Project3-workflow.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merge CSV files for NBA subreddit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libaries\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from nltk.tokenize import sent_tokenize, word_tokenize, RegexpTokenizer\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer, TfidfTransformer\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.corpus import stopwords\n",
    "import string\n",
    "import regex as re\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score\n",
    "from sklearn.linear_model import LogisticRegression, LogisticRegressionCV\n",
    "import requests\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier\n",
    "from sklearn.metrics import confusion_matrix\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'C:\\\\Users\\\\Tiffy\\\\Documents\\\\dsir\\\\Submissions\\\\projects\\\\project_3-master\\\\data\\\\'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# change max rows to 3000\n",
    "pd.options.display.max_rows = 3000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# change max rows to 3000\n",
    "pd.options.display.max_rows = 3000\n",
    "# change max columns to 999\n",
    "pd.options.display.max_columns = 999"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 84)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#I made the data folder to put all of the csv files in but \n",
    "#when I move the csv's to the data folder they no longer run in the notebook\n",
    "dfnba1 = pd.read_csv('nba1.csv')\n",
    "dfnba2 = pd.read_csv('nba2.csv')\n",
    "dfnba3 = pd.read_csv('nba3.csv')\n",
    "dfnba4 = pd.read_csv('nba4.csv')\n",
    "dfnba5 = pd.read_csv('nba5.csv')\n",
    "dfnba6 = pd.read_csv('nba6.csv')\n",
    "dfnba7 = pd.read_csv('nba7.csv')\n",
    "dfnba8 = pd.read_csv('nba8.csv')\n",
    "dfnba9 = pd.read_csv('nba9.csv')\n",
    "dfnba99 = pd.read_csv('nba99.csv')\n",
    "df_nba = pd.concat([dfnba1,dfnba2,dfnba3,dfnba4,dfnba5,dfnba6,dfnba7,dfnba8,dfnba9,dfnba99])\n",
    "\n",
    "df_nba.shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now merge CSV files for NBA-Discussion subreddit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 79)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfnbadisc0 = pd.read_csv('nba_disc0.csv')\n",
    "dfnbadisc1 = pd.read_csv('nba_disc1.csv')\n",
    "dfnbadisc2 = pd.read_csv('nba_disc2.csv')\n",
    "dfnbadisc3 = pd.read_csv('nba_disc3.csv')\n",
    "dfnbadisc4 = pd.read_csv('nba_disc4.csv')\n",
    "dfnbadisc5 = pd.read_csv('nba_disc5.csv')\n",
    "dfnbadisc6 = pd.read_csv('nba_disc6.csv')\n",
    "dfnbadisc7 = pd.read_csv('nba_disc7.csv')\n",
    "dfnbadisc8 = pd.read_csv('nba_disc8.csv')\n",
    "dfnbadisc9 = pd.read_csv('nba_disc9.csv')\n",
    "df_nbadisc = pd.concat([dfnbadisc0,dfnbadisc1,dfnbadisc2,dfnbadisc3,dfnbadisc4,dfnbadisc5,dfnbadisc6,dfnbadisc7,dfnbadisc8,dfnbadisc9])\n",
    "\n",
    "df_nbadisc.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export DF's \n",
    "df_nbadisc.to_csv('.\\\\nbadisc.csv', index=False)\n",
    "df_nba.to_csv('.\\\\nba.csv', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge the dataframes to make df\n",
    "\n",
    "# dataframes = [dfnbadisc0,dfnbadisc1,dfnbadisc2,dfnbadisc3,dfnbadisc4,dfnbadisc5,dfnbadisc6,dfnbadisc7,dfnbadisc8,dfnbadisc9,dfnba1,dfnba2,dfnba3,dfnba4,dfnba5,dfnba6,dfnba7,dfnba8,dfnba9,dfnba99]\n",
    "# df = pd.concat(dataframes, join = 'outer' ,ignore_index=True)\n",
    "# df.to_csv('combined.csv', index=False) # don't forget to change this\n",
    "\n",
    "combined = pd.concat([df_nba, df_nbadisc])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10000, 90)\n"
     ]
    },
    {
     "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>Unnamed: 0</th>\n",
       "      <th>all_awardings</th>\n",
       "      <th>allow_live_comments</th>\n",
       "      <th>author</th>\n",
       "      <th>author_flair_css_class</th>\n",
       "      <th>author_flair_richtext</th>\n",
       "      <th>author_flair_template_id</th>\n",
       "      <th>author_flair_text</th>\n",
       "      <th>author_flair_text_color</th>\n",
       "      <th>author_flair_type</th>\n",
       "      <th>author_fullname</th>\n",
       "      <th>author_patreon_flair</th>\n",
       "      <th>author_premium</th>\n",
       "      <th>awarders</th>\n",
       "      <th>can_mod_post</th>\n",
       "      <th>contest_mode</th>\n",
       "      <th>created_utc</th>\n",
       "      <th>domain</th>\n",
       "      <th>full_link</th>\n",
       "      <th>gildings</th>\n",
       "      <th>id</th>\n",
       "      <th>is_crosspostable</th>\n",
       "      <th>is_meta</th>\n",
       "      <th>is_original_content</th>\n",
       "      <th>is_reddit_media_domain</th>\n",
       "      <th>is_robot_indexable</th>\n",
       "      <th>is_self</th>\n",
       "      <th>is_video</th>\n",
       "      <th>link_flair_background_color</th>\n",
       "      <th>link_flair_richtext</th>\n",
       "      <th>link_flair_text_color</th>\n",
       "      <th>link_flair_type</th>\n",
       "      <th>locked</th>\n",
       "      <th>media</th>\n",
       "      <th>media_embed</th>\n",
       "      <th>media_only</th>\n",
       "      <th>no_follow</th>\n",
       "      <th>num_comments</th>\n",
       "      <th>num_crossposts</th>\n",
       "      <th>over_18</th>\n",
       "      <th>parent_whitelist_status</th>\n",
       "      <th>permalink</th>\n",
       "      <th>pinned</th>\n",
       "      <th>post_hint</th>\n",
       "      <th>preview</th>\n",
       "      <th>pwls</th>\n",
       "      <th>retrieved_on</th>\n",
       "      <th>score</th>\n",
       "      <th>secure_media</th>\n",
       "      <th>secure_media_embed</th>\n",
       "      <th>selftext</th>\n",
       "      <th>send_replies</th>\n",
       "      <th>spoiler</th>\n",
       "      <th>stickied</th>\n",
       "      <th>subreddit</th>\n",
       "      <th>subreddit_id</th>\n",
       "      <th>subreddit_subscribers</th>\n",
       "      <th>subreddit_type</th>\n",
       "      <th>thumbnail</th>\n",
       "      <th>thumbnail_height</th>\n",
       "      <th>thumbnail_width</th>\n",
       "      <th>title</th>\n",
       "      <th>total_awards_received</th>\n",
       "      <th>treatment_tags</th>\n",
       "      <th>upvote_ratio</th>\n",
       "      <th>url</th>\n",
       "      <th>whitelist_status</th>\n",
       "      <th>wls</th>\n",
       "      <th>author_flair_background_color</th>\n",
       "      <th>removed_by_category</th>\n",
       "      <th>link_flair_css_class</th>\n",
       "      <th>link_flair_text</th>\n",
       "      <th>edited</th>\n",
       "      <th>crosspost_parent</th>\n",
       "      <th>crosspost_parent_list</th>\n",
       "      <th>banned_by</th>\n",
       "      <th>media_metadata</th>\n",
       "      <th>distinguished</th>\n",
       "      <th>suggested_sort</th>\n",
       "      <th>author_cakeday</th>\n",
       "      <th>link_flair_template_id</th>\n",
       "      <th>event_end</th>\n",
       "      <th>event_is_live</th>\n",
       "      <th>event_start</th>\n",
       "      <th>steward_reports</th>\n",
       "      <th>removed_by</th>\n",
       "      <th>updated_utc</th>\n",
       "      <th>og_description</th>\n",
       "      <th>og_title</th>\n",
       "      <th>gilded</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>Ace_FGC</td>\n",
       "      <td>Lakers1</td>\n",
       "      <td>[]</td>\n",
       "      <td>cc0d49ae-3feb-11e8-8327-0e3e867879aa</td>\n",
       "      <td>Lakers</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>t2_2q0bzh9</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1590093767</td>\n",
       "      <td>youtu.be</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4v2w/m...</td>\n",
       "      <td>{}</td>\n",
       "      <td>go4v2w</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>False</td>\n",
       "      <td>{'oembed': {'author_name': 'PeteyInc', 'author...</td>\n",
       "      <td>{'content': '&amp;lt;iframe width=\"459\" height=\"34...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>/r/nba/comments/go4v2w/michael_jordan_hits_his...</td>\n",
       "      <td>False</td>\n",
       "      <td>rich:video</td>\n",
       "      <td>{'enabled': False, 'images': [{'id': 'fZpmI_66...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1590094957</td>\n",
       "      <td>6</td>\n",
       "      <td>{'oembed': {'author_name': 'PeteyInc', 'author...</td>\n",
       "      <td>{'content': '&amp;lt;iframe width=\"459\" height=\"34...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>nba</td>\n",
       "      <td>t5_2qo4s</td>\n",
       "      <td>3270998</td>\n",
       "      <td>public</td>\n",
       "      <td>image</td>\n",
       "      <td>105.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Michael Jordan hits his head on the backboard ...</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://youtu.be/MIToOgJj6Xg</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>ank1613</td>\n",
       "      <td>76ers3</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[PHI] Tony Wroten</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>t2_8qreg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1590093701</td>\n",
       "      <td>self.nba</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4ubl/f...</td>\n",
       "      <td>{}</td>\n",
       "      <td>go4ubl</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>/r/nba/comments/go4ubl/fun_andor_neat_gleague_...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1590094895</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&amp;amp;#x200B;\\n\\n|Record|Total|Holder|Year|Note...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>nba</td>\n",
       "      <td>t5_2qo4s</td>\n",
       "      <td>3270996</td>\n",
       "      <td>public</td>\n",
       "      <td>self</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fun and/or Neat G-League Single Season Records</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4ubl/f...</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>zerodc4213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>text</td>\n",
       "      <td>t2_mds6k5r</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1590093645</td>\n",
       "      <td>self.nba</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4tpk/h...</td>\n",
       "      <td>{}</td>\n",
       "      <td>go4tpk</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>/r/nba/comments/go4tpk/has_anyone_read_jordan_...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1590094843</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>I’m wondering if it’s worth a read, or if it’s...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>nba</td>\n",
       "      <td>t5_2qo4s</td>\n",
       "      <td>3270995</td>\n",
       "      <td>public</td>\n",
       "      <td>self</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Has anyone read “Jordan Rules?”</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4tpk/h...</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>JAhoops</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>text</td>\n",
       "      <td>t2_6hkv019b</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1590093619</td>\n",
       "      <td>self.nba</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4tf9/t...</td>\n",
       "      <td>{}</td>\n",
       "      <td>go4tf9</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>/r/nba/comments/go4tf9/top_5_individual_seasons/</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1590094820</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[removed]</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>nba</td>\n",
       "      <td>t5_2qo4s</td>\n",
       "      <td>3270994</td>\n",
       "      <td>public</td>\n",
       "      <td>self</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Top 5 Individual Seasons</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4tf9/t...</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>moderator</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>tx180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>text</td>\n",
       "      <td>t2_2qowaw</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1590093284</td>\n",
       "      <td>twitter.com</td>\n",
       "      <td>https://www.reddit.com/r/nba/comments/go4pmv/n...</td>\n",
       "      <td>{}</td>\n",
       "      <td>go4pmv</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>dark</td>\n",
       "      <td>text</td>\n",
       "      <td>False</td>\n",
       "      <td>{'oembed': {'author_name': 'John Geiger', 'aut...</td>\n",
       "      <td>{'content': '&amp;lt;blockquote class=\"twitter-vid...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>/r/nba/comments/go4pmv/nba_back_june_21/</td>\n",
       "      <td>False</td>\n",
       "      <td>link</td>\n",
       "      <td>{'enabled': False, 'images': [{'id': 'ixcSWVrM...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1590094503</td>\n",
       "      <td>1</td>\n",
       "      <td>{'oembed': {'author_name': 'John Geiger', 'aut...</td>\n",
       "      <td>{'content': '&amp;lt;blockquote class=\"twitter-vid...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>nba</td>\n",
       "      <td>t5_2qo4s</td>\n",
       "      <td>3270988</td>\n",
       "      <td>public</td>\n",
       "      <td>default</td>\n",
       "      <td>140.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NBA back June 21</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.0</td>\n",
       "      <td>https://twitter.com/JohnGeiger_/status/1263545...</td>\n",
       "      <td>all_ads</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>moderator</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 all_awardings allow_live_comments      author  \\\n",
       "0           0            []               False     Ace_FGC   \n",
       "1           1            []               False     ank1613   \n",
       "2           2            []               False  zerodc4213   \n",
       "3           3            []               False     JAhoops   \n",
       "4           4            []               False       tx180   \n",
       "\n",
       "  author_flair_css_class author_flair_richtext  \\\n",
       "0                Lakers1                    []   \n",
       "1                 76ers3                    []   \n",
       "2                    NaN                    []   \n",
       "3                    NaN                    []   \n",
       "4                    NaN                    []   \n",
       "\n",
       "               author_flair_template_id  author_flair_text  \\\n",
       "0  cc0d49ae-3feb-11e8-8327-0e3e867879aa             Lakers   \n",
       "1                                   NaN  [PHI] Tony Wroten   \n",
       "2                                   NaN                NaN   \n",
       "3                                   NaN                NaN   \n",
       "4                                   NaN                NaN   \n",
       "\n",
       "  author_flair_text_color author_flair_type author_fullname  \\\n",
       "0                    dark              text      t2_2q0bzh9   \n",
       "1                    dark              text        t2_8qreg   \n",
       "2                     NaN              text      t2_mds6k5r   \n",
       "3                     NaN              text     t2_6hkv019b   \n",
       "4                     NaN              text       t2_2qowaw   \n",
       "\n",
       "  author_patreon_flair author_premium awarders  can_mod_post  contest_mode  \\\n",
       "0                False          False       []         False         False   \n",
       "1                False          False       []         False         False   \n",
       "2                False          False       []         False         False   \n",
       "3                False          False       []         False         False   \n",
       "4                False           True       []         False         False   \n",
       "\n",
       "   created_utc       domain  \\\n",
       "0   1590093767     youtu.be   \n",
       "1   1590093701     self.nba   \n",
       "2   1590093645     self.nba   \n",
       "3   1590093619     self.nba   \n",
       "4   1590093284  twitter.com   \n",
       "\n",
       "                                           full_link gildings      id  \\\n",
       "0  https://www.reddit.com/r/nba/comments/go4v2w/m...       {}  go4v2w   \n",
       "1  https://www.reddit.com/r/nba/comments/go4ubl/f...       {}  go4ubl   \n",
       "2  https://www.reddit.com/r/nba/comments/go4tpk/h...       {}  go4tpk   \n",
       "3  https://www.reddit.com/r/nba/comments/go4tf9/t...       {}  go4tf9   \n",
       "4  https://www.reddit.com/r/nba/comments/go4pmv/n...       {}  go4pmv   \n",
       "\n",
       "   is_crosspostable  is_meta  is_original_content  is_reddit_media_domain  \\\n",
       "0              True    False                False                   False   \n",
       "1              True    False                False                   False   \n",
       "2              True    False                False                   False   \n",
       "3             False    False                False                   False   \n",
       "4             False    False                False                   False   \n",
       "\n",
       "   is_robot_indexable  is_self  is_video link_flair_background_color  \\\n",
       "0                True    False     False                         NaN   \n",
       "1                True     True     False                         NaN   \n",
       "2                True     True     False                         NaN   \n",
       "3               False     True     False                         NaN   \n",
       "4               False    False     False                         NaN   \n",
       "\n",
       "  link_flair_richtext link_flair_text_color link_flair_type  locked  \\\n",
       "0                  []                  dark            text   False   \n",
       "1                  []                  dark            text   False   \n",
