ufc_jp.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's import the Dataset and aggregate the data \n",
    "List of all UFC fights since 2013 with summed up entries of each fighter's round by round record preceding that fight. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data_ufc.csv')\n",
    "cols_B =[]\n",
    "for i in df.columns.tolist():\n",
    "    if i[0:3]=='B__':\n",
    "        cols_B.append(i[9:])\n",
    "        \n",
    "x = np.array(cols_B)\n",
    "cols_B = np.unique(x).tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's aggregate the stats of the fighters by fight : This means adding stats from round 1 to 5 (fill 0 if value=\n",
    "NaN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"\n",
      "/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "agg_B= df[['B_Name',\n",
    " 'B_ID',\n",
    " 'B_Weight']]\n",
    "for i in cols_B:\n",
    "    agg_B['B_'+i[1:]] = 0\n",
    "    for j  in range (1,6):\n",
    "        agg_B['B_'+i[1:]] = agg_B['B_'+i[1:]] + df['B__Round'+str(j)+i].fillna(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check to see where the values are = 0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a18fd8f28>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(agg_B.mask(agg_B==0).isnull(),cmap='viridis',cbar=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_R =[]\n",
    "for i in df.columns.tolist():\n",
    "    if i[0:3]=='R__':\n",
    "        cols_R.append(i[9:])\n",
    "        \n",
    "x = np.array(cols_R)\n",
    "cols_R = np.unique(x).tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"\n",
      "/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "agg_R= df[['R_Name',\n",
    " 'R_ID',\n",
    " 'R_Weight']]\n",
    "for i in cols_R:\n",
    "    agg_R['R_'+i[1:]] = 0\n",
    "    for j  in range (1,6):\n",
    "        agg_R['R_'+i[1:]] = agg_R['R_'+i[1:]] + df['R__Round'+str(j)+i].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a33bc2898>"
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(agg_R.mask(agg_R==0).isnull(),cmap='viridis',cbar=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's start to aggregate into the same table\n",
    "\n",
    "First we group by the fighter ID "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "agg_B =agg_B.groupby('B_ID').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "agg_R =agg_R.groupby('R_ID').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "agg= pd.merge(agg_R,agg_B,how='inner', left_index=True, right_index=True)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.DataFrame()\n",
    "for i in agg.columns.tolist():\n",
    "    if i[0] =='R':\n",
    "        result[i[2:]] = (agg[i] +agg['B_'+i[2:]])/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = result.drop('Weight',axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We actually have a resulting dataframe with fighters ID and their mean stats across all their fights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Now let's apply PCA \n",
    "\n",
    "But first we need to delete the highly correlated features. If two features have a correlation higher tha 0.9 we drop them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "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>Grappling_Reversals_Landed</th>\n",
       "      <th>Grappling_Standups_Landed</th>\n",
       "      <th>Grappling_Submissions_Attempts</th>\n",
       "      <th>Grappling_Takedowns_Attempts</th>\n",
       "      <th>Grappling_Takedowns_Landed</th>\n",
       "      <th>Strikes_Body Significant Strikes_Attempts</th>\n",
       "      <th>Strikes_Body Significant Strikes_Landed</th>\n",
       "      <th>Strikes_Body Total Strikes_Attempts</th>\n",
       "      <th>Strikes_Body Total Strikes_Landed</th>\n",
       "      <th>Strikes_Clinch Body Strikes_Attempts</th>\n",
       "      <th>...</th>\n",
       "      <th>TIP_Distance Time</th>\n",
       "      <th>TIP_Ground Control Time</th>\n",
       "      <th>TIP_Ground Time</th>\n",
       "      <th>TIP_Guard Control Time</th>\n",
       "      <th>TIP_Half Guard Control Time</th>\n",
       "      <th>TIP_Misc. Ground Control Time</th>\n",
       "      <th>TIP_Mount Control Time</th>\n",
       "      <th>TIP_Neutral Time</th>\n",
       "      <th>TIP_Side Control Time</th>\n",
       "      <th>TIP_Standing Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Grappling_Reversals_Landed</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.298254</td>\n",
       "      <td>0.268642</td>\n",
       "      <td>0.133763</td>\n",
       "      <td>0.137762</td>\n",
       "      <td>0.148302</td>\n",
       "      <td>0.139872</td>\n",
       "      <td>0.176607</td>\n",
       "      <td>0.170617</td>\n",
       "      <td>0.177645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.049591</td>\n",
       "      <td>0.153729</td>\n",
       "      <td>0.255642</td>\n",
       "      <td>0.080645</td>\n",
       "      <td>0.072565</td>\n",
       "      <td>0.038128</td>\n",
       "      <td>0.113101</td>\n",
       "      <td>0.059805</td>\n",
       "      <td>0.181353</td>\n",
       "      <td>0.073268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grappling_Standups_Landed</th>\n",
       "      <td>0.298254</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.324716</td>\n",
       "      <td>0.252738</td>\n",
       "      <td>0.221109</td>\n",
       "      <td>0.476951</td>\n",
       "      <td>0.472117</td>\n",
       "      <td>0.482944</td>\n",
       "      <td>0.462675</td>\n",
       "      <td>0.387622</td>\n",
       "      <td>...</td>\n",
       "      <td>0.415372</td>\n",
       "      <td>0.204295</td>\n",
       "      <td>0.434215</td>\n",
       "      <td>0.073983</td>\n",
       "      <td>0.125588</td>\n",
       "      <td>0.086311</td>\n",
       "      <td>0.150599</td>\n",
       "      <td>0.422128</td>\n",
       "      <td>0.166167</td>\n",
       "      <td>0.477618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grappling_Submissions_Attempts</th>\n",
       "      <td>0.268642</td>\n",
       "      <td>0.324716</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.376277</td>\n",
       "      <td>0.375181</td>\n",
       "      <td>0.274938</td>\n",
       "      <td>0.287458</td>\n",
       "      <td>0.316643</td>\n",
       "      <td>0.323188</td>\n",
       "      <td>0.260720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.211611</td>\n",
       "      <td>0.408419</td>\n",
       "      <td>0.476974</td>\n",
       "      <td>0.117231</td>\n",
       "      <td>0.320765</td>\n",
       "      <td>0.169711</td>\n",
       "      <td>0.289659</td>\n",
       "      <td>0.226148</td>\n",
       "      <td>0.248345</td>\n",
       "      <td>0.252777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grappling_Takedowns_Attempts</th>\n",
       "      <td>0.133763</td>\n",
       "      <td>0.252738</td>\n",
       "      <td>0.376277</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.914703</td>\n",
       "      <td>0.343912</td>\n",
       "      <td>0.353839</td>\n",
       "      <td>0.523551</td>\n",
       "      <td>0.557610</td>\n",
       "      <td>0.366931</td>\n",
       "      <td>...</td>\n",
       "      <td>0.362835</td>\n",
       "      <td>0.614315</td>\n",
       "      <td>0.564480</td>\n",
       "      <td>0.349073</td>\n",
       "      <td>0.534538</td>\n",
       "      <td>0.271881</td>\n",
       "      <td>0.364750</td>\n",
       "      <td>0.383390</td>\n",
       "      <td>0.347564</td>\n",
       "      <td>0.462365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grappling_Takedowns_Landed</th>\n",
       "      <td>0.137762</td>\n",
       "      <td>0.221109</td>\n",
       "      <td>0.375181</td>\n",
       "      <td>0.914703</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.318626</td>\n",
       "      <td>0.336630</td>\n",
       "      <td>0.499897</td>\n",
       "      <td>0.541260</td>\n",
       "      <td>0.331548</td>\n",
       "      <td>...</td>\n",
       "      <td>0.305029</td>\n",
       "      <td>0.654107</td>\n",
       "      <td>0.577488</td>\n",
       "      <td>0.367354</td>\n",
       "      <td>0.564787</td>\n",
       "      <td>0.330372</td>\n",
       "      <td>0.399862</td>\n",
       "      <td>0.322825</td>\n",
       "      <td>0.357171</td>\n",
       "      <td>0.390521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Body Significant Strikes_Attempts</th>\n",
       "      <td>0.148302</td>\n",
       "      <td>0.476951</td>\n",
       "      <td>0.274938</td>\n",
       "      <td>0.343912</td>\n",
       "      <td>0.318626</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.977117</td>\n",
       "      <td>0.905656</td>\n",
       "      <td>0.827588</td>\n",
       "      <td>0.684967</td>\n",
       "      <td>...</td>\n",
       "      <td>0.709877</td>\n",
       "      <td>0.252321</td>\n",
       "      <td>0.343080</td>\n",
       "      <td>0.147631</td>\n",
       "      <td>0.222529</td>\n",
       "      <td>0.146635</td>\n",
       "      <td>0.126734</td>\n",
       "      <td>0.720260</td>\n",
       "      <td>0.146073</td>\n",
       "      <td>0.750757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Body Significant Strikes_Landed</th>\n",
       "      <td>0.139872</td>\n",
       "      <td>0.472117</td>\n",
       "      <td>0.287458</td>\n",
       "      <td>0.353839</td>\n",
       "      <td>0.336630</td>\n",
       "      <td>0.977117</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.898526</td>\n",
       "      <td>0.854127</td>\n",
       "      <td>0.746596</td>\n",
       "      <td>...</td>\n",
       "      <td>0.683110</td>\n",
       "      <td>0.275364</td>\n",
       "      <td>0.356025</td>\n",
       "      <td>0.148410</td>\n",
       "      <td>0.258525</td>\n",
       "      <td>0.171803</td>\n",
       "      <td>0.140352</td>\n",
       "      <td>0.696784</td>\n",
       "      <td>0.155971</td>\n",
       "      <td>0.736033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Body Total Strikes_Attempts</th>\n",
       "      <td>0.176607</td>\n",
       "      <td>0.482944</td>\n",
       "      <td>0.316643</td>\n",
       "      <td>0.523551</td>\n",
       "      <td>0.499897</td>\n",
       "      <td>0.905656</td>\n",
       "      <td>0.898526</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.980563</td>\n",
