCKy124B7cQEm\n5XPAP6y1deFrc5O19kVrbb219gFgFjCttfWKiOQ7BQ0BwFr7NvBfwh22MWYyUArckLbY3kBl2F1Q\na4ypBWLAuLRlFqStswbX8lAe3nQOcE8YAFqrZS5wLfCnDHfvDQxtVsOtwDBjTC9gFFCTtq4NwNtp\nj+8bPoel4WOXhLf3aq2m0J3A6caYHmFXzanA7Wl1XdqsrlOAsW1Yr4hI3lLQkHTXA9OMMQW4wPGo\ntXZB2v2bgfKwWyF1KbLW/jRtmbpm6/w7cH7YbXIOrXebpJsJeMaYC5vdvhkImtVQbK3tGXYBFQDb\nmj2mIe36H4EjgROB3rjul7Z6PFzXCcDJwBrg2bS6fprhtSlvYV0iIt2CgoakuxM3buF43PiM65vd\nPx84MP0GY0zJTtb5D2A4rmuhGHiiLYVYa9cDceBqXHdLeg0lxpgBaTUMNsakllmOG5uRuq8vsF/a\n448Abg67fyyu1aZNwi6SfwKfwXWb3BmuI1VX89dmfBjaRES6LX0IynbW2o24boj/xY1raD6nxZ+B\nbxhjjjXGFIaHob5ljPFaWecG3FEtVwG3heMi2lrPncAbwA/Sbp4FLAUSxpiBxpjhuFaS34f3PwGc\nYow5Mjxy5X+BLWmPfx84zBhTZIw5FPhWeP+Y8P7NwB7GmKFhV0xzd+K6RE7Fje9I+TPuEOGzwq6V\no4HXgE+09fmKiOQjBQ1p7nrct/6/hwMg090E/BZ3COh64BfA+dbaYCfr/DuuVaJ6F+r5FjA09UvY\nqnAWsBcucLyJa8X4drjIzcB1uKNE3gXmAu/Q2H3yQ2AfXLfH74AZuKNjrjfGnIYb8NkALMS9Ds09\nEdazzlr7clpdTwCXAQnca3Mj8H1r7eO78JxFRPKGaWz5FckNY0w58F1r7eEdtL1e4XiN1O8B8Cdr\n7W87YvsiItJILRqSU+Hhsv+DOwS1I7Z3HLDGGHNU2L0zFXdEyCMdsX0REWmqR9QFSP4yxvwFN8fG\nNdbaf3bENq21zxpjfoQbazIC+AC4wFr7TkdsX0REmlLXiYiIiOSMuk5EREQkZxQ0REREJGcUNERE\nRCRnFDREREQkZxQ0REREJGcUNERERCRnFDREREQkZxQ0REREJGc0M6hIDsT8RC+gf9qlD1AE9Gr2\nsydQB2wCNrb0M+nHm5/gTkSkS9DMoCLtEPMTw4DxwITwZ/r14cAAXLDomeVN19E0gKwHFgMLcGea\nXZB2+Sjpx/WPLSKdgoKGSJqYnxgEHAiUsGOgGI9rmejstgCLyBxC5iX9+OIIaxORbkZBQ7qtmJ8Y\nDJQ2u+wVaVEdYxkwB3g59TPpx5dEW5KI5CsFDekWYn5iCDuGij0jLapzWcqO4eOjaEsSkXygoCF5\nKeYn9gWmAMfiQkVJpAV1TUtwweNF4FFc+GiItiQR6WoUNCQvxPxEf+Ak4JTwMiHaivLSSuAR4CFg\nVtKPr4i4HhHpAhQ0pMuK+YmDaAwWx5D9Iz2kZQ24LpaHwsuLau0QkUwUNKTLCAdvfhoXLKYAo6Ot\nSNJ8TNPWjuUR1yMinYSChnRqYZfIucA04DigMNqKpA0srrXjNuCWpB9fFnE9IhIhBQ3pdGJ+ogD4\nFC5cfJauMXeFZFYHzAL+Btyf9ONboi1HRDqagoZ0GjE/sR/wJeBCYEzE5Uj2rQZuB/6e9OOzoy5G\nRDqGgoZEKuYnhgIX4FovDou4HOk4SaAKqE768Q+jLkZEckdBQzpczE/0BM7AhYvT0dEi3VkD8ATw\nd+CepB/fFHE9IpJlChrSYWJ+oh/wVeAyYFzE5Ujnsxb4M/BbzUoqkj8UNCTnYn5iJHAp8A1gUMTl\nSOe3Bdet8pukH3836mJEZPcoaEjOxPzEPsD3cV0kvSIuR7qeBuCfwP8m/fhLURcjIrtGQUOyLuYn\njgB+CJwNFERcjuSHJ4Grkn784agLEZH2UdCQrIj5CQOcBvwAOD7iciR/vQ5cBdyR9OP1URcjIjun\noCG7JQwYFwAzgP0jLke6jxrg/4C/Jv14bcS1iEgrFDRkl8X8xIm4D/tDIy5Fuq8FwIykH7896kJE\nJDMFDWm3cJDnb4Czoq5FJPRfIJ704/+NuhARaUpBQ9os5ieGADNxh6lqki3pjG7HtXAsiLoQEXEU\nNGSnYn6iCPg28FNgcMTliOxMLXANcGXSj6+PuhiR7k5BQ1oV8xPnAP8L7B11LSLttAz4OXCDjlAR\niY6ChmQU8xOH4wZ6Hhd1LSK76Q1getKPPxZ1ISLdkYKGNBHzE4OBStzp2k3E5Yhk07+B7yb9+PtR\nFyLSnShoyHYxP3EGcB0wKupaRHJkE/AT4HdJP94QdTEi3YGChhDzE4Nwg+e+FHUtIh3kBeDLST+e\njLoQkXynoNHNxfzEacD1wOioaxHpYFuAK3Bnia2LuhiRfKWg0U3F/MRAIAFcHHUtIhF7BZiW9ONv\nRV2ISD5S0OiGYn7iFFwrxtioaxHpJGqBHwPXJP24PhRFskhBoxuJ+YkBuCNKvhJ1LSKd1BPARUk/\nvijqQkTyRUHUBUjHiPmJTwNvopAh0ppPAm/E/ER51IWI5Au1aOS5mJ8oBH4NfD/qWkS6mNuB/5f0\n4xujLkSkK1PQyGMxP7EHcAdwfNS1iHRRbwCfTfrx96IuRKSrUtdJnor5iROAV1HIENkdBwAvhQOo\nRWQXqEUjD8X8xA+AK4HCqGsRyRMNuBO0XamjUkTaR0Ejj8T8RD/g78Dnoq5FJE/9E/iSTj8v0nYK\nGnki5if2Au4D9o+6FpE89w5wdtKPz4u6EJGuQGM08kDMT5wEvIRChkhH2Bd4MeYnPhN1ISJdgVo0\nuriYn7gMuBqNxxDpaBb4BXCFxm2ItExBo4uK+YkewLXAl6OuRaSbux+YmvTj66IuRKQzUtDogmJ+\nohi4Czgj6lpEBHCHkp+S9OPLoy5EpLNR0OhiwvOV3I/mxxDpbOYBn0768YVRFyLSmShodCExPzEc\neBg4NOpaRCSjRbiwEURdiEhnoaNOuoiYnxgHPItChkhnNg54NuYnDom6EJHOQkGjC4j5CQ94HvCi\nrkVEdmo48GTMTxwXdSEinYGCRicX8xOH4loyxkVdi4i02UBgVsxPnBp1ISJRU9DoxMIToz2J+4Yk\nIl1Lb+C+mJ84L+pCRKKkoNFJhbMOPgwMiLoWEdllPYFbY37ia1EXIhIVBY1OKOYnLgTuAYqjrkVE\ndlsB8JeYn5gRdSEiUdDhrZ1MzE98HrgdhUCRfPSzpB//VdRFiHQkBY1OJOYnPg08ABRFXYuI5MzX\nk3782qiLEOkoChqdRMxPHAE8AfSNuhYRyakG4LykH/9H1IWIdAQFjU4g5if2xR3COjTqWkSkQ2wF\nTkv68cejLkQk1xQ0IhbO+Pk8midDpLtZD3wi6cfnRF2ISC4paEQo5ieG4VoyYlHXIiKRWAEcm/Tj\n86IuRCRXdGRDRGJ+oh/wIAoZIt3ZcOCRmJ8YHXUhIrmioBGBmJ8oAu4FDo+6FhGJ3ATcdOWDoy5E\nJBcUNDpYzE8UALcAJ0Vdi4h0GvsDD8T8RO+oCxHJNgWNjvdn4NyoixCRTudo4B8xP9Ej6kJEsklB\nowPF/MTlwFejrkNEOq3TcF9GRPKGjjrpIDE/cSLwGFAYcSki0vldkvTjf426CJFsUNDoADE/MQZ4\nBRgRdS0i0iVswR32+nLUhYjsLgWNHAuPMHkaODLqWiQ7lj98L6tnP4M3sxKATTXzWfHYA2xdsYwe\n/Qcy+MjjGXTY0Rkfa20Dq559nLWvvUjdxg0UDR3OsE+cQr999gNgzZwXWPnEg5jCQkaefi79vP23\nP3bzhwv46N7bmPD1yyno0TP3T1SitgAoTfrxj6MuRGR3aIxG7l2DQkbeqP1oMevmNk7kWLdhHYtv\nu4EBBx3O3t+7gj3OOo8Vjz3AxvnvZHz86heeYc3L/2H0eRezzw9+xcCDDmPJnX9j27o11NduZsXj\n/2bCJXFGn3cxy/79D1JfBGxDPcseuIuRp5+jkNF9TABuDY9UE+my9AbOoZifmAZ8I+o6JDusbWDZ\nA3cx+KgTtt+2bu4cegwawuDDj6GgZxG9x+3JgANLWfPyC5lXUmAYfvKZFI8cjSksZNARxwFQu3gh\nW1cuo2jwUHoOGkLvMROw9Q3Ub1wPwKr/PEWvUWPos+c+uX6a0rmcDFwRdREiu0NBI0difuJg4C9R\n1yHZs+blFyjoWcSAAw7dflvt0g8pHjW2yXLFo8ZSu2RhxnUMOfIEBux/yPbf6zeux9bX06P/QMA0\nWdbaBsCwdfXHrHn5P/Tf9yAW3vR7FtzwWzbMeztrz0s6vZ/E/MQZURchsqsUNHIgnOHvbkCT7+SJ\nug3r+fjpRxh5etMpUOo3baSwuOmfuaB3H+o3bdzpOm1DAx/96w767DWJ3mMnUDR8JNtWr2LrqhVs\nqplPYa9ievTrz7J//4NhnzyVFY89wLCTTmf0udP46P47sfX1WX2O0mkZoDrmJ/aOuhCRXaGgkWUx\nP2FwM3/uFXUtkj3LH7mPQYceSdGwTAcOtX9AdcO2rSy+40bqNqxn9DnlABT2Kmb4p89g4Y2/Z+m9\ntzHyjM+78SDW0m/SZOrWr6XP+L3oOXAwPfr1Z+vKZbv5rKQLGQTco5lDpSvSDHTZNxM4NeoiJHs2\nvj+P2sUL2ePM83a4r7BvP+o3b2pyW/2mjRT27d/i+uo3b+LDm6+loHcfxn3pmxT2Kt5+38BDyhh4\nSFm43EZqrq1k3Je+ScOWWgqKem1frqCoiPottbv71KRrORC4FpgWdSEi7aGgkUUxP3Ea8POo65Ds\nWvfGHOrWreX9yl8AqbETMP+qnzH4qBNYN7fpVAe1ixdSPHZCxnU11NXx4a1/pefQ4Yw6+3xMQcvz\nt6145H4GHXY0RYOHUl+7mYbazdvvq9+0qUnwkG6jPOYn/pv043+KuhCRtlLXSZbE/MRQ4Eaaj+iT\nLm/EyWex53d+xISvX86Er1/O2AsvAWDC1y9nwAGHUrd+HatffI6Gum1sqpnPujdeYfARxwKwefEC\nPvhDBQ3btgKw+oWnoKF+pyFjU818apd+yJCjTwSgsLg3PQYMZOP8d9iybAl1G9fTa/jInD5v6bQS\nMT8xOeoiRNpKLRrZ83tAn/x5qLB3Hwp792m8ocG1aPQcMAiAMRdcwvKH/8mKR/5FjwEDGXn6ufSZ\n4Mbt2W3b2Prxcgjnw1j76my2rV3Nu1f+qMk2hh7/aYYe/2m3+ro6lj14N3uc+cUmYWTk6eey9N7b\nsPX17r5C/ft2U0XATTE/cVTlDdfoAAAgAElEQVTSj2tEsHR6mhk0C2J+4mzgn1HXISLdyg+Tfvyq\nqIsQ2RkFjd0U8xNDgLeAPaKuRUS6lVrgkKQfT0ZdiEhrNEZj9/0WhQwR6XjFwI2aolw6O71Bd0PM\nT3wGmBp1HSLSbR0FXBZ1ESKtUdfJLgpn/3wLGBV1LSLSrW0GDkr68XejLkQkE7Vo7LprUMgQkej1\nBm4IZyUW6XQUNHZBzE+cjmbnE5HO4zjg21EXIZKJuk7aKeYnBuK6TMZEXYuISJqNwIFJP/5+1IWI\npFOLRvslUMgQkc6nL/BXdaFIZ6Og0Q4xP3E8cHHUdYiItOATwP+LugiRdOo6aaPwW8JLQGnUtYiI\ntGIZsE/Sj6+PuhARUItGe1yIQoaIdH4jgR9EXYRIilo02iDmJ4qBABgfdS0iIm2wCZiU9OOLoy5E\nRC0abXMZChki0nX0AX4VdREioBaNnYr5ieHAfGBA1LWIiLRDA+6ka3OjLkS6N7Vo7JyPQoaIdD0F\nwNVRFyGiFo1WxPyEB7wJ9Ii6FhGRXXRq0o8/HHUR0n2pRaN1V6GQISJd21U6lbxESW++FsT8xInA\nmVHXISKymw5AEw1KhNR1koEm5xKRPLMEN4nXpqgLke5HLRqZaXIuEckno4HvRV2EdE9q0Wgm5icK\ngXnAXlHXIiKSRRuAPZN+fGXUhUj3ohaNHZ2DQoaI5J9+wLeiLkK6HwWNHX0/6gJERHLkWzE/0Tvq\nIqR7UdBIEx5pcljUdYiI5Mhw4EtRFyHdi4JGU2rNEJF8F9e8GtKR9GYLxfzEZODUqOsQEcmxSWiO\nIOlAChqNvgeYqIsQEekAOtRVOowObwVifmI08AFQFHUtIiId5OikH38h6iIk/6lFw7kUhQwR6V7U\nqiEdotu3aMT8RH9gETAw6lpERDpQAzAp6cffi7oQyW9q0YCvopAhIt1PATA96iIk/3XrFo2Yn+gJ\nvA+MjboWEZEIbAbGa1pyyaXu3qLxBRQyRKT76g18M+oiJL9196Dx5agLEBGJ2NfCk0mK5ES3DRox\nPzEOODHqOkREIjYa+HTURUj+6rZBA7iQ7v38RURSLo66AMlf3XlHWx51ASIincRZMT8xeHdXUlZe\n2aOsvFLdMNJEj6gLiELMT5QC+0Vdh4hIJ9ELOB/40648uKy88nDcl7fzcGPf/p290qSr65ZBA7Vm\niIg0dxHtCBpl5ZUlwNTw4qXddQEKGpKm282jEfMTPYDFwIioaxER6SS2AQ8BX0z68c0tLVRWXjkY\nNy3AVOAYMp+IciMwYnb19E25KFS6nu7YojEFhQwREYDZQDVwR0uTdpWVVxYBp+PCxem4bpbW9AXO\nAm7LYp3ShXXHoKFuExHpzt4DbgFuTvrxd1taqKy88hjc5+XngSHt3MbnUNCQULfqOon5iYHAR0Bx\n1LWIiHSgVcAduHDxn5YWKiuv3AcXLi4E9tqN7W0Ahs2unr5lN9bR6Rljfgqcaq09JupaOrPu1qJx\nLgoZItI9bAEewHWNPJT041szLVRWXjkM+CIuYByRpW33Az6JG/eRNcaYGtx+a19r7fq020uAD6y1\nmcaMZJUx5jLgT9bardbaXwG/yvU2u7ruFjTUbSIi+cwCz+HCxV1JP74m00Jl5ZXFwJm4z8QpQM8c\n1HIWWQ4aoV7AFURw5lljzDCgEvgrkDG4yY66TddJOOX4AjKPkhYR6coCXLi4JenHazItUFZeaXCn\nXZiKa90dkOOalgJjZldPz9pOJmzRqAD+DzjSWvtGeHsJYYuGMWYw8DvgJNxzfAb4prW2Jlz2dNxh\nvMOAfwJJ4Gxr7WHh/V8EfgLsCawG/mytvdIYMwb4ABfKtgDfxp2U84xwW8uB06y1j6fV+zzwjLX2\nR8aYE4BfA/vjjsy5Afi5tbYhW69PZ9WdWjTOQCFDRPLHcuB2oDrpx19uaaGy8sr9aBx3Ma6DagMY\nBRwOvJjl9SaB3wJ/NsYcZ3f8tnwT7rP+AFyrw29xA1OPMsaMAu4Gfgr8HjfBWAIXIFKB5WbgLGvt\nv40xhwPPGWNestY+aow5GXgSGGat3WCM8QGstWuNMY8AZwOPh+saBRwFfNMYMxbXjXUpUAVMAh4E\nFgHXZvfl6Xy6U9A4LeoCRER202bgPlzrxSNJP16XaaGy8so9cBNnTQUO6bjydnAW2Q8a4MZFvIU7\nR8uNqRuNMSPCbR5grf04vO37wApjjAccBtQC11hr64AqY8zFQH8Aa22NMWa4tXZ1+PtLxpggfNyj\nO6npTuB/gO+Ev38WSFprXw9rCKy1qVrfNsb8DjdJmoJGPoj5iWLcwCQRka6mAfct+mbg7qQfX59p\nobLyyr64nVs5rim/M5xz5CxcN0RWWWs3GWMuBW4wxtybdlfqSJmXjWnSgF0PjMe1snwYhoyUF3Gv\nV8o3jDFfBsbgWkaK2PncIeAC4PXGmFJr7RzcIb63h/ftDRxijKlNW94Ay9qw3i6vWwQN4BNAn6iL\nEBFphzdwLRe3Jv344kwLhCcwOwkXLj6LmyyrM5lcVl45enb19CXZXrG19l/GmBeA/8W1JIBr8QGY\nYK3dYSdujDkENwtquoa0+78C/BgXEp6w1tYZY15tYz3rjDGzgLONMR8AJwDfSKvrEWvtqW17dvml\nuwQNdZuISFewBLgVN9/F6y0tVFZeeQiuW+R83Lf0zuxTuHEJufBd4E3CcRG4sRb1wIGEXR3GmAJg\nrLV2IW5cy1hjTEHaIMz0Q3qPAJ631j4SPnYAMLEd9dwJfB83Kdpca21qQrT5wLnp2w27edZba1uc\n8j1fdJegcXrUBYiItGADcA+u9eKJpB/PeBRCWXnlWNyAznJgcseVt9tyFjTCMRVX4o5CSbUq3ApU\nGGPm4bomfgxMNcbsAzyNm+X0m8aY63DnbZkMfBiu8n3gZGPMUKA3cDVuwOaY8P5UKPCMMckMJf0L\nuB53Btv0mVFvBa4EfGNMBe6Il3twA0J/vnuvQueX90Ej5icMLvVOCS/7RFuRiAj1uG/c1cC9ST+e\n8QRkZeWVA4BzcOHiBKCgwyrMnk/leP1X416f0eHv38UdUZJqEXoJOMNaWw98EA7+/A1uQOktuMNM\nPx0u+xfc67wAd/LN6cBw4I/GmOW4+TueB/4DzGxeiLV2fdh9chYuFKZuX22MOTOs9fs0ztT6yyw8\n/06vW8yjUVJVUVQzbcZWgJif2JPG0HES4WhjEZEO8AouXNyW9OMZBwKWlVf2AE7BdY2ciftm3dXF\nZldPD6IuAsAY0xOoSx0Wa4y5Fhhhrf1stJXlr7wPGiVVFR4wBzdqexYwq2bajHdh+ynjj6IxeJSi\nuTZEJLsW4r45Vyf9+DstLVRWXnkE7pv5ebhv0fnk67Orp0d+GKcxpi9uHMzPgT/g5tp4Avihtfb6\nKGvLZ90haHwb14yW7gPC0AE8UTNtxjqAmJ8YhmtCmwKcTOcfZCUindNa4C7cIanPJP14xg/asvLK\nPXEtF1Nxkzjlq9tnV08/P+oiAMJJtyoAD1iJGz/ih10rkgPdIWjci+sva0kd8AKNweOVmmkzGgBi\nfuJAGls7jqVtx1KLSPe0DXduj5uB+5N+vDbTQmXllYNxgxDLgaPpHq2oS2dXTx+988UkH+V10Cip\nqijEDbppz5z+K4HHaOxmWQoQ8xN9cOcJSAUPL6vFikhX9V/cuIs7kn7840wLlJVXFuFOgzAVdxRc\nUceV12mMn109fVHURUjHy/ejTkpp/4mDUqdM/iJASVXFG8As9mIW8HjNtBkPAsT8xASaDiodmK2i\nRaTTew/XcnFz0o/Pz7RAeBKzY3Dh4gvA4I4rr1M6HHeoqHQz+R40js7COg4IL98DNpVUVTxNGDxq\nps24DrguHFRaRmPwOIyueRiaiLQsdUhiddKPv9DSQmXllZNoPInZnh1UW1dwOG7uCOlm8j1oHJXl\n9fUBTg0vlFRVLKRpa8fzwM9jfmIo7tjx1KDSMS2sT0Q6ty24s25WAw8m/Xjz6asBKCuvHI5rBZ1K\n05kmpdHhURcg0cj3MRoLcCfS6Qj1wGwaB5W+lDaodH8aWzuOA4o7qCYRaT8LPIvrGrkr6cfXZFqo\nrLyyGDfQvBz3v53vX9x211pg8Ozq6fm705GM8jZolFRVjMbN7BaVVTQdVLoYIOYneuNmnku1duwX\nWYUiki6JCxe3JP14TaYFwnEXJ+LCxTm0fwxYd+fNrp4+L+oipGPlcwI/MuLtD8ENAPsCQElVxVs0\ndrM8VTNtxsMAMT8xDhc4puC6W7r7gDGRjrQcd06Km5N+/OWWFiorr5yMCxcXAOM6qLZ8dDigoNHN\n5HPQyPb4jN01ObxMBzaXVFU8Q+Og0huAG2J+ohD3j5jqZjkCKIyqYJE8tQm4Dzfu4tGkH6/LtFBZ\neeUeuGBRDhzcceXltcNxs6RKN5LPQSPqFo3W9KYxTFBSVfEhja0dj9VMm/Ff4IqYnxiMO3Q2tay+\nSYnsmgbcaQiqgXuSfnx9poXKyiv7Ap/DDeo8acOKBYWLXn2AjasXU1hYRP+RezP+sLMo6r1jj8mq\nBa+z5M3HqF3/Mb36DWHMgSczZPyBAKxe9CY1L92Drd/G2INOY8Skxu9BWzas4p1H/sjk0+L0LO6X\n9SfeyRwYdQHS8fJyjEZJVUVP3MCjrngyonrc2QZTg0pfrJk2ox4g5if2pTF0nEDXfH4iHekNXLi4\nNenHM47ZKiuvLMR1W5YDZwN9Aeq2bOK1e3/F2INOYcSkY6jfuon5z1RTWFTMpBO/3GQdm1Yv4a2H\nfsvE46YycHSMtUsC5j9XzeRTL6P3wD147Z5fsM8JF9GzuD9vPpjgoLN/TI8i9+8bPHE9QyYcxPC9\nu8XBKstmV0/fI+oipGPla4vG/nTdnXAhrjXmSNxpiNeUVFU8TmM3yzXANTE/UYw7giUVPPaPqmCR\nTmYJcCtuvou5LS1UVl55CC5cnA/ssPNraKhjwmFnbw8ABcX9GTz+AD5655kd1rX83f8ycNQkBo87\nAIDB4/ZnwB77sGL+bEZN/iS2oYF+wyYAUNx/KLVrl9Nv+AQ+rnmVhvq67hIyAEaWlVcOnV09PeMM\nqpKf8jVoHBB1AVk0CDe6/RyAkqqKJE0HlT4KfC/mJ8bQOKj007jBqCLdxQbgbtxRI08k/XhDpoXK\nyivH4SbSmoobM9Wiot4DtgcAay2165az8r2XGFqy43CNjas+ZOCopmcl6DtkLOs+ehfT7FQm1low\nULd1M4tefZCSwz9L8rG/UL9tCyP2OZLhE8va+py7onW4KQcUNLqRfA0a+XzIaCy8XApsKamqeJbG\n1o6bgJtifqIANztpqrWjjPz9W0v3VQ88ggsX9yb9+KZMC5WVVw4AzsW1XpxAO09itmn1Et56MIHF\nMnzikYw96NQdlqnbspEevZo2ovYo6kNd7UZ69u5PQY+erF/+Pj2L+7N14yp6DxzJwjn3M3ziESx7\n9z8M2+twBo+dzNwHrmLQ2P3oWdy/PSV2RkuAd3CHDG//Obt6+pJIq5JI5OvOJ5+DRrpeuL7lTwG/\nKamqWAI8ErZ2PFozbcYvgV/G/MRAmg4qnRBVwSJZMAc37uL2pB9flmmBsvLKnsApuJaLM9mNSfL6\nDB7NYRdcRe265dTMvpv3nruZicdP23HBVoa7lRxxDu89dwu2oZ7xpWexafUSNqysYfLhcV6922fi\nMVMpLCqm39DxbFi5kMFjW21s6SzqcOd8aR4okrOrp6/L1kamlM4cAOyL+4KV/vPsWXOueCdb25Hc\nydeg0SX+S3NgNHBReGkoqaqYQ2M3y79qps24