knn__based_recommendation_system.ipynb

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  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "knn _based_recommendation_system",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FwmL_ckmhLih",
        "colab_type": "text"
      },
      "source": [
        "# **download the files using wget**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hf49AmpJ4huq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "outputId": "2ca1a105-fd70-435e-985e-7883ed9d8514"
      },
      "source": [
        "!wget http://deepyeti.ucsd.edu/jmcauley/datasets/librarything/lthing_data.tar.gz"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-07-13 10:07:38--  http://deepyeti.ucsd.edu/jmcauley/datasets/librarything/lthing_data.tar.gz\n",
            "Resolving deepyeti.ucsd.edu (deepyeti.ucsd.edu)... 169.228.63.50\n",
            "Connecting to deepyeti.ucsd.edu (deepyeti.ucsd.edu)|169.228.63.50|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 622688699 (594M) [application/octet-stream]\n",
            "Saving to: ‘lthing_data.tar.gz.1’\n",
            "\n",
            "lthing_data.tar.gz. 100%[===================>] 593.84M  73.8MB/s    in 8.2s    \n",
            "\n",
            "2020-07-13 10:07:46 (72.1 MB/s) - ‘lthing_data.tar.gz.1’ saved [622688699/622688699]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8XNAtjwT4kZw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "outputId": "95c74cca-5a64-4b5c-80d6-89127531eb7e"
      },
      "source": [
        "!wget http://deepyeti.ucsd.edu/jmcauley/datasets/epinions/epinions_data.tar.gz"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-07-13 10:07:48--  http://deepyeti.ucsd.edu/jmcauley/datasets/epinions/epinions_data.tar.gz\n",
            "Resolving deepyeti.ucsd.edu (deepyeti.ucsd.edu)... 169.228.63.50\n",
            "Connecting to deepyeti.ucsd.edu (deepyeti.ucsd.edu)|169.228.63.50|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 69144232 (66M) [application/octet-stream]\n",
            "Saving to: ‘epinions_data.tar.gz.1’\n",
            "\n",
            "epinions_data.tar.g 100%[===================>]  65.94M  59.5MB/s    in 1.1s    \n",
            "\n",
            "2020-07-13 10:07:49 (59.5 MB/s) - ‘epinions_data.tar.gz.1’ saved [69144232/69144232]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "46Ww_YFwhVnG",
        "colab_type": "text"
      },
      "source": [
        "# unzip the tar files using SHUTIL"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PAFtM1i64lJF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import shutil\n",
        "shutil.unpack_archive(\"/content/lthing_data.tar.gz\", \"/content/\")\n",
        "shutil.unpack_archive(\"/content/epinions_data.tar.gz\", \"/content/\")"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pus5nHYnhdOi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XRCB0yr8heF9",
        "colab_type": "text"
      },
      "source": [
        "# Here is the code to convert the invalid json to valid json and store the data as CSV(coma seperated Values)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C0k4eCAb4p3d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import json\n",
        "import ast\n",
        "import csv\n",
        "import pandas as pd\n",
        "data_file = open('test3.csv', 'w') \n",
        "csv_writer = csv.writer(data_file)\n",
        "with open('reviews.json') as json_file:      \n",
        "    data1 = json_file.readlines()\n",
        "data=list(data1)\n",
        "k=[]\n",
        "for i in data:\n",
        "  h=ast.literal_eval(i)\n",
        "  k.append(h)\n",
        " \n",
        "  \n",
        "# Counter variable used for writing  \n",
        "# headers to the CSV file \n",
        "count = 0\n",
        "  \n",
        "for emp in k: \n",
        "    if count == 0: \n",
        "  \n",
        "        # Writing headers of CSV file \n",
        "        header = emp.keys() \n",
        "        csv_writer.writerow(header) \n",
        "        count += 1\n",
        "  \n",
        "    # Writing data of CSV file \n",
        "    csv_writer.writerow(emp.values()) \n",
        "  \n",
        "data_file.close() "
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QwZbHutOhts-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#import the data and convert it into data frame"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-PkDsE1_53KN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "df1=pd.read_csv('test3.csv')"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fTeTHlGXh4H-",
        "colab_type": "text"
      },
      "source": [
        "## cleaning of data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IHx3xNuhh3pd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e55c1927-e430-4525-ba3b-158f5faa7690"
      },
      "source": [
        "df1.head(60)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>0</th>\n",
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              "      <td>1.194394e+09</td>\n",
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              "      <th>2</th>\n",
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              "      <td>1.352938e+09</td>\n",
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              "      <td>Nov 15, 2012</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>12981302</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.364515e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 29, 2013</td>\n",
              "      <td>Well, I definitely liked this book better than...</td>\n",
              "      <td>amdrane2</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5231009</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.270944e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 11, 2010</td>\n",
              "      <td>It's a nice science-fiction thriller with some...</td>\n",
              "      <td>Lila_Gustavus</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>184318</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.231373e+09</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jan 8, 2009</td>\n",
              "      <td>I really didn't find that this book allowed me...</td>\n",
              "      <td>skinglist</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>364456</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.229645e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Dec 19, 2008</td>\n",
              "      <td>During the early part of the twentieth century...</td>\n",
              "      <td>saibaby79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>3067</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.160266e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 8, 2006</td>\n",
              "      <td>great storytelling in this novel about a coupl...</td>\n",
              "      <td>justine</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>4857142</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.303430e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 22, 2011</td>\n",
              "      <td>At 70 pages more of a novella than a short sto...</td>\n",
              "      <td>aulsmith</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>45518</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.171238e+09</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 12, 2007</td>\n",
              "      <td>To tell you the truth, I liked the movie a lot...</td>\n",
              "      <td>ChelseaBottomley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>20028</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.262736e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Jan 6, 2010</td>\n",
              "      <td>Ecellent writing, very poignant. Will definite...</td>\n",
              "      <td>wondersdisciple</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13206089</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.355270e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Dec 12, 2012</td>\n",
              "      <td>Two years after the death of her husband from ...</td>\n",
              "      <td>curvymommy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>36534</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.367021e+09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Apr 27, 2013</td>\n",
              "      <td>It will be hard to find a more unique characte...</td>\n",
              "      <td>Lizziep</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2505753</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.260403e+09</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Dec 10, 2009</td>\n",
              "      <td>I really thought that I would like this book. ...</td>\n",
              "      <td>schatzi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>12458291</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.361664e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 24, 2013</td>\n",
              "      <td>After her father's death, Lena discovers that ...</td>\n",
              "      <td>aztwinmom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>3944526</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.243642e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
              "      <td>May 30, 2009</td>\n",
              "      <td>When I first met Isaac, I thought he was an od...</td>\n",
              "      <td>Tryst</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>9948346</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.315267e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Sep 6, 2011</td>\n",
              "      <td>I purchased this Kindle e-book when it was $.9...</td>\n",
              "      <td>Zumbanista</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>1518</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.357430e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2</td>\n",
              "      <td>Jan 6, 2013</td>\n",
              "      <td>The Discovery of Heaven is a novel of ideas on...</td>\n",
              "      <td>jwhenderson</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>8465376</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.355616e+09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Dec 16, 2012</td>\n",
              "      <td>What if you relived the same day over and over...</td>\n",
              "      <td>br13thga</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>3866886</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.286496e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 8, 2010</td>\n",
              "      <td>This is kind of a heavy book. Talks about what...</td>\n",
              "      <td>Aridy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>10944003</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.298765e+09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Feb 27, 2011</td>\n",
              "      <td>In order to understand the context of the book...</td>\n",
              "      <td>flashlight_reader</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>9270252</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.269562e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 26, 2010</td>\n",
              "      <td>Un diario scritto durante la Prima Guerra Mond...</td>\n",
              "      <td>EPoliti</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>1594925</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.235693e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 27, 2009</td>\n",
              "      <td>Judas Coyne thinks nothing of buying the ghost...</td>\n",
              "      <td>stephmo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>2849559</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.291162e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1</td>\n",
              "      <td>Dec 1, 2010</td>\n",
              "      <td>Fascinating and utterly enthralling. Boyd lays...</td>\n",
              "      <td>Eyejaybee</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>24649</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.196726e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Dec 4, 2007</td>\n",
              "      <td>Not one of her better ones.</td>\n",
              "      <td>billietexas</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>12608308</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.345680e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Aug 23, 2012</td>\n",