       "      <td>0.719796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.634458</td>\n",
       "      <td>0.426543</td>\n",
       "      <td>0.481279</td>\n",
       "      <td>0.267644</td>\n",
       "      <td>0.397659</td>\n",
       "      <td>0.200565</td>\n",
       "      <td>0.219897</td>\n",
       "      <td>0.651857</td>\n",
       "      <td>0.245774</td>\n",
       "      <td>0.704844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Body Total Strikes_Landed</th>\n",
       "      <td>0.170617</td>\n",
       "      <td>0.462675</td>\n",
       "      <td>0.323188</td>\n",
       "      <td>0.557610</td>\n",
       "      <td>0.541260</td>\n",
       "      <td>0.827588</td>\n",
       "      <td>0.854127</td>\n",
       "      <td>0.980563</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.737570</td>\n",
       "      <td>...</td>\n",
       "      <td>0.571441</td>\n",
       "      <td>0.473165</td>\n",
       "      <td>0.509398</td>\n",
       "      <td>0.291471</td>\n",
       "      <td>0.454397</td>\n",
       "      <td>0.223368</td>\n",
       "      <td>0.246257</td>\n",
       "      <td>0.592009</td>\n",
       "      <td>0.269996</td>\n",
       "      <td>0.654406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Body Strikes_Attempts</th>\n",
       "      <td>0.177645</td>\n",
       "      <td>0.387622</td>\n",
       "      <td>0.260720</td>\n",
       "      <td>0.366931</td>\n",
       "      <td>0.331548</td>\n",
       "      <td>0.684967</td>\n",
       "      <td>0.746596</td>\n",
       "      <td>0.719796</td>\n",
       "      <td>0.737570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.377697</td>\n",
       "      <td>0.252253</td>\n",
       "      <td>0.304633</td>\n",
       "      <td>0.129024</td>\n",
       "      <td>0.251204</td>\n",
       "      <td>0.149590</td>\n",
       "      <td>0.140503</td>\n",
       "      <td>0.404633</td>\n",
       "      <td>0.082717</td>\n",
       "      <td>0.476995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Body Strikes_Landed</th>\n",
       "      <td>0.165431</td>\n",
       "      <td>0.386349</td>\n",
       "      <td>0.252464</td>\n",
       "      <td>0.345380</td>\n",
       "      <td>0.316318</td>\n",
       "      <td>0.682041</td>\n",
       "      <td>0.751275</td>\n",
       "      <td>0.712128</td>\n",
       "      <td>0.733991</td>\n",
       "      <td>0.991684</td>\n",
       "      <td>...</td>\n",
       "      <td>0.382801</td>\n",
       "      <td>0.240968</td>\n",
       "      <td>0.296073</td>\n",
       "      <td>0.120196</td>\n",
       "      <td>0.239199</td>\n",
       "      <td>0.144190</td>\n",
       "      <td>0.136932</td>\n",
       "      <td>0.409270</td>\n",
       "      <td>0.077964</td>\n",
       "      <td>0.477674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Head Strikes_Attempts</th>\n",
       "      <td>0.126506</td>\n",
       "      <td>0.395188</td>\n",
       "      <td>0.177034</td>\n",
       "      <td>0.327024</td>\n",
       "      <td>0.311087</td>\n",
       "      <td>0.630508</td>\n",
       "      <td>0.659307</td>\n",
       "      <td>0.633951</td>\n",
       "      <td>0.625341</td>\n",
       "      <td>0.679903</td>\n",
       "      <td>...</td>\n",
       "      <td>0.503127</td>\n",
       "      <td>0.208818</td>\n",
       "      <td>0.266821</td>\n",
       "      <td>0.107664</td>\n",
       "      <td>0.214595</td>\n",
       "      <td>0.177678</td>\n",
       "      <td>0.102236</td>\n",
       "      <td>0.528257</td>\n",
       "      <td>0.117167</td>\n",
       "      <td>0.582357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Head Strikes_Landed</th>\n",
       "      <td>0.118890</td>\n",
       "      <td>0.380305</td>\n",
       "      <td>0.159991</td>\n",
       "      <td>0.287492</td>\n",
       "      <td>0.282659</td>\n",
       "      <td>0.587816</td>\n",
       "      <td>0.628102</td>\n",
       "      <td>0.592702</td>\n",
       "      <td>0.593937</td>\n",
       "      <td>0.658993</td>\n",
       "      <td>...</td>\n",
       "      <td>0.461809</td>\n",
       "      <td>0.195021</td>\n",
       "      <td>0.246611</td>\n",
       "      <td>0.086366</td>\n",
       "      <td>0.203679</td>\n",
       "      <td>0.195696</td>\n",
       "      <td>0.096330</td>\n",
       "      <td>0.487083</td>\n",
       "      <td>0.110534</td>\n",
       "      <td>0.548764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Leg Strikes_Attempts</th>\n",
       "      <td>0.053279</td>\n",
       "      <td>0.159171</td>\n",
       "      <td>0.087419</td>\n",
       "      <td>0.418479</td>\n",
       "      <td>0.337192</td>\n",
       "      <td>0.264773</td>\n",
       "      <td>0.289634</td>\n",
       "      <td>0.357530</td>\n",
       "      <td>0.383599</td>\n",
       "      <td>0.380886</td>\n",
       "      <td>...</td>\n",
       "      <td>0.246871</td>\n",
       "      <td>0.214726</td>\n",
       "      <td>0.227962</td>\n",
       "      <td>0.129928</td>\n",
       "      <td>0.171100</td>\n",
       "      <td>0.077756</td>\n",
       "      <td>0.143030</td>\n",
       "      <td>0.253589</td>\n",
       "      <td>0.095864</td>\n",
       "      <td>0.293375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Leg Strikes_Landed</th>\n",
       "      <td>0.058969</td>\n",
       "      <td>0.152569</td>\n",
       "      <td>0.082432</td>\n",
       "      <td>0.416013</td>\n",
       "      <td>0.331803</td>\n",
       "      <td>0.250153</td>\n",
       "      <td>0.273658</td>\n",
       "      <td>0.343508</td>\n",
       "      <td>0.369433</td>\n",
       "      <td>0.361152</td>\n",
       "      <td>...</td>\n",
       "      <td>0.242116</td>\n",
       "      <td>0.205392</td>\n",
       "      <td>0.220318</td>\n",
       "      <td>0.128161</td>\n",
       "      <td>0.158696</td>\n",
       "      <td>0.072970</td>\n",
       "      <td>0.136814</td>\n",
       "      <td>0.249861</td>\n",
       "      <td>0.090986</td>\n",
       "      <td>0.285735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Kicks_Attempts</th>\n",
       "      <td>0.012572</td>\n",
       "      <td>0.220205</td>\n",
       "      <td>0.172680</td>\n",
       "      <td>0.331099</td>\n",
       "      <td>0.311556</td>\n",
       "      <td>0.327901</td>\n",
       "      <td>0.351693</td>\n",
       "      <td>0.387729</td>\n",
       "      <td>0.404974</td>\n",
       "      <td>0.411463</td>\n",
       "      <td>...</td>\n",
       "      <td>0.322642</td>\n",
       "      <td>0.276894</td>\n",
       "      <td>0.264381</td>\n",
       "      <td>0.140445</td>\n",
       "      <td>0.236308</td>\n",
       "      <td>0.290974</td>\n",
       "      <td>0.114360</td>\n",
       "      <td>0.343402</td>\n",
       "      <td>0.123558</td>\n",
       "      <td>0.386026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Kicks_Landed</th>\n",
       "      <td>0.011980</td>\n",
       "      <td>0.208396</td>\n",
       "      <td>0.163063</td>\n",
       "      <td>0.324724</td>\n",
       "      <td>0.309126</td>\n",
       "      <td>0.320684</td>\n",
       "      <td>0.343792</td>\n",
       "      <td>0.375329</td>\n",
       "      <td>0.391311</td>\n",
       "      <td>0.396673</td>\n",
       "      <td>...</td>\n",
       "      <td>0.311621</td>\n",
       "      <td>0.263986</td>\n",
       "      <td>0.253613</td>\n",
       "      <td>0.133836</td>\n",
       "      <td>0.223541</td>\n",
       "      <td>0.266648</td>\n",
       "      <td>0.117305</td>\n",
       "      <td>0.332183</td>\n",
       "      <td>0.124880</td>\n",
       "      <td>0.375586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Punches_Attempts</th>\n",
       "      <td>0.008440</td>\n",
       "      <td>0.243183</td>\n",
       "      <td>0.076133</td>\n",
       "      <td>0.273955</td>\n",
       "      <td>0.258806</td>\n",
       "      <td>0.343117</td>\n",
       "      <td>0.357303</td>\n",
       "      <td>0.370634</td>\n",
       "      <td>0.371820</td>\n",
       "      <td>0.322714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.373998</td>\n",
       "      <td>0.210151</td>\n",
       "      <td>0.195861</td>\n",
       "      <td>0.122616</td>\n",
       "      <td>0.251175</td>\n",
       "      <td>0.207673</td>\n",
       "      <td>0.059817</td>\n",
       "      <td>0.398133</td>\n",
       "      <td>0.128775</td>\n",
       "      <td>0.409426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Punches_Landed</th>\n",
       "      <td>0.017087</td>\n",
       "      <td>0.204320</td>\n",
       "      <td>0.050464</td>\n",
       "      <td>0.241836</td>\n",
       "      <td>0.234521</td>\n",
       "      <td>0.321585</td>\n",
       "      <td>0.338626</td>\n",
       "      <td>0.339509</td>\n",
       "      <td>0.340526</td>\n",
       "      <td>0.308828</td>\n",
       "      <td>...</td>\n",
       "      <td>0.345286</td>\n",
       "      <td>0.183418</td>\n",
       "      <td>0.162480</td>\n",
       "      <td>0.106083</td>\n",
       "      <td>0.209445</td>\n",
       "      <td>0.197428</td>\n",
       "      <td>0.054185</td>\n",
       "      <td>0.369387</td>\n",
       "      <td>0.133235</td>\n",
       "      <td>0.378371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Strikes_Attempts</th>\n",
       "      <td>0.153785</td>\n",
       "      <td>0.424784</td>\n",
       "      <td>0.232274</td>\n",
       "      <td>0.420916</td>\n",
       "      <td>0.385415</td>\n",
       "      <td>0.701420</td>\n",
       "      <td>0.745970</td>\n",
       "      <td>0.732014</td>\n",
       "      <td>0.736846</td>\n",
       "      <td>0.859993</td>\n",
       "      <td>...</td>\n",
       "      <td>0.481033</td>\n",
       "      <td>0.265943</td>\n",
       "      <td>0.322320</td>\n",
       "      <td>0.140252</td>\n",
       "      <td>0.258006</td>\n",
       "      <td>0.187347</td>\n",
       "      <td>0.141683</td>\n",
       "      <td>0.508023</td>\n",
       "      <td>0.126902</td>\n",
       "      <td>0.591309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Significant Strikes_Landed</th>\n",
       "      <td>0.152969</td>\n",
       "      <td>0.417402</td>\n",
       "      <td>0.227297</td>\n",
       "      <td>0.411919</td>\n",
       "      <td>0.379317</td>\n",