       "2                  []                  dark            text   False   \n",
       "3                  []                  dark            text   False   \n",
       "4                  []                  dark            text   False   \n",
       "\n",
       "                                               media  \\\n",
       "0  {'oembed': {'author_name': 'PeteyInc', 'author...   \n",
       "1                                                NaN   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4  {'oembed': {'author_name': 'John Geiger', 'aut...   \n",
       "\n",
       "                                         media_embed  media_only  no_follow  \\\n",
       "0  {'content': '&lt;iframe width=\"459\" height=\"34...       False      False   \n",
       "1                                                NaN       False      False   \n",
       "2                                                NaN       False      False   \n",
       "3                                                NaN       False       True   \n",
       "4  {'content': '&lt;blockquote class=\"twitter-vid...       False       True   \n",
       "\n",
       "   num_comments  num_crossposts  over_18 parent_whitelist_status  \\\n",
       "0             0               0    False                 all_ads   \n",
       "1             2               0    False                 all_ads   \n",
       "2             3               0    False                 all_ads   \n",
       "3             0               0    False                 all_ads   \n",
       "4             0               0    False                 all_ads   \n",
       "\n",
       "                                           permalink  pinned   post_hint  \\\n",
       "0  /r/nba/comments/go4v2w/michael_jordan_hits_his...   False  rich:video   \n",
       "1  /r/nba/comments/go4ubl/fun_andor_neat_gleague_...   False         NaN   \n",
       "2  /r/nba/comments/go4tpk/has_anyone_read_jordan_...   False         NaN   \n",
       "3   /r/nba/comments/go4tf9/top_5_individual_seasons/   False         NaN   \n",
       "4           /r/nba/comments/go4pmv/nba_back_june_21/   False        link   \n",
       "\n",
       "                                             preview  pwls  retrieved_on  \\\n",
       "0  {'enabled': False, 'images': [{'id': 'fZpmI_66...   6.0    1590094957   \n",
       "1                                                NaN   6.0    1590094895   \n",
       "2                                                NaN   6.0    1590094843   \n",
       "3                                                NaN   6.0    1590094820   \n",
       "4  {'enabled': False, 'images': [{'id': 'ixcSWVrM...   6.0    1590094503   \n",
       "\n",
       "   score                                       secure_media  \\\n",
       "0      6  {'oembed': {'author_name': 'PeteyInc', 'author...   \n",
       "1      3                                                NaN   \n",
       "2      4                                                NaN   \n",
       "3      1                                                NaN   \n",
       "4      1  {'oembed': {'author_name': 'John Geiger', 'aut...   \n",
       "\n",
       "                                  secure_media_embed  \\\n",
       "0  {'content': '&lt;iframe width=\"459\" height=\"34...   \n",
       "1                                                NaN   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4  {'content': '&lt;blockquote class=\"twitter-vid...   \n",
       "\n",
       "                                            selftext  send_replies  spoiler  \\\n",
       "0                                                NaN          True    False   \n",
       "1  &amp;#x200B;\\n\\n|Record|Total|Holder|Year|Note...          True    False   \n",
       "2  I’m wondering if it’s worth a read, or if it’s...          True    False   \n",
       "3                                          [removed]          True    False   \n",
       "4                                                NaN          True    False   \n",
       "\n",
       "   stickied subreddit subreddit_id  subreddit_subscribers subreddit_type  \\\n",
       "0     False       nba     t5_2qo4s                3270998         public   \n",
       "1     False       nba     t5_2qo4s                3270996         public   \n",
       "2     False       nba     t5_2qo4s                3270995         public   \n",
       "3     False       nba     t5_2qo4s                3270994         public   \n",
       "4     False       nba     t5_2qo4s                3270988         public   \n",
       "\n",
       "  thumbnail  thumbnail_height  thumbnail_width  \\\n",
       "0     image             105.0            140.0   \n",
       "1      self               NaN              NaN   \n",
       "2      self               NaN              NaN   \n",
       "3      self               NaN              NaN   \n",
       "4   default             140.0            140.0   \n",
       "\n",
       "                                               title  total_awards_received  \\\n",
       "0  Michael Jordan hits his head on the backboard ...                      0   \n",
       "1     Fun and/or Neat G-League Single Season Records                      0   \n",
       "2                    Has anyone read “Jordan Rules?”                      0   \n",
       "3                           Top 5 Individual Seasons                      0   \n",
       "4                                   NBA back June 21                      0   \n",
       "\n",
       "  treatment_tags  upvote_ratio  \\\n",
       "0             []           1.0   \n",
       "1             []           1.0   \n",
       "2             []           1.0   \n",
       "3             []           1.0   \n",
       "4             []           1.0   \n",
       "\n",
       "                                                 url whitelist_status  wls  \\\n",
       "0                       https://youtu.be/MIToOgJj6Xg          all_ads  6.0   \n",
       "1  https://www.reddit.com/r/nba/comments/go4ubl/f...          all_ads  6.0   \n",
       "2  https://www.reddit.com/r/nba/comments/go4tpk/h...          all_ads  6.0   \n",
       "3  https://www.reddit.com/r/nba/comments/go4tf9/t...          all_ads  6.0   \n",
       "4  https://twitter.com/JohnGeiger_/status/1263545...          all_ads  6.0   \n",
       "\n",
       "   author_flair_background_color removed_by_category link_flair_css_class  \\\n",
       "0                            NaN                 NaN                  NaN   \n",
       "1                            NaN                 NaN                  NaN   \n",
       "2                            NaN                 NaN                  NaN   \n",
       "3                            NaN           moderator                  NaN   \n",
       "4                            NaN           moderator                  NaN   \n",
       "\n",
       "  link_flair_text  edited crosspost_parent crosspost_parent_list banned_by  \\\n",
       "0             NaN     NaN              NaN                   NaN       NaN   \n",
       "1             NaN     NaN              NaN                   NaN       NaN   \n",
       "2             NaN     NaN              NaN                   NaN       NaN   \n",
       "3             NaN     NaN              NaN                   NaN       NaN   \n",
       "4             NaN     NaN              NaN                   NaN       NaN   \n",
       "\n",
       "  media_metadata distinguished suggested_sort author_cakeday  \\\n",
       "0            NaN           NaN            NaN            NaN   \n",
       "1            NaN           NaN            NaN            NaN   \n",
       "2            NaN           NaN            NaN            NaN   \n",
       "3            NaN           NaN            NaN            NaN   \n",
       "4            NaN           NaN            NaN            NaN   \n",
       "\n",
       "  link_flair_template_id  event_end event_is_live  event_start  \\\n",
       "0                    NaN        NaN           NaN          NaN   \n",
       "1                    NaN        NaN           NaN          NaN   \n",
       "2                    NaN        NaN           NaN          NaN   \n",
       "3                    NaN        NaN           NaN          NaN   \n",
       "4                    NaN        NaN           NaN          NaN   \n",
       "\n",
       "  steward_reports removed_by  updated_utc  og_description  og_title  gilded  \n",
       "0             NaN        NaN          NaN             NaN       NaN     NaN  \n",
       "1             NaN        NaN          NaN             NaN       NaN     NaN  \n",
       "2             NaN        NaN          NaN             NaN       NaN     NaN  \n",
       "3             NaN        NaN          NaN             NaN       NaN     NaN  \n",
       "4             NaN        NaN          NaN             NaN       NaN     NaN  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(combined.shape)\n",
    "combined.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clean Up Data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # dropped duplicates just in case\n",
    "# df_nbadisc.drop_duplicates(inplace=True)\n",
    "# df_nba.drop_duplicates(inplace=True)\n",
    "# df.drop_duplicates(inplace=True)\n",
    "\n",
    "combined.drop_duplicates(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['unnamed:_0', 'all_awardings', 'allow_live_comments', 'author',\n",
       "       'author_flair_css_class', 'author_flair_richtext',\n",
       "       'author_flair_template_id', 'author_flair_text',\n",
       "       'author_flair_text_color', 'author_flair_type', 'author_fullname',\n",
       "       'author_patreon_flair', 'author_premium', 'awarders', 'can_mod_post',\n",
       "       'contest_mode', 'created_utc', 'domain', 'full_link', 'gildings', 'id',\n",
       "       'is_crosspostable', 'is_meta', 'is_original_content',\n",
       "       'is_reddit_media_domain', 'is_robot_indexable', 'is_self', 'is_video',\n",
       "       'link_flair_background_color', 'link_flair_richtext',\n",
       "       'link_flair_text_color', 'link_flair_type', 'locked', 'media',\n",
       "       'media_embed', 'media_only', 'no_follow', 'num_comments',\n",
       "       'num_crossposts', 'over_18', 'parent_whitelist_status', 'permalink',\n",
       "       'pinned', 'post_hint', 'preview', 'pwls', 'retrieved_on', 'score',\n",
       "       'secure_media', 'secure_media_embed', 'selftext', 'send_replies',\n",
       "       'spoiler', 'stickied', 'subreddit', 'subreddit_id',\n",
       "       'subreddit_subscribers', 'subreddit_type', 'thumbnail',\n",
       "       'thumbnail_height', 'thumbnail_width', 'title', 'total_awards_received',\n",
       "       'treatment_tags', 'upvote_ratio', 'url', 'whitelist_status', 'wls',\n",
       "       'author_flair_background_color', 'removed_by_category',\n",
       "       'link_flair_css_class', 'link_flair_text', 'edited', 'crosspost_parent',\n",
       "       'crosspost_parent_list', 'banned_by', 'media_metadata', 'distinguished',\n",
       "       'suggested_sort', 'author_cakeday', 'link_flair_template_id',\n",
       "       'event_end', 'event_is_live', 'event_start', 'steward_reports',\n",
       "       'removed_by', 'updated_utc', 'og_description', 'og_title', 'gilded'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert all columns to lowercase and replace spaces in column names.\n",
    "combined.columns.str.lower().str.replace(' ', '_')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# export newly cleaned/merged csv\n",
    "combined.to_csv('.\\\\clean.csv', index = False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import back in to do further cleaning/modeling\n",
    "combined = pd.read_csv('.\\\\clean.csv', usecols=['subreddit', 'title'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9501, 2)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#combined df rows and column count \n",
    "#drops rows with missing values and makes permanent\n",
    "combined.dropna(inplace=True)\n",
    "combined.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9501 entries, 0 to 9500\n",
      "Data columns (total 2 columns):\n",
      " #   Column     Non-Null Count  Dtype \n",
      "---  ------     --------------  ----- \n",
      " 0   subreddit  9501 non-null   object\n",
      " 1   title      9501 non-null   object\n",
      "dtypes: object(2)\n",
      "memory usage: 222.7+ KB\n"
     ]
    }
   ],
   "source": [
    "combined.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nbadiscussion    5000\n",
       "nba              4501\n",
       "Name: subreddit, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined['subreddit'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#gives subreddit column binary values (nbadiscussion=1, nba=0)\n",
    "combined['subreddit'] = combined['subreddit'].map({'nba': 0, 'nbadiscussion': 1})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create X and Y variables\n",
    "X = combined[\"title\"]\n",
    "y = combined[\"subreddit\"]\n",
    "\n",
    "# #Split data to train and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,\n",
    "                                                    y,\n",
    "                                                    test_size=0.33,\n",
    "                                                    stratify=y,\n",
    "                                                    random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    0.52626\n",
       "0    0.47374\n",
       "Name: subreddit, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gives us baseline percentages \n",
    "y.value_counts(normalize=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic Regression with CountVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(memory=None,\n",
       "         steps=[('cv',\n",
       "                 CountVectorizer(analyzer='word', binary=False,\n",
       "                                 decode_error='strict',\n",
       "                                 dtype=<class 'numpy.int64'>, encoding='utf-8',\n",
       "                                 input='content', lowercase=True, max_df=1.0,\n",
       "                                 max_features=None, min_df=1,\n",
       "                                 ngram_range=(1, 1), preprocessor=None,\n",
       "                                 stop_words=None, strip_accents=None,\n",
       "                                 token_pattern='(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
       "                                 tokenizer=None, vocabulary=None)),\n",
       "                ('lr',\n",
       "                 LogisticRegression(C=1.0, class_weight=None, dual=False,\n",
       "                                    fit_intercept=True, intercept_scaling=1,\n",
       "                                    l1_ratio=None, max_iter=100,\n",
       "                                    multi_class='auto', n_jobs=None,\n",
       "                                    penalty='l2', random_state=None,\n",
       "                                    solver='liblinear', tol=0.0001, verbose=0,\n",
       "                                    warm_start=False))],\n",
       "         verbose=False)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#assuming I get the tokenizers to run should I still use Count vector? Or tfidf? \n",
    "#Create the Pipelines for count vectorizers and log.reg for the models\n",
    "pipe_cv = Pipeline([\n",
    "    ('cv', CountVectorizer()), \n",
    "    ('lr', LogisticRegression(solver = 'liblinear')) \n",
    "])\n",
    "                \n",
    "            \n",
    "#set hyperparameters for countvectorizer\n",
    "#lesson 5.04\n",
    "pipe_params = {\n",
    "    'cv__max_features': [300, 500, 700], \n",
    "    'cv__min_df': [2],\n",
    "    'cv__max_df': [.8, .9],\n",
    "    'cv__ngram_range': [(1,2)]\n",
    "}\n",
    "\n",
    "# Fit the model\n",
    "pipe_cv.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Instantiate GridSearchCV -lesson 5.04\n",
    "gs_cv = GridSearchCV(pipe_cv, # what object are we optimizing?\n",
    "                  pipe_params, # what parameters values are we searching?\n",
    "                  cv=5) # 5-fold cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=3, error_score=nan,\n",
       "             estimator=Pipeline(memory=None,\n",
       "                                steps=[('cv',\n",
       "                                        CountVectorizer(analyzer='word',\n",
       "                                                        binary=False,\n",
       "                                                        decode_error='strict',\n",
       "                                                        dtype=<class 'numpy.int64'>,\n",
       "                                                        encoding='utf-8',\n",
       "                                                        input='content',\n",
       "                                                        lowercase=True,\n",
       "                                                        max_df=1.0,\n",
       "                                                        max_features=None,\n",
       "                                                        min_df=1,\n",
       "                                                        ngram_range=(1, 1),\n",
       "                                                        preprocessor=None,\n",
       "                                                        stop_words=None,\n",
       "                                                        strip_accents=None,\n",
       "                                                        token_pattern='(?u)\\\\...\n",
       "                                                           multi_class='auto',\n",
       "                                                           n_jobs=None,\n",
       "                                                           penalty='l2',\n",
       "                                                           random_state=None,\n",
       "                                                           solver='liblinear',\n",
       "                                                           tol=0.0001,\n",