              "      <td>It seems that most murderers have the spotligh...</td>\n",
              "      <td>schatzi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>3482374</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.255392e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 13, 2009</td>\n",
              "      <td>Reviewed by Amanda Dissinger for TeensReadToo....</td>\n",
              "      <td>GeniusJen</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>12328460</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.366502e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 21, 2013</td>\n",
              "      <td>Snow White is one of the most popular fairy-ta...</td>\n",
              "      <td>sabrina89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>1179409</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.363997e+09</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 23, 2013</td>\n",
              "      <td>This collection of 15 essays is \"from the maga...</td>\n",
              "      <td>LisaMaria_C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>9870836</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.364861e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 2, 2013</td>\n",
              "      <td>Awesome book... 2nd fave in the series after D...</td>\n",
              "      <td>potterwholockian</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>3222644</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.237162e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 16, 2009</td>\n",
              "      <td>Written for Hip Scouts and http://teensreadtoo...</td>\n",
              "      <td>GuavaLove</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>25708</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.330042e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 24, 2012</td>\n",
              "      <td>Maisie Dobbs has a truly impressive history: h...</td>\n",
              "      <td>roguera</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>7837320</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.376266e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Aug 12, 2013</td>\n",
              "      <td>Naruto has really grown and then he continues ...</td>\n",
              "      <td>Kassilem</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>303605</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.244419e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 8, 2009</td>\n",
              "      <td>With the original illustrations of the Pooh bo...</td>\n",
              "      <td>gildallie</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>502951</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.302739e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 14, 2011</td>\n",
              "      <td>Easy to read book about rain and where it come...</td>\n",
              "      <td>mrstelford</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>2957934</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.256429e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 25, 2009</td>\n",
              "      <td>Obit. Anne Emery. 2007. This is my least favor...</td>\n",
              "      <td>judithrs</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>20104</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.226189e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Nov 9, 2008</td>\n",
              "      <td>Sharon, a God fearing, and easily cowed, mothe...</td>\n",
              "      <td>sally906</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>51330</td>\n",
              "      <td>[]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>I like detectives. Not all of them by any mean...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>10838343</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.360973e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 16, 2013</td>\n",
              "      <td>Better and darker than #1.</td>\n",
              "      <td>LinDelv</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>452949</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.274573e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>May 23, 2010</td>\n",
              "      <td>I love this series which could be described as...</td>\n",
              "      <td>LisaMaria_C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>4044</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.222819e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 1, 2008</td>\n",
              "      <td>(I always wondered where Snoopy got the senten...</td>\n",
              "      <td>lisabankey</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>8923236</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.277683e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 28, 2010</td>\n",
              "      <td>A good work of non-fiction should be reader-fr...</td>\n",
              "      <td>laytonwoman3rd</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>87469</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.190938e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Sep 28, 2007</td>\n",
              "      <td>I want the sequel !!!!!!!</td>\n",
              "      <td>roworthing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>990503</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.266883e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 23, 2010</td>\n",
              "      <td>romanzo bello carico di tensione</td>\n",
              "      <td>alessvi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>443596</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.364170e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 25, 2013</td>\n",
              "      <td>Without a doubt the best single volume English...</td>\n",
              "      <td>timsshelves</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>4982916</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.365206e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 6, 2013</td>\n",
              "      <td>My habit of picking up and reading whatever's ...</td>\n",
              "      <td>bongo_x</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>173670</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.235261e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 22, 2009</td>\n",
              "      <td>I loved it! This book appeals to every child's...</td>\n",
              "      <td>vercoutere</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>19069</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.371514e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 18, 2013</td>\n",
              "      <td>Technical, political and social obstacles obst...</td>\n",
              "      <td>buffalogr</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>8179272</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.244678e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 11, 2009</td>\n",
              "      <td>Read Ali Sethis The Wishmaker more for a very ...</td>\n",
              "      <td>Sararush</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>1030867</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.375574e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Aug 4, 2013</td>\n",
              "      <td>I read this book many years ago and it was one...</td>\n",
              "      <td>lsmoore43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>271819</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.231373e+09</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Jan 8, 2009</td>\n",
              "      <td>In this book we can see Bob Webber beginning t...</td>\n",
              "      <td>pastorstevensimpson</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>19007</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.184544e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>1</td>\n",
              "      <td>Jul 16, 2007</td>\n",
              "      <td>Conan Doyle fancied himself a science fiction ...</td>\n",
              "      <td>stpnwlf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>42260</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.229818e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Dec 21, 2008</td>\n",
              "      <td>I have been ploughing through these this last ...</td>\n",
              "      <td>DWWilkin</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>8258748</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.240445e+09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Apr 23, 2009</td>\n",
              "      <td>1. Act Of The Apostle Part 1 2:55\\t\\n2. Anothe...</td>\n",
              "      <td>danbrady</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>60696</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.297123e+09</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Feb 8, 2011</td>\n",
              "      <td>Yawn...I'd really like my time back, please...</td>\n",
              "      <td>editfish</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>8225921</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.249430e+09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Aug 5, 2009</td>\n",
              "      <td>This book was written by Ed, the youngest brot...</td>\n",
              "      <td>gmicksmith</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>20014</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.183939e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>Jul 9, 2007</td>\n",
              "      <td>6/10/10. What I enjoyed most, this time around...</td>\n",
              "      <td>tjsjohanna</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>301685</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.373846e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>8</td>\n",
              "      <td>Jul 15, 2013</td>\n",
              "      <td>Holy wild, rollicking adventure story! Ive wan...</td>\n",
              "      <td>brenzi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>3199216</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.307578e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 9, 2011</td>\n",
              "      <td>This picture book about the moon uses a great ...</td>\n",
              "      <td>Elizabeth1977</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>9321440</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.308269e+09</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 17, 2011</td>\n",
              "      <td>Like the previous reviewer I found this book h...</td>\n",
              "      <td>richard_carpenter</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
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              "6     364456  ...            saibaby79\n",
              "7       3067  ...              justine\n",
              "8    4857142  ...             aulsmith\n",
              "9      45518  ...     ChelseaBottomley\n",
              "10     20028  ...      wondersdisciple\n",
              "11  13206089  ...           curvymommy\n",
              "12     36534  ...                  NaN\n",
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              "16   9948346  ...           Zumbanista\n",
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              "22   1594925  ...              stephmo\n",
              "23   2849559  ...            Eyejaybee\n",
              "24     24649  ...          billietexas\n",
              "25  12608308  ...              schatzi\n",
              "26   3482374  ...            GeniusJen\n",
              "27  12328460  ...            sabrina89\n",
              "28   1179409  ...          LisaMaria_C\n",
              "29   9870836  ...     potterwholockian\n",
              "30   3222644  ...            GuavaLove\n",
              "31     25708  ...              roguera\n",
              "32   7837320  ...             Kassilem\n",
              "33    303605  ...            gildallie\n",
              "34    502951  ...           mrstelford\n",
              "35   2957934  ...             judithrs\n",
              "36     20104  ...             sally906\n",
              "37     51330  ...                  NaN\n",
              "38  10838343  ...              LinDelv\n",
              "39    452949  ...          LisaMaria_C\n",
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              "41   8923236  ...       laytonwoman3rd\n",