       "      <td>0.682886</td>\n",
       "      <td>0.740441</td>\n",
       "      <td>0.720917</td>\n",
       "      <td>0.736904</td>\n",
       "      <td>0.878356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.459159</td>\n",
       "      <td>0.264777</td>\n",
       "      <td>0.318936</td>\n",
       "      <td>0.132074</td>\n",
       "      <td>0.255595</td>\n",
       "      <td>0.193037</td>\n",
       "      <td>0.145539</td>\n",
       "      <td>0.486490</td>\n",
       "      <td>0.121260</td>\n",
       "      <td>0.571851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Total Strikes_Attempts</th>\n",
       "      <td>0.173265</td>\n",
       "      <td>0.418922</td>\n",
       "      <td>0.203978</td>\n",
       "      <td>0.451161</td>\n",
       "      <td>0.406614</td>\n",
       "      <td>0.640774</td>\n",
       "      <td>0.679690</td>\n",
       "      <td>0.732316</td>\n",
       "      <td>0.749682</td>\n",
       "      <td>0.813982</td>\n",
       "      <td>...</td>\n",
       "      <td>0.465569</td>\n",
       "      <td>0.292095</td>\n",
       "      <td>0.334112</td>\n",
       "      <td>0.162300</td>\n",
       "      <td>0.279439</td>\n",
       "      <td>0.175973</td>\n",
       "      <td>0.160818</td>\n",
       "      <td>0.492116</td>\n",
       "      <td>0.146629</td>\n",
       "      <td>0.576818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Clinch Total Strikes_Landed</th>\n",
       "      <td>0.171196</td>\n",
       "      <td>0.412019</td>\n",
       "      <td>0.195605</td>\n",
       "      <td>0.442771</td>\n",
       "      <td>0.399943</td>\n",
       "      <td>0.615167</td>\n",
       "      <td>0.660242</td>\n",
       "      <td>0.719162</td>\n",
       "      <td>0.744777</td>\n",
       "      <td>0.805346</td>\n",
       "      <td>...</td>\n",
       "      <td>0.443161</td>\n",
       "      <td>0.294161</td>\n",
       "      <td>0.332942</td>\n",
       "      <td>0.162346</td>\n",
       "      <td>0.280688</td>\n",
       "      <td>0.177275</td>\n",
       "      <td>0.163454</td>\n",
       "      <td>0.469644</td>\n",
       "      <td>0.148392</td>\n",
       "      <td>0.558212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Kicks_Attempts</th>\n",
       "      <td>-0.036558</td>\n",
       "      <td>0.185114</td>\n",
       "      <td>0.143596</td>\n",
       "      <td>0.185386</td>\n",
       "      <td>0.149923</td>\n",
       "      <td>0.486684</td>\n",
       "      <td>0.463141</td>\n",
       "      <td>0.420220</td>\n",
       "      <td>0.369967</td>\n",
       "      <td>0.261818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.450590</td>\n",
       "      <td>0.132223</td>\n",
       "      <td>0.151007</td>\n",
       "      <td>0.047652</td>\n",
       "      <td>0.151361</td>\n",
       "      <td>0.149037</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.465968</td>\n",
       "      <td>0.059165</td>\n",
       "      <td>0.458130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Kicks_Landed</th>\n",
       "      <td>-0.029852</td>\n",
       "      <td>0.186344</td>\n",
       "      <td>0.155909</td>\n",
       "      <td>0.166607</td>\n",
       "      <td>0.141143</td>\n",
       "      <td>0.484852</td>\n",
       "      <td>0.476426</td>\n",
       "      <td>0.411261</td>\n",
       "      <td>0.368662</td>\n",
       "      <td>0.262768</td>\n",
       "      <td>...</td>\n",
       "      <td>0.452655</td>\n",
       "      <td>0.123875</td>\n",
       "      <td>0.142590</td>\n",
       "      <td>0.039970</td>\n",
       "      <td>0.141650</td>\n",
       "      <td>0.142789</td>\n",
       "      <td>0.041107</td>\n",
       "      <td>0.468273</td>\n",
       "      <td>0.055873</td>\n",
       "      <td>0.456740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Punches_Attempts</th>\n",
       "      <td>-0.002179</td>\n",
       "      <td>0.130135</td>\n",
       "      <td>0.063573</td>\n",
       "      <td>0.120757</td>\n",
       "      <td>0.082946</td>\n",
       "      <td>0.476531</td>\n",
       "      <td>0.441575</td>\n",
       "      <td>0.403769</td>\n",
       "      <td>0.345684</td>\n",
       "      <td>0.165633</td>\n",
       "      <td>...</td>\n",
       "      <td>0.361040</td>\n",
       "      <td>0.091629</td>\n",
       "      <td>0.103487</td>\n",
       "      <td>0.132864</td>\n",
       "      <td>0.062856</td>\n",
       "      <td>0.064354</td>\n",
       "      <td>0.001694</td>\n",
       "      <td>0.369493</td>\n",
       "      <td>0.008063</td>\n",
       "      <td>0.365077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Punches_Landed</th>\n",
       "      <td>0.006450</td>\n",
       "      <td>0.139582</td>\n",
       "      <td>0.056340</td>\n",
       "      <td>0.109097</td>\n",
       "      <td>0.071995</td>\n",
       "      <td>0.482621</td>\n",
       "      <td>0.453335</td>\n",
       "      <td>0.407516</td>\n",
       "      <td>0.352250</td>\n",
       "      <td>0.173292</td>\n",
       "      <td>...</td>\n",
       "      <td>0.363576</td>\n",
       "      <td>0.091463</td>\n",
       "      <td>0.107753</td>\n",
       "      <td>0.141771</td>\n",
       "      <td>0.059487</td>\n",
       "      <td>0.064894</td>\n",
       "      <td>-0.002942</td>\n",
       "      <td>0.372436</td>\n",
       "      <td>0.015661</td>\n",
       "      <td>0.372341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Strikes_Attempts</th>\n",
       "      <td>0.103933</td>\n",
       "      <td>0.415729</td>\n",
       "      <td>0.205902</td>\n",
       "      <td>0.223216</td>\n",
       "      <td>0.201172</td>\n",
       "      <td>0.936310</td>\n",
       "      <td>0.871669</td>\n",
       "      <td>0.782054</td>\n",
       "      <td>0.666354</td>\n",
       "      <td>0.413613</td>\n",
       "      <td>...</td>\n",
       "      <td>0.728536</td>\n",
       "      <td>0.157031</td>\n",
       "      <td>0.255248</td>\n",
       "      <td>0.106106</td>\n",
       "      <td>0.115283</td>\n",
       "      <td>0.088889</td>\n",
       "      <td>0.070739</td>\n",
       "      <td>0.728546</td>\n",
       "      <td>0.097029</td>\n",
       "      <td>0.727564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Body Strikes_Landed</th>\n",
       "      <td>0.091324</td>\n",
       "      <td>0.408388</td>\n",
       "      <td>0.208778</td>\n",
       "      <td>0.205818</td>\n",
       "      <td>0.191312</td>\n",
       "      <td>0.918816</td>\n",
       "      <td>0.894380</td>\n",
       "      <td>0.757876</td>\n",
       "      <td>0.666730</td>\n",
       "      <td>0.422852</td>\n",
       "      <td>...</td>\n",
       "      <td>0.725776</td>\n",
       "      <td>0.161021</td>\n",
       "      <td>0.253401</td>\n",
       "      <td>0.097959</td>\n",
       "      <td>0.128805</td>\n",
       "      <td>0.104065</td>\n",
       "      <td>0.070640</td>\n",
       "      <td>0.727048</td>\n",
       "      <td>0.102228</td>\n",
       "      <td>0.727569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Distance Head Kicks_Attempts</th>\n",
       "      <td>-0.022512</td>\n",
       "      <td>0.241233</td>\n",
       "      <td>0.135014</td>\n",
       "      <td>0.152875</td>\n",
       "      <td>0.132156</td>\n",
       "      <td>0.383438</td>\n",
       "      <td>0.364831</td>\n",
       "      <td>0.334504</td>\n",
       "      <td>0.296851</td>\n",
       "      <td>0.206023</td>\n",
       "      <td>...</td>\n",
       "      <td>0.398003</td>\n",
       "      <td>0.100827</td>\n",
       "      <td>0.147022</td>\n",
       "      <td>0.055201</td>\n",
       "      <td>0.089864</td>\n",
       "      <td>0.137461</td>\n",
       "      <td>0.023300</td>\n",
       "      <td>0.411881</td>\n",
       "      <td>0.028052</td>\n",
       "      <td>0.410434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Head Total Strikes_Attempts</th>\n",
       "      <td>0.175339</td>\n",
       "      <td>0.493011</td>\n",
       "      <td>0.330858</td>\n",
       "      <td>0.541107</td>\n",
       "      <td>0.506776</td>\n",
       "      <td>0.742590</td>\n",
       "      <td>0.734876</td>\n",
       "      <td>0.765312</td>\n",
       "      <td>0.735595</td>\n",
       "      <td>0.528815</td>\n",
       "      <td>...</td>\n",
       "      <td>0.775613</td>\n",
       "      <td>0.426472</td>\n",
       "      <td>0.489433</td>\n",
       "      <td>0.242827</td>\n",
       "      <td>0.381194</td>\n",
       "      <td>0.217041</td>\n",
       "      <td>0.244718</td>\n",
       "      <td>0.791085</td>\n",
       "      <td>0.224070</td>\n",
       "      <td>0.819283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Head Total Strikes_Landed</th>\n",
       "      <td>0.229514</td>\n",
       "      <td>0.488506</td>\n",
       "      <td>0.365153</td>\n",
       "      <td>0.593386</td>\n",
       "      <td>0.582821</td>\n",
       "      <td>0.663782</td>\n",
       "      <td>0.681495</td>\n",
       "      <td>0.751284</td>\n",
       "      <td>0.756321</td>\n",
       "      <td>0.546030</td>\n",
       "      <td>...</td>\n",
       "      <td>0.677261</td>\n",
       "      <td>0.521855</td>\n",
       "      <td>0.558080</td>\n",
       "      <td>0.283806</td>\n",
       "      <td>0.481910</td>\n",
       "      <td>0.266577</td>\n",
       "      <td>0.314066</td>\n",
       "      <td>0.694442</td>\n",
       "      <td>0.281825</td>\n",
       "      <td>0.738594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Kicks_Attempts</th>\n",
       "      <td>-0.012030</td>\n",
       "      <td>0.248904</td>\n",
       "      <td>0.160063</td>\n",
       "      <td>0.276252</td>\n",
       "      <td>0.240885</td>\n",
       "      <td>0.472146</td>\n",
       "      <td>0.464261</td>\n",
       "      <td>0.454358</td>\n",
       "      <td>0.427264</td>\n",
       "      <td>0.324880</td>\n",
       "      <td>...</td>\n",
       "      <td>0.487181</td>\n",
       "      <td>0.205099</td>\n",
       "      <td>0.232873</td>\n",
       "      <td>0.112555</td>\n",
       "      <td>0.190114</td>\n",
       "      <td>0.211894</td>\n",
       "      <td>0.073181</td>\n",
       "      <td>0.507465</td>\n",
       "      <td>0.091242</td>\n",
       "      <td>0.519903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Kicks_Landed</th>\n",