       "                                                           verbose=0,\n",
       "                                                           warm_start=False))],\n",
       "                                verbose=False),\n",
       "             iid='deprecated', n_jobs=None,\n",
       "             param_grid={'cv__max_df': [0.8, 0.9],\n",
       "                         'cv__max_features': [300, 500, 700], 'cv__min_df': [2],\n",
       "                         'cv__ngram_range': [(1, 2)]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring=None, verbose=0)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # Fit GridSearch to training data.\n",
    "gs_cv.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6873533118762261"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What's the best score?\n",
    "gs_cv.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save best model as gs_model.\n",
    "gs_model = gs_cv.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cv__max_df': 0.8,\n",
       " 'cv__max_features': 700,\n",
       " 'cv__min_df': 2,\n",
       " 'cv__ngram_range': (1, 2)}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#score of cross validation\n",
    "gs_cv.best_params_ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression CV Testing Score:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.7673212882953653"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Score model on training set.\n",
    "print('Logistic Regression CV Training Score:')\n",
    "gs_model.score(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression CV Testing Score:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.7021683673469388"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Score model on testing set.\n",
    "print('Logistic Regression CV Testing Score:')\n",
    "gs_model.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 945,  541],\n",
       "       [ 393, 1257]], dtype=int64)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html\n",
    "#make the confusion matrix\n",
    "cv_confusion = gs_cv.fit(X_train, y_train)\n",
    "#set predictions variable\n",
    "predictions = cv_confusion.predict(X_test)\n",
    "#extracts each value\n",
    "tn, fp, fn, tp = confusion_matrix(y_test, predictions).ravel()\n",
    "#creates matrix\n",
    "confusion_matrix(y_test, predictions)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7021683673469388\n"
     ]
    }
   ],
   "source": [
    "lr_cv_accuracy = (tn + tp)/(tn + tp + fp + fn)\n",
    "print(lr_cv_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multinomial Naive Bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.2s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done  60 out of  60 | elapsed:   17.2s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score=nan,\n",
       "             estimator=Pipeline(memory=None,\n",
       "                                steps=[('tf',\n",
       "                                        TfidfVectorizer(analyzer='word',\n",
       "                                                        binary=False,\n",
       "                                                        decode_error='strict',\n",
       "                                                        dtype=<class 'numpy.float64'>,\n",
       "                                                        encoding='utf-8',\n",
       "                                                        input='content',\n",
       "                                                        lowercase=True,\n",
       "                                                        max_df=1.0,\n",
       "                                                        max_features=None,\n",
       "                                                        min_df=1,\n",
       "                                                        ngram_range=(1, 1),\n",
       "                                                        norm='l2',\n",
       "                                                        preprocessor=None,\n",
       "                                                        smooth_idf=True,\n",
       "                                                        stop_words=None,\n",
       "                                                        strip_accent...\n",
       "                                                        tokenizer=None,\n",
       "                                                        use_idf=True,\n",
       "                                                        vocabulary=None)),\n",
       "                                       ('mnm',\n",
       "                                        MultinomialNB(alpha=1.0,\n",
       "                                                      class_prior=None,\n",
       "                                                      fit_prior=True))],\n",
       "                                verbose=False),\n",
       "             iid='deprecated', n_jobs=None,\n",
       "             param_grid={'tf__max_features': [400, 500, 600],\n",
       "                         'tf__ngram_range': [(1, 2), (1, 3)],\n",
       "                         'tf__stop_words': [None, 'english']},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring=None, verbose=2)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#what is the ngram range doing again??\n",
    "\n",
    "mnm_pipe = Pipeline([\n",
    "    ('tf', TfidfVectorizer()),\n",
    "    ('mnm', MultinomialNB())\n",
    "])\n",
    "\n",
    "mnm_params = {\n",
    "    'tf__stop_words': [None, 'english'],\n",
    "    'tf__max_features': [400, 500, 600,], \n",
    "    'tf__ngram_range': [(1, 2), (1, 3)]\n",
    "}\n",
    "\n",
    "gs_mnm_tf = GridSearchCV(mnm_pipe, \n",
    "                        param_grid=mnm_params,\n",
    "                        cv=5,\n",
    "                        verbose=2)\n",
    "    \n",
    "gs_mnm_tf.fit(X_train, y_train)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6996072270227808\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'tf__max_features': 600, 'tf__ngram_range': (1, 3), 'tf__stop_words': None}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(gs_mnm_tf.best_score_)\n",
    "gs_mnm_tf.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Multinomial Train Score: 0.7271013354281225\n",
      "Multinomial Test Score: 0.6897321428571429\n"
     ]
    }
   ],
   "source": [
    "print('Multinomial Train Score:', gs_mnm_tf.score(X_train, y_train))\n",
    "print('Multinomial Test Score:', gs_mnm_tf.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.2s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=400, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=500, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=None, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 2), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.4s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=None, total=   0.5s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.2s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n",
      "[CV] tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english \n",
      "[CV]  tf__max_features=600, tf__ngram_range=(1, 3), tf__stop_words=english, total=   0.3s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done  60 out of  60 | elapsed:   17.8s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[ 911,  575],\n",
       "       [ 398, 1252]], dtype=int64)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#make the confusion matrix\n",
    "confusion = gs_mnm_tf.fit(X_train, y_train)\n",
    "#sets predictions variable\n",
    "predictions = confusion.predict(X_test)\n",
    "#creates matrix values\n",
    "tn, fp, fn, tp = confusion_matrix(y_test, predictions).ravel()\n",
    "#creates the matrix\n",
    "confusion_matrix(y_test, predictions)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6897321428571429\n"
     ]
    }
   ],
   "source": [
    "mnm_accuracy = (tn + tp)/(tn + tp + fp + fn)\n",
    "print(mnm_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logisitc Regression with TFIDF Vectorization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#LL FROM LESSON 5.04\n",
    "#Instantiate tfidf vectorizer and log reg\n",
    "tv = TfidfVectorizer(stop_words='english')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "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>00</th>\n",
       "      <th>000</th>\n",
       "      <th>000th</th>\n",
       "      <th>00pm</th>\n",
       "      <th>01</th>\n",
       "      <th>02</th>\n",
       "      <th>03</th>\n",
       "      <th>04</th>\n",
       "      <th>05</th>\n",
       "      <th>06</th>\n",
       "      <th>07</th>\n",
       "      <th>08</th>\n",
       "      <th>09</th>\n",
       "      <th>0spg</th>\n",
       "      <th>10</th>\n",
       "      <th>100</th>\n",
       "      <th>1000</th>\n",
       "      <th>100m</th>\n",
       "      <th>100x</th>\n",
       "      <th>101</th>\n",
       "      <th>102</th>\n",
       "      <th>103</th>\n",
       "      <th>104</th>\n",
       "      <th>105</th>\n",
       "      <th>1053thefan</th>\n",
       "      <th>106</th>\n",
       "      <th>1064</th>\n",
       "      <th>108</th>\n",
       "      <th>109</th>\n",
       "      <th>10k</th>\n",
       "      <th>10th</th>\n",
       "      <th>11</th>\n",
       "      <th>110</th>\n",
       "      <th>111</th>\n",
       "      <th>112</th>\n",
       "      <th>113</th>\n",
       "      <th>114</th>\n",
       "      <th>115</th>\n",
       "      <th>116</th>\n",
       "      <th>118</th>\n",
       "      <th>11th</th>\n",
       "      <th>12</th>\n",
       "      <th>120</th>\n",
       "      <th>1224933809981800448</th>\n",
       "      <th>123</th>\n",
       "      <th>1235316857923661825</th>\n",
       "      <th>125</th>\n",
       "      <th>126</th>\n",
       "      <th>12th</th>\n",
       "      <th>13</th>\n",
       "      <th>130</th>\n",
       "      <th>137</th>\n",
       "      <th>13reb</th>\n",
       "      <th>13rebs</th>\n",
       "      <th>14</th>\n",
       "      <th>140</th>\n",
       "      <th>141m</th>\n",
       "      <th>142</th>\n",
       "      <th>14s</th>\n",
       "      <th>14th</th>\n",
       "      <th>15</th>\n",
       "      <th>150</th>\n",
       "      <th>152nd</th>\n",
       "      <th>15th</th>\n",
       "      <th>16</th>\n",
       "      <th>1600</th>\n",
       "      <th>17</th>\n",
       "      <th>170</th>\n",
       "      <th>170m</th>\n",
       "      <th>18</th>\n",
       "      <th>181</th>\n",
       "      <th>18pts</th>\n",
       "      <th>19</th>\n",
       "      <th>191m</th>\n",
       "      <th>1946</th>\n",
       "      <th>1948</th>\n",
       "      <th>1949</th>\n",
       "      <th>1950</th>\n",
       "      <th>1952</th>\n",
       "      <th>1955</th>\n",
       "      <th>1960</th>\n",
       "      <th>1960s</th>\n",
       "      <th>1965</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>1970s</th>\n",
       "      <th>1973</th>\n",
       "      <th>1974</th>\n",
       "      <th>1976</th>\n",
       "      <th>1978</th>\n",
       "      <th>1979</th>\n",
       "      <th>1980</th>\n",
       "      <th>1980s</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>1987</th>\n",
       "      <th>1988</th>\n",
       "      <th>1989</th>\n",
       "      <th>1990</th>\n",
       "      <th>1990s</th>\n",
       "      <th>1991</th>\n",
       "      <th>1992</th>\n",
       "      <th>1993</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>19rebs</th>\n",
       "      <th>1a</th>\n",
       "      <th>1nei5nsf8i</th>\n",
       "      <th>1on1</th>\n",
       "      <th>1st</th>\n",
       "      <th>1tb</th>\n",
       "      <th>1v1</th>\n",
       "      <th>20</th>\n",
       "      <th>200</th>\n",
       "      <th>2000</th>\n",
       "      <th>2000s</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2007y</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>200lbs</th>\n",
       "      <th>2010</th>\n",
       "      <th>2010s</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2020s</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "      <th>2023</th>\n",
       "      <th>2024</th>\n",
       "      <th>2025</th>\n",
       "      <th>2026</th>\n",
       "      <th>20s</th>\n",
       "      <th>20th</th>\n",
       "      <th>21</th>\n",
       "      <th>21ish</th>\n",
       "      <th>21st</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>23rd</th>\n",
       "      <th>24</th>\n",
       "      <th>245</th>\n",
       "      <th>249</th>\n",
       "      <th>24m</th>\n",
       "      <th>24pts</th>\n",
       "      <th>24th</th>\n",
       "      <th>25</th>\n",
       "      <th>250</th>\n",
       "      <th>25ish</th>\n",
       "      <th>25m</th>\n",
       "      <th>25th</th>\n",
       "      <th>26</th>\n",
       "      <th>2625</th>\n",
       "      <th>26pts</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>280</th>\n",
       "      <th>29</th>\n",
       "      <th>29m</th>\n",
       "      <th>2k</th>\n",
       "      <th>2k11</th>\n",
       "      <th>2k19</th>\n",
       "      <th>2k20</th>\n",
       "      <th>2m</th>\n",
       "      <th>2nd</th>\n",
       "      <th>2pm</th>\n",
       "      <th>2pt</th>\n",
       "      <th>2pts</th>\n",
       "      <th>30</th>\n",
       "      <th>300</th>\n",
       "      <th>300k</th>\n",
       "      <th>3041</th>\n",
       "      <th>30m</th>\n",
       "      <th>30pm</th>\n",
       "      <th>30th</th>\n",
       "      <th>31</th>\n",
       "      <th>310</th>\n",
       "      <th>31pts</th>\n",
       "      <th>32</th>\n",
       "      <th>33</th>\n",
       "      <th>33m</th>\n",
       "      <th>34</th>\n",
       "      <th>343</th>\n",
       "      <th>35</th>\n",
       "      <th>350</th>\n",
       "      <th>36</th>\n",
       "      <th>37</th>\n",
       "      <th>38</th>\n",
       "      <th>39</th>\n",
       "      <th>3b</th>\n",
       "      <th>3fgm</th>\n",
       "      <th>3p</th>\n",
       "      <th>3pa</th>\n",
       "      <th>3pm</th>\n",
       "      <th>3ppg</th>\n",
       "      <th>3pt</th>\n",
       "      <th>3pts</th>\n",
       "      <th>3q</th>\n",
       "      <th>3rd</th>\n",
       "      <th>3rdq</th>\n",
       "      <th>3s</th>\n",
       "      <th>3x</th>\n",
       "      <th>40</th>\n",
       "      <th>400</th>\n",
       "      <th>40k</th>\n",
       "      <th>41</th>\n",
       "      <th>41901</th>\n",
       "      <th>42</th>\n",
       "      <th>420</th>\n",
       "      <th>42nd</th>\n",
       "      <th>43</th>\n",
       "      <th>44</th>\n",
       "      <th>44th</th>\n",
       "      <th>45</th>\n",
       "      <th>47</th>\n",
       "      <th>48</th>\n",
       "      <th>49</th>\n",
       "      <th>4billion</th>\n",
       "      <th>4k</th>\n",
       "      <th>4pm</th>\n",
       "      <th>4th</th>\n",
       "      <th>4x</th>\n",
       "      <th>50</th>\n",
       "      <th>500</th>\n",
       "      <th>500s</th>\n",
       "      <th>50m</th>\n",
       "      <th>50ppg</th>\n",
       "      <th>50s</th>\n",
       "      <th>51</th>\n",
       "      <th>52</th>\n",
       "      <th>53</th>\n",
       "      <th>538</th>\n",
       "      <th>54</th>\n",
       "      <th>55</th>\n",
       "      <th>56</th>\n",
       "      <th>560k</th>\n",
       "      <th>57</th>\n",
       "      <th>57m</th>\n",
       "      <th>58</th>\n",
       "      <th>5apg</th>\n",
       "      <th>5asts</th>\n",
       "      <th>5bpg</th>\n",
       "      <th>5etfw</th>\n",
       "      <th>5m</th>\n",
       "      <th>5pm</th>\n",
       "      <th>5ppg</th>\n",
       "      <th>5th</th>\n",
       "      <th>5v5</th>\n",
       "      <th>60</th>\n",
       "      <th>60s</th>\n",
       "      <th>61</th>\n",
       "      <th>62</th>\n",
       "      <th>630</th>\n",
       "      <th>632</th>\n",
       "      <th>633</th>\n",
       "      <th>65</th>\n",
       "      <th>66</th>\n",
       "      <th>67</th>\n",
       "      <th>67201bb8655db6c0</th>\n",
       "      <th>68</th>\n",
       "      <th>68m</th>\n",
       "      <th>69</th>\n",
       "      <th>6ixth</th>\n",
       "      <th>6m</th>\n",
       "      <th>6th</th>\n",
       "      <th>70</th>\n",
       "      <th>70m</th>\n",
       "      <th>70s</th>\n",
       "      <th>71</th>\n",
       "      <th>72</th>\n",
       "      <th>73</th>\n",
       "      <th>73m</th>\n",
       "      <th>74</th>\n",
       "      <th>748</th>\n",
       "      <th>75</th>\n",
       "      <th>76</th>\n",
       "      <th>76ers</th>\n",
       "      <th>77</th>\n",
       "      <th>78</th>\n",
       "      <th>79</th>\n",
       "      <th>7bd4uxa</th>\n",
       "      <th>7rpg</th>\n",
       "      <th>7th</th>\n",
       "      <th>7x</th>\n",
       "      <th>80</th>\n",
       "      <th>800</th>\n",
       "      <th>80s</th>\n",
       "      <th>81</th>\n",
       "      <th>82</th>\n",
       "      <th>83</th>\n",
       "      <th>84</th>\n",
       "      <th>85</th>\n",
       "      <th>86</th>\n",
       "      <th>86th</th>\n",
       "      <th>88</th>\n",
       "      <th>89</th>\n",
       "      <th>89m</th>\n",
       "      <th>8th</th>\n",
       "      <th>90</th>\n",
       "      <th>900</th>\n",
       "      <th>90s</th>\n",
       "      <th>91</th>\n",
       "      <th>92</th>\n",
       "      <th>93</th>\n",
       "      <th>94</th>\n",
       "      <th>95</th>\n",
       "      <th>96</th>\n",
       "      <th>97</th>\n",
       "      <th>98</th>\n",
       "      <th>982</th>\n",
       "      <th>983</th>\n",
       "      <th>99</th>\n",
       "      <th>99nzd</th>\n",
       "      <th>9m</th>\n",
       "      <th>9pm</th>\n",
       "      <th>_jordan</th>\n",
       "      <th>_rowdy</th>\n",
       "      <th>aaron</th>\n",
       "      <th>aba</th>\n",
       "      <th>abandoned</th>\n",
       "      <th>abc</th>\n",
       "      <th>abdul</th>\n",
       "      <th>abdur</th>\n",
       "      <th>abe</th>\n",
       "      <th>abilities</th>\n",
       "      <th>ability</th>\n",
       "      <th>able</th>\n",
       "      <th>abolish</th>\n",