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              "45   4982916  ...              bongo_x\n",
              "46    173670  ...           vercoutere\n",
              "47     19069  ...            buffalogr\n",
              "48   8179272  ...             Sararush\n",
              "49   1030867  ...            lsmoore43\n",
              "50    271819  ...  pastorstevensimpson\n",
              "51     19007  ...              stpnwlf\n",
              "52     42260  ...             DWWilkin\n",
              "53   8258748  ...                  NaN\n",
              "54     60696  ...             editfish\n",
              "55   8225921  ...                  NaN\n",
              "56     20014  ...           tjsjohanna\n",
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              "58   3199216  ...        Elizabeth1977\n",
              "59   9321440  ...    richard_carpenter\n",
              "\n",
              "[60 rows x 8 columns]"
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      "metadata": {
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        "colab_type": "code",
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      },
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        "df1=df[df['nhelpful']=='0']"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jWL5eTx44wKb",
        "colab_type": "code",
        "colab": {}
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        "final=df1[df1['flags']==\"[]\"]\n"
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      "execution_count": 17,
      "outputs": []
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      "source": [
        "final.info()"
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      "execution_count": 18,
      "outputs": [
        {
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 1200380 entries, 0 to 1707067\n",
            "Data columns (total 8 columns):\n",
            " #   Column    Non-Null Count    Dtype  \n",
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            "dtypes: float64(2), int64(1), object(5)\n",
            "memory usage: 82.4+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yZ8fGqC-5FGT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "4a8a771b-6af8-4380-901b-325a40ef74e0"
      },
      "source": [
        "final"
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      "execution_count": 19,
      "outputs": [
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              "      <td>12981302</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.364515e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mar 29, 2013</td>\n",
              "      <td>Well, I definitely liked this book better than...</td>\n",
              "      <td>amdrane2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5231009</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.270944e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 11, 2010</td>\n",
              "      <td>It's a nice science-fiction thriller with some...</td>\n",
              "      <td>Lila_Gustavus</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>184318</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.231373e+09</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jan 8, 2009</td>\n",
              "      <td>I really didn't find that this book allowed me...</td>\n",
              "      <td>skinglist</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1707062</th>\n",
              "      <td>10051104</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.286582e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Oct 9, 2010</td>\n",
              "      <td>Sister dies and the other sister heres angels ...</td>\n",
              "      <td>wirtley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1707063</th>\n",
              "      <td>94456</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.149811e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Jun 9, 2006</td>\n",
              "      <td>First and best of Alisa Craig's mountie myster...</td>\n",
              "      <td>drruth</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1707064</th>\n",
              "      <td>8253945</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.365379e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Apr 8, 2013</td>\n",
              "      <td>I'm a huge fan of John Grisham and have read a...</td>\n",
              "      <td>jclark88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1707065</th>\n",
              "      <td>5377722</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.376438e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Aug 14, 2013</td>\n",
              "      <td>Yea, so, this is borderline my type of thing. ...</td>\n",
              "      <td>Jellyn</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1707067</th>\n",
              "      <td>452711</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.220227e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Sep 1, 2008</td>\n",
              "      <td>In The Last Dive: A Father and Sons Fatal Desc...</td>\n",
              "      <td>koeniel</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1200380 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             work  ...           user\n",
              "0         3206242  ...       van_stef\n",
              "1        12198649  ...       dwatson2\n",
              "3        12981302  ...       amdrane2\n",
              "4         5231009  ...  Lila_Gustavus\n",
              "5          184318  ...      skinglist\n",
              "...           ...  ...            ...\n",
              "1707062  10051104  ...        wirtley\n",
              "1707063     94456  ...         drruth\n",
              "1707064   8253945  ...       jclark88\n",
              "1707065   5377722  ...         Jellyn\n",
              "1707067    452711  ...        koeniel\n",
              "\n",
              "[1200380 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fPEpvHgK6O0l",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import json\n",
        "import ast\n",
        "import csv\n",
        "import pandas as pd\n",
        "data_file = open('test4.csv', 'w') \n",
        "csv_writer = csv.writer(data_file)\n",
        "with open('epinions.json') as json_file:      \n",
        "    data1 = json_file.readlines()\n",
        "data=list(data1)\n",
        "k=[]\n",
        "for i in data:\n",
        "  h=ast.literal_eval(i)\n",
        "  k.append(h)\n",
        " \n",
        "  \n",
        "# Counter variable used for writing  \n",
        "# headers to the CSV file \n",
        "count = 0\n",
        "  \n",
        "for emp in k: \n",
        "    if count == 0: \n",
        "  \n",
        "        # Writing headers of CSV file \n",
        "        header = emp.keys() \n",
        "        csv_writer.writerow(header) \n",
        "        count += 1\n",
        "  \n",
        "    # Writing data of CSV file \n",
        "    csv_writer.writerow(emp.values()) \n",
        "  \n",
        "data_file.close() "
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fMFrHuc-7GxR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "0227ef6c-b76b-421f-cada-e1992e021f61"
      },
      "source": [
        "\n",
        "import pandas as pd\n",
        "df11=pd.read_csv(\"test4.csv\")\n",
        "df11"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user</th>\n",
              "      <th>stars</th>\n",
              "      <th>time</th>\n",
              "      <th>paid</th>\n",
              "      <th>item</th>\n",
              "      <th>review</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fgb59h</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1027296000</td>\n",
              "      <td>260.0</td>\n",
              "      <td>Minolta_QMS_PagePro_1250E_Printers</td>\n",
              "      <td>i got this printer from minolta as a warranty ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>bucho_ky</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1201305600</td>\n",
              "      <td>1800.0</td>\n",
              "      <td>Sony_VAIO_PCG_K45_P4_538_3_2GHz_1MB_L2_533MHz_...</td>\n",
              "      <td>although i love my vaio especially the gorgeou...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>redp944</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1118016000</td>\n",
              "      <td>1000.0</td>\n",
              "      <td>Sony_VAIO_PCG_K45_P4_538_3_2GHz_1MB_L2_533MHz_...</td>\n",
              "      <td>this is my first laptop and i bought it about ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>spongebag7</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1149292800</td>\n",
              "      <td>20.0</td>\n",
              "      <td>pr-Durabrand_CD-85_Personal_CD_Player</td>\n",
              "      <td>just recently my sony dej001 walkman died on m...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>pyros7</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1012262400</td>\n",
              "      <td>1199.0</td>\n",
              "      <td>pr-Sony_KV_36FS12__Standard_Televisions</td>\n",
              "      <td>well when i graduated from college it didnt ta...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188473</th>\n",
              "      <td>chris_baehr</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1012608000</td>\n",
              "      <td>100000.0</td>\n",
              "      <td>auto_Make-2002_Ford_Thunderbird</td>\n",
              "      <td>ford has once again tried to bring back the th...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188474</th>\n",
              "      <td>BrianCam</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1016409600</td>\n",
              "      <td>44000.0</td>\n",
              "      <td>auto_Make-2002_Ford_Thunderbird</td>\n",
              "      <td>ford thunderbird the name alone says so much a...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188475</th>\n",
              "      <td>lanh</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1051747200</td>\n",
              "      <td>41000.0</td>\n",
              "      <td>auto_Make-2002_Ford_Thunderbird</td>\n",
              "      <td>price is very high per features offered when y...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188476</th>\n",
              "      <td>spdster2002</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1029974400</td>\n",
              "      <td>42155.0</td>\n",
              "      <td>auto_Make-2002_Ford_Thunderbird</td>\n",
              "      <td>after a 5year break ford finally restores its ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188477</th>\n",
              "      <td>nylaphx</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1274227200</td>\n",
              "      <td>38000.0</td>\n",
              "      <td>auto_Make-2002_Ford_Thunderbird</td>\n",
              "      <td>whats the best way to find out if you really l...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>188478 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               user  ...                                             review\n",
              "0            fgb59h  ...  i got this printer from minolta as a warranty ...\n",
              "1          bucho_ky  ...  although i love my vaio especially the gorgeou...\n",
              "2           redp944  ...  this is my first laptop and i bought it about ...\n",
              "3        spongebag7  ...  just recently my sony dej001 walkman died on m...\n",
              "4            pyros7  ...  well when i graduated from college it didnt ta...\n",
              "...             ...  ...                                                ...\n",
              "188473  chris_baehr  ...  ford has once again tried to bring back the th...\n",
              "188474     BrianCam  ...  ford thunderbird the name alone says so much a...\n",
              "188475         lanh  ...  price is very high per features offered when y...\n",
              "188476  spdster2002  ...  after a 5year break ford finally restores its ...\n",
              "188477      nylaphx  ...  whats the best way to find out if you really l...\n",
              "\n",
              "[188478 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EHcJAtzu7QI-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "9e3b0116-64b5-4df6-b4c8-589c153a38ed"