       "      <td>-0.007038</td>\n",
       "      <td>0.233469</td>\n",
       "      <td>0.155655</td>\n",
       "      <td>0.288125</td>\n",
       "      <td>0.256349</td>\n",
       "      <td>0.463697</td>\n",
       "      <td>0.466699</td>\n",
       "      <td>0.450724</td>\n",
       "      <td>0.431937</td>\n",
       "      <td>0.331371</td>\n",
       "      <td>...</td>\n",
       "      <td>0.484785</td>\n",
       "      <td>0.212437</td>\n",
       "      <td>0.232022</td>\n",
       "      <td>0.110133</td>\n",
       "      <td>0.195045</td>\n",
       "      <td>0.214031</td>\n",
       "      <td>0.086049</td>\n",
       "      <td>0.505437</td>\n",
       "      <td>0.102471</td>\n",
       "      <td>0.519941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Knock Down_Landed</th>\n",
       "      <td>0.022559</td>\n",
       "      <td>0.147433</td>\n",
       "      <td>0.064060</td>\n",
       "      <td>0.017524</td>\n",
       "      <td>0.004602</td>\n",
       "      <td>0.312636</td>\n",
       "      <td>0.301172</td>\n",
       "      <td>0.235006</td>\n",
       "      <td>0.196797</td>\n",
       "      <td>0.105167</td>\n",
       "      <td>...</td>\n",
       "      <td>0.395118</td>\n",
       "      <td>0.055962</td>\n",
       "      <td>0.080045</td>\n",
       "      <td>0.046824</td>\n",
       "      <td>0.069295</td>\n",
       "      <td>0.047174</td>\n",
       "      <td>0.014892</td>\n",
       "      <td>0.381221</td>\n",
       "      <td>0.002062</td>\n",
       "      <td>0.381031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Leg Total Strikes_Attempts</th>\n",
       "      <td>-0.030523</td>\n",
       "      <td>0.123738</td>\n",
       "      <td>0.061493</td>\n",
       "      <td>0.184416</td>\n",
       "      <td>0.151788</td>\n",
       "      <td>0.200504</td>\n",
       "      <td>0.188653</td>\n",
       "      <td>0.196381</td>\n",
       "      <td>0.181569</td>\n",
       "      <td>0.119817</td>\n",
       "      <td>...</td>\n",
       "      <td>0.267465</td>\n",
       "      <td>0.144829</td>\n",
       "      <td>0.148243</td>\n",
       "      <td>0.039294</td>\n",
       "      <td>0.183659</td>\n",
       "      <td>0.064226</td>\n",
       "      <td>0.121401</td>\n",
       "      <td>0.273619</td>\n",
       "      <td>0.035659</td>\n",
       "      <td>0.292480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Leg Total Strikes_Landed</th>\n",
       "      <td>-0.035639</td>\n",
       "      <td>0.114532</td>\n",
       "      <td>0.061795</td>\n",
       "      <td>0.190990</td>\n",
       "      <td>0.163823</td>\n",
       "      <td>0.208614</td>\n",
       "      <td>0.198422</td>\n",
       "      <td>0.205270</td>\n",
       "      <td>0.191371</td>\n",
       "      <td>0.127763</td>\n",
       "      <td>...</td>\n",
       "      <td>0.271033</td>\n",
       "      <td>0.154637</td>\n",
       "      <td>0.147517</td>\n",
       "      <td>0.043226</td>\n",
       "      <td>0.191935</td>\n",
       "      <td>0.072032</td>\n",
       "      <td>0.128280</td>\n",
       "      <td>0.278204</td>\n",
       "      <td>0.045694</td>\n",
       "      <td>0.297231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Legs Significant Strikes_Attempts</th>\n",
       "      <td>0.095068</td>\n",
       "      <td>0.359130</td>\n",
       "      <td>0.144031</td>\n",
       "      <td>0.321649</td>\n",
       "      <td>0.253497</td>\n",
       "      <td>0.654593</td>\n",
       "      <td>0.640450</td>\n",
       "      <td>0.601460</td>\n",
       "      <td>0.553906</td>\n",
       "      <td>0.416254</td>\n",
       "      <td>...</td>\n",
       "      <td>0.670038</td>\n",
       "      <td>0.192233</td>\n",
       "      <td>0.264358</td>\n",
       "      <td>0.109989</td>\n",
       "      <td>0.147860</td>\n",
       "      <td>0.096962</td>\n",
       "      <td>0.116341</td>\n",
       "      <td>0.684161</td>\n",
       "      <td>0.122026</td>\n",
       "      <td>0.705954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Legs Significant Strikes_Landed</th>\n",
       "      <td>0.087498</td>\n",
       "      <td>0.347628</td>\n",
       "      <td>0.139907</td>\n",
       "      <td>0.323664</td>\n",
       "      <td>0.260234</td>\n",
       "      <td>0.648640</td>\n",
       "      <td>0.641279</td>\n",
       "      <td>0.594948</td>\n",
       "      <td>0.551926</td>\n",
       "      <td>0.412424</td>\n",
       "      <td>...</td>\n",
       "      <td>0.675048</td>\n",
       "      <td>0.201069</td>\n",
       "      <td>0.265258</td>\n",
       "      <td>0.116492</td>\n",
       "      <td>0.157824</td>\n",
       "      <td>0.092591</td>\n",
       "      <td>0.122060</td>\n",
       "      <td>0.688554</td>\n",
       "      <td>0.133471</td>\n",
       "      <td>0.710463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Legs Total Strikes_Attempts</th>\n",
       "      <td>0.122037</td>\n",
       "      <td>0.359101</td>\n",
       "      <td>0.137559</td>\n",
       "      <td>0.379273</td>\n",
       "      <td>0.315506</td>\n",
       "      <td>0.650148</td>\n",
       "      <td>0.648645</td>\n",
       "      <td>0.634752</td>\n",
       "      <td>0.603076</td>\n",
       "      <td>0.490612</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631189</td>\n",
       "      <td>0.231525</td>\n",
       "      <td>0.288934</td>\n",
       "      <td>0.140148</td>\n",
       "      <td>0.181205</td>\n",
       "      <td>0.125122</td>\n",
       "      <td>0.128608</td>\n",
       "      <td>0.648726</td>\n",
       "      <td>0.146870</td>\n",
       "      <td>0.687598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Legs Total Strikes_Landed</th>\n",
       "      <td>0.115096</td>\n",
       "      <td>0.350867</td>\n",
       "      <td>0.134469</td>\n",
       "      <td>0.392742</td>\n",
       "      <td>0.333146</td>\n",
       "      <td>0.641754</td>\n",
       "      <td>0.647133</td>\n",
       "      <td>0.631371</td>\n",
       "      <td>0.605668</td>\n",
       "      <td>0.492473</td>\n",
       "      <td>...</td>\n",
       "      <td>0.632994</td>\n",
       "      <td>0.248783</td>\n",
       "      <td>0.298084</td>\n",
       "      <td>0.151225</td>\n",
       "      <td>0.200533</td>\n",
       "      <td>0.124943</td>\n",
       "      <td>0.139101</td>\n",
       "      <td>0.650219</td>\n",
       "      <td>0.159391</td>\n",
       "      <td>0.691640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Punches_Attempts</th>\n",
       "      <td>-0.014059</td>\n",
       "      <td>0.251454</td>\n",
       "      <td>0.167607</td>\n",
       "      <td>0.342854</td>\n",
       "      <td>0.312143</td>\n",
       "      <td>0.470681</td>\n",
       "      <td>0.473874</td>\n",
       "      <td>0.488646</td>\n",
       "      <td>0.477720</td>\n",
       "      <td>0.311451</td>\n",
       "      <td>...</td>\n",
       "      <td>0.535847</td>\n",
       "      <td>0.283238</td>\n",
       "      <td>0.296967</td>\n",
       "      <td>0.168657</td>\n",
       "      <td>0.313280</td>\n",
       "      <td>0.269687</td>\n",
       "      <td>0.093937</td>\n",
       "      <td>0.558026</td>\n",
       "      <td>0.142189</td>\n",
       "      <td>0.562169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Punches_Landed</th>\n",
       "      <td>-0.003923</td>\n",
       "      <td>0.239968</td>\n",
       "      <td>0.176094</td>\n",
       "      <td>0.338215</td>\n",
       "      <td>0.320423</td>\n",
       "      <td>0.452169</td>\n",
       "      <td>0.466974</td>\n",
       "      <td>0.492065</td>\n",
       "      <td>0.494555</td>\n",
       "      <td>0.318643</td>\n",
       "      <td>...</td>\n",
       "      <td>0.492868</td>\n",
       "      <td>0.310070</td>\n",
       "      <td>0.317586</td>\n",
       "      <td>0.183338</td>\n",
       "      <td>0.356674</td>\n",
       "      <td>0.300577</td>\n",
       "      <td>0.089806</td>\n",
       "      <td>0.516411</td>\n",
       "      <td>0.170514</td>\n",
       "      <td>0.523081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Significant Strikes_Attempts</th>\n",
       "      <td>0.141689</td>\n",
       "      <td>0.492490</td>\n",
       "      <td>0.284515</td>\n",
       "      <td>0.446792</td>\n",
       "      <td>0.404362</td>\n",
       "      <td>0.829466</td>\n",
       "      <td>0.812480</td>\n",
       "      <td>0.782498</td>\n",
       "      <td>0.726957</td>\n",
       "      <td>0.547173</td>\n",
       "      <td>...</td>\n",
       "      <td>0.820744</td>\n",
       "      <td>0.322282</td>\n",
       "      <td>0.405616</td>\n",
       "      <td>0.184939</td>\n",
       "      <td>0.282118</td>\n",
       "      <td>0.181694</td>\n",
       "      <td>0.176000</td>\n",
       "      <td>0.834345</td>\n",
       "      <td>0.167768</td>\n",
       "      <td>0.855530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Significant Strikes_Landed</th>\n",
       "      <td>0.163231</td>\n",
       "      <td>0.497245</td>\n",
       "      <td>0.291337</td>\n",
       "      <td>0.454311</td>\n",
       "      <td>0.428354</td>\n",
       "      <td>0.840844</td>\n",
       "      <td>0.851338</td>\n",
       "      <td>0.806122</td>\n",
       "      <td>0.770591</td>\n",
       "      <td>0.604780</td>\n",
       "      <td>...</td>\n",
       "      <td>0.797897</td>\n",
       "      <td>0.356190</td>\n",
       "      <td>0.424801</td>\n",
       "      <td>0.193118</td>\n",
       "      <td>0.327734</td>\n",
       "      <td>0.213922</td>\n",
       "      <td>0.199530</td>\n",
       "      <td>0.812939</td>\n",
       "      <td>0.188439</td>\n",
       "      <td>0.844528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Total Strikes_Attempts</th>\n",
       "      <td>0.179162</td>\n",
       "      <td>0.508740</td>\n",
       "      <td>0.328620</td>\n",
       "      <td>0.556990</td>\n",
       "      <td>0.518527</td>\n",
       "      <td>0.808722</td>\n",
       "      <td>0.801005</td>\n",
       "      <td>0.840865</td>\n",
       "      <td>0.810599</td>\n",
       "      <td>0.591028</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787868</td>\n",
       "      <td>0.434229</td>\n",
       "      <td>0.498900</td>\n",
       "      <td>0.251206</td>\n",