       "      <th>abridged</th>\n",
       "      <th>abroad</th>\n",
       "      <th>absence</th>\n",
       "      <th>absent</th>\n",
       "      <th>absolute</th>\n",
       "      <th>absolutely</th>\n",
       "      <th>absurd</th>\n",
       "      <th>abuse</th>\n",
       "      <th>abusing</th>\n",
       "      <th>abysmal</th>\n",
       "      <th>ac</th>\n",
       "      <th>academic</th>\n",
       "      <th>academy</th>\n",
       "      <th>accent</th>\n",
       "      <th>accept</th>\n",
       "      <th>accepted</th>\n",
       "      <th>access</th>\n",
       "      <th>accessories</th>\n",
       "      <th>accident</th>\n",
       "      <th>acclimation</th>\n",
       "      <th>accomplish</th>\n",
       "      <th>accomplishments</th>\n",
       "      <th>according</th>\n",
       "      <th>accordingly</th>\n",
       "      <th>account</th>\n",
       "      <th>accumulator</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>accurate</th>\n",
       "      <th>accurately</th>\n",
       "      <th>accuse</th>\n",
       "      <th>accused</th>\n",
       "      <th>accuser</th>\n",
       "      <th>achieve</th>\n",
       "      <th>achieved</th>\n",
       "      <th>achievements</th>\n",
       "      <th>achilles</th>\n",
       "      <th>acknowledging</th>\n",
       "      <th>ackshually</th>\n",
       "      <th>acl</th>\n",
       "      <th>acquire</th>\n",
       "      <th>acquired</th>\n",
       "      <th>acquires</th>\n",
       "      <th>acquisitions</th>\n",
       "      <th>acquring</th>\n",
       "      <th>act</th>\n",
       "      <th>acting</th>\n",
       "      <th>action</th>\n",
       "      <th>activates</th>\n",
       "      <th>active</th>\n",
       "      <th>activism</th>\n",
       "      <th>activity</th>\n",
       "      <th>actors</th>\n",
       "      <th>actual</th>\n",
       "      <th>actually</th>\n",
       "      <th>acwishtv</th>\n",
       "      <th>ad</th>\n",
       "      <th>adam</th>\n",
       "      <th>adams</th>\n",
       "      <th>adande</th>\n",
       "      <th>adaptation</th>\n",
       "      <th>add</th>\n",
       "      <th>added</th>\n",
       "      <th>adding</th>\n",
       "      <th>addison</th>\n",
       "      <th>addition</th>\n",
       "      <th>address</th>\n",
       "      <th>addresses</th>\n",
       "      <th>addressing</th>\n",
       "      <th>adebayo</th>\n",
       "      <th>adhd</th>\n",
       "      <th>adjective</th>\n",
       "      <th>adjust</th>\n",
       "      <th>adjusted</th>\n",
       "      <th>adjustments</th>\n",
       "      <th>adjusts</th>\n",
       "      <th>administration</th>\n",
       "      <th>admirably</th>\n",
       "      <th>admiral</th>\n",
       "      <th>admit</th>\n",
       "      <th>admits</th>\n",
       "      <th>admitted</th>\n",
       "      <th>adopt</th>\n",
       "      <th>adopted</th>\n",
       "      <th>adrian</th>\n",
       "      <th>advance</th>\n",
       "      <th>advanced</th>\n",
       "      <th>advantage</th>\n",
       "      <th>advantages</th>\n",
       "      <th>adventure</th>\n",
       "      <th>advertisement</th>\n",
       "      <th>advice</th>\n",
       "      <th>advija</th>\n",
       "      <th>advising</th>\n",
       "      <th>advocated</th>\n",
       "      <th>aerosmith</th>\n",
       "      <th>affect</th>\n",
       "      <th>affected</th>\n",
       "      <th>affecting</th>\n",
       "      <th>affiliated</th>\n",
       "      <th>afford</th>\n",
       "      <th>afforded</th>\n",
       "      <th>afraid</th>\n",
       "      <th>africa</th>\n",
       "      <th>african</th>\n",
       "      <th>aftershow</th>\n",
       "      <th>agaisnt</th>\n",
       "      <th>age</th>\n",
       "      <th>agency</th>\n",
       "      <th>agent</th>\n",
       "      <th>agents</th>\n",
       "      <th>aggressive</th>\n",
       "      <th>ago</th>\n",
       "      <th>agree</th>\n",
       "      <th>agreed</th>\n",
       "      <th>agreement</th>\n",
       "      <th>agrees</th>\n",
       "      <th>ahead</th>\n",
       "      <th>ahhhhhhhhh</th>\n",
       "      <th>ahmad</th>\n",
       "      <th>ai</th>\n",
       "      <th>aight</th>\n",
       "      <th>aiming</th>\n",
       "      <th>aims</th>\n",
       "      <th>ain</th>\n",
       "      <th>ainge</th>\n",
       "      <th>aint</th>\n",
       "      <th>air</th>\n",
       "      <th>aired</th>\n",
       "      <th>airs</th>\n",
       "      <th>aita</th>\n",
       "      <th>ak</th>\n",
       "      <th>aka</th>\n",
       "      <th>al</th>\n",
       "      <th>alan</th>\n",
       "      <th>alarmed</th>\n",
       "      <th>alaska</th>\n",
       "      <th>albert</th>\n",
       "      <th>album</th>\n",
       "      <th>alcindor</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>aldridge</th>\n",
       "      <th>alec</th>\n",
       "      <th>alex</th>\n",
       "      <th>alexander</th>\n",
       "      <th>alexey</th>\n",
       "      <th>ali</th>\n",
       "      <th>alive</th>\n",
       "      <th>allegation</th>\n",
       "      <th>allegations</th>\n",
       "      <th>...</th>\n",
       "      <th>wallpaperwednesday</th>\n",
       "      <th>walmart</th>\n",
       "      <th>walt</th>\n",
       "      <th>walton</th>\n",
       "      <th>wang</th>\n",
       "      <th>wanna</th>\n",
       "      <th>want</th>\n",
       "      <th>wanted</th>\n",
       "      <th>wanting</th>\n",
       "      <th>wants</th>\n",
       "      <th>wapo</th>\n",
       "      <th>war</th>\n",
       "      <th>warm</th>\n",
       "      <th>warnings</th>\n",
       "      <th>warrant</th>\n",
       "      <th>warrior</th>\n",
       "      <th>warriors</th>\n",
       "      <th>wash</th>\n",
       "      <th>washed</th>\n",
       "      <th>washington</th>\n",
       "      <th>wasn</th>\n",
       "      <th>waste</th>\n",
       "      <th>wasted</th>\n",
       "      <th>watch</th>\n",
       "      <th>watched</th>\n",
       "      <th>watching</th>\n",
       "      <th>watchlist</th>\n",
       "      <th>water</th>\n",
       "      <th>watercolour</th>\n",
       "      <th>watson</th>\n",
       "      <th>waves</th>\n",
       "      <th>way</th>\n",
       "      <th>wayne</th>\n",
       "      <th>ways</th>\n",
       "      <th>wcf</th>\n",
       "      <th>wcr1</th>\n",
       "      <th>wcsf</th>\n",
       "      <th>wcw</th>\n",
       "      <th>weak</th>\n",
       "      <th>weaker</th>\n",
       "      <th>weakness</th>\n",
       "      <th>weaknesses</th>\n",
       "      <th>weapon</th>\n",
       "      <th>wear</th>\n",
       "      <th>webpage</th>\n",
       "      <th>website</th>\n",
       "      <th>websites</th>\n",
       "      <th>webster</th>\n",
       "      <th>wednesday</th>\n",
       "      <th>week</th>\n",
       "      <th>weekend</th>\n",
       "      <th>weekly</th>\n",
       "      <th>weeks</th>\n",
       "      <th>weighed</th>\n",
       "      <th>weight</th>\n",
       "      <th>weighted</th>\n",
       "      <th>weights</th>\n",
       "      <th>weird</th>\n",
       "      <th>weirder</th>\n",
       "      <th>welcome</th>\n",
       "      <th>wennington</th>\n",
       "      <th>went</th>\n",
       "      <th>weren</th>\n",
       "      <th>wermund</th>\n",
       "      <th>west</th>\n",
       "      <th>westbrook</th>\n",
       "      <th>westerholm</th>\n",
       "      <th>western</th>\n",
       "      <th>wet</th>\n",
       "      <th>wether</th>\n",
       "      <th>wfan</th>\n",
       "      <th>whack</th>\n",
       "      <th>whatifsports</th>\n",
       "      <th>whats</th>\n",
       "      <th>whatsoever</th>\n",
       "      <th>whistle</th>\n",
       "      <th>white</th>\n",
       "      <th>whites</th>\n",
       "      <th>whiteside</th>\n",
       "      <th>whoa</th>\n",
       "      <th>wholesome</th>\n",
       "      <th>whooped</th>\n",
       "      <th>whooping</th>\n",
       "      <th>whos</th>\n",
       "      <th>wide</th>\n",
       "      <th>widely</th>\n",
       "      <th>widest</th>\n",
       "      <th>wife</th>\n",
       "      <th>wiggins</th>\n",
       "      <th>wiki</th>\n",
       "      <th>wikipedia</th>\n",
       "      <th>wilbon</th>\n",
       "      <th>wild</th>\n",
       "      <th>wildcard</th>\n",
       "      <th>wilkins</th>\n",
       "      <th>willamson</th>\n",
       "      <th>willard</th>\n",
       "      <th>willed</th>\n",
       "      <th>william</th>\n",
       "      <th>williams</th>\n",
       "      <th>williamson</th>\n",
       "      <th>williamsons</th>\n",
       "      <th>willing</th>\n",
       "      <th>willingness</th>\n",
       "      <th>willis</th>\n",
       "      <th>wilson</th>\n",
       "      <th>wilt</th>\n",
       "      <th>win</th>\n",
       "      <th>windhorst</th>\n",
       "      <th>winding</th>\n",
       "      <th>windmill</th>\n",
       "      <th>window</th>\n",
       "      <th>windows</th>\n",
       "      <th>winds</th>\n",
       "      <th>wine</th>\n",
       "      <th>wing</th>\n",
       "      <th>wingo</th>\n",
       "      <th>wings</th>\n",
       "      <th>winner</th>\n",
       "      <th>winners</th>\n",
       "      <th>winnie</th>\n",
       "      <th>winning</th>\n",
       "      <th>wins</th>\n",
       "      <th>wipe</th>\n",
       "      <th>wisdom</th>\n",
       "      <th>wise</th>\n",
       "      <th>wiseman</th>\n",
       "      <th>wish</th>\n",
       "      <th>wish_tv</th>\n",
       "      <th>wished</th>\n",
       "      <th>wishes</th>\n",
       "      <th>withdrawal</th>\n",
       "      <th>withdrawals</th>\n",
       "      <th>withdrew</th>\n",
       "      <th>withering</th>\n",
       "      <th>withhold</th>\n",
       "      <th>witness</th>\n",
       "      <th>witnessed</th>\n",
       "      <th>wiz</th>\n",
       "      <th>wizard</th>\n",
       "      <th>wizardry</th>\n",
       "      <th>wizards</th>\n",
       "      <th>wnba</th>\n",
       "      <th>woeful</th>\n",
       "      <th>woefully</th>\n",
       "      <th>woes</th>\n",
       "      <th>woj</th>\n",
       "      <th>wojespn</th>\n",
       "      <th>wojnarowski</th>\n",
       "      <th>woke</th>\n",
       "      <th>wolves</th>\n",
       "      <th>woman</th>\n",
       "      <th>women</th>\n",
       "      <th>won</th>\n",
       "      <th>wonder</th>\n",
       "      <th>wondered</th>\n",
       "      <th>wonderful</th>\n",
       "      <th>wondering</th>\n",
       "      <th>wood</th>\n",
       "      <th>woods</th>\n",
       "      <th>worded</th>\n",
       "      <th>words</th>\n",
       "      <th>work</th>\n",
       "      <th>worked</th>\n",
       "      <th>worker</th>\n",
       "      <th>working</th>\n",
       "      <th>workout</th>\n",
       "      <th>workouts</th>\n",
       "      <th>works</th>\n",
       "      <th>world</th>\n",
       "      <th>worm</th>\n",
       "      <th>worn</th>\n",
       "      <th>worried</th>\n",
       "      <th>worry</th>\n",
       "      <th>worrying</th>\n",
       "      <th>worse</th>\n",
       "      <th>worst</th>\n",
       "      <th>worth</th>\n",
       "      <th>worthy</th>\n",
       "      <th>wouldn</th>\n",
       "      <th>wounded</th>\n",
       "      <th>wow</th>\n",
       "      <th>wr</th>\n",
       "      <th>wrapping</th>\n",
       "      <th>wrecking</th>\n",
       "      <th>wrestle</th>\n",
       "      <th>wrestling</th>\n",
       "      <th>wright</th>\n",
       "      <th>wrights</th>\n",
       "      <th>wrist</th>\n",
       "      <th>write</th>\n",
       "      <th>writer</th>\n",
       "      <th>writers</th>\n",
       "      <th>writing</th>\n",
       "      <th>wrong</th>\n",
       "      <th>wrote</th>\n",
       "      <th>ws</th>\n",
       "      <th>wscf</th>\n",
       "      <th>wsj</th>\n",
       "      <th>wtf</th>\n",
       "      <th>wuhan</th>\n",
       "      <th>wwe</th>\n",
       "      <th>wwf</th>\n",
       "      <th>www</th>\n",
       "      <th>wyretap</th>\n",
       "      <th>xfinity</th>\n",
       "      <th>xfl</th>\n",
       "      <th>xposted</th>\n",
       "      <th>xs</th>\n",
       "      <th>ya</th>\n",
       "      <th>yabusele</th>\n",
       "      <th>yahoo</th>\n",
       "      <th>yamcha</th>\n",
       "      <th>yao</th>\n",
       "      <th>yeah</th>\n",
       "      <th>year</th>\n",
       "      <th>years</th>\n",
       "      <th>yehoshaphat</th>\n",
       "      <th>yellow</th>\n",
       "      <th>yells</th>\n",
       "      <th>yep</th>\n",
       "      <th>yes</th>\n",
       "      <th>yesterday</th>\n",
       "      <th>yikes</th>\n",
       "      <th>yips</th>\n",
       "      <th>yitzhak</th>\n",
       "      <th>yoga</th>\n",
       "      <th>york</th>\n",
       "      <th>young</th>\n",
       "      <th>younger</th>\n",
       "      <th>youngest</th>\n",
       "      <th>youtu</th>\n",
       "      <th>youtube</th>\n",
       "      <th>youtubers</th>\n",
       "      <th>ystrd</th>\n",
       "      <th>yugoslav</th>\n",
       "      <th>yugoslavia</th>\n",
       "      <th>yugoslavian</th>\n",
       "      <th>zach</th>\n",
       "      <th>zachlowe_nba</th>\n",
       "      <th>zack</th>\n",
       "      <th>zanin</th>\n",
       "      <th>zaza</th>\n",
       "      <th>zealand</th>\n",
       "      <th>zeke</th>\n",
       "      <th>zeller</th>\n",
       "      <th>zen</th>\n",
       "      <th>zero</th>\n",
       "      <th>zeroing</th>\n",
       "      <th>zion</th>\n",
       "      <th>zone</th>\n",
       "      <th>zones</th>\n",
       "      <th>zoom</th>\n",
       "      <th>กกล</th>\n",
       "      <th>กข</th>\n",
       "      <th>กคนต</th>\n",
       "      <th>กจ</th>\n",
       "      <th>กจากไปด</th>\n",
       "      <th>กชายต</th>\n",
       "      <th>กชายสต</th>\n",
       "      <th>กทำเส</th>\n",
       "      <th>กมากจนต</th>\n",
       "      <th>กร</th>\n",
       "      <th>กล</th>\n",
       "      <th>กลายเป</th>\n",
       "      <th>กษาโคว</th>\n",
       "      <th>กส</th>\n",
       "      <th>กฯ</th>\n",
       "      <th>กา</th>\n",
       "      <th>การบ</th>\n",
       "      <th>การเภส</th>\n",
       "      <th>กาใช</th>\n",
       "      <th>กเง</th>\n",
       "      <th>กเป</th>\n",
       "      <th>กเร</th>\n",
       "      <th>ขวบกอดศพแม</th>\n",
       "      <th>ขอกต</th>\n",
       "      <th>ของ</th>\n",
       "      <th>ขานร</th>\n",
       "      <th>ขโมยรถเก</th>\n",
       "      <th>คซ</th>\n",
       "      <th>คนร</th>\n",
       "      <th>คร</th>\n",
       "      <th>ครม</th>\n",
       "      <th>คล</th>\n",
       "      <th>คว</th>\n",
       "      <th>งก</th>\n",
       "      <th>งกว</th>\n",
       "      <th>งค</th>\n",
       "      <th>งคลอด</th>\n",
       "      <th>งชนต</th>\n",
       "      <th>งด</th>\n",
       "      <th>งพ</th>\n",
       "      <th>งย</th>\n",
       "      <th>งว</th>\n",
       "      <th>งส</th>\n",
       "      <th>งเด</th>\n",
       "      <th>งเทพ</th>\n",
       "      <th>งเม</th>\n",
       "      <th>งแต</th>\n",
       "      <th>งแม</th>\n",
       "      <th>งแหกโค</th>\n",
       "      <th>งๆ</th>\n",
       "      <th>ฉาวโฉ</th>\n",
       "      <th>ชนเสาไฟฟ</th>\n",
       "      <th>ชมพ</th>\n",
       "      <th>ชอบส</th>\n",
       "      <th>ชาวบ</th>\n",
       "      <th>ญญ</th>\n",
       "      <th>ญป</th>\n",
       "      <th>ฐบาลม</th>\n",
       "      <th>ฐพร</th>\n",
       "      <th>ดจะไปต</th>\n",
       "      <th>ดตรงเป</th>\n",
       "      <th>ดตลาดบวกพ</th>\n",
       "      <th>ดนตร</th>\n",
       "      <th>ดภาพ</th>\n",
       "      <th>ดว</th>\n",
       "      <th>ดาวโจนส</th>\n",
       "      <th>ดเจน</th>\n",
       "      <th>ดเจนส</th>\n",
       "      <th>ดเห</th>\n",
       "      <th>ดแฮปป</th>\n",
       "      <th>ดๆ</th>\n",
       "      <th>ตยา</th>\n",
       "      <th>ตรวจสอบ</th>\n",
       "      <th>ตอบให</th>\n",
       "      <th>ทธ</th>\n",
       "      <th>ทราย</th>\n",
       "      <th>ทองประสม</th>\n",
       "      <th>ทำเจ</th>\n",
       "      <th>ทำไมไม</th>\n",
       "      <th>นของต</th>\n",
       "      <th>นช</th>\n",
       "      <th>นต</th>\n",
       "      <th>นตลา</th>\n",
       "      <th>นท</th>\n",
       "      <th>นน</th>\n",
       "      <th>นปล</th>\n",
       "      <th>นภาพม</th>\n",
       "      <th>นย</th>\n",
       "      <th>นรอม</th>\n",
       "      <th>นระบำ</th>\n",
       "      <th>นล</th>\n",
       "      <th>นส</th>\n",
       "      <th>นหน</th>\n",
       "      <th>นหล</th>\n",
       "      <th>นหอม</th>\n",
       "      <th>นอก</th>\n",
       "      <th>นเง</th>\n",
       "      <th>นเจ</th>\n",
       "      <th>นเหต</th>\n",
       "      <th>นเอว</th>\n",
       "      <th>นให</th>\n",
       "      <th>นใหญ</th>\n",
       "      <th>นไทย</th>\n",
       "      <th>นไม</th>\n",
       "      <th>บก</th>\n",
       "      <th>บข</th>\n",
       "      <th>บคาซาก</th>\n",
       "      <th>บจนท</th>\n",
       "      <th>บน</th>\n",
       "      <th>บมาเป</th>\n",
       "      <th>บว</th>\n",
       "      <th>บสาห</th>\n",
       "      <th>บหน</th>\n",
       "      <th>บออกจากบ</th>\n",
       "      <th>บาดเจ</th>\n",
       "      <th>ปแจกอาหารชาวบ</th>\n",
       "      <th>ฟาว</th>\n",
       "      <th>ภาพ</th>\n",
       "      <th>ภาพไม</th>\n",
       "      <th>มข</th>\n",
       "      <th>มครอบคล</th>\n",
       "      <th>มตาม</th>\n",
       "      <th>มวยพม</th>\n",
       "      <th>มาตรการเย</th>\n",
       "      <th>มาร</th>\n",
       "      <th>ยงคราง</th>\n",
       "      <th>ยงหลาน</th>\n",
       "      <th>ยงแสน</th>\n",
       "      <th>ยงใจย</th>\n",
       "      <th>ยน</th>\n",
       "      <th>ยนหญ</th>\n",
       "      <th>ยร</th>\n",
       "      <th>ยวพม</th>\n",
       "      <th>ยวยาท</th>\n",
       "      <th>ยวเต</th>\n",
       "      <th>ยใช</th>\n",
       "      <th>รอ</th>\n",
       "      <th>ระ</th>\n",
       "      <th>ราย</th>\n",
       "      <th>ราเว</th>\n",
       "      <th>วข</th>\n",
       "      <th>วขาว</th>\n",
       "      <th>วงจรป</th>\n",