      },
      "source": [
        "final.shape"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1200380, 8)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UEMTdvog7gGF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "52729b34-5544-472f-f765-26b95d2ebe4c"
      },
      "source": [
        "df11.shape"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(188478, 6)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VXil2RLR833u",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261
        },
        "outputId": "478e88e5-eb05-4b21-cd59-f8c3d9ca6535"
      },
      "source": [
        "df11.info()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 188478 entries, 0 to 188477\n",
            "Data columns (total 6 columns):\n",
            " #   Column  Non-Null Count   Dtype  \n",
            "---  ------  --------------   -----  \n",
            " 0   user    188477 non-null  object \n",
            " 1   stars   188478 non-null  float64\n",
            " 2   time    188478 non-null  int64  \n",
            " 3   paid    188290 non-null  object \n",
            " 4   item    188478 non-null  object \n",
            " 5   review  188478 non-null  object \n",
            "dtypes: float64(1), int64(1), object(4)\n",
            "memory usage: 8.6+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DRut8wB-7iqK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "outputId": "2e3a5ee3-90f4-4f38-fb8a-98d1270699e7"
      },
      "source": [
        "nw_head=[\"user\",\"trusted_\"]\n",
        "df1=pd.read_csv('network_trust.txt',sep=' trust ')\n",
        "df1.to_csv('net_trust.txt',header=nw_head,index=False)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
            "  \n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lzpKHBvG8GZJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "9c713db7-35bc-4f6c-cf51-969798901259"
      },
      "source": [
        "df=pd.read_csv(\"net_trust.txt\")\n",
        "df"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user</th>\n",
              "      <th>trusted_</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>shippo225</td>\n",
              "      <td>sallyg8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>aryeh7000</td>\n",
              "      <td>liteair</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>magenta321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>jeffsullivan</td>\n",
              "      <td>rpllingrock</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>AinsleyJo</td>\n",
              "      <td>nana530</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>691889</th>\n",
              "      <td>susiee</td>\n",
              "      <td>workingmomof2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>691890</th>\n",
              "      <td>warriorray</td>\n",
              "      <td>jh33194</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>691891</th>\n",
              "      <td>wideangle</td>\n",
              "      <td>jeffdaddy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>691892</th>\n",
              "      <td>dejata</td>\n",
              "      <td>ready2bmom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>691893</th>\n",
              "      <td>mummummum</td>\n",
              "      <td>lrguis</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>691894 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                user       trusted_\n",
              "0          shippo225        sallyg8\n",
              "1          aryeh7000        liteair\n",
              "2           chiquita     magenta321\n",
              "3       jeffsullivan    rpllingrock\n",
              "4          AinsleyJo        nana530\n",
              "...              ...            ...\n",
              "691889        susiee  workingmomof2\n",
              "691890    warriorray        jh33194\n",
              "691891     wideangle      jeffdaddy\n",
              "691892        dejata     ready2bmom\n",
              "691893     mummummum         lrguis\n",
              "\n",
              "[691894 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u21wPy_J8Jqb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df2=df.merge(df11,on='user')"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qkAcax0ubsKH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "e089a78e-de78-41b8-d131-f1d5724e2ed1"
      },
      "source": [
        "df2.shape"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1530401, 7)"
            ]
          },
          "metadata": {
            "tags": []
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          "execution_count": 28
        }
      ]
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    {
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      "metadata": {
        "id": "NEfLRWE7cc9o",
        "colab_type": "code",
        "colab": {
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          "height": 1000
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        "outputId": "550c3d67-9284-4e45-b3e0-c0db3991746f"
      },
      "source": [
        "df2.tail(60)"
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      "execution_count": 29,
      "outputs": [
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              "                  user  ...                                             review\n",
              "1530341      paradoxsm  ...  for its intended use its simply a fantastic mu...\n",
              "1530342      paradoxsm  ...  i was still hauling around a 5125 until recent...\n",
              "1530343      paradoxsm  ...                having owned the generation 3 and 4\n",
              "1530344      paradoxsm  ...  an impulse buy this was has turned out to be a...\n",
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              "1530346      paradoxsm  ...                   this is a very interesting phone\n",
              "1530347      paradoxsm  ...  i bought this cheaply second hand to use on a ...\n",
              "1530348      paradoxsm  ...  simple review forget it the pictures are blurr...\n",
              "1530349       kracyazn  ...  i just got my hewlett packard deskjet 932c pri...\n",
              "1530350       kracyazn  ...  the mzr900 has actually been my second md that...\n",
              "1530351  ruthfromsooke  ...  i have been very satisfied with my ipod mini i...\n",
              "1530352      raine3481  ...  so why does it make me want to pull out my hai...\n",
              "1530353          Ungie  ...  ive used many digital cameras for extended per...\n",
              "1530354        bpilati  ...  ive had this phone since aug 2009 and have had...\n",
              "1530355        bpilati  ...  i purchased this model from costco online it i...\n",
              "1530356        bpilati  ...  i purchased this computer in mid2004 without a...\n",
              "1530357        tgeiger  ...  we purchased a calypso washer from sears think...\n",
              "1530358       jgclarke  ...  we have had this refrigerator unit in white si...\n",
              "1530359   cupcakemommy  ...  i cook and bakea lot i come from an italian fa...\n",
              "1530360   cupcakemommy  ...  my children received this from a family friend...\n",
              "1530361   cupcakemommy  ...  my sister asked me if she could buy this for m...\n",
              "1530362   cupcakemommy  ...  my girls received the shape sorting cupcakes a...\n",
              "1530363   cupcakemommy  ...  what a sugarysweet home this dollhouse is the ...\n",
              "1530364   cupcakemommy  ...  wow not even sure where to begin with this review\n",
              "1530365   cupcakemommy  ...  my girls received the cherry blossom and rose ...\n",
              "1530366   cupcakemommy  ...  about a year ago i purchased an ice cream make...\n",
              "1530367   cupcakemommy  ...  despite the fact that i repetitively tell my f...\n",
              "1530368   cupcakemommy  ...  what a fantastic dollhouse starter set so many...\n",
              "1530369   cupcakemommy  ...  ok ok so its nearly winter here in nj but i ju...\n",
              "1530370   cupcakemommy  ...  i purchased this cash register for my girls as...\n",
              "1530371   cupcakemommy  ...  my girls have been nonstop loading and unloadi...\n",
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              "1530373   cupcakemommy  ...  my girls received the learning resources mix m...\n",
              "1530374   cupcakemommy  ...  my parents bought the fisher price fun 2 learn...\n",
              "1530375   cupcakemommy  ...  my children are pizza fiends no two ways aroun...\n",
              "1530376   cupcakemommy  ...  i am always keeping tabs on melissa doug toys ...\n",
              "1530377   cupcakemommy  ...  i want to preface this by saying we are haba a...\n",
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              "1530379   cupcakemommy  ...  ok i know the cherry blossom market is not the...\n",
              "1530380        sc03979  ...  if you find yourself short on cash and just ha...\n",
              "1530381        sc03979  ...  ive completely changed this review personally ...\n",
              "1530382        sc03979  ...  i was in the market for a tv with better resol...\n",
              "1530383        sc03979  ...  im a person who cares about sound but has a sm...\n",
              "1530384      faceplant  ...  my wife has used this with our boy since he wa...\n",
              "1530385      faceplant  ...  i have owned two motorola v3620 vaders both su...\n",
              "1530386           rikc  ...  in the past three years we have gone through t...\n",
              "1530387        Kmondon  ...  i purchased this camera from frys for 450 plus...\n",
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              "               user  ...                                             review\n",
              "0          chiquita  ...  i became a domino enthusiast while living in t...\n",
              "1          chiquita  ...  i became a domino enthusiast while living in t...\n",
              "2          chiquita  ...  i became a domino enthusiast while living in t...\n",
              "3          chiquita  ...  i became a domino enthusiast while living in t...\n",
              "4          chiquita  ...  i became a domino enthusiast while living in t...\n",
              "...             ...  ...                                                ...\n",
              "1530396      kgrama  ...  my kenmore and i have a lovehate relationship ...\n",
              "1530397      kgrama  ...  the kodak easy share dx4330 digital camera was...\n",
              "1530398  markopolo7  ...  i bought this cat thinking i was going to modi...\n",
              "1530399      roygpa  ...  ive had my intellimap 320 for about a year now...\n",
              "1530400      roygpa  ...  my daughter received it as a christmas present...\n",
              "\n",
              "[1530401 rows x 7 columns]"
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      "outputs": [
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              "      <td>[]</td>\n",
              "      <td>1.184285e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1184284800</td>\n",
              "      <td>I've been a fan of Kelley Armstrong since I wa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072159</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>10102557</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.321488e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1321488000</td>\n",
              "      <td>Some of my favorite books when I was growing u...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072160</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>1745710</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.190592e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1190592000</td>\n",
              "      <td>Here again we have a book that I bought becaus...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072161</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>2569212</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.353802e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1353801600</td>\n",
              "      <td>After having read and been wowed by the Fault ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072162</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>8263871</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.302826e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1302825600</td>\n",