       "      <td>0.389668</td>\n",
       "      <td>0.218679</td>\n",
       "      <td>0.245492</td>\n",
       "      <td>0.804941</td>\n",
       "      <td>0.233437</td>\n",
       "      <td>0.840636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strikes_Total Strikes_Landed</th>\n",
       "      <td>0.214001</td>\n",
       "      <td>0.506439</td>\n",
       "      <td>0.350364</td>\n",
       "      <td>0.610549</td>\n",
       "      <td>0.588246</td>\n",
       "      <td>0.768802</td>\n",
       "      <td>0.787843</td>\n",
       "      <td>0.864172</td>\n",
       "      <td>0.867609</td>\n",
       "      <td>0.639200</td>\n",
       "      <td>...</td>\n",
       "      <td>0.713391</td>\n",
       "      <td>0.515800</td>\n",
       "      <td>0.557114</td>\n",
       "      <td>0.290242</td>\n",
       "      <td>0.477881</td>\n",
       "      <td>0.258156</td>\n",
       "      <td>0.300237</td>\n",
       "      <td>0.733248</td>\n",
       "      <td>0.284908</td>\n",
       "      <td>0.786261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Back Control Time</th>\n",
       "      <td>0.103898</td>\n",
       "      <td>0.207173</td>\n",
       "      <td>0.506473</td>\n",
       "      <td>0.417414</td>\n",
       "      <td>0.395396</td>\n",
       "      <td>0.176285</td>\n",
       "      <td>0.191438</td>\n",
       "      <td>0.260517</td>\n",
       "      <td>0.282016</td>\n",
       "      <td>0.197927</td>\n",
       "      <td>...</td>\n",
       "      <td>0.219380</td>\n",
       "      <td>0.466556</td>\n",
       "      <td>0.437708</td>\n",
       "      <td>0.114365</td>\n",
       "      <td>0.370694</td>\n",
       "      <td>0.131023</td>\n",
       "      <td>0.255174</td>\n",
       "      <td>0.234262</td>\n",
       "      <td>0.145276</td>\n",
       "      <td>0.276422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Clinch Time</th>\n",
       "      <td>0.102623</td>\n",
       "      <td>0.458860</td>\n",
       "      <td>0.230318</td>\n",
       "      <td>0.522855</td>\n",
       "      <td>0.449048</td>\n",
       "      <td>0.536755</td>\n",
       "      <td>0.570658</td>\n",
       "      <td>0.602294</td>\n",
       "      <td>0.616601</td>\n",
       "      <td>0.609509</td>\n",
       "      <td>...</td>\n",
       "      <td>0.527802</td>\n",
       "      <td>0.406711</td>\n",
       "      <td>0.490407</td>\n",
       "      <td>0.244797</td>\n",
       "      <td>0.373197</td>\n",
       "      <td>0.193632</td>\n",
       "      <td>0.212777</td>\n",
       "      <td>0.557315</td>\n",
       "      <td>0.206022</td>\n",
       "      <td>0.706438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Control Time</th>\n",
       "      <td>0.136386</td>\n",
       "      <td>0.278841</td>\n",
       "      <td>0.419899</td>\n",
       "      <td>0.743051</td>\n",
       "      <td>0.746413</td>\n",
       "      <td>0.346772</td>\n",
       "      <td>0.379716</td>\n",
       "      <td>0.532816</td>\n",
       "      <td>0.583971</td>\n",
       "      <td>0.388129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.400059</td>\n",
       "      <td>0.866617</td>\n",
       "      <td>0.759549</td>\n",
       "      <td>0.406810</td>\n",
       "      <td>0.687924</td>\n",
       "      <td>0.404361</td>\n",
       "      <td>0.673098</td>\n",
       "      <td>0.424969</td>\n",
       "      <td>0.435341</td>\n",
       "      <td>0.522020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Distance Time</th>\n",
       "      <td>0.049591</td>\n",
       "      <td>0.415372</td>\n",
       "      <td>0.211611</td>\n",
       "      <td>0.362835</td>\n",
       "      <td>0.305029</td>\n",
       "      <td>0.709877</td>\n",
       "      <td>0.683110</td>\n",
       "      <td>0.634458</td>\n",
       "      <td>0.571441</td>\n",
       "      <td>0.377697</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.343803</td>\n",
       "      <td>0.412748</td>\n",
       "      <td>0.202351</td>\n",
       "      <td>0.237043</td>\n",
       "      <td>0.184795</td>\n",
       "      <td>0.236086</td>\n",
       "      <td>0.987223</td>\n",
       "      <td>0.129149</td>\n",
       "      <td>0.943412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Ground Control Time</th>\n",
       "      <td>0.153729</td>\n",
       "      <td>0.204295</td>\n",
       "      <td>0.408419</td>\n",
       "      <td>0.614315</td>\n",
       "      <td>0.654107</td>\n",
       "      <td>0.252321</td>\n",
       "      <td>0.275364</td>\n",
       "      <td>0.426543</td>\n",
       "      <td>0.473165</td>\n",
       "      <td>0.252253</td>\n",
       "      <td>...</td>\n",
       "      <td>0.343803</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.826980</td>\n",
       "      <td>0.688632</td>\n",
       "      <td>0.670339</td>\n",
       "      <td>0.396202</td>\n",
       "      <td>0.700395</td>\n",
       "      <td>0.361777</td>\n",
       "      <td>0.434852</td>\n",
       "      <td>0.410486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Ground Time</th>\n",
       "      <td>0.255642</td>\n",
       "      <td>0.434215</td>\n",
       "      <td>0.476974</td>\n",
       "      <td>0.564480</td>\n",
       "      <td>0.577488</td>\n",
       "      <td>0.343080</td>\n",
       "      <td>0.356025</td>\n",
       "      <td>0.481279</td>\n",
       "      <td>0.509398</td>\n",
       "      <td>0.304633</td>\n",
       "      <td>...</td>\n",
       "      <td>0.412748</td>\n",
       "      <td>0.826980</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.545847</td>\n",
       "      <td>0.570221</td>\n",
       "      <td>0.298688</td>\n",
       "      <td>0.572740</td>\n",
       "      <td>0.428721</td>\n",
       "      <td>0.415976</td>\n",
       "      <td>0.489674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Guard Control Time</th>\n",
       "      <td>0.080645</td>\n",
       "      <td>0.073983</td>\n",
       "      <td>0.117231</td>\n",
       "      <td>0.349073</td>\n",
       "      <td>0.367354</td>\n",
       "      <td>0.147631</td>\n",
       "      <td>0.148410</td>\n",
       "      <td>0.267644</td>\n",
       "      <td>0.291471</td>\n",
       "      <td>0.129024</td>\n",
       "      <td>...</td>\n",
       "      <td>0.202351</td>\n",
       "      <td>0.688632</td>\n",
       "      <td>0.545847</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.323601</td>\n",
       "      <td>0.132016</td>\n",
       "      <td>0.186706</td>\n",
       "      <td>0.211890</td>\n",
       "      <td>0.155179</td>\n",
       "      <td>0.242285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Half Guard Control Time</th>\n",
       "      <td>0.072565</td>\n",
       "      <td>0.125588</td>\n",
       "      <td>0.320765</td>\n",
       "      <td>0.534538</td>\n",
       "      <td>0.564787</td>\n",
       "      <td>0.222529</td>\n",
       "      <td>0.258525</td>\n",
       "      <td>0.397659</td>\n",
       "      <td>0.454397</td>\n",
       "      <td>0.251204</td>\n",
       "      <td>...</td>\n",
       "      <td>0.237043</td>\n",
       "      <td>0.670339</td>\n",
       "      <td>0.570221</td>\n",
       "      <td>0.323601</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.252344</td>\n",
       "      <td>0.301287</td>\n",
       "      <td>0.256394</td>\n",
       "      <td>0.416966</td>\n",
       "      <td>0.302521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Misc. Ground Control Time</th>\n",
       "      <td>0.038128</td>\n",
       "      <td>0.086311</td>\n",
       "      <td>0.169711</td>\n",
       "      <td>0.271881</td>\n",
       "      <td>0.330372</td>\n",
       "      <td>0.146635</td>\n",
       "      <td>0.171803</td>\n",
       "      <td>0.200565</td>\n",
       "      <td>0.223368</td>\n",
       "      <td>0.149590</td>\n",
       "      <td>...</td>\n",
       "      <td>0.184795</td>\n",
       "      <td>0.396202</td>\n",
       "      <td>0.298688</td>\n",
       "      <td>0.132016</td>\n",
       "      <td>0.252344</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.103905</td>\n",
       "      <td>0.196057</td>\n",
       "      <td>0.144071</td>\n",
       "      <td>0.210461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Mount Control Time</th>\n",
       "      <td>0.113101</td>\n",
       "      <td>0.150599</td>\n",
       "      <td>0.289659</td>\n",
       "      <td>0.364750</td>\n",
       "      <td>0.399862</td>\n",
       "      <td>0.126734</td>\n",
       "      <td>0.140352</td>\n",
       "      <td>0.219897</td>\n",
       "      <td>0.246257</td>\n",
       "      <td>0.140503</td>\n",
       "      <td>...</td>\n",
       "      <td>0.236086</td>\n",
       "      <td>0.700395</td>\n",
       "      <td>0.572740</td>\n",
       "      <td>0.186706</td>\n",
       "      <td>0.301287</td>\n",
       "      <td>0.103905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.240815</td>\n",
       "      <td>0.199993</td>\n",
       "      <td>0.264750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Neutral Time</th>\n",
       "      <td>0.059805</td>\n",
       "      <td>0.422128</td>\n",
       "      <td>0.226148</td>\n",
       "      <td>0.383390</td>\n",
       "      <td>0.322825</td>\n",
       "      <td>0.720260</td>\n",
       "      <td>0.696784</td>\n",
       "      <td>0.651857</td>\n",
       "      <td>0.592009</td>\n",
       "      <td>0.404633</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987223</td>\n",
       "      <td>0.361777</td>\n",
       "      <td>0.428721</td>\n",
       "      <td>0.211890</td>\n",
       "      <td>0.256394</td>\n",
       "      <td>0.196057</td>\n",
       "      <td>0.240815</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.148291</td>\n",
       "      <td>0.960346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Side Control Time</th>\n",
       "      <td>0.181353</td>\n",
       "      <td>0.166167</td>\n",
       "      <td>0.248345</td>\n",
       "      <td>0.347564</td>\n",
       "      <td>0.357171</td>\n",
       "      <td>0.146073</td>\n",
       "      <td>0.155971</td>\n",
       "      <td>0.245774</td>\n",
       "      <td>0.269996</td>\n",
       "      <td>0.082717</td>\n",
       "      <td>...</td>\n",
       "      <td>0.129149</td>\n",
       "      <td>0.434852</td>\n",
       "      <td>0.415976</td>\n",