       "      <th>วน</th>\n",
       "      <th>วนต</th>\n",
       "      <th>วยและม</th>\n",
       "      <th>วยโรคระบาดในม</th>\n",
       "      <th>วร</th>\n",
       "      <th>วห</th>\n",
       "      <th>วเอง</th>\n",
       "      <th>วโขกได</th>\n",
       "      <th>วไถ</th>\n",
       "      <th>ศก</th>\n",
       "      <th>สบายใจ</th>\n",
       "      <th>สมประกอบ</th>\n",
       "      <th>สหกรณ</th>\n",
       "      <th>สาขาเช</th>\n",
       "      <th>หมาก</th>\n",
       "      <th>หลานสาวบ</th>\n",
       "      <th>อก</th>\n",
       "      <th>อกเก</th>\n",
       "      <th>อกเป</th>\n",
       "      <th>อง</th>\n",
       "      <th>องค</th>\n",
       "      <th>องท</th>\n",
       "      <th>องภาพหวาน</th>\n",
       "      <th>องม</th>\n",
       "      <th>องย</th>\n",
       "      <th>องเช</th>\n",
       "      <th>อทำก</th>\n",
       "      <th>อน</th>\n",
       "      <th>อนตายตาม</th>\n",
       "      <th>อบห</th>\n",
       "      <th>อมด</th>\n",
       "      <th>อมเล</th>\n",
       "      <th>อยออกมานอนน</th>\n",
       "      <th>อยโพสต</th>\n",
       "      <th>อห</th>\n",
       "      <th>อหร</th>\n",
       "      <th>อะเมซ</th>\n",
       "      <th>อาร</th>\n",
       "      <th>อเปล</th>\n",
       "      <th>อเลขเด</th>\n",
       "      <th>ะไวมาก</th>\n",
       "      <th>าคลอดแล</th>\n",
       "      <th>าชก</th>\n",
       "      <th>าต</th>\n",
       "      <th>าท</th>\n",
       "      <th>าน</th>\n",
       "      <th>านคน</th>\n",
       "      <th>านเลย</th>\n",
       "      <th>านโคว</th>\n",
       "      <th>านใหม</th>\n",
       "      <th>าป</th>\n",
       "      <th>าผล</th>\n",
       "      <th>ายควงป</th>\n",
       "      <th>าร</th>\n",
       "      <th>าล</th>\n",
       "      <th>าวจ</th>\n",
       "      <th>าวทดลองว</th>\n",
       "      <th>าวร</th>\n",
       "      <th>าหน</th>\n",
       "      <th>าแรงส</th>\n",
       "      <th>าใน</th>\n",
       "      <th>ำตาไหลเห</th>\n",
       "      <th>ำผ</th>\n",
       "      <th>ำฝน</th>\n",
       "      <th>เข</th>\n",
       "      <th>เคร</th>\n",
       "      <th>เคาะแนวทางช</th>\n",
       "      <th>เจร</th>\n",
       "      <th>เช</th>\n",
       "      <th>เด</th>\n",
       "      <th>เท</th>\n",
       "      <th>เทาๆ</th>\n",
       "      <th>เนย</th>\n",
       "      <th>เบบ</th>\n",
       "      <th>เป</th>\n",
       "      <th>เผยห</th>\n",
       "      <th>เฟซบ</th>\n",
       "      <th>เร</th>\n",
       "      <th>เล</th>\n",
       "      <th>เลด</th>\n",
       "      <th>เสพยาแล</th>\n",
       "      <th>เองในประเทศ</th>\n",
       "      <th>เอวเป</th>\n",
       "      <th>แชมป</th>\n",
       "      <th>แซ</th>\n",
       "      <th>แต</th>\n",
       "      <th>แปลกใจ</th>\n",
       "      <th>แล</th>\n",
       "      <th>แอน</th>\n",
       "      <th>โชค</th>\n",
       "      <th>โชต</th>\n",
       "      <th>ใช</th>\n",
       "      <th>ในท</th>\n",
       "      <th>ใบหน</th>\n",
       "      <th>ให</th>\n",
       "      <th>ไฟคลอกด</th>\n",
       "      <th>ไม</th>\n",
       "      <th>ไว</th>\n",
       "      <th>공식</th>\n",
       "      <th>메이저놀이터</th>\n",
       "      <th>스포츠토토</th>\n",
       "      <th>안전놀이터</th>\n",
       "      <th>추천</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\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>0.000000</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.353411</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>0.0</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>0.0</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>...</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "      <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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>0.323394</td>\n",
       "      <td>0.327964</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "      <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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>0.000000</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "      <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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>0.000000</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.303839</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",
       "      <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>0.0</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>0.0</td>\n",
       "      <td>...</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "      <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>0.0</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>0.197584</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>0.000000</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.354199</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>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>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.316619</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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>0.0</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 7587 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    00  000  000th  00pm   01   02   03   04   05   06   07        08  \\\n",
       "0  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000   \n",
       "1  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.323394   \n",
       "2  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000   \n",
       "3  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000   \n",
       "4  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.000000   \n",
       "\n",
       "         09  0spg   10  100  1000  100m  100x  101  102  103  104  105  \\\n",
       "0  0.000000   0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1  0.327964   0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2  0.000000   0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3  0.000000   0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4  0.000000   0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   1053thefan  106  1064  108  109  10k  10th   11  110  111  112  113  114  \\\n",
       "0         0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1         0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2         0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3         0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4         0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   115  116  118  11th   12  120  1224933809981800448  123  \\\n",
       "0  0.0  0.0  0.0   0.0  0.0  0.0                  0.0  0.0   \n",
       "1  0.0  0.0  0.0   0.0  0.0  0.0                  0.0  0.0   \n",
       "2  0.0  0.0  0.0   0.0  0.0  0.0                  0.0  0.0   \n",
       "3  0.0  0.0  0.0   0.0  0.0  0.0                  0.0  0.0   \n",
       "4  0.0  0.0  0.0   0.0  0.0  0.0                  0.0  0.0   \n",
       "\n",
       "   1235316857923661825  125  126  12th   13  130  137  13reb  13rebs   14  \\\n",
       "0                  0.0  0.0  0.0   0.0  0.0  0.0  0.0    0.0     0.0  0.0   \n",
       "1                  0.0  0.0  0.0   0.0  0.0  0.0  0.0    0.0     0.0  0.0   \n",
       "2                  0.0  0.0  0.0   0.0  0.0  0.0  0.0    0.0     0.0  0.0   \n",
       "3                  0.0  0.0  0.0   0.0  0.0  0.0  0.0    0.0     0.0  0.0   \n",
       "4                  0.0  0.0  0.0   0.0  0.0  0.0  0.0    0.0     0.0  0.0   \n",
       "\n",
       "   140  141m  142  14s  14th   15  150  152nd  15th   16  1600   17  170  \\\n",
       "0  0.0   0.0  0.0  0.0   0.0  0.0  0.0    0.0   0.0  0.0   0.0  0.0  0.0   \n",
       "1  0.0   0.0  0.0  0.0   0.0  0.0  0.0    0.0   0.0  0.0   0.0  0.0  0.0   \n",
       "2  0.0   0.0  0.0  0.0   0.0  0.0  0.0    0.0   0.0  0.0   0.0  0.0  0.0   \n",
       "3  0.0   0.0  0.0  0.0   0.0  0.0  0.0    0.0   0.0  0.0   0.0  0.0  0.0   \n",
       "4  0.0   0.0  0.0  0.0   0.0  0.0  0.0    0.0   0.0  0.0   0.0  0.0  0.0   \n",
       "\n",
       "   170m   18  181  18pts   19  191m  1946  1948  1949  1950  1952  1955  1960  \\\n",
       "0   0.0  0.0  0.0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "1   0.0  0.0  0.0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2   0.0  0.0  0.0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3   0.0  0.0  0.0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4   0.0  0.0  0.0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   1960s  1965  1967  1968  1969  1970s  1973  1974  1976  1978  1979  1980  \\\n",
       "0    0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "1    0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2    0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3    0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4    0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   1980s  1981  1982  1984  1985  1986  1987  1988  1989  1990  1990s  1991  \\\n",
       "0    0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   \n",
       "1    0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   \n",
       "2    0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   \n",
       "3    0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   \n",
       "4    0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   \n",
       "\n",
       "   1992  1993  1994  1995  1996  1997  1998  1999  19rebs   1a  1nei5nsf8i  \\\n",
       "0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0     0.0  0.0         0.0   \n",
       "1   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0     0.0  0.0         0.0   \n",
       "2   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0     0.0  0.0         0.0   \n",
       "3   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0     0.0  0.0         0.0   \n",
       "4   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0     0.0  0.0         0.0   \n",
       "\n",
       "   1on1  1st  1tb  1v1   20  200  2000  2000s  2001  2002  2003  2004  2005  \\\n",
       "0   0.0  0.0  0.0  0.0  0.0  0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "1   0.0  0.0  0.0  0.0  0.0  0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2   0.0  0.0  0.0  0.0  0.0  0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3   0.0  0.0  0.0  0.0  0.0  0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4   0.0  0.0  0.0  0.0  0.0  0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   2006  2007  2007y  2008  2009  200lbs  2010  2010s  2011  2012  2013  2014  \\\n",
       "0   0.0   0.0    0.0   0.0   0.0     0.0   0.0    0.0   0.0   0.0   0.0   0.0   \n",
       "1   0.0   0.0    0.0   0.0   0.0     0.0   0.0    0.0   0.0   0.0   0.0   0.0   \n",
       "2   0.0   0.0    0.0   0.0   0.0     0.0   0.0    0.0   0.0   0.0   0.0   0.0   \n",
       "3   0.0   0.0    0.0   0.0   0.0     0.0   0.0    0.0   0.0   0.0   0.0   0.0   \n",
       "4   0.0   0.0    0.0   0.0   0.0     0.0   0.0    0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   2015  2016  2017  2018  2019  2020  2020s  2021  2022  2023  2024  2025  \\\n",
       "0   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "1   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4   0.0   0.0   0.0   0.0   0.0   0.0    0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   2026  20s  20th   21  21ish  21st   22   23  23rd   24  245  249  24m  \\\n",
       "0   0.0  0.0   0.0  0.0    0.0   0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0   \n",
       "1   0.0  0.0   0.0  0.0    0.0   0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0   \n",
       "2   0.0  0.0   0.0  0.0    0.0   0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0   \n",
       "3   0.0  0.0   0.0  0.0    0.0   0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0   \n",
       "4   0.0  0.0   0.0  0.0    0.0   0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   24pts  24th   25  250  25ish  25m  25th   26  2625  26pts   27   28  280  \\\n",
       "0    0.0   0.0  0.0  0.0    0.0  0.0   0.0  0.0   0.0    0.0  0.0  0.0  0.0   \n",
       "1    0.0   0.0  0.0  0.0    0.0  0.0   0.0  0.0   0.0    0.0  0.0  0.0  0.0   \n",
       "2    0.0   0.0  0.0  0.0    0.0  0.0   0.0  0.0   0.0    0.0  0.0  0.0  0.0   \n",
       "3    0.0   0.0  0.0  0.0    0.0  0.0   0.0  0.0   0.0    0.0  0.0  0.0  0.0   \n",
       "4    0.0   0.0  0.0  0.0    0.0  0.0   0.0  0.0   0.0    0.0  0.0  0.0  0.0   \n",
       "\n",
       "    29  29m   2k  2k11  2k19  2k20   2m  2nd  2pm  2pt  2pts        30  300  \\\n",
       "0  0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.000000  0.0   \n",
       "1  0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.000000  0.0   \n",
       "2  0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.000000  0.0   \n",
       "3  0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.000000  0.0   \n",
       "4  0.0  0.0  0.0   0.0   0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.354199  0.0   \n",
       "\n",
       "   300k  3041  30m  30pm  30th   31  310  31pts   32   33  33m   34  343   35  \\\n",
       "0   0.0   0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1   0.0   0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2   0.0   0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3   0.0   0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4   0.0   0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   350   36   37   38   39   3b  3fgm   3p  3pa  3pm  3ppg  3pt  3pts   3q  \\\n",
       "0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0   0.0  0.0   \n",
       "1  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0   0.0  0.0   \n",
       "2  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0   0.0  0.0   \n",
       "3  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0   0.0  0.0   \n",
       "4  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0  0.0   0.0  0.0   \n",
       "\n",
       "   3rd  3rdq   3s   3x   40  400  40k   41  41901   42  420  42nd   43   44  \\\n",
       "0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0   0.0  0.0  0.0   \n",
       "1  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0   0.0  0.0  0.0   \n",
       "2  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0   0.0  0.0  0.0   \n",
       "3  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0   0.0  0.0  0.0   \n",
       "4  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0   0.0  0.0  0.0   \n",
       "\n",
       "   44th   45   47   48   49  4billion   4k  4pm  4th   4x   50  500  500s  \\\n",
       "0   0.0  0.0  0.0  0.0  0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0   \n",
       "1   0.0  0.0  0.0  0.0  0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0   \n",
       "2   0.0  0.0  0.0  0.0  0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0   \n",
       "3   0.0  0.0  0.0  0.0  0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0   \n",
       "4   0.0  0.0  0.0  0.0  0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0   \n",
       "\n",
       "   50m  50ppg  50s   51   52   53  538   54   55   56  560k   57  57m   58  \\\n",
       "0  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "1  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "2  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "3  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "4  0.0    0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "\n",
       "   5apg  5asts  5bpg  5etfw   5m  5pm  5ppg  5th  5v5   60  60s   61   62  \\\n",
       "0   0.0    0.0   0.0    0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1   0.0    0.0   0.0    0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2   0.0    0.0   0.0    0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3   0.0    0.0   0.0    0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4   0.0    0.0   0.0    0.0  0.0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   630  632  633   65   66   67  67201bb8655db6c0   68  68m   69  6ixth   6m  \\\n",
       "0  0.0  0.0  0.0  0.0  0.0  0.0               0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "1  0.0  0.0  0.0  0.0  0.0  0.0               0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "2  0.0  0.0  0.0  0.0  0.0  0.0               0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "3  0.0  0.0  0.0  0.0  0.0  0.0               0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "4  0.0  0.0  0.0  0.0  0.0  0.0               0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "\n",
       "   6th   70  70m  70s   71   72   73  73m   74  748   75   76  76ers   77  \\\n",
       "0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "1  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "2  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "3  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "4  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    0.0  0.0   \n",
       "\n",
       "    78   79  7bd4uxa  7rpg  7th   7x   80  800  80s   81   82   83   84   85  \\\n",
       "0  0.0  0.0      0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1  0.0  0.0      0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2  0.0  0.0      0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3  0.0  0.0      0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4  0.0  0.0      0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "    86  86th   88   89  89m  8th   90  900  90s   91   92   93   94   95   96  \\\n",
       "0  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4  0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "    97   98  982  983   99  99nzd   9m  9pm  _jordan  _rowdy  aaron  aba  \\\n",
       "0  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0      0.0     0.0    0.0  0.0   \n",
       "1  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0      0.0     0.0    0.0  0.0   \n",
       "2  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0      0.0     0.0    0.0  0.0   \n",
       "3  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0      0.0     0.0    0.0  0.0   \n",
       "4  0.0  0.0  0.0  0.0  0.0    0.0  0.0  0.0      0.0     0.0    0.0  0.0   \n",
       "\n",
       "   abandoned  abc  abdul  abdur  abe  abilities  ability  able  abolish  \\\n",
       "0        0.0  0.0    0.0    0.0  0.0        0.0      0.0   0.0      0.0   \n",