ByDmJzwaQ8eJuKnVRTqzBbjDIm9O+vEWdy5l5ZVl\nuHDxRdwJErPCGEPvgSMZe8hpvDPr92zdvK7JkSc9i/tRt2Vjk8fUbdlIj/AokkFj9uXgz/0MgIb6\nOt56MEFJ2bkUFPagflstBT3dyVwLehRRvzXj2eWjtIFmLRPhz/mzq6dnnJJ9V0wpnTmGzIFiVAsP\n8cJapJPLu6BRUlXRGyiJuo5OoAB3zPrhwE+BtSVVFU/Q2M3yO+B3MT/RCziWxplKD4qqYJFm1gJ3\n4Vovnk368YxtBmXllXvhwsWFwKRsbXzVgtdZ8tYT7H9afPttxrheF1PQdHqbvkPGsXHVh01u2/Dx\nwu0DQNMtfetJ+o/Yk/4j3PnWCnsWU7d1Mz179aVuy0YKe/bK1lNor4/I3N3xYauPaocppTN7ABPZ\nMUx4tH+W1az9rSW38i5o4N64OnPqjgYCnw0vlFRVzKPpoNLHgR/E/MQeNA4qPZksfisUaYNtwEO4\ncHF/0o9vybRQWXllaubdcrJzluYd9Btewpb1K1k891FG7Xci9XW1LJ77CP2Gl9CzV1/m/quCkiPO\nZcAeExmxz5G8+WCCVQvfYNCYfVnz4VtsWP4BJUec02Sdm9etYOX7LzL5tOmN2xk2gdULXmfQ2Mls\n/HghfY88LxdPJ6UeeJ/M3R0Zz+myK6aUzuxHY4hIDxR7Az2ztJl9srQeybF8DBrdtdukvSaFl+8A\nW0uqKp6jMXhU10ybURXzEwY4lMZulqPI3oeESLoXcIM670j68YxHJJSVVxYBZ+DCxWlAUS4LKuoz\nEO+kr7Jwzr9Y8tZjFPYsZsDIiex55BcAqF23gvq6rQD0HrQHE48rZ9Gr/+a956op7j+ciSdcRHH/\npjm9ZvY/GHfIGdvn0AAYd+hneO/ZKj58/SHGHnQqRX2ycvqUjUDAjl0e786unr41GxsAmFI6cxQ7\ntk7EgLHZ2kYrukyLhjGmFvistfahDPcFQMJa+5eOr6xj5N2EXSVVFVcCP4q6ji7uI9xo/tSg0hUA\nMT/RH/gkjcFjr8gqlHwwn8ZxF/MzLRCexOwYXLj4PDoXUHPLydDdASzK1llSp5TOLMS1RGTq7hiU\njW3soqWz5lwxOlsrM8bUAGNwrT4AW4C3gJnW2kezuJ0S4Ahr7Z3ZWmdnl49B45+42f0kOyzwCo0z\nlb5QM23GNoCYn5hIY+j4BJD38yfLbvsYuAMXLl5oaaGy8spJuHBxIbBnB9XWWTUAH5BhQObs6umr\nsrWRKaUz++LCQ3qY2Bc3piKnrUe7yALFs+ZckZUWmjBoXG2t/UP4e2/g/wFXA4dYa9/O0nYuB46y\n1p6bjfV1BfnYdaJDN7PLAKXh5cfA+pKqiidpHFT6R+CPMT9RhOsrTwWPg2nnfAWSt7YA9+PGXTyU\n9OMZj1QoK68cjjtapBw3iLm72Uzm7o55s6unZxyrsiumlM4cSebujnF0rf9ZgzsiZUEuVm6t3Qz8\n3hjzVeAMY8x7wJW4OVlGAHOB71lrnwUwxnwJ9xk5FlgD3Aj83FprjTEW+AxuBuf/CZevxY2dC3Bh\nph74kbV2/PYnaMw+uLPdxoB3gZ/h/j9Gh4/7nrX28Vw8/2zKx6DREX2D3Vl/3LwEZwKUVFW8R+PY\njidqps14CvhRzE+MxM1QmhpUOiKaciUiFngWFy7uSvrxtZkWKiuv7A2chTtqZAr5+ZnU3Eoyd3cs\nyGJ3RwGuazNToMin7qfR5ChopCnEzRnyK9zcLJ8EPsSFivuNMXvizo9zI+49/DhuoOosYDbwQGpF\n1toKY0wM6Jdq0UgdyYSb2fb3xphSa+2c8LZzgNestYEx5jJcyDgdN6D3YuA+Y8x4a23WWrZyIa/+\nqUuqKnoBw6Ouo5vZG/hmeNlWUlXxHxqDxy0102bcHA4qPZjG1o5j0KDSfJXEhYtbkn484w6grLyy\nADd/SznuTKlZGf3YyTTgdoCZujtWZmsjU0pn9mbH7o4YbqBkZMfJdqCsjdFozhjTF/gyrpX8XtxE\ncd+x1r4X3v9LII4LH6/jjnbcYN14hHnGmL2ttRmnws/EWrvcGPM0rus/FTQ+B9wWXr8EuMZaG4S/\nX2eM+TZu7NK1u/5Mcy+vggZqzYhaT9wUzyfgmhiXl1RVPBqGjkdqps2oACpifqIfbkxHKnhMjKpg\nyYplwO24k5jNaWmhsvLK/XHh4gLy53+1Fte0nam7Y3O2NjKldOYwdjxUNIbbCXal7o5sy3bQSBhj\nrg6vb8Z1j0wBVuMGvm4fp2GtrQvHdZTg3v/XA88ZY17ADab/G7Condu/E/g28DNjzFhcl/Xnw/v2\nBirT6gMXbsa1cxsdTkFDcmkEbjDfhYAtqap4ncbWjlk102bcDxDzE3vRGDo+ieuekc5tE3AfrvXi\n0aQfr8u0UFl55ShcsCina08Gt4odw8Q7QM3s6ult/tbamrC7YwKZZ8ccmo1t5KGWZg3dVfHUYNB0\nxpjWTm1vw1aMrxpjrsK1SJwLzDDGfMJa+2I7tn838AdjzN64LpL/WmtTLYObga9ba+9ox/o6hXwL\nGp0+2XVjqe6Tg4EfAhtKqiqeonFQ6Z+BP8f8RA/cfB2p4FFK9/7G1pk0AE/g5ru4J+nH12daqKy8\nsh+uyXcq7hw7XWUCPQssJHN3x/JsbWRK6cxiXNdGpu6O3q08VHbUUWO/lgPrcX+rVwCMMcW41oz5\nxpgCYJC1dj5uYOfVxpgncQG7zUHDWrvSGPMUbuDo2biWkpT5wIG4o7YIayix1tbs8rPqIPkWNNSi\n0XX0w02+dAZASVXFBzQdVPos8NOYnxhG46DSKUBr3ywkN+biWi5uTfrxjGffLCuvLMSd3K8c9wHZ\nt+PKa7etuBH8qVaJVKAIZldPz3gG2F0xpXTmEDJ0d2zesqYkWPxIweoNCwEY0q8Eb+wUiot2bMhb\ntX4B85c8zvrNy+lZWMwegyczccxJFJgCNtZ+zNwP7mbTllXsMXg/Jk84c/vjGmwDs5N/ZdKYTzF0\nQF5Pd9MhMxdbaxuMMdW4VorncMHDx7XsPQycB1xljDnNWvuGMWY8bn90b4bVbQb2M8YMwp1Hprk7\nceerOixcb8qfcQHmIdwEd6cDtxljDk0bt9Ep5VvQUItG17Un8PXwUldSVfECjcHjjpppM24DiPmJ\nA2kMHcfSPQa8RWExcCtuvou5LS1UVl55KK7l4nw6XwhcQ+aTgb0/u3p6fWsPbKsppTMNMJ7M3R0Z\nB6a/+t7t9O89kuMmf4f6hjreqLmbtxc+wKETz2+y3Oata3n1vVuZOPqTHDbpS2ysXckr82+hqGdf\nSkYezXtLn2KPwZMZP+IIXgz+xsp18xk2wA13WrDsBfr1HpHvIQM69hQJ3wd+CzyPOxHlS8AJ1toN\nxpjbcX/zB40xw3BHFt0B/DHDem7Fda0sJHN34j3An4CnrbXpZye+CbePuwN35NA84PzOHjIgzybs\nKqmquBd3qJzkl5XAo7B9UOlSgJif6IM7eiEVPLyoCswT63EfctXAk0k/nnHsQVl55XjcuJupwH4d\nV16LFpG5u+OjbG1gSunMIjJ3d3i04+zH2+pqCRY/wsRRn9jegrF01Zu8vfABTjp4RpNl125czJJV\nc9l33Knbb3t74b/Zsm09h+z9RZ57648cvNcX6Nd7OPM+fJSePXqz5x7HsmnLal5+t4ojY5dQ1CPv\nT8wczJpzRSzqIqR1+daioQFT+WkY7hvz+QAlVRVzaWzteLxm2owHAWJ+YgKNoeMk3GQ40ro6XIir\nBu5L+vGMXQdl5ZUDcd/CpuKOKurocTPbcH3UzQdjBrOrp2dqft4lU0pnDmLHmTFjuBa3wlYe2iY9\nexSzf1oXB0DttnUU99zxCN+BfccwsO+YpstuXUtxkXtbm7Q/gcWS+pO8s+hB9hx5LMGiWWzcspJB\nfcfhjZ2SPl9DPtFJH7uAfAsa2rF0DweGl+8Dm0qqKp6mcVDpdcB14aDSMhqDx2F0nUGJHWEOLlzc\nlvTjGQc6lpVX9sTNEVCOG5xW3AF1rSNzd8d7s6unZzyyZVdMKZ05jszdHSOztY222Fi7kg+WPsu+\n40/b6bJLV73J6g0LOTJ2CQAD+o5m+dokxUUD+Hjd+8TGncLSVW9ibQP1DVsoKOjBkbFLmDP/Flas\nDRgxKC+/+A+eUjrTzJpzRf40zechBQ3p6voAp4YXSqoqFgCPhK0dj9VMm/E88POYnxiKG6yYCh45\nm+inE1uAO4lZddKPJ1taqKy88khcy8V55O4b4xJ2bJ1Izq6ennGw6a6YUjqzJ26GxkwnA4v8vDxr\nNy7h1fduY8LIIxk15IBWl1388WskFz3MQXudS99i13C796jjef39u6lZ9gKjhxxI/94jeXPBfRw2\nsZx5ix9j9FDX/T9swERWb1iYr0GjABeAszZniWRfvgWNfJxhUNpnAm4GvUuA+pKqitk0drPcVTNt\nxh0AMT+xP42h4zg65tt6FNYAd+EOSX026cczfvMrK6/cCxcupuJ2ztlQB7zHjq0TydnV09dlaRtM\nKZ05gMytE3vRST/jVq6bz9z372afMScxbvhhrS77/tJnWLDiRUonXsigfo3j3fv0GsJR+16y/fe3\nFtzP2GGl9CkeQl1DLYWF7jxohQVF1NVn7VQpnVFvFDQ6tU75T7grSqoqDAoa0lQh7kRvRwNXAKtK\nqioeo7Gb5f+A/4v5id64cQep4LFvVAVnyTbgQVzXyANJP55xL1NWXjkE12oxFfca7aoNZO7umD+7\nenrGE6jtiimlM8eQOVBke9KmnFqz8UPmfnA3+5eczYhBrY9fXrj8RRatnMMRky7e3pKRyar1C1i7\nacn2LpgeBb2oq6sFYFvdpu2hI0/l65eEvJE3QQPXFKo+eGnNEOAL4YWSqoq3aGzteKpm2oyHAWJ+\nYhxNB5V2lZNQvYALF3cm/fjHmRYoK6/shZu7ZCpwGu07/fdHZDgZ2Ozq6R/uTtHpppTO7IGbkj5T\nd0eX/yLRYBt4a8H97D3qxIwh4+V3qxgz9BBGDTmATVtW8+6Sxzl80kWthoyGhnreWfQgkyd8hgLj\nxqsO7DuWZWveYdjAiaxYO4/xI8py9pw6AQWNiISTi71srf1ea8vlU9Do8h9C0uEmh5fpwOaSqopn\naGzt+Cvw15ifKMSdsnBbCzAAACAASURBVDwVPI4gC0cfZNF8XLfIzUk//l6mBcrKKw1uzpFy3JEj\nrQWnetyZITN1d6zJVtFTSmf2x4WI5oFib/L4hHtrNy5iY+0K3l38GO8ufqzJfcfs9y02bVnNtjrX\nC7B01RvUN2zjxeDGJssVFw3i2Mnf2v77B8ueY0j/Egb1bZyvcNzww3j9g3/w9NxKRg7el5GDunoj\nXavycjbV8DwqPYB9rbXr024vAT6w1u72YUThGWH/ZK3durvranU7+TKPRklVxX7AW1HXIXnjQ9y8\nHalBpasBYn5iMK6VIxU8opgk7mPcpD3VST/+35YWKiuv9HDh4kLcVMnpNgIBzQZjAu/Orp6etQ+d\nKaUzR7HjoaL7AmNae5x0jNqta3l74YOs3fghBQU9GTHIwxtzMgUFO2bpmmX/YdGKOWyp20Bxz/6M\nHVZKycijAFi+JuCdRQ/S0FDHxNGfZNzw0u2P27xlDS/N+5ub16Nn3wZc197WZj8z3bazn6nrv5k1\n54rFuXh9ohQGjb5AtbV2etrtJWQhaIQTiy0HBlhrd+kQcbVoiOyescBXwkt9SVXFSzR2s/yzZtqM\nfwDE/MS+NIaOE8jdt6ta4AFc18hDST+ecexDWXnlCOCLuIBxGO6D5B1cYEpvpVg0u3p6Vr5lTCmd\nWYhricjU3TEoG9uQJiy7tkPe4edL8/5+ZnHRoBVH7fu1x7dsW1/w2vt3nrN5y5p5h048/4H0x75R\nc+9Ry1a/c7Y39uQrxww9aP57S5+eNG/xY79ct2npL/YvOeuJ1z+4677RQw6K9+k15KN3Fj34j8KC\nnseNHnrgx8DW597+w20FpsddRT373jhrzhVZmZG1G/kZ8H/GmJustW80v9MYMxj4He7LzwDgGeCb\n1toaY8yJwJNA/1SQMMb8DTfM4FLgA9zkKyvD083XATNw06Z/GzeFwBLgGuBM3Mku3wEutda+0J4n\nkU8tGifiXlSRXFsDuEGl7iy0iwBifqIYdwRLKnjsv5vbsbgPjpuBu5J+fG2mhcrKK4twHwqH41pY\n5tM4fmL1btaw3ZTSmX1x4aF568RE2jfWozNI7ayz/e0654+ZNeeKrMwnYow5DJgNjLTWrgxvOxe4\nDhhmrW1IW/Y43P7imbTbXsGdwfdaYK79/+3deZRU1YHH8e/tjWZfZBEUU6PEZUzAJYpx14xR4xpF\njVGfxIxRozGShOQ5Y1zGUctoXKNGGUcsjQtugIoL7sZlVFwJqBF8gGwCzd409HLnj/cairaBqu6q\nvlWvfp9z+jRdVf3q133orl/fd9+91vaPbn8HuNBa+7Yx5hTgHGvtobnIXGgOKzupnPD/fmX0vmZy\n0yM52c03GtEYCfwQOBA4wFpr00c0jDHjCcvCWYT/R24mPNXy/c0VDWvtiJb3G2NGEpaKO4BLCYvH\nJYS7Lx9A+HvvKuA0a+220fFeocRGNDQRVDpKL8K5DiMAEqlkOGIQjna8Gnj+ZOB3O19+4zaEvyQO\nJ9wYrk+Gx59OOHLxt08vHzV7Sw+OTnW8F7212+F7XjaAb45O7ExYYloO1za/YNZSYC/Im3tMrl6s\ni9yewJzmkhF5n3AOzw6EG88BYK19vfnfxpgq4MeElw9PJCxt6coBG20algQuMMa8QPgX8Z3W2o0m\nnUQv1s0v1Jm8z9dj2/I5LX8ehhBe0p1L/004LeBnwPrvnTGmP+GWG9+11i6JbhsNLDLGtHU7hh7A\ntdba+uh41wA3Nc8RMcY8DPzeGDPQWjs/04PGqWjEcn1dKQrNf+FfBNQlUsnXiRYNCzz/HuCenS+/\nsYzwVEbzaMc+bDypdCHwIOGkzikdmj4SbV++PeHQ6grgdcJt4Vt9wX5uyhU5u3RV2uewspPKyPIF\ntRd9v7+K5U2HlZ00ovm2fTm855s8xy7scf5hZSfNpcWL70f2zUOAPcupWDOE77492OwwGqh61T7Z\nbTez39vVdGmsoHLofhx5y6d8sH01XRpXUPPQ1gyu7c+2697i+TEHmmOu72SqK9OOG6c/EnP+mmqt\nrTXG/Bq4OxrBaNa8Y957LZaXbyTc6K8tP58rrLXpk74HADdFox/p0xOy2sxSRUMkt6oJRy8OA65L\npJLz2LBS6eTA868Ertz58ht7Ep5X3YfwxXzyp5ePcnr++rkpV9QB01xmcCl6sc73X8D5emzWL9Zb\nMYCG8LXokebbKqPXj670/HVrnzPM7EuTbWQxCzpPZ8oh1bYz/cwgduV7TOf94ZYmdmI3VrNi71Us\nZ1f24jWeZBj7dqswlfS0fVhBTe9+8V2YNy9XpFlrJxpj3gKuJTx9ARsWKftWi11eAYjKQbb5Wo70\nPRTdtqe1drYxZhjwYcbBIyoaIvk1iPA860igKZFKTmHDaZaJgec/7jBbwTqs7CRD+CLakS/YLi5b\nbiKc6FvX8U/cuGMda3YDxjXftoZV3YERZZhHCXfz/YYyU05/tmGu/XLfmUzr1o9Bz/c1AzmAowBo\ntA1lb/LccTsy7I0yU/Z1g60fWU75WIAG6g9cxYq5/RiU69MLhSJnl4C34kJgKvBi9PGXhKMXQwk3\nRsQYUwZsa62dzYb/U10IF9WD8JRYNsv87w2MjI4H4em2rKloiHScMsIJm3sRTrJaHq3dkbPluGNj\nbJt+n0kW1kztsbzhuk+7Trs20aNywFZ1AMsnvba1mVhdt+COf1u7MJyLAcCCq+86oHKb/jVbnXl8\n8xICLyw589G1wLaTmx45K/24xpg/Ag99bN86L/r4xy/y+GjbZJcYYyYtZdGdXzR9MqGDvszYiK4k\nuRr4c/TxCmPMA0DSGPM54enX/wBON8Z8mw1FZIQx5i7COWVD2FA0mkdEdjLGbGrvo5nAcGPMo4QT\nQk+Mbt8GCDLNrqIh4k5Pwl1RRTpc5+98m05DtmP5+BdP7HPGsTSuqmX161PoceT+GGNOm+vfwFZn\nHk/1LtvTZa/vsHzCS9t122/33aq2H0ztu1M7E5762+hqA2PMjoSTFndPu/lt4CRjzETCv5B/3lFf\nYwxdT3jpevO5pwuBW4GPoo/fBY621jYCC40xfwAuB64BUoSTzL8VPfYD4A3gTeAywpV/WzofGAP8\nO/Aq4dUt9wLPGWMy3rYgTpe3HgE84zqHiEixaFi6gpqxT1A3bQamUxXd9t+DXicfgSkrY9aZF9Nv\nlEeX3XbBWsvKZ//OiuffoGnlakzn6mVNK1ZdZa29Pv14xpiXCFeafDTttl0JT88MAC6x1v61Y79K\ncS1OReNIwo2kREQkv24OPP8i1yGkOMTpsqKcLJIiIiJbpN+3krE4FY02rdUuIiJZ6/CrZKR4xalo\ntHoploiI5JyulJKMxaloaERDRKRjqGhIxuJUNDSiISLSMfT7VjKmoiEiItnSiIZkLDZFI/D8Or65\nTruIiOSeioZkLDZFI6J5GiIi+aeiIRlT0RARkWzpVLVkLG5FY7nrACIiJUAjGpKxuBWN1jaFERGR\n3FrqOoAUj7gVjXlbfoiIiLTDksDz17oOIcVDRUNERLLxlesAUlziVjTmug4gIhJz+j0rWYlb0dCI\nhohIfqloSFbiVjT0AyAikl86dSJZiVvR0IiGiEh+6Q86yUrcisZ8wLoOISISYxrRkKzEqmgEnl8P\nLHKdQ0QkxjSiIVmJVdGIzHQdQEQkxua4DiDFJY5F43PXAUREYmpB4Pna6kGyoqIhIiKZmuY6gBQf\nFQ0REcnUdNcBpPjEsWh85jqAiEhMqWhI1uJaNBpdhxARiSGdOpGsxa5oRLsKznCdQ0QkhjSiIVmL\nXdGIqHWLiOTW0sDzF7gOIcUnrkXjH64DiIjEjEYzpE3iWjQ+cB1ARCRmNFIsbRLXovGO6wAiIjHz\nnusAUpxiWTQCz59DuMGaiIjkxtuuA0hximXRiGhUQ0QkN1YDU12HkOKkoiEiIlsyJfB8rU8kbaKi\nISIiW6LTJtJmcS4a7wLWdQgRkRj4P9cBpHjFtmhEWxlr3xMRkfbTiIa0WWyLRkQtXESkfb4KPH+e\n6xBSvOJeNF53HUBEpMhpNEPaJe5FY7LrACIiRe4l1wGkuMW6aASePxv4p+scIiJF7HnXAaS4xbpo\nRDSqISLSNjMDz5/hOoQUNxUNERHZFI1mSLuVQtF4GdCKdiIi2VPRkHaLfdGI1tPQKqEiItlpRBNB\nJQdiXzQiOn0iIpKdd6I/1ETaRUVDRERao9MmkhOlUjTeAha7DiEiUkSecx1A4qEkika0vfEE1zlE\nRIrEPLQiqORISRSNyGOuA4iIFInHAs/X7teSE6VUNF4AlrkOISJSBB5xHUDio2SKRuD59cBE1zlE\nRArcfOAN1yEkPkqmaEQedR1ARKTAPR54fpPrEBIfpVY0ngdWug4hIlLAdNpEcqqkikbg+WuBp1zn\nEBEpUAuA112HkHgpqaIRUVsXEWmdTptIzpVi0ZgE1LgOISJSgB52HUDip+SKRnT65H7XOURECsw/\nA89/zXUIiZ+SKxqRu10HEBEpMPq9KHlRkkUj8PyPgfdc5xARKRANwFjXISSeSrJoRNTeRURCTwWe\nv9B1CImnUi4aDwC1rkOIiBSAMa4DSHyVbNEIPH8FWilUROQr4FnXISS+SrZoRHT6RERK3T1aO0Py\nqaSLRnQp12euc4iIONKE/uCSPCvpohG5yXUAERFHJgWeP8t1CIk3FQ24F1jsOoSIiAM3ug4g8Vfy\nRSPw/DXA7a5ziIh0sI8Cz3/JdQiJv5IvGpHbgDrXIUREOpBGM6RDqGgAged/jfY/EZHSMQ940HUI\nKQ0qGhvcAFjXIUREOsBNgeevcx1CSoOKRiTw/OnAM65ziIjk2XLgTtchpHSoaGzsz64DiIjk2R3R\nysgiHUJFI000A/sN1zlERPJkDXCz6xBSWlQ0vukS1wFERPLktsDzF7gOIaVFRaOFwPNfAXRtuYjE\nzUog6TqElB4VjdZpVENE4ubGwPOXuA4hpUdFoxWB57+FrkARkfioQZPdxREVjU3TqIaIxMW1utJE\nXFHR2ITA898HnnCdQ0SkneYDf3EdQkqXisbmXQo0uQ4hItIOVwWeX+s6hJQuFY3NCDx/KpBynUNE\npI0CYIzrEFLaVDS27GJA5zZFpBiN1p4m4pqKxhZEi9tc6TqHiEiWXgo8/1HXIURUNDJzM/CZ6xAi\nIhlqAH7lOoQIqGhkJPD8euAi1zlERDJ0a+D501yHEAEVjYwFnv8s8JTrHCIiW7AQuNx1CJFmKhrZ\nGQVoYpWIFDJfi3NJIVHRyELg+V8AN7rOISKyCW8D97oOIZJORSN7VwKzXIcQEWmhCfhV4PnWdRCR\ndCoaWQo8fzVwjuscIiIt3BR4/nuuQ4i0pKLRBoHnPwfc5zqHiEjkc7QRpBQoFY22uwj42nUIESl5\nTcBZgeevcR1EpDUqGm0UeH4N8EvXOUSk5N0SeP4brkOIbIqKRjsEnv8Y8LDrHCJSsr4A/sN1CJHN\nUdFov/MJF8gREelITcDPdMpECp2xVldCtVcilTwOGO86h2Rv1pkXQ3k5lJn1t3Xbf0+2Gnn8+o9t\nUxMLrrgdU13F1hf/otXjNNWtZemDk6h9fxp2XT2VA/vS64TD6Dx0JwCWPT6ZlZPfpKxbF/qecwqd\nhmy3/nNXv/MJK194iwEXn40xptXji7TilsDzf+06hMiWVLgOEAeB509IpJJ3Aa2/CklBGzD6LKp3\n2X6T96988W3qv15C1XYDN/mYmrHjaVy+kkFXXkhZty6sfOFNFt1yP4OuH42trWPV61MYdN1o6qbN\noOaBpxh4aTi9p6m2jqUPP8OA345UyZBsfA5c7DqESCZ06iR3LgKmug4hudWwbAXLJ75Mj8P23ezj\nOu++C31GHk95r+6YinK6HbQXtr6BhgWLWTd7Pp122I7ybl3oPGwn1s2ev/7zlo57lm7770HloP75\n/lIkPuqAkwPPr3UdRCQTKho5Ep0nPRnQD3+RWfH8G8z93Z+Yfe7lLL5zHE2rN5zyXvq3p+h+6HAq\n+vXZ7DG6Dh9K5YC+QDhKsfzJV6jo34eqf9kW0kcqmizNH9X9cxZrP/uSym23Zv5/3c6Cq+5k7Yw5\nuf7yJH5+E3j+R65DiGRKRSOHAs+fDvzKdQ7JXNUOg6neMcHAq0cx8IoLWPfVApaMfQKANZ98zrrZ\n8+l59MEZH2/+Fbcx57wrWPPJ5/QfdSZlnaqoSgxi7RezaFyxitop/6Bqh8HYhkZqxo6n9+nHUJOa\nQL/zTqX3KUeuf26RTXgk8Pw7XIcQyYaKRo4Fnv+/wAOuc0hmBl76S3oceQBlVZVUDuhL7xGHU/vu\nVJrW1VNz30T6eMdhKjOfyjTwsvMZfPuldN17KAuuvouGJcuoHNCXbofszTz/BlY8/Sp9fno0Kya9\nRqcdBlPevSsVvXtQ0a83nYZsR+OSZTStWZvHr1iK2Ezg312HEMmWikZ+nEt4fbsUmYp+vcFaau55\nnE7bD6bzrkOyPkZZ1870POZgyrp2ZvVbHwLQ67gfMPj2Sxl0zShMdRUrX32X3qccSdOaOkynqvWf\nazpV0bSmLmdfj8TGOsJ5Gdr+XYqOikYeBJ6/EjiF8JeDFKh1s+ZR8+DTG91WP+9rKC+n7vNZ1H44\nnTnnX8mc86+k5v6JrP3nLOacfyUNS5Zt9Dl2XT1zR19H3fSZGz+BMZjy8m88b83Y8fQ++QjKunam\nrHM1TbXhnBBrLU2raimr7pTbL1Ti4PeB509xHUKkLXR5a54Env9+IpUcBdzmOou0rqx7V1a98g7l\n3bvS4/D9aViylGWPTab7wXvR89hDsU1N6x9b+84nrH7nY/pdcBrlvbqzdsYcFo95hIFXXBDOw9hu\nEEsfeZZ+vzyV8l7dWfX6FBoW1VA9dMeNnnPV39+HinK6Dh8KQOWgfjQuXcG6rxbSsHgpFX17U9al\nukO/D1Lwxgeef7PrECJtpaKRR4Hn355IJYeh9TUKUkWfnvQfNZJljzzL8idfxlRU0HX/Peh94g8x\nVZUbPbasa2dMZQUVfXoC4ShGw/xFEC14t9XPT2TpuGeYf+mt2MZGKgf2o/+Fp1O1zYD1x2hctZpl\nT0zeaNEvU1FBnzOPZ+Gf/oeyqir6nntyB3zlUkSmAWe6DiHSHloZNM8SqWQlMBk4yHUWESkqS4Dh\ngefPcB1EpD00RyPPAs+vB0YAX7rOIiJFox4YoZIhcaCi0QECz18MHAescp1FRIrCBYHnv+I6hEgu\nqGh0kMDzPwFOB3SuSkQ259bA8+9yHUIkV1Q0OlDg+ROAS1znEJGCNRkY5TqESC5pMqgDiVTyPsLR\nDRGRZp8B+wSev2yLjxQpIhrRcOMs4FnXIUSkYMwHfqSSIXGkEQ1HEqlkF+BFYB/XWUTEqWXAgdE8\nLpHY0YiGI4Hn1wJHES7IIyKlqRY4SiVD4kxFw6HA82uAHwKzXGcRkQ5XD5wYeP6broOI5JOKhmOB\n588lLBuLXGcRkQ7TBHiB52uulsSeikYBCDz/c+BHaEEvkVJxQeD5D7kOIdIRVDQKROD57wHHEp6z\nFZH4ujTw/DtchxDpKCoaBSTw/JfRyIZInF0WeP6VrkOIdCRd3lqAEqnkfsAzQHfXWUQkZ/zA8691\nHUKko6loFKhEKjkceA7o6TqLiLTbqMDzb3IdQsQFFY0Clkglvwc8D/R2nUVE2sQC52tOhpQyFY0C\nl0gldwNeALZynUVEstIE/CLw/LtdBxFxSUWjCCRSye8Slo3+rrOISEYagZGB59/vOoiIa7rqpAhE\nyxPvC3zhOouIbNFa4BSVDJGQRjSKSCKV7As8BQx3nUVEWrUUOD7w/NdcBxEpFBrRKCKB5y8GDgEm\nuM4iIt8wB9hfJUNkYyoaRSbw/DXACcBtrrOIyHofAd8PPF+7MYu0oFMnRSyRSo4GrgWM6ywiJexp\n4CeB52tFX5FWaESjiAWefx3wU8LJZyLS8f4CHKeSIbJpGtGIgWgV0ceAbVxnESkR9cBvA8+/1XUQ\nkUKnohETiVRyADAOONB1FpGYWwCcFHj+310HESkGOnUSE4HnLwR+ANzsOotIjP0d2EMlQyRzGtGI\noUQqeRpwF9DFdRaRGLkF+F3g+fWug4gUExWNmEqkksOAx4HtXWcRKXK1wNmB5z/gOohIMVLRiLFE\nKtkbuB/4kessIkXqC+CEaBsAEWkDzdGIscDzlwJHAxcCdY7jiBSb+4HvqWSItI9GNEpEIpXcFfgb\nMMx1FpECtxQ4L/D8h10HEYkDjWiUiMDz/wHsDfwZULsUad2LwFCVDJHc0YhGCUqkkocC9wLbus4i\nUiDWAhcDNwWer1+KIjmkolGioomidwInuc4i4tjHwGmB5091HUQkjlQ0SlwilfwJ4foA/VxnEelg\nDcD1wGWB569zHUYkrlQ0hEQquRVwA+C5ziLSQd4CztEVJSL5p6Ih6yVSyR8Cd6BFviS+lhHOxbhT\nczFEOoaKhmwkkUp2Bv4TGA1UOY4jkksPARdF+wKJSAdR0ZBWJVLJnQlHNw52HEWkvWYCvww8/znX\nQURKkYqGbFYilRwBXItOp0jxWU24bkwy8Pw1rsOIlCoVDdmiRCpZBVwAXAL0dhxHZEuagHuAPwae\nP991GJFSp6IhGUukkn2APwLnA5WO44i05hng91oTQ6RwqGhI1hKp5BDC0yknuM4iEvkQGB14/guu\ng4jIxlQ0pM0SqeT+wNXAAa6zSMmaQzjKdl/g+U2uw4jIN6loSLslUsmDgEuBQ11nkZLxJZAExmpV\nT5HCpqIhOZNIJfcl/OvyCNdZJLY+Ba4BHgg8v8F1GBHZMhUNyblEKrkX4RUqx7rOIrHxMXAV8KhO\nkYgUFxUNyZtEKrkb4XLPJwAVjuNIcXoX+G/gSS0ZLlKcVDQk7xKp5LbAucDZQH/HcaTwrQMeBf4S\neP5brsOISPuoaEiHSaSSnYCTgV8BezmOI4XnK+CvwJjA8792HUZEckNFQ5xIpJLDCVcbPRlt3lbq\nXgZuA8YHnt/oOoyI5JaKhjiVSCUHAKcDHjDUcRzpOF8T7qZ6Z+D501yHEZH8UdGQgpFIJYcSlo7T\ngEGO40ju1QLjgfuBybo8VaQ0qGhIwUmkkmWEi3+dQXjFSje3iaQdGoEXCcvFE4Hnr3KcR0Q6mIqG\nFLREKtkVOA74MXA40N1tIslAE/B/wCPAg4HnL3CcR0QcUtGQohFtV38I4UJgxwCD3SaSNHWEIxfj\nCde8WOg4j4gUCBUNKVqJVHJ3NpSOPQDjNlHJmQ1Mit5eDDy/1nEeESlAKhoSC4lUciBwEHBw9H5n\np4Hi6WvgdeA14KXA86c6ziMiRUBFQ2Ipumz2QMLScRCwKxrxyNZXhKXiNeDVwPM/dZxHRIqQioaU\nhEQq2RfYD9gT2D1628ZpqMKyknDjsg8J9xd5LfD8L91GEpE4UNGQkpVIJfsBu7GheOwOfBsoc5mr\nA8wBPiIsFc1vM7VpmYjkg4qGSJpEKtmFsGykvw0B/oVwEbFiKCEWmAfMjN6+TPv39MDzaxxmE5ES\no6IhkqHo8trtgAQwEOi3mbeeeYiwCli8ibdFhCMVM4Eg8Py1eXh+EZGsqWiI5EFUSnoA1UCnFm/p\nt1UA9cBawu3R17Xy7zpgqcqDiBQjFQ0RERHJm2I43ywiIiJFSkVDRERE8kZFQ0RERPJGRUNERETy\nRkVDRERE8kZFQ0RERPJGRUNERETyRkVDRERE8kZFQ4qSMeZAY0ydMaZrK/d9K7rvX11kExGRDVQ0\nYsgY85IxZuwm7jvCGFNvjBmY5wwJY4w1xqyNXvTrjDELjTFPGGO+3d7jW2tfs9ZWW2tXR893sDFm\n7+i+WdF909r7PCIi0j4qGvE0BhhhjOnWyn0/A5621s7voCx7Ri/61cCuwArgGWNMpxw/z2+BvXN8\nTBERaScVjXh6nHAjrpPTbzTG9AaOIywiGGPKjDGXGWO+MMbUGmM+MMb8IO3xgTHmj8aYfxpj/jd6\n/5sWx7zZGPN0JqGstYuB3wA7AMOiz9/GGPO4MWaRMWaFMWaCMWbbtHzXG2PmGWNWG2OmG2NOie47\nOBox6WaMmQQcDdxojHk1bTTlO8aYh40x97XIfLYxZm50/N7GmPui51hljJlkjElk/J0WEZHNUtGI\nIWvtWuA+wtGLdKcSbif+bPTxhcAZwFGE25rfAUwwxvRJ+5yfRvf/HEgBpzffYYwxwAnA/VnEK4/e\nN0TvnyDcpXQI4fbrlcAD0X0/iZ5/H6AbYUm52xizVYuv90fALGCUtfagFs83DjjKGFORdtuJwDhr\nbRNwD+Euq98l3Pp9AfBgFl+PiIhshopGfI0B9msxH2IkcI+1tjH6+GzgJmvtZ9baemvtXcBM4KS0\nz3nWWvu5Dbf5vQ/YzRizS3Tf3oQFZUImgYwx/YHrganAx8aYYcBewO+stcuttTXA5cAB0RySXkAT\nUGtDzwA9rLVLsvg+TCIsLwdFGXoChwIPRnmOA/7TWrvEWrsSGA0MN8bslMVziIjIJqhoxFQ0EfJt\nwnKBMWZXYE/g7rSH7QDckDZZsw7YGRic9phZaccMgFcJR0EgHBl43Fpbu5koU9KO/RHQCTjKWtsA\nbA+stNZ+lfb4L6L3CeAh4CtgVnRK5Vygc2bfgfWZ1wBPAcdHNx0DzLHWvhM9P8B7aRnnAo3Adtk8\nj4iItE5FI97GAJ4xpoywcEy21s5Ku38NcEbzZM3orcpae0naYxrY2L3AqdFpkxPZ8mmTPdOOPdBa\ne4q1dnZ03+YmhFprbY21dh/gMGAa8Afgo2hUIhvjCEcuIDzV81D07zXR+2+1+B5UWmsnZ/kcIiLS\nChWNeBtHOP/gQML5GWNa3P8FMDT9hgwmQj4K9CM87VINvNSOfDOA7saYbdJu2xmwwAxjTCdjTHdr\n7ZvW2ouB7wBbA/+W5fM8A/QyxuwHHM6GovEl4ejF+u9BNEFUoxkiIjmiohFj0RoTDwDXEs5TmNji\nIXcA5xlj9jfG++dHcgAAAdNJREFUlBtjjgX+sbn5CdbaVYRXtfwJeDCaUNlW7xHO17guunqkP/Bf\nwCRr7SLgFuAxY8yA6PG7E46CzGjlWGuAHVob7bDW1gFPAtcAX1prP4luX0H4/UlGi3xVE84RecUY\nU97yOCIikj0VjfgbQzhp815rbX2L++4BbgYeBlYSvsifaq39bAvHvJdwEuh9W3jcZkUTTI8HegMB\n8EH0/rToIX8AFgPTjDGrgbuAX1hrP2zlcHcB5wBvbOLpxgEHsGE0o9mFhKdlPiK84uT7wNFpE2ZF\nRKQdTPi7XiRzxpgzgAuttXu5ziIiIoWtYssPEdkgulz2KuDXrrOIiEjh06kTyZgx5q+El8yOsdY+\n4TqPiIgUPp06ERERkbzRiIaIiIjkjYqGiIiI5I2KhoiIiOSNioaIiIjkjYqGiIiI5I2KhoiIiOSN\nioaIiIjkjYqGiIiI5I2KhoiIiOSNioaIiIjkjYqGiIiI5I2KhoiIiOSNioaIiIjkjYqGiIiI5I2K\nhoiIiOSNioaIiIjkjYqGiIiI5I2KhoiIiOSNioaIiIjkjYqGiIiI5I2KhoiIiOSNioaIiIjkjYqG\niIiI5I2KhoiIiOSNioaIiIjkjYqGiIiI5M3/A8YYhydhus2HAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "Q3TQecqHfZvZ",
        "colab_type": "code",
        "outputId": "e574bab0-f914-4d5a-b4a7-b40d8e160702",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        }
      },
      "cell_type": "code",
      "source": [
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.cm as cm\n",
        "import matplotlib as mpl\n",
        "from matplotlib.gridspec import GridSpec\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "\n",
        "section_name_labels = sentiment_type.section_name.sort_values().index\n",
        "section_name_counts = sentiment_type.section_name.sort_values()\n",
        "\n",
        "SENTIMENT_labels = news_type.SENTIMENT.sort_values().index\n",
        "SENTIMENT_counts = news_type.SENTIMENT.sort_values()\n",
        "\n",
        "\n",
        "plt.figure(1, figsize=(12,8))\n",
        "the_grid = GridSpec(2, 2)\n",
        "\n",
        "\n",
        "cmap = plt.get_cmap('viridis_r')\n",
        "colors = [cmap(i) for i in np.linspace(0, 1, 8)]\n",
        "\n",
        "explode = (0.2, 0.1, 0.01, 0.01,0.01,0.0)\n",
        "\n",
        "\n",
        "section_pie = plt.pie(SENTIMENT_counts, labels=SENTIMENT_labels, autopct='%1.1f%%', shadow=False, colors=colors,explode=explode,textprops={'color':\"black\",'fontsize': 14})\n",
        "\n",
        "plt.suptitle('Categories of News article', fontsize=20,weight=\"bold\")\n",
        "\n",
        "\n",
        "plt.show()\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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FmC+/auf+UJPJJMyIiC8wXxTJznH/DzjGSXxCLsTM6bDE2c93wCmYqcZDtoygsG37e8yk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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}