       "      <td>0.155179</td>\n",
       "      <td>0.416966</td>\n",
       "      <td>0.144071</td>\n",
       "      <td>0.199993</td>\n",
       "      <td>0.148291</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.175963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIP_Standing Time</th>\n",
       "      <td>0.073268</td>\n",
       "      <td>0.477618</td>\n",
       "      <td>0.252777</td>\n",
       "      <td>0.462365</td>\n",
       "      <td>0.390521</td>\n",
       "      <td>0.750757</td>\n",
       "      <td>0.736033</td>\n",
       "      <td>0.704844</td>\n",
       "      <td>0.654406</td>\n",
       "      <td>0.476995</td>\n",
       "      <td>...</td>\n",
       "      <td>0.943412</td>\n",
       "      <td>0.410486</td>\n",
       "      <td>0.489674</td>\n",
       "      <td>0.242285</td>\n",
       "      <td>0.302521</td>\n",
       "      <td>0.210461</td>\n",
       "      <td>0.264750</td>\n",
       "      <td>0.960346</td>\n",
       "      <td>0.175963</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>87 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Grappling_Reversals_Landed  \\\n",
       "Grappling_Reversals_Landed                                     1.000000   \n",
       "Grappling_Standups_Landed                                      0.298254   \n",
       "Grappling_Submissions_Attempts                                 0.268642   \n",
       "Grappling_Takedowns_Attempts                                   0.133763   \n",
       "Grappling_Takedowns_Landed                                     0.137762   \n",
       "Strikes_Body Significant Strikes_Attempts                      0.148302   \n",
       "Strikes_Body Significant Strikes_Landed                        0.139872   \n",
       "Strikes_Body Total Strikes_Attempts                            0.176607   \n",
       "Strikes_Body Total Strikes_Landed                              0.170617   \n",
       "Strikes_Clinch Body Strikes_Attempts                           0.177645   \n",
       "Strikes_Clinch Body Strikes_Landed                             0.165431   \n",
       "Strikes_Clinch Head Strikes_Attempts                           0.126506   \n",
       "Strikes_Clinch Head Strikes_Landed                             0.118890   \n",
       "Strikes_Clinch Leg Strikes_Attempts                            0.053279   \n",
       "Strikes_Clinch Leg Strikes_Landed                              0.058969   \n",
       "Strikes_Clinch Significant Kicks_Attempts                      0.012572   \n",
       "Strikes_Clinch Significant Kicks_Landed                        0.011980   \n",
       "Strikes_Clinch Significant Punches_Attempts                    0.008440   \n",
       "Strikes_Clinch Significant Punches_Landed                      0.017087   \n",
       "Strikes_Clinch Significant Strikes_Attempts                    0.153785   \n",
       "Strikes_Clinch Significant Strikes_Landed                      0.152969   \n",
       "Strikes_Clinch Total Strikes_Attempts                          0.173265   \n",
       "Strikes_Clinch Total Strikes_Landed                            0.171196   \n",
       "Strikes_Distance Body Kicks_Attempts                          -0.036558   \n",
       "Strikes_Distance Body Kicks_Landed                            -0.029852   \n",
       "Strikes_Distance Body Punches_Attempts                        -0.002179   \n",
       "Strikes_Distance Body Punches_Landed                           0.006450   \n",
       "Strikes_Distance Body Strikes_Attempts                         0.103933   \n",
       "Strikes_Distance Body Strikes_Landed                           0.091324   \n",
       "Strikes_Distance Head Kicks_Attempts                          -0.022512   \n",
       "...                                                                 ...   \n",
       "Strikes_Head Total Strikes_Attempts                            0.175339   \n",
       "Strikes_Head Total Strikes_Landed                              0.229514   \n",
       "Strikes_Kicks_Attempts                                        -0.012030   \n",
       "Strikes_Kicks_Landed                                          -0.007038   \n",
       "Strikes_Knock Down_Landed                                      0.022559   \n",
       "Strikes_Leg Total Strikes_Attempts                            -0.030523   \n",
       "Strikes_Leg Total Strikes_Landed                              -0.035639   \n",
       "Strikes_Legs Significant Strikes_Attempts                      0.095068   \n",
       "Strikes_Legs Significant Strikes_Landed                        0.087498   \n",
       "Strikes_Legs Total Strikes_Attempts                            0.122037   \n",
       "Strikes_Legs Total Strikes_Landed                              0.115096   \n",
       "Strikes_Punches_Attempts                                      -0.014059   \n",
       "Strikes_Punches_Landed                                        -0.003923   \n",
       "Strikes_Significant Strikes_Attempts                           0.141689   \n",
       "Strikes_Significant Strikes_Landed                             0.163231   \n",
       "Strikes_Total Strikes_Attempts                                 0.179162   \n",
       "Strikes_Total Strikes_Landed                                   0.214001   \n",
       "TIP_Back Control Time                                          0.103898   \n",
       "TIP_Clinch Time                                                0.102623   \n",
       "TIP_Control Time                                               0.136386   \n",
       "TIP_Distance Time                                              0.049591   \n",
       "TIP_Ground Control Time                                        0.153729   \n",
       "TIP_Ground Time                                                0.255642   \n",
       "TIP_Guard Control Time                                         0.080645   \n",
       "TIP_Half Guard Control Time                                    0.072565   \n",
       "TIP_Misc. Ground Control Time                                  0.038128   \n",
       "TIP_Mount Control Time                                         0.113101   \n",
       "TIP_Neutral Time                                               0.059805   \n",
       "TIP_Side Control Time                                          0.181353   \n",
       "TIP_Standing Time                                              0.073268   \n",
       "\n",
       "                                             Grappling_Standups_Landed  \\\n",
       "Grappling_Reversals_Landed                                    0.298254   \n",
       "Grappling_Standups_Landed                                     1.000000   \n",
       "Grappling_Submissions_Attempts                                0.324716   \n",
       "Grappling_Takedowns_Attempts                                  0.252738   \n",
       "Grappling_Takedowns_Landed                                    0.221109   \n",
       "Strikes_Body Significant Strikes_Attempts                     0.476951   \n",
       "Strikes_Body Significant Strikes_Landed                       0.472117   \n",
       "Strikes_Body Total Strikes_Attempts                           0.482944   \n",
       "Strikes_Body Total Strikes_Landed                             0.462675   \n",
       "Strikes_Clinch Body Strikes_Attempts                          0.387622   \n",
       "Strikes_Clinch Body Strikes_Landed                            0.386349   \n",
       "Strikes_Clinch Head Strikes_Attempts                          0.395188   \n",
       "Strikes_Clinch Head Strikes_Landed                            0.380305   \n",
       "Strikes_Clinch Leg Strikes_Attempts                           0.159171   \n",
       "Strikes_Clinch Leg Strikes_Landed                             0.152569   \n",
       "Strikes_Clinch Significant Kicks_Attempts                     0.220205   \n",
       "Strikes_Clinch Significant Kicks_Landed                       0.208396   \n",
       "Strikes_Clinch Significant Punches_Attempts                   0.243183   \n",
       "Strikes_Clinch Significant Punches_Landed                     0.204320   \n",
       "Strikes_Clinch Significant Strikes_Attempts                   0.424784   \n",
       "Strikes_Clinch Significant Strikes_Landed                     0.417402   \n",
       "Strikes_Clinch Total Strikes_Attempts                         0.418922   \n",
       "Strikes_Clinch Total Strikes_Landed                           0.412019   \n",
       "Strikes_Distance Body Kicks_Attempts                          0.185114   \n",
       "Strikes_Distance Body Kicks_Landed                            0.186344   \n",
       "Strikes_Distance Body Punches_Attempts                        0.130135   \n",
       "Strikes_Distance Body Punches_Landed                          0.139582   \n",
       "Strikes_Distance Body Strikes_Attempts                        0.415729   \n",
       "Strikes_Distance Body Strikes_Landed                          0.408388   \n",
       "Strikes_Distance Head Kicks_Attempts                          0.241233   \n",
       "...                                                                ...   \n",
       "Strikes_Head Total Strikes_Attempts                           0.493011   \n",
       "Strikes_Head Total Strikes_Landed                             0.488506   \n",
       "Strikes_Kicks_Attempts                                        0.248904   \n",
       "Strikes_Kicks_Landed                                          0.233469   \n",
       "Strikes_Knock Down_Landed                                     0.147433   \n",
       "Strikes_Leg Total Strikes_Attempts                            0.123738   \n",
       "Strikes_Leg Total Strikes_Landed                              0.114532   \n",
       "Strikes_Legs Significant Strikes_Attempts                     0.359130   \n",
       "Strikes_Legs Significant Strikes_Landed                       0.347628   \n",
       "Strikes_Legs Total Strikes_Attempts                           0.359101   \n",
       "Strikes_Legs Total Strikes_Landed                             0.350867   \n",
       "Strikes_Punches_Attempts                                      0.251454   \n",
       "Strikes_Punches_Landed                                        0.239968   \n",
       "Strikes_Significant Strikes_Attempts                          0.492490   \n",
       "Strikes_Significant Strikes_Landed                            0.497245   \n",