              "      <td>Now this is more like it! A good story for Mis...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072163</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>11478186</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.343174e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1343174400</td>\n",
              "      <td>Now, for today's question: how much credit do ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072164</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>11831648</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.327450e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1327449600</td>\n",
              "      <td>We've generally come to view nature as a pleas...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072165</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>88384</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.188346e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1188345600</td>\n",
              "      <td>This is the third Buckley book I've read this ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072166</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>19037</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.187741e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1187740800</td>\n",
              "      <td>I'll admit that I took a very long time before...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072167</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>7477064</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.233446e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1233446400</td>\n",
              "      <td>One of the problems of our age, particularly i...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072168</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>11011497</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.306109e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1306108800</td>\n",
              "      <td>This was a very cute ending to the series, and...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072169</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>38906</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.192666e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1192665600</td>\n",
              "      <td>This is the end of the main part of the trilog...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072170</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>268701</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.248998e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1248998400</td>\n",
              "      <td>Much can be said of the turmoil and potential ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072171</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>549121</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.217203e+09</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1217203200</td>\n",
              "      <td>I love baseball books, and I rather enjoyed Wh...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072172</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>3528275</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.337386e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1337385600</td>\n",
              "      <td>It's dangerous sometimes to pick up books beca...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072173</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>3633322</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.207008e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1207008000</td>\n",
              "      <td>It's not a secret that I'm a Kelley Armstrong ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072174</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>129466</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.264550e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1264550400</td>\n",
              "      <td>It's really hard to write a tragedy that works...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072175</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>13620</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.201133e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1201132800</td>\n",
              "      <td>I started this book thinking it was going to b...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072176</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>7207</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.245110e+09</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1245110400</td>\n",
              "      <td>I often don't care much for books that are str...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072177</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>10151</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.184285e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1184284800</td>\n",
              "      <td>This came very highly recommended; most Russia...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072178</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>10983364</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.354752e+09</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1354752000</td>\n",
              "      <td>It's nice to think of more ways for people to ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072179</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>1667841</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.323907e+09</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1323907200</td>\n",
              "      <td>Here's a quick story about how one comes acros...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072180</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>6911077</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.184285e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1184284800</td>\n",
              "      <td>This is a good, straight-up mystery, with the ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072181</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>231081</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.206835e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1206835200</td>\n",
              "      <td>Having just gone to Tokyo, it made sense to st...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072182</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>7789355</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.327882e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1327881600</td>\n",
              "      <td>This review is going to be more spoiler-y than...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072183</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>1805306</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.184285e+09</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1184284800</td>\n",
              "      <td>This book turned out to be pretty good. Not gr...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072184</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>11337573</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.327277e+09</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0</td>\n",
              "      <td>1327276800</td>\n",
              "      <td>Knowing who you are and where you belong is im...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072185</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>12409595</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.348272e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1348272000</td>\n",
              "      <td>It's rare these days for me to really find a n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16072186</th>\n",
              "      <td>Capfox</td>\n",
              "      <td>nataliepm</td>\n",
              "      <td>6004672</td>\n",
              "      <td>[]</td>\n",
              "      <td>1.227830e+09</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1227830400</td>\n",
              "      <td>It's certainly viewed within my social circle ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            user  ...                                            comment\n",
              "16072127  Capfox  ...  Okay, this one is full of goodness; this is pr...\n",
              "16072128  Capfox  ...  I can't help but anticipate each new Otherworl...\n",
              "16072129  Capfox  ...  I don't like the Rincewind books. Of the major...\n",
              "16072130  Capfox  ...  Lets get this out of the way up front: this bo...\n",
              "16072131  Capfox  ...  I find it hard not to be fascinated on some le...\n",
              "16072132  Capfox  ...  You've probably heard this idea before, or som...\n",
              "16072133  Capfox  ...  Caution: Some real spoilers for The Magicians....\n",
              "16072134  Capfox  ...  Having let this book languish on my shelf for ...\n",
              "16072135  Capfox  ...  Another fast and fun read from Buckley. This o...\n",
              "16072136  Capfox  ...  You'll find that the first thing that grabs yo...\n",
              "16072137  Capfox  ...  This will come as a big surprise, I'm sure, bu...\n",
              "16072138  Capfox  ...  I think that my expectations for this book wer...\n",
              "16072139  Capfox  ...  I've read a lot of stories about aliens coming...\n",
              "16072140  Capfox  ...  Ah, the impossible crime mystery. This one's d...\n",
              "16072141  Capfox  ...  Giamatti certainly had a high love of baseball...\n",
              "16072142  Capfox  ...  I initially bought this book because a good fr...\n",
              "16072143  Capfox  ...  It must be hard to write yet another book in a...\n",
              "16072144  Capfox  ...  Cute enough; the slice-of-life story around Ch...\n",
              "16072145  Capfox  ...  I've long been a fan of the Otherworld series,...\n",
              "16072146  Capfox  ...  No, really, why does the world exist? The ques...\n",
              "16072147  Capfox  ...  The Death Note series was definitely an enjoya...\n",
              "16072148  Capfox  ...  I picked this up some time last year, partly b...\n",
              "16072149  Capfox  ...  I took rather a longer time reading this than ...\n",
              "16072150  Capfox  ...  Religion and homosexuality are often placed at...\n",
              "16072151  Capfox  ...  All right, I admit that the reason why I picke...\n",
              "16072152  Capfox  ...  I've read a few Christopher Buckley books this...\n",
              "16072153  Capfox  ...  I greatly enjoyed Tammet's autobiographical wo...\n",
              "16072154  Capfox  ...  Last year, I ran across a short story collecti...\n",
              "16072155  Capfox  ...  After reading the first book in this series, I...\n",
              "16072156  Capfox  ...  Finding oneself and what one wants to do in li...\n",
              "16072157  Capfox  ...  Your damning with faint praise section of the ...\n",
              "16072158  Capfox  ...  I've been a fan of Kelley Armstrong since I wa...\n",
              "16072159  Capfox  ...  Some of my favorite books when I was growing u...\n",
              "16072160  Capfox  ...  Here again we have a book that I bought becaus...\n",
              "16072161  Capfox  ...  After having read and been wowed by the Fault ...\n",
              "16072162  Capfox  ...  Now this is more like it! A good story for Mis...\n",
              "16072163  Capfox  ...  Now, for today's question: how much credit do ...\n",
              "16072164  Capfox  ...  We've generally come to view nature as a pleas...\n",
              "16072165  Capfox  ...  This is the third Buckley book I've read this ...\n",
              "16072166  Capfox  ...  I'll admit that I took a very long time before...\n",
              "16072167  Capfox  ...  One of the problems of our age, particularly i...\n",
              "16072168  Capfox  ...  This was a very cute ending to the series, and...\n",
              "16072169  Capfox  ...  This is the end of the main part of the trilog...\n",
              "16072170  Capfox  ...  Much can be said of the turmoil and potential ...\n",
              "16072171  Capfox  ...  I love baseball books, and I rather enjoyed Wh...\n",