       "1        0.0  0.0    0.0    0.0  0.0        0.0      0.0   0.0      0.0   \n",
       "2        0.0  0.0    0.0    0.0  0.0        0.0      0.0   0.0      0.0   \n",
       "3        0.0  0.0    0.0    0.0  0.0        0.0      0.0   0.0      0.0   \n",
       "4        0.0  0.0    0.0    0.0  0.0        0.0      0.0   0.0      0.0   \n",
       "\n",
       "   abridged  abroad  absence  absent  absolute  absolutely  absurd  abuse  \\\n",
       "0       0.0     0.0      0.0     0.0       0.0         0.0     0.0    0.0   \n",
       "1       0.0     0.0      0.0     0.0       0.0         0.0     0.0    0.0   \n",
       "2       0.0     0.0      0.0     0.0       0.0         0.0     0.0    0.0   \n",
       "3       0.0     0.0      0.0     0.0       0.0         0.0     0.0    0.0   \n",
       "4       0.0     0.0      0.0     0.0       0.0         0.0     0.0    0.0   \n",
       "\n",
       "   abusing  abysmal   ac  academic  academy  accent  accept  accepted  access  \\\n",
       "0      0.0      0.0  0.0       0.0      0.0     0.0     0.0       0.0     0.0   \n",
       "1      0.0      0.0  0.0       0.0      0.0     0.0     0.0       0.0     0.0   \n",
       "2      0.0      0.0  0.0       0.0      0.0     0.0     0.0       0.0     0.0   \n",
       "3      0.0      0.0  0.0       0.0      0.0     0.0     0.0       0.0     0.0   \n",
       "4      0.0      0.0  0.0       0.0      0.0     0.0     0.0       0.0     0.0   \n",
       "\n",
       "   accessories  accident  acclimation  accomplish  accomplishments  according  \\\n",
       "0          0.0       0.0          0.0         0.0              0.0        0.0   \n",
       "1          0.0       0.0          0.0         0.0              0.0        0.0   \n",
       "2          0.0       0.0          0.0         0.0              0.0        0.0   \n",
       "3          0.0       0.0          0.0         0.0              0.0        0.0   \n",
       "4          0.0       0.0          0.0         0.0              0.0        0.0   \n",
       "\n",
       "   accordingly  account  accumulator  accuracy  accurate  accurately  accuse  \\\n",
       "0          0.0      0.0          0.0       0.0       0.0         0.0     0.0   \n",
       "1          0.0      0.0          0.0       0.0       0.0         0.0     0.0   \n",
       "2          0.0      0.0          0.0       0.0       0.0         0.0     0.0   \n",
       "3          0.0      0.0          0.0       0.0       0.0         0.0     0.0   \n",
       "4          0.0      0.0          0.0       0.0       0.0         0.0     0.0   \n",
       "\n",
       "   accused  accuser  achieve  achieved  achievements  achilles  acknowledging  \\\n",
       "0      0.0      0.0      0.0       0.0           0.0       0.0            0.0   \n",
       "1      0.0      0.0      0.0       0.0           0.0       0.0            0.0   \n",
       "2      0.0      0.0      0.0       0.0           0.0       0.0            0.0   \n",
       "3      0.0      0.0      0.0       0.0           0.0       0.0            0.0   \n",
       "4      0.0      0.0      0.0       0.0           0.0       0.0            0.0   \n",
       "\n",
       "   ackshually  acl  acquire  acquired  acquires  acquisitions  acquring  act  \\\n",
       "0         0.0  0.0      0.0       0.0       0.0           0.0       0.0  0.0   \n",
       "1         0.0  0.0      0.0       0.0       0.0           0.0       0.0  0.0   \n",
       "2         0.0  0.0      0.0       0.0       0.0           0.0       0.0  0.0   \n",
       "3         0.0  0.0      0.0       0.0       0.0           0.0       0.0  0.0   \n",
       "4         0.0  0.0      0.0       0.0       0.0           0.0       0.0  0.0   \n",
       "\n",
       "   acting  action  activates  active  activism  activity  actors  actual  \\\n",
       "0     0.0     0.0        0.0     0.0       0.0       0.0     0.0     0.0   \n",
       "1     0.0     0.0        0.0     0.0       0.0       0.0     0.0     0.0   \n",
       "2     0.0     0.0        0.0     0.0       0.0       0.0     0.0     0.0   \n",
       "3     0.0     0.0        0.0     0.0       0.0       0.0     0.0     0.0   \n",
       "4     0.0     0.0        0.0     0.0       0.0       0.0     0.0     0.0   \n",
       "\n",
       "   actually  acwishtv   ad  adam  adams  adande  adaptation  add  added  \\\n",
       "0       0.0       0.0  0.0   0.0    0.0     0.0         0.0  0.0    0.0   \n",
       "1       0.0       0.0  0.0   0.0    0.0     0.0         0.0  0.0    0.0   \n",
       "2       0.0       0.0  0.0   0.0    0.0     0.0         0.0  0.0    0.0   \n",
       "3       0.0       0.0  0.0   0.0    0.0     0.0         0.0  0.0    0.0   \n",
       "4       0.0       0.0  0.0   0.0    0.0     0.0         0.0  0.0    0.0   \n",
       "\n",
       "   adding  addison  addition  address  addresses  addressing  adebayo  adhd  \\\n",
       "0     0.0      0.0       0.0      0.0        0.0         0.0      0.0   0.0   \n",
       "1     0.0      0.0       0.0      0.0        0.0         0.0      0.0   0.0   \n",
       "2     0.0      0.0       0.0      0.0        0.0         0.0      0.0   0.0   \n",
       "3     0.0      0.0       0.0      0.0        0.0         0.0      0.0   0.0   \n",
       "4     0.0      0.0       0.0      0.0        0.0         0.0      0.0   0.0   \n",
       "\n",
       "   adjective  adjust  adjusted  adjustments  adjusts  administration  \\\n",
       "0        0.0     0.0       0.0          0.0      0.0             0.0   \n",
       "1        0.0     0.0       0.0          0.0      0.0             0.0   \n",
       "2        0.0     0.0       0.0          0.0      0.0             0.0   \n",
       "3        0.0     0.0       0.0          0.0      0.0             0.0   \n",
       "4        0.0     0.0       0.0          0.0      0.0             0.0   \n",
       "\n",
       "   admirably  admiral  admit  admits  admitted  adopt  adopted  adrian  \\\n",
       "0        0.0      0.0    0.0     0.0       0.0    0.0      0.0     0.0   \n",
       "1        0.0      0.0    0.0     0.0       0.0    0.0      0.0     0.0   \n",
       "2        0.0      0.0    0.0     0.0       0.0    0.0      0.0     0.0   \n",
       "3        0.0      0.0    0.0     0.0       0.0    0.0      0.0     0.0   \n",
       "4        0.0      0.0    0.0     0.0       0.0    0.0      0.0     0.0   \n",
       "\n",
       "   advance  advanced  advantage  advantages  adventure  advertisement  advice  \\\n",
       "0      0.0       0.0        0.0         0.0        0.0            0.0     0.0   \n",
       "1      0.0       0.0        0.0         0.0        0.0            0.0     0.0   \n",
       "2      0.0       0.0        0.0         0.0        0.0            0.0     0.0   \n",
       "3      0.0       0.0        0.0         0.0        0.0            0.0     0.0   \n",
       "4      0.0       0.0        0.0         0.0        0.0            0.0     0.0   \n",
       "\n",
       "   advija  advising  advocated  aerosmith  affect  affected  affecting  \\\n",
       "0     0.0       0.0        0.0        0.0     0.0       0.0        0.0   \n",
       "1     0.0       0.0        0.0        0.0     0.0       0.0        0.0   \n",
       "2     0.0       0.0        0.0        0.0     0.0       0.0        0.0   \n",
       "3     0.0       0.0        0.0        0.0     0.0       0.0        0.0   \n",
       "4     0.0       0.0        0.0        0.0     0.0       0.0        0.0   \n",
       "\n",
       "   affiliated  afford  afforded    afraid  africa  african  aftershow  \\\n",
       "0         0.0     0.0       0.0  0.000000     0.0      0.0        0.0   \n",
       "1         0.0     0.0       0.0  0.000000     0.0      0.0        0.0   \n",
       "2         0.0     0.0       0.0  0.000000     0.0      0.0        0.0   \n",
       "3         0.0     0.0       0.0  0.303839     0.0      0.0        0.0   \n",
       "4         0.0     0.0       0.0  0.000000     0.0      0.0        0.0   \n",
       "\n",
       "   agaisnt  age  agency  agent    agents  aggressive  ago  agree  agreed  \\\n",
       "0      0.0  0.0     0.0    0.0  0.353411         0.0  0.0    0.0     0.0   \n",
       "1      0.0  0.0     0.0    0.0  0.000000         0.0  0.0    0.0     0.0   \n",
       "2      0.0  0.0     0.0    0.0  0.000000         0.0  0.0    0.0     0.0   \n",
       "3      0.0  0.0     0.0    0.0  0.000000         0.0  0.0    0.0     0.0   \n",
       "4      0.0  0.0     0.0    0.0  0.000000         0.0  0.0    0.0     0.0   \n",
       "\n",
       "   agreement  agrees  ahead  ahhhhhhhhh  ahmad   ai  aight  aiming  aims  ain  \\\n",
       "0        0.0     0.0    0.0         0.0    0.0  0.0    0.0     0.0   0.0  0.0   \n",
       "1        0.0     0.0    0.0         0.0    0.0  0.0    0.0     0.0   0.0  0.0   \n",
       "2        0.0     0.0    0.0         0.0    0.0  0.0    0.0     0.0   0.0  0.0   \n",
       "3        0.0     0.0    0.0         0.0    0.0  0.0    0.0     0.0   0.0  0.0   \n",
       "4        0.0     0.0    0.0         0.0    0.0  0.0    0.0     0.0   0.0  0.0   \n",
       "\n",
       "   ainge  aint  air  aired  airs  aita   ak  aka   al  alan  alarmed  alaska  \\\n",
       "0    0.0   0.0  0.0    0.0   0.0   0.0  0.0  0.0  0.0   0.0      0.0     0.0   \n",
       "1    0.0   0.0  0.0    0.0   0.0   0.0  0.0  0.0  0.0   0.0      0.0     0.0   \n",
       "2    0.0   0.0  0.0    0.0   0.0   0.0  0.0  0.0  0.0   0.0      0.0     0.0   \n",
       "3    0.0   0.0  0.0    0.0   0.0   0.0  0.0  0.0  0.0   0.0      0.0     0.0   \n",
       "4    0.0   0.0  0.0    0.0   0.0   0.0  0.0  0.0  0.0   0.0      0.0     0.0   \n",
       "\n",
       "   albert  album  alcindor  alcohol  aldridge  alec  alex  alexander  alexey  \\\n",
       "0     0.0    0.0       0.0      0.0       0.0   0.0   0.0        0.0     0.0   \n",
       "1     0.0    0.0       0.0      0.0       0.0   0.0   0.0        0.0     0.0   \n",
       "2     0.0    0.0       0.0      0.0       0.0   0.0   0.0        0.0     0.0   \n",
       "3     0.0    0.0       0.0      0.0       0.0   0.0   0.0        0.0     0.0   \n",
       "4     0.0    0.0       0.0      0.0       0.0   0.0   0.0        0.0     0.0   \n",
       "\n",
       "   ali  alive  allegation  allegations  ...  wallpaperwednesday  walmart  \\\n",
       "0  0.0    0.0         0.0          0.0  ...                 0.0      0.0   \n",
       "1  0.0    0.0         0.0          0.0  ...                 0.0      0.0   \n",
       "2  0.0    0.0         0.0          0.0  ...                 0.0      0.0   \n",
       "3  0.0    0.0         0.0          0.0  ...                 0.0      0.0   \n",
       "4  0.0    0.0         0.0          0.0  ...                 0.0      0.0   \n",
       "\n",
       "   walt  walton  wang  wanna  want  wanted  wanting  wants  wapo  war  warm  \\\n",
       "0   0.0     0.0   0.0    0.0   0.0     0.0      0.0    0.0   0.0  0.0   0.0   \n",
       "1   0.0     0.0   0.0    0.0   0.0     0.0      0.0    0.0   0.0  0.0   0.0   \n",
       "2   0.0     0.0   0.0    0.0   0.0     0.0      0.0    0.0   0.0  0.0   0.0   \n",
       "3   0.0     0.0   0.0    0.0   0.0     0.0      0.0    0.0   0.0  0.0   0.0   \n",
       "4   0.0     0.0   0.0    0.0   0.0     0.0      0.0    0.0   0.0  0.0   0.0   \n",
       "\n",
       "   warnings  warrant  warrior  warriors  wash  washed  washington  wasn  \\\n",
       "0       0.0      0.0      0.0       0.0   0.0     0.0         0.0   0.0   \n",
       "1       0.0      0.0      0.0       0.0   0.0     0.0         0.0   0.0   \n",
       "2       0.0      0.0      0.0       0.0   0.0     0.0         0.0   0.0   \n",
       "3       0.0      0.0      0.0       0.0   0.0     0.0         0.0   0.0   \n",
       "4       0.0      0.0      0.0       0.0   0.0     0.0         0.0   0.0   \n",
       "\n",
       "   waste  wasted  watch  watched  watching  watchlist  water  watercolour  \\\n",
       "0    0.0     0.0    0.0      0.0       0.0        0.0    0.0          0.0   \n",
       "1    0.0     0.0    0.0      0.0       0.0        0.0    0.0          0.0   \n",
       "2    0.0     0.0    0.0      0.0       0.0        0.0    0.0          0.0   \n",
       "3    0.0     0.0    0.0      0.0       0.0        0.0    0.0          0.0   \n",
       "4    0.0     0.0    0.0      0.0       0.0        0.0    0.0          0.0   \n",
       "\n",
       "   watson  waves  way  wayne  ways  wcf  wcr1  wcsf  wcw  weak  weaker  \\\n",
       "0     0.0    0.0  0.0    0.0   0.0  0.0   0.0   0.0  0.0   0.0     0.0   \n",
       "1     0.0    0.0  0.0    0.0   0.0  0.0   0.0   0.0  0.0   0.0     0.0   \n",
       "2     0.0    0.0  0.0    0.0   0.0  0.0   0.0   0.0  0.0   0.0     0.0   \n",
       "3     0.0    0.0  0.0    0.0   0.0  0.0   0.0   0.0  0.0   0.0     0.0   \n",
       "4     0.0    0.0  0.0    0.0   0.0  0.0   0.0   0.0  0.0   0.0     0.0   \n",
       "\n",
       "   weakness  weaknesses  weapon  wear  webpage  website  websites  webster  \\\n",
       "0       0.0         0.0     0.0   0.0      0.0      0.0       0.0      0.0   \n",
       "1       0.0         0.0     0.0   0.0      0.0      0.0       0.0      0.0   \n",
       "2       0.0         0.0     0.0   0.0      0.0      0.0       0.0      0.0   \n",
       "3       0.0         0.0     0.0   0.0      0.0      0.0       0.0      0.0   \n",
       "4       0.0         0.0     0.0   0.0      0.0      0.0       0.0      0.0   \n",
       "\n",
       "   wednesday  week  weekend  weekly  weeks  weighed  weight  weighted  \\\n",
       "0        0.0   0.0      0.0     0.0    0.0      0.0     0.0       0.0   \n",
       "1        0.0   0.0      0.0     0.0    0.0      0.0     0.0       0.0   \n",
       "2        0.0   0.0      0.0     0.0    0.0      0.0     0.0       0.0   \n",
       "3        0.0   0.0      0.0     0.0    0.0      0.0     0.0       0.0   \n",
       "4        0.0   0.0      0.0     0.0    0.0      0.0     0.0       0.0   \n",
       "\n",
       "   weights  weird  weirder  welcome  wennington  went  weren  wermund  west  \\\n",
       "0      0.0    0.0      0.0      0.0         0.0   0.0    0.0      0.0   0.0   \n",
       "1      0.0    0.0      0.0      0.0         0.0   0.0    0.0      0.0   0.0   \n",
       "2      0.0    0.0      0.0      0.0         0.0   0.0    0.0      0.0   0.0   \n",
       "3      0.0    0.0      0.0      0.0         0.0   0.0    0.0      0.0   0.0   \n",
       "4      0.0    0.0      0.0      0.0         0.0   0.0    0.0      0.0   0.0   \n",
       "\n",
       "   westbrook  westerholm  western  wet  wether  wfan  whack  whatifsports  \\\n",
       "0        0.0         0.0      0.0  0.0     0.0   0.0    0.0           0.0   \n",
       "1        0.0         0.0      0.0  0.0     0.0   0.0    0.0           0.0   \n",
       "2        0.0         0.0      0.0  0.0     0.0   0.0    0.0           0.0   \n",
       "3        0.0         0.0      0.0  0.0     0.0   0.0    0.0           0.0   \n",
       "4        0.0         0.0      0.0  0.0     0.0   0.0    0.0           0.0   \n",
       "\n",
       "   whats  whatsoever  whistle  white  whites  whiteside  whoa  wholesome  \\\n",
       "0    0.0         0.0      0.0    0.0     0.0        0.0   0.0        0.0   \n",
       "1    0.0         0.0      0.0    0.0     0.0        0.0   0.0        0.0   \n",
       "2    0.0         0.0      0.0    0.0     0.0        0.0   0.0        0.0   \n",
       "3    0.0         0.0      0.0    0.0     0.0        0.0   0.0        0.0   \n",
       "4    0.0         0.0      0.0    0.0     0.0        0.0   0.0        0.0   \n",
       "\n",
       "   whooped  whooping  whos  wide  widely  widest  wife  wiggins  wiki  \\\n",
       "0      0.0       0.0   0.0   0.0     0.0     0.0   0.0      0.0   0.0   \n",
       "1      0.0       0.0   0.0   0.0     0.0     0.0   0.0      0.0   0.0   \n",
       "2      0.0       0.0   0.0   0.0     0.0     0.0   0.0      0.0   0.0   \n",
       "3      0.0       0.0   0.0   0.0     0.0     0.0   0.0      0.0   0.0   \n",
       "4      0.0       0.0   0.0   0.0     0.0     0.0   0.0      0.0   0.0   \n",
       "\n",
       "   wikipedia  wilbon  wild  wildcard  wilkins  willamson  willard  willed  \\\n",
       "0        0.0     0.0   0.0       0.0      0.0        0.0      0.0     0.0   \n",
       "1        0.0     0.0   0.0       0.0      0.0        0.0      0.0     0.0   \n",
       "2        0.0     0.0   0.0       0.0      0.0        0.0      0.0     0.0   \n",
       "3        0.0     0.0   0.0       0.0      0.0        0.0      0.0     0.0   \n",
       "4        0.0     0.0   0.0       0.0      0.0        0.0      0.0     0.0   \n",
       "\n",
       "   william  williams  williamson  williamsons  willing  willingness  willis  \\\n",
       "0      0.0       0.0         0.0          0.0      0.0          0.0     0.0   \n",
       "1      0.0       0.0         0.0          0.0      0.0          0.0     0.0   \n",
       "2      0.0       0.0         0.0          0.0      0.0          0.0     0.0   \n",
       "3      0.0       0.0         0.0          0.0      0.0          0.0     0.0   \n",
       "4      0.0       0.0         0.0          0.0      0.0          0.0     0.0   \n",
       "\n",
       "   wilson  wilt  win  windhorst  winding  windmill  window  windows  winds  \\\n",
       "0     0.0   0.0  0.0        0.0      0.0       0.0     0.0      0.0    0.0   \n",
       "1     0.0   0.0  0.0        0.0      0.0       0.0     0.0      0.0    0.0   \n",
       "2     0.0   0.0  0.0        0.0      0.0       0.0     0.0      0.0    0.0   \n",
       "3     0.0   0.0  0.0        0.0      0.0       0.0     0.0      0.0    0.0   \n",
       "4     0.0   0.0  0.0        0.0      0.0       0.0     0.0      0.0    0.0   \n",
       "\n",
       "   wine  wing  wingo  wings  winner  winners  winnie  winning  wins  wipe  \\\n",
       "0   0.0   0.0    0.0    0.0     0.0      0.0     0.0      0.0   0.0   0.0   \n",
       "1   0.0   0.0    0.0    0.0     0.0      0.0     0.0      0.0   0.0   0.0   \n",
       "2   0.0   0.0    0.0    0.0     0.0      0.0     0.0      0.0   0.0   0.0   \n",
       "3   0.0   0.0    0.0    0.0     0.0      0.0     0.0      0.0   0.0   0.0   \n",