       "Strikes_Total Strikes_Attempts                                0.508740   \n",
       "Strikes_Total Strikes_Landed                                  0.506439   \n",
       "TIP_Back Control Time                                         0.207173   \n",
       "TIP_Clinch Time                                               0.458860   \n",
       "TIP_Control Time                                              0.278841   \n",
       "TIP_Distance Time                                             0.415372   \n",
       "TIP_Ground Control Time                                       0.204295   \n",
       "TIP_Ground Time                                               0.434215   \n",
       "TIP_Guard Control Time                                        0.073983   \n",
       "TIP_Half Guard Control Time                                   0.125588   \n",
       "TIP_Misc. Ground Control Time                                 0.086311   \n",
       "TIP_Mount Control Time                                        0.150599   \n",
       "TIP_Neutral Time                                              0.422128   \n",
       "TIP_Side Control Time                                         0.166167   \n",
       "TIP_Standing Time                                             0.477618   \n",
       "\n",
       "                                             Grappling_Submissions_Attempts  \\\n",
       "Grappling_Reversals_Landed                                         0.268642   \n",
       "Grappling_Standups_Landed                                          0.324716   \n",
       "Grappling_Submissions_Attempts                                     1.000000   \n",
       "Grappling_Takedowns_Attempts                                       0.376277   \n",
       "Grappling_Takedowns_Landed                                         0.375181   \n",
       "Strikes_Body Significant Strikes_Attempts                          0.274938   \n",
       "Strikes_Body Significant Strikes_Landed                            0.287458   \n",
       "Strikes_Body Total Strikes_Attempts                                0.316643   \n",
       "Strikes_Body Total Strikes_Landed                                  0.323188   \n",
       "Strikes_Clinch Body Strikes_Attempts                               0.260720   \n",
       "Strikes_Clinch Body Strikes_Landed                                 0.252464   \n",
       "Strikes_Clinch Head Strikes_Attempts                               0.177034   \n",
       "Strikes_Clinch Head Strikes_Landed                                 0.159991   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                0.087419   \n",
       "Strikes_Clinch Leg Strikes_Landed                                  0.082432   \n",
       "Strikes_Clinch Significant Kicks_Attempts                          0.172680   \n",
       "Strikes_Clinch Significant Kicks_Landed                            0.163063   \n",
       "Strikes_Clinch Significant Punches_Attempts                        0.076133   \n",
       "Strikes_Clinch Significant Punches_Landed                          0.050464   \n",
       "Strikes_Clinch Significant Strikes_Attempts                        0.232274   \n",
       "Strikes_Clinch Significant Strikes_Landed                          0.227297   \n",
       "Strikes_Clinch Total Strikes_Attempts                              0.203978   \n",
       "Strikes_Clinch Total Strikes_Landed                                0.195605   \n",
       "Strikes_Distance Body Kicks_Attempts                               0.143596   \n",
       "Strikes_Distance Body Kicks_Landed                                 0.155909   \n",
       "Strikes_Distance Body Punches_Attempts                             0.063573   \n",
       "Strikes_Distance Body Punches_Landed                               0.056340   \n",
       "Strikes_Distance Body Strikes_Attempts                             0.205902   \n",
       "Strikes_Distance Body Strikes_Landed                               0.208778   \n",
       "Strikes_Distance Head Kicks_Attempts                               0.135014   \n",
       "...                                                                     ...   \n",
       "Strikes_Head Total Strikes_Attempts                                0.330858   \n",
       "Strikes_Head Total Strikes_Landed                                  0.365153   \n",
       "Strikes_Kicks_Attempts                                             0.160063   \n",
       "Strikes_Kicks_Landed                                               0.155655   \n",
       "Strikes_Knock Down_Landed                                          0.064060   \n",
       "Strikes_Leg Total Strikes_Attempts                                 0.061493   \n",
       "Strikes_Leg Total Strikes_Landed                                   0.061795   \n",
       "Strikes_Legs Significant Strikes_Attempts                          0.144031   \n",
       "Strikes_Legs Significant Strikes_Landed                            0.139907   \n",
       "Strikes_Legs Total Strikes_Attempts                                0.137559   \n",
       "Strikes_Legs Total Strikes_Landed                                  0.134469   \n",
       "Strikes_Punches_Attempts                                           0.167607   \n",
       "Strikes_Punches_Landed                                             0.176094   \n",
       "Strikes_Significant Strikes_Attempts                               0.284515   \n",
       "Strikes_Significant Strikes_Landed                                 0.291337   \n",
       "Strikes_Total Strikes_Attempts                                     0.328620   \n",
       "Strikes_Total Strikes_Landed                                       0.350364   \n",
       "TIP_Back Control Time                                              0.506473   \n",
       "TIP_Clinch Time                                                    0.230318   \n",
       "TIP_Control Time                                                   0.419899   \n",
       "TIP_Distance Time                                                  0.211611   \n",
       "TIP_Ground Control Time                                            0.408419   \n",
       "TIP_Ground Time                                                    0.476974   \n",
       "TIP_Guard Control Time                                             0.117231   \n",
       "TIP_Half Guard Control Time                                        0.320765   \n",
       "TIP_Misc. Ground Control Time                                      0.169711   \n",
       "TIP_Mount Control Time                                             0.289659   \n",
       "TIP_Neutral Time                                                   0.226148   \n",
       "TIP_Side Control Time                                              0.248345   \n",
       "TIP_Standing Time                                                  0.252777   \n",
       "\n",
       "                                             Grappling_Takedowns_Attempts  \\\n",
       "Grappling_Reversals_Landed                                       0.133763   \n",
       "Grappling_Standups_Landed                                        0.252738   \n",
       "Grappling_Submissions_Attempts                                   0.376277   \n",
       "Grappling_Takedowns_Attempts                                     1.000000   \n",
       "Grappling_Takedowns_Landed                                       0.914703   \n",
       "Strikes_Body Significant Strikes_Attempts                        0.343912   \n",
       "Strikes_Body Significant Strikes_Landed                          0.353839   \n",
       "Strikes_Body Total Strikes_Attempts                              0.523551   \n",
       "Strikes_Body Total Strikes_Landed                                0.557610   \n",
       "Strikes_Clinch Body Strikes_Attempts                             0.366931   \n",
       "Strikes_Clinch Body Strikes_Landed                               0.345380   \n",
       "Strikes_Clinch Head Strikes_Attempts                             0.327024   \n",
       "Strikes_Clinch Head Strikes_Landed                               0.287492   \n",
       "Strikes_Clinch Leg Strikes_Attempts                              0.418479   \n",
       "Strikes_Clinch Leg Strikes_Landed                                0.416013   \n",
       "Strikes_Clinch Significant Kicks_Attempts                        0.331099   \n",
       "Strikes_Clinch Significant Kicks_Landed                          0.324724   \n",
       "Strikes_Clinch Significant Punches_Attempts                      0.273955   \n",
       "Strikes_Clinch Significant Punches_Landed                        0.241836   \n",
       "Strikes_Clinch Significant Strikes_Attempts                      0.420916   \n",
       "Strikes_Clinch Significant Strikes_Landed                        0.411919   \n",
       "Strikes_Clinch Total Strikes_Attempts                            0.451161   \n",
       "Strikes_Clinch Total Strikes_Landed                              0.442771   \n",
       "Strikes_Distance Body Kicks_Attempts                             0.185386   \n",
       "Strikes_Distance Body Kicks_Landed                               0.166607   \n",
       "Strikes_Distance Body Punches_Attempts                           0.120757   \n",
       "Strikes_Distance Body Punches_Landed                             0.109097   \n",
       "Strikes_Distance Body Strikes_Attempts                           0.223216   \n",
       "Strikes_Distance Body Strikes_Landed                             0.205818   \n",
       "Strikes_Distance Head Kicks_Attempts                             0.152875   \n",
       "...                                                                   ...   \n",
       "Strikes_Head Total Strikes_Attempts                              0.541107   \n",
       "Strikes_Head Total Strikes_Landed                                0.593386   \n",
       "Strikes_Kicks_Attempts                                           0.276252   \n",
       "Strikes_Kicks_Landed                                             0.288125   \n",
       "Strikes_Knock Down_Landed                                        0.017524   \n",
       "Strikes_Leg Total Strikes_Attempts                               0.184416   \n",
       "Strikes_Leg Total Strikes_Landed                                 0.190990   \n",