              "16072172  Capfox  ...  It's dangerous sometimes to pick up books beca...\n",
              "16072173  Capfox  ...  It's not a secret that I'm a Kelley Armstrong ...\n",
              "16072174  Capfox  ...  It's really hard to write a tragedy that works...\n",
              "16072175  Capfox  ...  I started this book thinking it was going to b...\n",
              "16072176  Capfox  ...  I often don't care much for books that are str...\n",
              "16072177  Capfox  ...  This came very highly recommended; most Russia...\n",
              "16072178  Capfox  ...  It's nice to think of more ways for people to ...\n",
              "16072179  Capfox  ...  Here's a quick story about how one comes acros...\n",
              "16072180  Capfox  ...  This is a good, straight-up mystery, with the ...\n",
              "16072181  Capfox  ...  Having just gone to Tokyo, it made sense to st...\n",
              "16072182  Capfox  ...  This review is going to be more spoiler-y than...\n",
              "16072183  Capfox  ...  This book turned out to be pretty good. Not gr...\n",
              "16072184  Capfox  ...  Knowing who you are and where you belong is im...\n",
              "16072185  Capfox  ...  It's rare these days for me to really find a n...\n",
              "16072186  Capfox  ...  It's certainly viewed within my social circle ...\n",
              "\n",
              "[60 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZB9Bmo4txwxN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 74
        },
        "outputId": "ed2fad92-fb3f-4376-d523-fc4e99c08a7f"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set_style('white')"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XFo93rPaRbew",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "23925fde-71d6-472a-facb-c02011d887a6"
      },
      "source": [
        "df2.groupby('trusted_')['stars'].mean().sort_values(ascending=False).head()"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "trusted_\n",
              "$p00ky       5.0\n",
              "smpagano     5.0\n",
              "cyberarmy    5.0\n",
              "smryanaz     5.0\n",
              "sms40004     5.0\n",
              "Name: stars, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yBJUvjOIyhz_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "6826e54b-c61c-46c2-9149-2ea9e4ab5266"
      },
      "source": [
        "fin.groupby('trusted_')['stars'].mean().sort_values(ascending=False).head()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "trusted_\n",
              "elysta            5.0\n",
              "James_K_Decker    5.0\n",
              "cwills            5.0\n",
              "JamieMarie        5.0\n",
              "JamieHaden        5.0\n",
              "Name: stars, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U2FdXAHlRgVU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "b94f72f4-7d54-4333-fe39-d987add8ca30"
      },
      "source": [
        "df2.groupby('trusted_')['stars'].count().sort_values(ascending=False).head()"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "trusted_\n",
              "bryan_carey    6712\n",
              "melissasrn     5870\n",
              "cntaur5        5449\n",
              "kamel622       5393\n",
              "jo.com         5107\n",
              "Name: stars, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F3MWtMuSy6kI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "3faeda0f-1b20-456b-a91f-fbe127e652c6"
      },
      "source": [
        "fin.groupby('trusted_')['stars'].count().sort_values(ascending=False).head()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "trusted_\n",
              "theoldman          82838\n",
              "Smethers           49185\n",
              "dvdbokbulimiker    45485\n",
              "JeremyCShipp       40642\n",
              "FiveBooks          37012\n",
              "Name: stars, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4kh58_l9RkMi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "outputId": "994279a2-85fd-4cc9-893c-30651184fd41"
      },
      "source": [
        "rat1=pd.DataFrame(df2.groupby('trusted_')['stars'].mean())\n",
        "rat1.head()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>stars</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>trusted_</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>$p00ky</th>\n",
              "      <td>5.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>*candy1*</th>\n",
              "      <td>4.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>*kitty*</th>\n",
              "      <td>5.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>--mikecrow--</th>\n",
              "      <td>4.375</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-=l0comof0=-</th>\n",
              "      <td>4.200</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              stars\n",
              "trusted_           \n",
              "$p00ky        5.000\n",
              "*candy1*      4.500\n",
              "*kitty*       5.000\n",
              "--mikecrow--  4.375\n",
              "-=l0comof0=-  4.200"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TslzwlNczLZx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "outputId": "495553f3-1215-44d4-f1de-8ac6fc1eaf63"
      },
      "source": [
        "rat1['number of ratings']=pd.DataFrame(df2.groupby('trusted_')['stars'].count())\n",
        "rat1.head()"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>stars</th>\n",
              "      <th>number of ratings</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>trusted_</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>$p00ky</th>\n",
              "      <td>5.000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>*candy1*</th>\n",
              "      <td>4.500</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>*kitty*</th>\n",
              "      <td>5.000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>--mikecrow--</th>\n",
              "      <td>4.375</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-=l0comof0=-</th>\n",
              "      <td>4.200</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              stars  number of ratings\n",
              "trusted_                              \n",
              "$p00ky        5.000                  1\n",
              "*candy1*      4.500                  2\n",
              "*kitty*       5.000                  1\n",
              "--mikecrow--  4.375                  8\n",
              "-=l0comof0=-  4.200                 15"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "quT1Eu6DRpmJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "outputId": "b85675e8-08c3-49d2-b080-16afbecfebcd"
      },
      "source": [
        "rating=pd.DataFrame(fin.groupby('trusted_')['stars'].mean())\n",
        "rating"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>stars</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>trusted_</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>--jd</th>\n",
              "      <td>3.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-AlyssaE-</th>\n",
              "      <td>4.389831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Cicero-</th>\n",
              "      <td>2.465419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Eva-</th>\n",
              "      <td>3.746917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Excalibur-</th>\n",
              "      <td>3.438596</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzkwetal</th>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzrude</th>\n",
              "      <td>3.844828</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzshupinga</th>\n",
              "      <td>3.206926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzxshawtyzzx</th>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzzangel08080</th>\n",
              "      <td>4.760000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>55201 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  stars\n",
              "trusted_               \n",
              "--jd           3.500000\n",
              "-AlyssaE-      4.389831\n",
              "-Cicero-       2.465419\n",
              "-Eva-          3.746917\n",
              "-Excalibur-    3.438596\n",
              "...                 ...\n",
              "zzkwetal       4.000000\n",
              "zzrude         3.844828\n",
              "zzshupinga     3.206926\n",
              "zzxshawtyzzx   5.000000\n",
              "zzzangel08080  4.760000\n",
              "\n",
              "[55201 rows x 1 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f_w-E_Rwzusl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "outputId": "f8e126bb-ef09-4cb5-9c58-760defe8d2ca"
      },
      "source": [
        "rating[\"number of ratings\"]=pd.DataFrame(fin.groupby('trusted_')['stars'].count())\n",
        "rating"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>stars</th>\n",
              "      <th>number of ratings</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>trusted_</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>--jd</th>\n",
              "      <td>3.500000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-AlyssaE-</th>\n",
              "      <td>4.389831</td>\n",
              "      <td>118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Cicero-</th>\n",
              "      <td>2.465419</td>\n",
              "      <td>1229</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Eva-</th>\n",
              "      <td>3.746917</td>\n",
              "      <td>3406</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>-Excalibur-</th>\n",
              "      <td>3.438596</td>\n",
              "      <td>57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzkwetal</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzrude</th>\n",
              "      <td>3.844828</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzshupinga</th>\n",
              "      <td>3.206926</td>\n",
              "      <td>592</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzxshawtyzzx</th>\n",
              "      <td>5.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zzzangel08080</th>\n",
              "      <td>4.760000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>55201 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  stars  number of ratings\n",
              "trusted_                                  \n",
              "--jd           3.500000                  4\n",
              "-AlyssaE-      4.389831                118\n",
              "-Cicero-       2.465419               1229\n",
              "-Eva-          3.746917               3406\n",
              "-Excalibur-    3.438596                 57\n",
              "...                 ...                ...\n",
              "zzkwetal       4.000000                  4\n",
              "zzrude         3.844828                 29\n",
              "zzshupinga     3.206926                592\n",
              "zzxshawtyzzx   5.000000                  2\n",
              "zzzangel08080  4.760000                 25\n",
              "\n",
              "[55201 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nhiw5PckSCoG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "72af3e70-b6db-4ee7-f2f8-9f8c441dd06a"
      },
      "source": [
        "plt.figure(figsize=[10,8])\n",
        "rat1[\"number of ratings\"].hist(bins=70)"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0973f1cf28>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-pkgUgAf0Ob0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "001f1be7-09fc-4a96-81bd-724e43c91d13"
      },
      "source": [
        "plt.figure(figsize=[10,8])\n",
        "rating[\"number of ratings\"].hist(bins=70)"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0973f1c320>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6-mXnkZ6SS71",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "outputId": "6378c701-d654-432a-ac3d-73cdd720e5db"
      },
      "source": [
        "plt.figure(figsize=[10,4])\n",
        "rat1.hist(bins=70)"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0973da7518>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f0973d5be48>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "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": "Smp7iUy50i5M",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "outputId": "1b3c3563-4afd-4e1c-a840-2274ce37f951"
      },