       "4   0.0   0.0    0.0    0.0     0.0      0.0     0.0      0.0   0.0   0.0   \n",
       "\n",
       "   wisdom  wise  wiseman  wish  wish_tv  wished  wishes  withdrawal  \\\n",
       "0     0.0   0.0      0.0   0.0      0.0     0.0     0.0         0.0   \n",
       "1     0.0   0.0      0.0   0.0      0.0     0.0     0.0         0.0   \n",
       "2     0.0   0.0      0.0   0.0      0.0     0.0     0.0         0.0   \n",
       "3     0.0   0.0      0.0   0.0      0.0     0.0     0.0         0.0   \n",
       "4     0.0   0.0      0.0   0.0      0.0     0.0     0.0         0.0   \n",
       "\n",
       "   withdrawals  withdrew  withering  withhold  witness  witnessed  wiz  \\\n",
       "0          0.0       0.0        0.0       0.0      0.0        0.0  0.0   \n",
       "1          0.0       0.0        0.0       0.0      0.0        0.0  0.0   \n",
       "2          0.0       0.0        0.0       0.0      0.0        0.0  0.0   \n",
       "3          0.0       0.0        0.0       0.0      0.0        0.0  0.0   \n",
       "4          0.0       0.0        0.0       0.0      0.0        0.0  0.0   \n",
       "\n",
       "   wizard  wizardry  wizards  wnba  woeful  woefully  woes  woj  wojespn  \\\n",
       "0     0.0       0.0      0.0   0.0     0.0       0.0   0.0  0.0      0.0   \n",
       "1     0.0       0.0      0.0   0.0     0.0       0.0   0.0  0.0      0.0   \n",
       "2     0.0       0.0      0.0   0.0     0.0       0.0   0.0  0.0      0.0   \n",
       "3     0.0       0.0      0.0   0.0     0.0       0.0   0.0  0.0      0.0   \n",
       "4     0.0       0.0      0.0   0.0     0.0       0.0   0.0  0.0      0.0   \n",
       "\n",
       "   wojnarowski  woke  wolves  woman  women  won  wonder  wondered  wonderful  \\\n",
       "0          0.0   0.0     0.0    0.0    0.0  0.0     0.0       0.0        0.0   \n",
       "1          0.0   0.0     0.0    0.0    0.0  0.0     0.0       0.0        0.0   \n",
       "2          0.0   0.0     0.0    0.0    0.0  0.0     0.0       0.0        0.0   \n",
       "3          0.0   0.0     0.0    0.0    0.0  0.0     0.0       0.0        0.0   \n",
       "4          0.0   0.0     0.0    0.0    0.0  0.0     0.0       0.0        0.0   \n",
       "\n",
       "   wondering  wood  woods  worded  words  work  worked  worker  working  \\\n",
       "0        0.0   0.0    0.0     0.0    0.0   0.0     0.0     0.0      0.0   \n",
       "1        0.0   0.0    0.0     0.0    0.0   0.0     0.0     0.0      0.0   \n",
       "2        0.0   0.0    0.0     0.0    0.0   0.0     0.0     0.0      0.0   \n",
       "3        0.0   0.0    0.0     0.0    0.0   0.0     0.0     0.0      0.0   \n",
       "4        0.0   0.0    0.0     0.0    0.0   0.0     0.0     0.0      0.0   \n",
       "\n",
       "   workout  workouts  works  world  worm  worn  worried  worry  worrying  \\\n",
       "0      0.0       0.0    0.0    0.0   0.0   0.0      0.0    0.0       0.0   \n",
       "1      0.0       0.0    0.0    0.0   0.0   0.0      0.0    0.0       0.0   \n",
       "2      0.0       0.0    0.0    0.0   0.0   0.0      0.0    0.0       0.0   \n",
       "3      0.0       0.0    0.0    0.0   0.0   0.0      0.0    0.0       0.0   \n",
       "4      0.0       0.0    0.0    0.0   0.0   0.0      0.0    0.0       0.0   \n",
       "\n",
       "   worse  worst  worth  worthy  wouldn  wounded  wow   wr  wrapping  wrecking  \\\n",
       "0    0.0    0.0    0.0     0.0     0.0      0.0  0.0  0.0       0.0       0.0   \n",
       "1    0.0    0.0    0.0     0.0     0.0      0.0  0.0  0.0       0.0       0.0   \n",
       "2    0.0    0.0    0.0     0.0     0.0      0.0  0.0  0.0       0.0       0.0   \n",
       "3    0.0    0.0    0.0     0.0     0.0      0.0  0.0  0.0       0.0       0.0   \n",
       "4    0.0    0.0    0.0     0.0     0.0      0.0  0.0  0.0       0.0       0.0   \n",
       "\n",
       "   wrestle  wrestling  wright  wrights  wrist  write  writer  writers  \\\n",
       "0      0.0        0.0     0.0      0.0    0.0    0.0     0.0      0.0   \n",
       "1      0.0        0.0     0.0      0.0    0.0    0.0     0.0      0.0   \n",
       "2      0.0        0.0     0.0      0.0    0.0    0.0     0.0      0.0   \n",
       "3      0.0        0.0     0.0      0.0    0.0    0.0     0.0      0.0   \n",
       "4      0.0        0.0     0.0      0.0    0.0    0.0     0.0      0.0   \n",
       "\n",
       "   writing  wrong  wrote   ws  wscf  wsj  wtf  wuhan  wwe  wwf  www  wyretap  \\\n",
       "0      0.0    0.0    0.0  0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0      0.0   \n",
       "1      0.0    0.0    0.0  0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0      0.0   \n",
       "2      0.0    0.0    0.0  0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0      0.0   \n",
       "3      0.0    0.0    0.0  0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0      0.0   \n",
       "4      0.0    0.0    0.0  0.0   0.0  0.0  0.0    0.0  0.0  0.0  0.0      0.0   \n",
       "\n",
       "   xfinity  xfl  xposted   xs   ya  yabusele  yahoo  yamcha  yao  yeah  year  \\\n",
       "0      0.0  0.0      0.0  0.0  0.0       0.0    0.0     0.0  0.0   0.0   0.0   \n",
       "1      0.0  0.0      0.0  0.0  0.0       0.0    0.0     0.0  0.0   0.0   0.0   \n",
       "2      0.0  0.0      0.0  0.0  0.0       0.0    0.0     0.0  0.0   0.0   0.0   \n",
       "3      0.0  0.0      0.0  0.0  0.0       0.0    0.0     0.0  0.0   0.0   0.0   \n",
       "4      0.0  0.0      0.0  0.0  0.0       0.0    0.0     0.0  0.0   0.0   0.0   \n",
       "\n",
       "      years  yehoshaphat  yellow  yells  yep  yes  yesterday  yikes  yips  \\\n",
       "0  0.000000          0.0     0.0    0.0  0.0  0.0        0.0    0.0   0.0   \n",
       "1  0.000000          0.0     0.0    0.0  0.0  0.0        0.0    0.0   0.0   \n",
       "2  0.000000          0.0     0.0    0.0  0.0  0.0        0.0    0.0   0.0   \n",
       "3  0.000000          0.0     0.0    0.0  0.0  0.0        0.0    0.0   0.0   \n",
       "4  0.316619          0.0     0.0    0.0  0.0  0.0        0.0    0.0   0.0   \n",
       "\n",
       "   yitzhak  yoga  york  young  younger  youngest  youtu  youtube  youtubers  \\\n",
       "0      0.0   0.0   0.0    0.0      0.0       0.0    0.0      0.0        0.0   \n",
       "1      0.0   0.0   0.0    0.0      0.0       0.0    0.0      0.0        0.0   \n",
       "2      0.0   0.0   0.0    0.0      0.0       0.0    0.0      0.0        0.0   \n",
       "3      0.0   0.0   0.0    0.0      0.0       0.0    0.0      0.0        0.0   \n",
       "4      0.0   0.0   0.0    0.0      0.0       0.0    0.0      0.0        0.0   \n",
       "\n",
       "   ystrd  yugoslav  yugoslavia  yugoslavian  zach  zachlowe_nba  zack  zanin  \\\n",
       "0    0.0       0.0         0.0          0.0   0.0           0.0   0.0    0.0   \n",
       "1    0.0       0.0         0.0          0.0   0.0           0.0   0.0    0.0   \n",
       "2    0.0       0.0         0.0          0.0   0.0           0.0   0.0    0.0   \n",
       "3    0.0       0.0         0.0          0.0   0.0           0.0   0.0    0.0   \n",
       "4    0.0       0.0         0.0          0.0   0.0           0.0   0.0    0.0   \n",
       "\n",
       "   zaza  zealand  zeke  zeller  zen  zero  zeroing      zion  zone  zones  \\\n",
       "0   0.0      0.0   0.0     0.0  0.0   0.0      0.0  0.000000   0.0    0.0   \n",
       "1   0.0      0.0   0.0     0.0  0.0   0.0      0.0  0.000000   0.0    0.0   \n",
       "2   0.0      0.0   0.0     0.0  0.0   0.0      0.0  0.000000   0.0    0.0   \n",
       "3   0.0      0.0   0.0     0.0  0.0   0.0      0.0  0.197584   0.0    0.0   \n",
       "4   0.0      0.0   0.0     0.0  0.0   0.0      0.0  0.000000   0.0    0.0   \n",
       "\n",
       "   zoom  กกล   กข  กคนต   กจ  กจากไปด  กชายต  กชายสต  กทำเส  กมากจนต   กร  \\\n",
       "0   0.0  0.0  0.0   0.0  0.0      0.0    0.0     0.0    0.0      0.0  0.0   \n",
       "1   0.0  0.0  0.0   0.0  0.0      0.0    0.0     0.0    0.0      0.0  0.0   \n",
       "2   0.0  0.0  0.0   0.0  0.0      0.0    0.0     0.0    0.0      0.0  0.0   \n",
       "3   0.0  0.0  0.0   0.0  0.0      0.0    0.0     0.0    0.0      0.0  0.0   \n",
       "4   0.0  0.0  0.0   0.0  0.0      0.0    0.0     0.0    0.0      0.0  0.0   \n",
       "\n",
       "    กล  กลายเป  กษาโคว   กส   กฯ   กา  การบ  การเภส  กาใช  กเง  กเป  กเร  \\\n",
       "0  0.0     0.0     0.0  0.0  0.0  0.0   0.0     0.0   0.0  0.0  0.0  0.0   \n",
       "1  0.0     0.0     0.0  0.0  0.0  0.0   0.0     0.0   0.0  0.0  0.0  0.0   \n",
       "2  0.0     0.0     0.0  0.0  0.0  0.0   0.0     0.0   0.0  0.0  0.0  0.0   \n",
       "3  0.0     0.0     0.0  0.0  0.0  0.0   0.0     0.0   0.0  0.0  0.0  0.0   \n",
       "4  0.0     0.0     0.0  0.0  0.0  0.0   0.0     0.0   0.0  0.0  0.0  0.0   \n",
       "\n",
       "   ขวบกอดศพแม  ขอกต  ของ  ขานร  ขโมยรถเก   คซ  คนร   คร  ครม   คล   คว   งก  \\\n",
       "0         0.0   0.0  0.0   0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1         0.0   0.0  0.0   0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2         0.0   0.0  0.0   0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3         0.0   0.0  0.0   0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4         0.0   0.0  0.0   0.0       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   งกว   งค  งคลอด  งชนต   งด   งพ   งย   งว   งส  งเด  งเทพ  งเม  งแต  งแม  \\\n",
       "0  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "1  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "2  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "3  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "4  0.0  0.0    0.0   0.0  0.0  0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   \n",
       "\n",
       "   งแหกโค   งๆ  ฉาวโฉ  ชนเสาไฟฟ  ชมพ  ชอบส  ชาวบ   ญญ   ญป  ฐบาลม  ฐพร  \\\n",
       "0     0.0  0.0    0.0       0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0   \n",
       "1     0.0  0.0    0.0       0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0   \n",
       "2     0.0  0.0    0.0       0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0   \n",
       "3     0.0  0.0    0.0       0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0   \n",
       "4     0.0  0.0    0.0       0.0  0.0   0.0   0.0  0.0  0.0    0.0  0.0   \n",
       "\n",
       "   ดจะไปต  ดตรงเป  ดตลาดบวกพ  ดนตร  ดภาพ   ดว  ดาวโจนส  ดเจน  ดเจนส  ดเห  \\\n",
       "0     0.0     0.0        0.0   0.0   0.0  0.0      0.0   0.0    0.0  0.0   \n",
       "1     0.0     0.0        0.0   0.0   0.0  0.0      0.0   0.0    0.0  0.0   \n",
       "2     0.0     0.0        0.0   0.0   0.0  0.0      0.0   0.0    0.0  0.0   \n",
       "3     0.0     0.0        0.0   0.0   0.0  0.0      0.0   0.0    0.0  0.0   \n",
       "4     0.0     0.0        0.0   0.0   0.0  0.0      0.0   0.0    0.0  0.0   \n",
       "\n",
       "   ดแฮปป   ดๆ  ตยา  ตรวจสอบ  ตอบให   ทธ  ทราย  ทองประสม  ทำเจ  ทำไมไม  นของต  \\\n",
       "0    0.0  0.0  0.0      0.0    0.0  0.0   0.0       0.0   0.0     0.0    0.0   \n",
       "1    0.0  0.0  0.0      0.0    0.0  0.0   0.0       0.0   0.0     0.0    0.0   \n",
       "2    0.0  0.0  0.0      0.0    0.0  0.0   0.0       0.0   0.0     0.0    0.0   \n",
       "3    0.0  0.0  0.0      0.0    0.0  0.0   0.0       0.0   0.0     0.0    0.0   \n",
       "4    0.0  0.0  0.0      0.0    0.0  0.0   0.0       0.0   0.0     0.0    0.0   \n",
       "\n",
       "    นช   นต  นตลา   นท   นน  นปล  นภาพม   นย  นรอม  นระบำ   นล   นส  นหน  นหล  \\\n",
       "0  0.0  0.0   0.0  0.0  0.0  0.0    0.0  0.0   0.0    0.0  0.0  0.0  0.0  0.0   \n",
       "1  0.0  0.0   0.0  0.0  0.0  0.0    0.0  0.0   0.0    0.0  0.0  0.0  0.0  0.0   \n",
       "2  0.0  0.0   0.0  0.0  0.0  0.0    0.0  0.0   0.0    0.0  0.0  0.0  0.0  0.0   \n",
       "3  0.0  0.0   0.0  0.0  0.0  0.0    0.0  0.0   0.0    0.0  0.0  0.0  0.0  0.0   \n",
       "4  0.0  0.0   0.0  0.0  0.0  0.0    0.0  0.0   0.0    0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   นหอม  นอก  นเง  นเจ  นเหต  นเอว  นให  นใหญ  นไทย  นไม   บก   บข  บคาซาก  \\\n",
       "0   0.0  0.0  0.0  0.0   0.0   0.0  0.0   0.0   0.0  0.0  0.0  0.0     0.0   \n",
       "1   0.0  0.0  0.0  0.0   0.0   0.0  0.0   0.0   0.0  0.0  0.0  0.0     0.0   \n",
       "2   0.0  0.0  0.0  0.0   0.0   0.0  0.0   0.0   0.0  0.0  0.0  0.0     0.0   \n",
       "3   0.0  0.0  0.0  0.0   0.0   0.0  0.0   0.0   0.0  0.0  0.0  0.0     0.0   \n",
       "4   0.0  0.0  0.0  0.0   0.0   0.0  0.0   0.0   0.0  0.0  0.0  0.0     0.0   \n",
       "\n",
       "   บจนท   บน  บมาเป   บว  บสาห  บหน  บออกจากบ  บาดเจ  ปแจกอาหารชาวบ  ฟาว  ภาพ  \\\n",
       "0   0.0  0.0    0.0  0.0   0.0  0.0       0.0    0.0            0.0  0.0  0.0   \n",
       "1   0.0  0.0    0.0  0.0   0.0  0.0       0.0    0.0            0.0  0.0  0.0   \n",
       "2   0.0  0.0    0.0  0.0   0.0  0.0       0.0    0.0            0.0  0.0  0.0   \n",
       "3   0.0  0.0    0.0  0.0   0.0  0.0       0.0    0.0            0.0  0.0  0.0   \n",
       "4   0.0  0.0    0.0  0.0   0.0  0.0       0.0    0.0            0.0  0.0  0.0   \n",
       "\n",
       "   ภาพไม   มข  มครอบคล  มตาม  มวยพม  มาตรการเย  มาร  ยงคราง  ยงหลาน  ยงแสน  \\\n",
       "0    0.0  0.0      0.0   0.0    0.0        0.0  0.0     0.0     0.0    0.0   \n",
       "1    0.0  0.0      0.0   0.0    0.0        0.0  0.0     0.0     0.0    0.0   \n",
       "2    0.0  0.0      0.0   0.0    0.0        0.0  0.0     0.0     0.0    0.0   \n",
       "3    0.0  0.0      0.0   0.0    0.0        0.0  0.0     0.0     0.0    0.0   \n",
       "4    0.0  0.0      0.0   0.0    0.0        0.0  0.0     0.0     0.0    0.0   \n",
       "\n",
       "   ยงใจย   ยน  ยนหญ   ยร  ยวพม  ยวยาท  ยวเต  ยใช   รอ   ระ  ราย  ราเว   วข  \\\n",
       "0    0.0  0.0   0.0  0.0   0.0    0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.0   \n",
       "1    0.0  0.0   0.0  0.0   0.0    0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.0   \n",
       "2    0.0  0.0   0.0  0.0   0.0    0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.0   \n",
       "3    0.0  0.0   0.0  0.0   0.0    0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.0   \n",
       "4    0.0  0.0   0.0  0.0   0.0    0.0   0.0  0.0  0.0  0.0  0.0   0.0  0.0   \n",
       "\n",
       "   วขาว  วงจรป   วน  วนต  วยและม  วยโรคระบาดในม   วร   วห  วเอง  วโขกได  วไถ  \\\n",
       "0   0.0    0.0  0.0  0.0     0.0            0.0  0.0  0.0   0.0     0.0  0.0   \n",
       "1   0.0    0.0  0.0  0.0     0.0            0.0  0.0  0.0   0.0     0.0  0.0   \n",
       "2   0.0    0.0  0.0  0.0     0.0            0.0  0.0  0.0   0.0     0.0  0.0   \n",
       "3   0.0    0.0  0.0  0.0     0.0            0.0  0.0  0.0   0.0     0.0  0.0   \n",
       "4   0.0    0.0  0.0  0.0     0.0            0.0  0.0  0.0   0.0     0.0  0.0   \n",
       "\n",
       "    ศก  สบายใจ  สมประกอบ  สหกรณ  สาขาเช  หมาก  หลานสาวบ   อก  อกเก  อกเป   อง  \\\n",
       "0  0.0     0.0       0.0    0.0     0.0   0.0       0.0  0.0   0.0   0.0  0.0   \n",
       "1  0.0     0.0       0.0    0.0     0.0   0.0       0.0  0.0   0.0   0.0  0.0   \n",
       "2  0.0     0.0       0.0    0.0     0.0   0.0       0.0  0.0   0.0   0.0  0.0   \n",
       "3  0.0     0.0       0.0    0.0     0.0   0.0       0.0  0.0   0.0   0.0  0.0   \n",
       "4  0.0     0.0       0.0    0.0     0.0   0.0       0.0  0.0   0.0   0.0  0.0   \n",
       "\n",
       "   องค  องท  องภาพหวาน  องม  องย  องเช  อทำก   อน  อนตายตาม  อบห  อมด  อมเล  \\\n",
       "0  0.0  0.0        0.0  0.0  0.0   0.0   0.0  0.0       0.0  0.0  0.0   0.0   \n",
       "1  0.0  0.0        0.0  0.0  0.0   0.0   0.0  0.0       0.0  0.0  0.0   0.0   \n",
       "2  0.0  0.0        0.0  0.0  0.0   0.0   0.0  0.0       0.0  0.0  0.0   0.0   \n",
       "3  0.0  0.0        0.0  0.0  0.0   0.0   0.0  0.0       0.0  0.0  0.0   0.0   \n",
       "4  0.0  0.0        0.0  0.0  0.0   0.0   0.0  0.0       0.0  0.0  0.0   0.0   \n",
       "\n",
       "   อยออกมานอนน  อยโพสต   อห  อหร  อะเมซ  อาร  อเปล  อเลขเด  ะไวมาก  าคลอดแล  \\\n",
       "0          0.0     0.0  0.0  0.0    0.0  0.0   0.0     0.0     0.0      0.0   \n",
       "1          0.0     0.0  0.0  0.0    0.0  0.0   0.0     0.0     0.0      0.0   \n",
       "2          0.0     0.0  0.0  0.0    0.0  0.0   0.0     0.0     0.0      0.0   \n",
       "3          0.0     0.0  0.0  0.0    0.0  0.0   0.0     0.0     0.0      0.0   \n",
       "4          0.0     0.0  0.0  0.0    0.0  0.0   0.0     0.0     0.0      0.0   \n",
       "\n",
       "   าชก   าต   าท   าน  านคน  านเลย  านโคว  านใหม   าป  าผล  ายควงป   าร   าล  \\\n",
       "0  0.0  0.0  0.0  0.0   0.0    0.0    0.0    0.0  0.0  0.0     0.0  0.0  0.0   \n",
       "1  0.0  0.0  0.0  0.0   0.0    0.0    0.0    0.0  0.0  0.0     0.0  0.0  0.0   \n",
       "2  0.0  0.0  0.0  0.0   0.0    0.0    0.0    0.0  0.0  0.0     0.0  0.0  0.0   \n",
       "3  0.0  0.0  0.0  0.0   0.0    0.0    0.0    0.0  0.0  0.0     0.0  0.0  0.0   \n",
       "4  0.0  0.0  0.0  0.0   0.0    0.0    0.0    0.0  0.0  0.0     0.0  0.0  0.0   \n",
       "\n",
       "   าวจ  าวทดลองว  าวร  าหน  าแรงส  าใน  ำตาไหลเห   ำผ  ำฝน   เข  เคร  \\\n",
       "0  0.0       0.0  0.0  0.0    0.0  0.0       0.0  0.0  0.0  0.0  0.0   \n",
       "1  0.0       0.0  0.0  0.0    0.0  0.0       0.0  0.0  0.0  0.0  0.0   \n",
       "2  0.0       0.0  0.0  0.0    0.0  0.0       0.0  0.0  0.0  0.0  0.0   \n",
       "3  0.0       0.0  0.0  0.0    0.0  0.0       0.0  0.0  0.0  0.0  0.0   \n",
       "4  0.0       0.0  0.0  0.0    0.0  0.0       0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "   เคาะแนวทางช  เจร   เช   เด   เท  เทาๆ  เนย  เบบ   เป  เผยห  เฟซบ   เร   เล  \\\n",
       "0          0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0   0.0  0.0  0.0   \n",
       "1          0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0   0.0  0.0  0.0   \n",
       "2          0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0   0.0  0.0  0.0   \n",
       "3          0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0   0.0  0.0  0.0   \n",
       "4          0.0  0.0  0.0  0.0  0.0   0.0  0.0  0.0  0.0   0.0   0.0  0.0  0.0   \n",
       "\n",