      "source": [
        "plt.figure(figsize=[10,4])\n",
        "rating.hist(bins=70)"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f0973d19f60>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f0973c3d978>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "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": "63xEqHdmSV3p",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "outputId": "738c5834-f65f-438f-c286-c13c73635998"
      },
      "source": [
        "sns.jointplot(x=\"stars\",y='number of ratings',data=rat1,alpha=0.5)"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.JointGrid at 0x7f0973c0a710>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mmiHhWtI4RKH",
        "colab_type": "text"
      },
      "source": [
        "it follows gaussian curve but has some **outliers**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GHXyxJNd0vjo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "outputId": "10859e9d-b420-434b-fa84-ec217c2ac459"
      },
      "source": [
        "sns.jointplot(x=\"stars\",y='number of ratings',data=rating,alpha=0.5)"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.JointGrid at 0x7f0973a64b38>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M050kcb_1_LR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#so, till now we have completed the movie recomondation"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DnPtbYt_N_sc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FQhyHDMTSjrZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "761503d9-5529-453f-d370-636f9ac79aed"
      },
      "source": [
        "df2['new_col'] = range(1, len(df2) + 1)\n",
        "df2"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user</th>\n",
              "      <th>trusted_</th>\n",
              "      <th>stars</th>\n",
              "      <th>time</th>\n",
              "      <th>paid</th>\n",
              "      <th>item</th>\n",
              "      <th>review</th>\n",
              "      <th>new_col</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>magenta321</td>\n",
              "      <td>1.0</td>\n",
              "      <td>996710400</td>\n",
              "      <td>9.99</td>\n",
              "      <td>Double_Six_Color_Dot_Dominos</td>\n",
              "      <td>i became a domino enthusiast while living in t...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>steph_tripp</td>\n",
              "      <td>1.0</td>\n",
              "      <td>996710400</td>\n",
              "      <td>9.99</td>\n",
              "      <td>Double_Six_Color_Dot_Dominos</td>\n",
              "      <td>i became a domino enthusiast while living in t...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>blimbach</td>\n",
              "      <td>1.0</td>\n",
              "      <td>996710400</td>\n",
              "      <td>9.99</td>\n",
              "      <td>Double_Six_Color_Dot_Dominos</td>\n",
              "      <td>i became a domino enthusiast while living in t...</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>freak369</td>\n",
              "      <td>1.0</td>\n",
              "      <td>996710400</td>\n",
              "      <td>9.99</td>\n",
              "      <td>Double_Six_Color_Dot_Dominos</td>\n",
              "      <td>i became a domino enthusiast while living in t...</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>chiquita</td>\n",
              "      <td>ginahill</td>\n",
              "      <td>1.0</td>\n",
              "      <td>996710400</td>\n",
              "      <td>9.99</td>\n",
              "      <td>Double_Six_Color_Dot_Dominos</td>\n",
              "      <td>i became a domino enthusiast while living in t...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1530396</th>\n",
              "      <td>kgrama</td>\n",
              "      <td>bonniesayers</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1072569600</td>\n",
              "      <td>202.0</td>\n",
              "      <td>hmgd-Large_Appliances-All-Vacuum_Cleaners-Kenm...</td>\n",
              "      <td>my kenmore and i have a lovehate relationship ...</td>\n",
              "      <td>1530397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1530397</th>\n",
              "      <td>kgrama</td>\n",
              "      <td>bonniesayers</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1042502400</td>\n",
              "      <td>280.0</td>\n",
              "      <td>Kodak_Easy_Share_DX4330_Digital_Camera_Digital...</td>\n",
              "      <td>the kodak easy share dx4330 digital camera was...</td>\n",
              "      <td>1530398</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1530398</th>\n",
              "      <td>markopolo7</td>\n",
              "      <td>lenny449</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1019520000</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>auto_Make-1998_Honda_Prelude</td>\n",
              "      <td>i bought this cat thinking i was going to modi...</td>\n",
              "      <td>1530399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1530399</th>\n",
              "      <td>roygpa</td>\n",
              "      <td>morilla</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1093132800</td>\n",
              "      <td>349.0</td>\n",
              "      <td>Eagle_IntelliMap_320_Recording_GPS_WAAS_Unit</td>\n",
              "      <td>ive had my intellimap 320 for about a year now...</td>\n",
              "      <td>1530400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1530400</th>\n",
              "      <td>roygpa</td>\n",
              "      <td>morilla</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1072051200</td>\n",
              "      <td>19.0</td>\n",
              "      <td>Girl_Tech_Password_Journal</td>\n",
              "      <td>my daughter received it as a christmas present...</td>\n",
              "      <td>1530401</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1530401 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               user  ...  new_col\n",
              "0          chiquita  ...        1\n",
              "1          chiquita  ...        2\n",
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        "fin['new_col'] = range(1, len(fin) + 1)\n",
        "fin"
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      "execution_count": 62,
      "outputs": [
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              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HawgWyld</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MattBjorke</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mommyof2qys</th>\n",
              "      <td>4.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pirich</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.722222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.722222</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.722222</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rocket1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>amyk49</th>\n",
              "      <td>0.0</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chiquita</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>craftswoman</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gooberpyle</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>holly1972</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>krnorup</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.2</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ladyhawk2_99</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.733333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
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              "      <td>4.0</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.0</td>\n",
              "      <td>...</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>18 rows × 2414 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "trusted_      1goodguy   1truluv  29th_candidate  ...  ztymaka  zumiez007     zuuel\n",
              "user                                              ...                              \n",
              "AnnieSlif          0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "BJL                0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "HawgWyld           0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "MattBjorke         0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "Mommyof2qys        4.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "Pirich             0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "Rocket1            0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "amyk49             0.0  3.666667        0.000000  ...      0.0        0.0  0.000000\n",
              "chiquita           0.0  0.000000        1.000000  ...      0.0        0.0  0.000000\n",
              "craftswoman        0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "gooberpyle         0.0  0.000000        0.000000  ...      0.0        0.0  2.333333\n",
              "holly1972          0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "krnorup            0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "ladyhawk2_99       0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "lambchops          0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "mattsgirl          0.0  0.000000        0.000000  ...      0.0        0.0  0.000000\n",
              "shantel575         0.0  0.000000        4.055556  ...      0.0        0.0  0.000000\n",
              "sparkospunky       0.0  4.000000        4.000000  ...      4.0        4.0  0.000000\n",
              "\n",
              "[18 rows x 2414 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5i-1z7245eMX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "f1=fin.head(13622)"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dhHIh2UjCtGH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "970a5da6-2d49-43cc-e3d2-1650659b0466"
      },
      "source": [
        "sc=f1.pivot_table(index='user',columns='trusted_',values='stars').fillna(0)\n",
        "sc"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>trusted_</th>\n",
              "      <th>4daisies</th>\n",
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              "      <th>C.S._Lewis</th>\n",
              "      <th>CaMc0506</th>\n",
              "      <th>CalebStover</th>\n",
              "      <th>Chatterbox</th>\n",
              "      <th>CovenantNetwork</th>\n",
              "      <th>DJames</th>\n",
              "      <th>DeputyHeadmistress</th>\n",
              "      <th>DivaColumbus</th>\n",
              "      <th>Doug1943</th>\n",
              "      <th>DrSalonen</th>\n",
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              "      <th>DusanDjukich</th>\n",
              "      <th>ElWantsBooks</th>\n",
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              "      <th>Elpenor</th>\n",
              "      <th>ErnieB</th>\n",
              "      <th>FAMeulstee</th>\n",
              "      <th>FelixQuiPotuit</th>\n",
              "      <th>FogCreek</th>\n",
              "      <th>GirlFromIpanema</th>\n",
              "      <th>GirlWonder</th>\n",
              "      <th>Grace_Elliot</th>\n",
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              "      <th>seanstickle</th>\n",
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              "      <th>snobles</th>\n",
              "      <th>soapServer</th>\n",
              "      <th>sonshi</th>\n",
              "      <th>sparksflyup</th>\n",
              "      <th>sriram_shankar</th>\n",
              "      <th>stephenaltrogge</th>\n",
              "      <th>stortemelk</th>\n",
              "      <th>suburbanchick</th>\n",
              "      <th>swaltersky</th>\n",
              "      <th>takkenbos</th>\n",
              "      <th>tantanel</th>\n",
              "      <th>tarpfarmer</th>\n",
              "      <th>tearnshaw</th>\n",
              "      <th>thecardiffgiant</th>\n",
              "      <th>theoldman</th>\n",
              "      <th>timspalding</th>\n",
              "      <th>tmspinks</th>\n",
              "      <th>tpettit</th>\n",
              "      <th>virgingloves</th>\n",
              "      <th>wakors4quakors</th>\n",
              "      <th>warriwul</th>\n",
              "      <th>wdavidlewis</th>\n",
              "      <th>wijnandgeert</th>\n",
              "      <th>wildbill</th>\n",
              "      <th>wimklee1933</th>\n",
              "      <th>words_dance</th>\n",
              "      <th>wrenhunt</th>\n",
              "      <th>wujastyk</th>\n",
              "      <th>yhoitink</th>\n",
              "      <th>yvso</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
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              "    <tr>\n",
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              "    <tr>\n",
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              "    <tr>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Jayne49</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>McWolf</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nharry</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.75</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RelaxedReader</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.631579</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.631579</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.631579</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.631579</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rodo</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SisGoldenhair</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tay11</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Waynex</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>angeliexists</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>bibliophileofalls</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.467213</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ccoppen</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ctmsjisc</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>darkpurpose</th>\n",
              "      <td>4.5</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.00</td>\n",
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              "    <tr>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>kbondelli</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.777778</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lara_aine</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lizamichelle1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lucy3107</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>perfectleft</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>psychodelicacy</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ratgoddess</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>reesa00</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.989865</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>szferris</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.682692</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>t1bnotown</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>thewalkinggirl</th>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.230088</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tikilights</th>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.84</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.000000</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>36 rows × 350 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "trusted_            4daisies      Adil  ...  yhoitink      yvso\n",
              "user                                    ...                    \n",
              "1000reads                0.0  0.000000  ...  0.000000  0.000000\n",
              "Angela.Kelkenberg        0.0  0.000000  ...  0.000000  0.000000\n",
              "CaMe0914                 0.0  0.000000  ...  0.000000  0.000000\n",
              "Damgaard78               0.0  0.000000  ...  0.000000  0.000000\n",
              "Gnorma                   0.0  0.000000  ...  0.000000  0.000000\n",
              "Jayne49                  0.0  0.000000  ...  0.000000  0.000000\n",
              "McWolf                   0.0  0.000000  ...  0.000000  0.000000\n",
              "Nharry                   0.0  0.000000  ...  0.000000  0.000000\n",
              "RelaxedReader            0.0  0.000000  ...  0.000000  0.000000\n",
              "Rodo                     0.0  0.000000  ...  0.000000  0.000000\n",
              "SisGoldenhair            0.0  0.000000  ...  0.000000  0.000000\n",
              "Tay11                    0.0  0.000000  ...  0.000000  0.000000\n",
              "Waynex                   0.0  0.000000  ...  0.000000  0.000000\n",
              "angeliexists             0.0  0.000000  ...  0.000000  0.000000\n",
              "bibliophileofalls        0.0  0.000000  ...  0.000000  0.000000\n",
              "ccoppen                  0.0  0.000000  ...  0.000000  0.000000\n",
              "ctmsjisc                 0.0  0.000000  ...  0.000000  0.000000\n",
              "darkpurpose              4.5  0.000000  ...  0.000000  0.000000\n",
              "dbookmaniac              0.0  0.000000  ...  0.000000  0.000000\n",
              "ejfertig                 0.0  0.000000  ...  0.000000  0.000000\n",
              "guurtjesboekenkast       0.0  0.000000  ...  4.069444  0.000000\n",
              "hnn                      0.0  3.272727  ...  0.000000  3.272727\n",
              "jeremiahstover           0.0  0.000000  ...  0.000000  0.000000\n",
              "justinsgirl2017          0.0  0.000000  ...  0.000000  0.000000\n",
              "kbondelli                0.0  0.000000  ...  0.000000  0.000000\n",
              "lara_aine                0.0  0.000000  ...  0.000000  0.000000\n",
              "lizamichelle1            0.0  0.000000  ...  0.000000  0.000000\n",
              "lucy3107                 0.0  0.000000  ...  0.000000  0.000000\n",
              "perfectleft              0.0  0.000000  ...  0.000000  0.000000\n",
              "psychodelicacy           0.0  0.000000  ...  0.000000  0.000000\n",
              "ratgoddess               0.0  0.000000  ...  0.000000  0.000000\n",
              "reesa00                  0.0  0.000000  ...  0.000000  0.000000\n",
              "szferris                 0.0  0.000000  ...  0.000000  0.000000\n",
              "t1bnotown                0.0  0.000000  ...  0.000000  0.000000\n",
              "thewalkinggirl           0.0  0.000000  ...  0.000000  0.000000\n",
              "tikilights               0.0  0.000000  ...  0.000000  0.000000\n",
              "\n",
              "[36 rows x 350 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cnm2axnwiUTg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cHp7z3qKiXYy",
        "colab_type": "text"
      },
      "source": [
        "## for epnion  data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EekwKgAw8Ngb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "outputId": "416eb812-c9bf-4cda-9811-12ea0977a6e6"
      },
      "source": [
        "from scipy.sparse import csr_matrix\n",
        "\n",
        "book_features_df_matrix = csr_matrix(soc.values)\n",
        "\n",
        "from sklearn.neighbors import NearestNeighbors\n",
        "model_knn = NearestNeighbors(metric = 'cosine', algorithm = 'brute')\n",
        "model_knn.fit(book_features_df_matrix)\n"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NearestNeighbors(algorithm='brute', leaf_size=30, metric='cosine',\n",
              "                 metric_params=None, n_jobs=None, n_neighbors=5, p=2,\n",
              "                 radius=1.0)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EtW-2agbYOHN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "b2c2dd61-a56d-4ddd-a81a-ce3050914cef"
      },
      "source": [
        "sc.shape"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(36, 350)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EETnac0WdVei",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "8bd77205-771d-48b9-9efd-0a70935ceaac"
      },
      "source": [
        "import numpy as np\n",
        "query_index = np.random.choice(soc.shape[0])\n",
        "print(query_index)\n",
        "distances, indices = model_knn.kneighbors(soc.iloc[query_index,:].values.reshape(1, -1), n_neighbors = 6)\n"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oR0XSHlndmau",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "outputId": "5461b693-a798-4df5-e268-72d0ff0feb83"
      },
      "source": [
        "soc.head()"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>aak0640</th>\n",
              "      <th>aardvaark</th>\n",
              "      <th>aashok</th>\n",
              "      <th>aawehr</th>\n",
              "      <th>absurd-ludvig</th>\n",
              "      <th>acdc711</th>\n",
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              "      <th>adadavis</th>\n",
              "      <th>adamandsherry</th>\n",
              "      <th>adamdude14</th>\n",
              "      <th>adamsjill</th>\n",
              "      <th>adfjgll</th>\n",
              "      <th>adjensen</th>\n",
              "      <th>aerisley</th>\n",
              "      <th>aeroslash</th>\n",
              "      <th>...</th>\n",
              "      <th>xiphoid</th>\n",
              "      <th>xlb57</th>\n",
              "      <th>xmovieloverx</th>\n",
              "      <th>xonyx</th>\n",
              "      <th>xosarahhox</th>\n",
              "      <th>xpander007</th>\n",
              "      <th>xraydude888</th>\n",
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              "      <th>xxxxer</th>\n",
              "      <th>xyzwyatt</th>\n",
              "      <th>xzoekrx</th>\n",
              "      <th>yakkowarner</th>\n",
              "      <th>yampy</th>\n",
              "      <th>yaranas</th>\n",
              "      <th>yarrick</th>\n",
              "      <th>yenfur</th>\n",
              "      <th>yoelc</th>\n",
              "      <th>yoshi4205</th>\n",
              "      <th>yotaruvegeta</th>\n",
              "      <th>youngchinq</th>\n",
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              "      <th>yubon2</th>\n",
              "      <th>yug_nayr</th>\n",
              "      <th>yusakugo</th>\n",
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              "      <th>zakmansonnet</th>\n",
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              "      <th>zonuts</th>\n",
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              "      <th>ztymaka</th>\n",
              "      <th>zumiez007</th>\n",
              "      <th>zuuel</th>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HawgWyld</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MattBjorke</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mommyof2qys</th>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 2414 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "trusted_     1goodguy  1truluv  29th_candidate  ...  ztymaka  zumiez007  zuuel\n",
              "user                                            ...                           \n",
              "AnnieSlif         0.0      0.0             0.0  ...      0.0        0.0    0.0\n",
              "BJL               0.0      0.0             0.0  ...      0.0        0.0    0.0\n",
              "HawgWyld          0.0      0.0             0.0  ...      0.0        0.0    0.0\n",
              "MattBjorke        0.0      0.0             0.0  ...      0.0        0.0    0.0\n",
              "Mommyof2qys       4.0      0.0             0.0  ...      0.0        0.0    0.0\n",
              "\n",
              "[5 rows x 2414 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u1UXrIqTdq_4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "1ca4e7ce-2e0e-4a9d-9ec6-4655347c6127"
      },
      "source": [
        "for i in range(0, len(distances.flatten())):\n",
        "    if i == 0:\n",
        "        print('Recommendations for {0}:\\n'.format(soc.index[query_index]))\n",
        "    else:\n",
        "        print('{0}: {1}, with distance of {2}:'.format(i, soc.index[indices.flatten()[i]], distances.flatten()[i]))"
      ],
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Recommendations for Pirich:\n",
            "\n",
            "1: craftswoman, with distance of 0.8517029908999058:\n",
            "2: shantel575, with distance of 0.8814410488423654:\n",
            "3: sparkospunky, with distance of 0.8866304960247607:\n",
            "4: ladyhawk2_99, with distance of 0.8908910548820038:\n",
            "5: amyk49, with distance of 0.8982779463388848:\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ih7QIEmmhKBA",
        "colab_type": "text"
      },
      "source": [
        ""
      ]
    }
  ]
}