       "   เลด  เสพยาแล  เองในประเทศ  เอวเป  แชมป   แซ   แต  แปลกใจ   แล  แอน  โชค  \\\n",
       "0  0.0      0.0          0.0    0.0   0.0  0.0  0.0     0.0  0.0  0.0  0.0   \n",
       "1  0.0      0.0          0.0    0.0   0.0  0.0  0.0     0.0  0.0  0.0  0.0   \n",
       "2  0.0      0.0          0.0    0.0   0.0  0.0  0.0     0.0  0.0  0.0  0.0   \n",
       "3  0.0      0.0          0.0    0.0   0.0  0.0  0.0     0.0  0.0  0.0  0.0   \n",
       "4  0.0      0.0          0.0    0.0   0.0  0.0  0.0     0.0  0.0  0.0  0.0   \n",
       "\n",
       "   โชต   ใช  ในท  ใบหน   ให  ไฟคลอกด   ไม   ไว   공식  메이저놀이터  스포츠토토  안전놀이터   추천  \n",
       "0  0.0  0.0  0.0   0.0  0.0      0.0  0.0  0.0  0.0     0.0    0.0    0.0  0.0  \n",
       "1  0.0  0.0  0.0   0.0  0.0      0.0  0.0  0.0  0.0     0.0    0.0    0.0  0.0  \n",
       "2  0.0  0.0  0.0   0.0  0.0      0.0  0.0  0.0  0.0     0.0    0.0    0.0  0.0  \n",
       "3  0.0  0.0  0.0   0.0  0.0      0.0  0.0  0.0  0.0     0.0    0.0    0.0  0.0  \n",
       "4  0.0  0.0  0.0   0.0  0.0      0.0  0.0  0.0  0.0     0.0    0.0    0.0  0.0  \n",
       "\n",
       "[5 rows x 7587 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tv_lr = pd.DataFrame(tv.fit_transform(X_train).toarray(),\n",
    "                  columns=tv.get_feature_names())\n",
    "tv_lr.head()\n",
    "tv_lr.sum().sort_values(ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nba        213.938693\n",
       "players    109.403356\n",
       "game       105.227975\n",
       "lebron     102.874470\n",
       "team       102.039907\n",
       "player      95.831706\n",
       "time        93.333517\n",
       "season      89.202771\n",
       "best        86.652822\n",
       "jordan      84.156918\n",
       "think       67.728228\n",
       "trade       65.051547\n",
       "2019        61.453194\n",
       "vs          59.890285\n",
       "teams       56.284670\n",
       "dtype: float64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tv_lr.sum().sort_values(ascending=False).head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = tv.fit_transform(X_train)\n",
    "\n",
    "X_test = tv.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression TFIDF Training Score: 0.8673998428908091\n",
      "Logistic Regression TFIDF Testing Score: 0.7257653061224489\n"
     ]
    }
   ],
   "source": [
    "# Instantiate logistic regression\n",
    "lr = LogisticRegression(solver = 'liblinear')\n",
    "\n",
    "# Fit logistic regression.\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "# Evaluate logistic regression.\n",
    "print(f'Logistic Regression TFIDF Training Score: {lr.score(X_train, y_train)}')\n",
    "print(f'Logistic Regression TFIDF Testing Score: {lr.score(X_test, y_test)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 986,  500],\n",
       "       [ 360, 1290]], dtype=int64)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#make the confusion matrix\n",
    "tf_confusion = lr.fit(X_train, y_train)\n",
    "#set predictions variable\n",
    "predictions = tf_confusion.predict(X_test)\n",
    "#extracts each value\n",
    "tn, fp, fn, tp = confusion_matrix(y_test, predictions).ravel()\n",
    "confusion_matrix(y_test, predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7257653061224489\n"
     ]
    }
   ],
   "source": [
    "lr_tf_accuracy = (tn + tp)/(tn + tp + fp + fn)\n",
    "print(lr_tf_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score=nan,\n",
       "             estimator=Pipeline(memory=None,\n",
       "                                steps=[('tf',\n",
       "                                        TfidfTransformer(norm='l2',\n",
       "                                                         smooth_idf=True,\n",
       "                                                         sublinear_tf=False,\n",
       "                                                         use_idf=True)),\n",
       "                                       ('rf',\n",
       "                                        RandomForestClassifier(bootstrap=True,\n",
       "                                                               ccp_alpha=0.0,\n",
       "                                                               class_weight=None,\n",
       "                                                               criterion='gini',\n",
       "                                                               max_depth=None,\n",
       "                                                               max_features='auto',\n",
       "                                                               max_leaf_nodes=None,\n",
       "                                                               max_samples=None,\n",
       "                                                               min_impurity_decrease=0.0,\n",
       "                                                               min_...\n",
       "                                                               min_samples_split=2,\n",
       "                                                               min_weight_fraction_leaf=0.0,\n",
       "                                                               n_estimators=100,\n",
       "                                                               n_jobs=None,\n",
       "                                                               oob_score=False,\n",
       "                                                               random_state=None,\n",
       "                                                               verbose=0,\n",
       "                                                               warm_start=False))],\n",
       "                                verbose=False),\n",
       "             iid='deprecated', n_jobs=None,\n",
       "             param_grid={'rf__max_depth': [None],\n",
       "                         'rf__max_features': [800, 1000],\n",
       "                         'rf__n_estimators': [25, 50]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring=None, verbose=0)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipe_rf_tf = Pipeline([\n",
    "    ('tf', TfidfTransformer()),\n",
    "    ('rf', RandomForestClassifier())\n",
    "])\n",
    "\n",
    "params_rf_tf={\n",
    "    'rf__n_estimators' : [25, 50],\n",
    "    'rf__max_features' : [800, 1000],\n",
    "    'rf__max_depth' : [None] #2, 3, 4]\n",
    "}\n",
    "\n",
    "gs_rf_tf = GridSearchCV(pipe_rf_tf, \n",
    "                        param_grid=params_rf_tf, \n",
    "                        cv=5)\n",
    "\n",
    "\n",
    "gs_rf_tf.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7134328358208956\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'rf__max_depth': None, 'rf__max_features': 800, 'rf__n_estimators': 50}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(gs_rf_tf.best_score_)\n",
    "gs_rf_tf.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RF Training Score:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9965435978004713"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('RF Training Score:')\n",
    "gs_rf_tf.score(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RF Testing Score:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.7184311224489796"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('RF Testing Score:')\n",
    "gs_rf_tf.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1012,  474],\n",
       "       [ 417, 1233]], dtype=int64)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#make the confusion matrix\n",
    "rf_confusion = gs_rf_tf.fit(X_train, y_train)\n",
    "#set predictions variable\n",
    "predictions = rf_confusion.predict(X_test)\n",
    "#extracts each value\n",
    "tn, fp, fn, tp = confusion_matrix(y_test, predictions).ravel()\n",
    "confusion_matrix(y_test, predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7158801020408163\n"
     ]
    }
   ],
   "source": [
    "rf_accuracy = (tn + tp)/(tn + tp + fp + fn)\n",
    "print(rf_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Scores Summary!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression CV Testing Score:\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "lower not found",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-47-47b57d0037cd>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Logistic Regression CV Testing Score:'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mgs_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscore\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Logistic Regression CV Testing Score:'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mgs_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscore\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\utils\\metaestimators.py\u001b[0m in \u001b[0;36m<lambda>\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    114\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    115\u001b[0m         \u001b[1;31m# lambda, but not partial, allows help() to work with update_wrapper\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 116\u001b[1;33m         \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mlambda\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    117\u001b[0m         \u001b[1;31m# update the docstring of the returned function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    118\u001b[0m         \u001b[0mupdate_wrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\pipeline.py\u001b[0m in \u001b[0;36mscore\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    613\u001b[0m         \u001b[0mXt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mX\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    614\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtransform\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_iter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwith_final\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 615\u001b[1;33m             \u001b[0mXt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mXt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    616\u001b[0m         \u001b[0mscore_params\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    617\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0msample_weight\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py\u001b[0m in \u001b[0;36mtransform\u001b[1;34m(self, raw_documents)\u001b[0m\n\u001b[0;32m   1268\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1269\u001b[0m         \u001b[1;31m# use the same matrix-building strategy as fit_transform\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1270\u001b[1;33m         \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_count_vocab\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mraw_documents\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfixed_vocab\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1271\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbinary\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1272\u001b[0m             \u001b[0mX\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfill\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py\u001b[0m in \u001b[0;36m_count_vocab\u001b[1;34m(self, raw_documents, fixed_vocab)\u001b[0m\n\u001b[0;32m   1129\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mdoc\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mraw_documents\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1130\u001b[0m             \u001b[0mfeature_counter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1131\u001b[1;33m             \u001b[1;32mfor\u001b[0m \u001b[0mfeature\u001b[0m \u001b[1;32min\u001b[0m \u001b[0manalyze\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1132\u001b[0m                 \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1133\u001b[0m                     \u001b[0mfeature_idx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvocabulary\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mfeature\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py\u001b[0m in \u001b[0;36m_analyze\u001b[1;34m(doc, analyzer, tokenizer, ngrams, preprocessor, decoder, stop_words)\u001b[0m\n\u001b[0;32m    101\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    102\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpreprocessor\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 103\u001b[1;33m             \u001b[0mdoc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpreprocessor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    104\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mtokenizer\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    105\u001b[0m             \u001b[0mdoc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtokenizer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py\u001b[0m in \u001b[0;36m_preprocess\u001b[1;34m(doc, accent_function, lower)\u001b[0m\n\u001b[0;32m     66\u001b[0m     \"\"\"\n\u001b[0;32m     67\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mlower\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 68\u001b[1;33m         \u001b[0mdoc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdoc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     69\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0maccent_function\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     70\u001b[0m         \u001b[0mdoc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0maccent_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\scipy\\sparse\\base.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, attr)\u001b[0m\n\u001b[0;32m    689\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetnnz\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    690\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 691\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattr\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m\" not found\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    692\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    693\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtranspose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: lower not found"
     ]
    }
   ],
   "source": [
    "print('Logistic Regression CV Testing Score:')\n",
    "gs_model.score(X_train, y_train)\n",
    "print('Logistic Regression CV Testing Score:')\n",
    "gs_model.score(X_test, y_test)\n",
    "print()\n",
    "print(f'Logistic Regression TFIDF Training Score: {lr.score(X_train, y_train)}')\n",
    "print(f'Logistic Regression TFIDF Testing Score: {lr.score(X_test, y_test)}')\n",
    "print()\n",
    "print('Multinomial Train Score:', gs_mnm_tf.score(X_train, y_train))\n",
    "print('Multinomial Test Score:', gs_mnm_tf.score(X_test, y_test))\n",
    "print()\n",
    "print('RF Training Score:')\n",
    "gs_rf_tf.score(X_train, y_train)\n",
    "print('RF Testing Score:')\n",
    "gs_rf_tf.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attempt at Sentiment\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's come up with a list of positive and negative words we might observe.\n",
    "\n",
    "positive_words = ['goat', 'great', 'star', 'mvp', 'champion', 'ups', 'high', 'best']\n",
    "negative_words = ['bad', 'wack', 'slow','lost', 'crossed', 'shaqtin', 'temper'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-10-25T10:03:50.010475Z",
     "start_time": "2017-10-25T10:03:50.006364Z"
    }
   },
   "outputs": [],
   "source": [
    "def simple_sentiment(text):\n",
    "    \n",
    "    # Instantiate tokenizer.\n",
    "    tokenizer = RegexpTokenizer(r'\\w+') # splitting up words while getting rid of punctuation and line breaks\n",
    "    \n",
    "    # Tokenize text.\n",
    "    tokens = tokenizer.tokenize(combined.lower()) # force the text to be lower case\n",
    "    \n",
    "    # Instantiate stemmer.\n",
    "    p_stemmer = PorterStemmer()\n",
    "    \n",
    "    # Stem words.\n",
    "    stemmed_words = [p_stemmer.stem(i) for i in tokens]\n",
    "    \n",
    "    # Stem our positive/negative words.\n",
    "    positive_stems = [p_stemmer.stem(i) for i in set(positive_words)]\n",
    "    negative_stems = [p_stemmer.stem(i) for i in set(negative_words)]\n",
    "   \n",
    "    # Count \"positive\" words.\n",
    "    positive_count = len([i for i in stemmed_words if i in positive_stems])\n",
    "\n",
    "    # Count \"negative\" words\n",
    "    negative_count = len([i for i in stemmed_words if i in negative_stems])\n",
    "   \n",
    "    # Calculate Sentiment Percentage \n",
    "    # (Positive Count - Negative Count) / (Total Count)\n",
    "    return round((positive_count - negative_count) / len(stemmed_words), 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Michael Jordan hits his head on the backboard on a block'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined['title'][0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'lower'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-68-a90cfa105c71>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Run our sentiment analyzer on our spam email.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0msimple_sentiment\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'title'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-50-29da16bf36ff>\u001b[0m in \u001b[0;36msimple_sentiment\u001b[1;34m(text)\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m     \u001b[1;31m# Tokenize text.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m     \u001b[0mtokens\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtokenizer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtokenize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# force the text to be lower case\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m     \u001b[1;31m# Instantiate stemmer.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m   5272\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5273\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5274\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5275\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5276\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'lower'"
     ]
    }
   ],
   "source": [
    "# Run our sentiment analyzer -- could not see sentiment all the way through\n",
    "simple_sentiment(combined['title'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}