       "Strikes_Legs Significant Strikes_Attempts                        0.321649   \n",
       "Strikes_Legs Significant Strikes_Landed                          0.323664   \n",
       "Strikes_Legs Total Strikes_Attempts                              0.379273   \n",
       "Strikes_Legs Total Strikes_Landed                                0.392742   \n",
       "Strikes_Punches_Attempts                                         0.342854   \n",
       "Strikes_Punches_Landed                                           0.338215   \n",
       "Strikes_Significant Strikes_Attempts                             0.446792   \n",
       "Strikes_Significant Strikes_Landed                               0.454311   \n",
       "Strikes_Total Strikes_Attempts                                   0.556990   \n",
       "Strikes_Total Strikes_Landed                                     0.610549   \n",
       "TIP_Back Control Time                                            0.417414   \n",
       "TIP_Clinch Time                                                  0.522855   \n",
       "TIP_Control Time                                                 0.743051   \n",
       "TIP_Distance Time                                                0.362835   \n",
       "TIP_Ground Control Time                                          0.614315   \n",
       "TIP_Ground Time                                                  0.564480   \n",
       "TIP_Guard Control Time                                           0.349073   \n",
       "TIP_Half Guard Control Time                                      0.534538   \n",
       "TIP_Misc. Ground Control Time                                    0.271881   \n",
       "TIP_Mount Control Time                                           0.364750   \n",
       "TIP_Neutral Time                                                 0.383390   \n",
       "TIP_Side Control Time                                            0.347564   \n",
       "TIP_Standing Time                                                0.462365   \n",
       "\n",
       "                                             Grappling_Takedowns_Landed  \\\n",
       "Grappling_Reversals_Landed                                     0.137762   \n",
       "Grappling_Standups_Landed                                      0.221109   \n",
       "Grappling_Submissions_Attempts                                 0.375181   \n",
       "Grappling_Takedowns_Attempts                                   0.914703   \n",
       "Grappling_Takedowns_Landed                                     1.000000   \n",
       "Strikes_Body Significant Strikes_Attempts                      0.318626   \n",
       "Strikes_Body Significant Strikes_Landed                        0.336630   \n",
       "Strikes_Body Total Strikes_Attempts                            0.499897   \n",
       "Strikes_Body Total Strikes_Landed                              0.541260   \n",
       "Strikes_Clinch Body Strikes_Attempts                           0.331548   \n",
       "Strikes_Clinch Body Strikes_Landed                             0.316318   \n",
       "Strikes_Clinch Head Strikes_Attempts                           0.311087   \n",
       "Strikes_Clinch Head Strikes_Landed                             0.282659   \n",
       "Strikes_Clinch Leg Strikes_Attempts                            0.337192   \n",
       "Strikes_Clinch Leg Strikes_Landed                              0.331803   \n",
       "Strikes_Clinch Significant Kicks_Attempts                      0.311556   \n",
       "Strikes_Clinch Significant Kicks_Landed                        0.309126   \n",
       "Strikes_Clinch Significant Punches_Attempts                    0.258806   \n",
       "Strikes_Clinch Significant Punches_Landed                      0.234521   \n",
       "Strikes_Clinch Significant Strikes_Attempts                    0.385415   \n",
       "Strikes_Clinch Significant Strikes_Landed                      0.379317   \n",
       "Strikes_Clinch Total Strikes_Attempts                          0.406614   \n",
       "Strikes_Clinch Total Strikes_Landed                            0.399943   \n",
       "Strikes_Distance Body Kicks_Attempts                           0.149923   \n",
       "Strikes_Distance Body Kicks_Landed                             0.141143   \n",
       "Strikes_Distance Body Punches_Attempts                         0.082946   \n",
       "Strikes_Distance Body Punches_Landed                           0.071995   \n",
       "Strikes_Distance Body Strikes_Attempts                         0.201172   \n",
       "Strikes_Distance Body Strikes_Landed                           0.191312   \n",
       "Strikes_Distance Head Kicks_Attempts                           0.132156   \n",
       "...                                                                 ...   \n",
       "Strikes_Head Total Strikes_Attempts                            0.506776   \n",
       "Strikes_Head Total Strikes_Landed                              0.582821   \n",
       "Strikes_Kicks_Attempts                                         0.240885   \n",
       "Strikes_Kicks_Landed                                           0.256349   \n",
       "Strikes_Knock Down_Landed                                      0.004602   \n",
       "Strikes_Leg Total Strikes_Attempts                             0.151788   \n",
       "Strikes_Leg Total Strikes_Landed                               0.163823   \n",
       "Strikes_Legs Significant Strikes_Attempts                      0.253497   \n",
       "Strikes_Legs Significant Strikes_Landed                        0.260234   \n",
       "Strikes_Legs Total Strikes_Attempts                            0.315506   \n",
       "Strikes_Legs Total Strikes_Landed                              0.333146   \n",
       "Strikes_Punches_Attempts                                       0.312143   \n",
       "Strikes_Punches_Landed                                         0.320423   \n",
       "Strikes_Significant Strikes_Attempts                           0.404362   \n",
       "Strikes_Significant Strikes_Landed                             0.428354   \n",
       "Strikes_Total Strikes_Attempts                                 0.518527   \n",
       "Strikes_Total Strikes_Landed                                   0.588246   \n",
       "TIP_Back Control Time                                          0.395396   \n",
       "TIP_Clinch Time                                                0.449048   \n",
       "TIP_Control Time                                               0.746413   \n",
       "TIP_Distance Time                                              0.305029   \n",
       "TIP_Ground Control Time                                        0.654107   \n",
       "TIP_Ground Time                                                0.577488   \n",
       "TIP_Guard Control Time                                         0.367354   \n",
       "TIP_Half Guard Control Time                                    0.564787   \n",
       "TIP_Misc. Ground Control Time                                  0.330372   \n",
       "TIP_Mount Control Time                                         0.399862   \n",
       "TIP_Neutral Time                                               0.322825   \n",
       "TIP_Side Control Time                                          0.357171   \n",
       "TIP_Standing Time                                              0.390521   \n",
       "\n",
       "                                             Strikes_Body Significant Strikes_Attempts  \\\n",
       "Grappling_Reversals_Landed                                                    0.148302   \n",
       "Grappling_Standups_Landed                                                     0.476951   \n",
       "Grappling_Submissions_Attempts                                                0.274938   \n",
       "Grappling_Takedowns_Attempts                                                  0.343912   \n",
       "Grappling_Takedowns_Landed                                                    0.318626   \n",
       "Strikes_Body Significant Strikes_Attempts                                     1.000000   \n",
       "Strikes_Body Significant Strikes_Landed                                       0.977117   \n",
       "Strikes_Body Total Strikes_Attempts                                           0.905656   \n",
       "Strikes_Body Total Strikes_Landed                                             0.827588   \n",
       "Strikes_Clinch Body Strikes_Attempts                                          0.684967   \n",
       "Strikes_Clinch Body Strikes_Landed                                            0.682041   \n",
       "Strikes_Clinch Head Strikes_Attempts                                          0.630508   \n",
       "Strikes_Clinch Head Strikes_Landed                                            0.587816   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                           0.264773   \n",
       "Strikes_Clinch Leg Strikes_Landed                                             0.250153   \n",
       "Strikes_Clinch Significant Kicks_Attempts                                     0.327901   \n",
       "Strikes_Clinch Significant Kicks_Landed                                       0.320684   \n",
       "Strikes_Clinch Significant Punches_Attempts                                   0.343117   \n",
       "Strikes_Clinch Significant Punches_Landed                                     0.321585   \n",
       "Strikes_Clinch Significant Strikes_Attempts                                   0.701420   \n",
       "Strikes_Clinch Significant Strikes_Landed                                     0.682886   \n",
       "Strikes_Clinch Total Strikes_Attempts                                         0.640774   \n",
       "Strikes_Clinch Total Strikes_Landed                                           0.615167   \n",
       "Strikes_Distance Body Kicks_Attempts                                          0.486684   \n",
       "Strikes_Distance Body Kicks_Landed                                            0.484852   \n",
       "Strikes_Distance Body Punches_Attempts                                        0.476531   \n",
       "Strikes_Distance Body Punches_Landed                                          0.482621   \n",
       "Strikes_Distance Body Strikes_Attempts                                        0.936310   \n",
       "Strikes_Distance Body Strikes_Landed                                          0.918816   \n",
       "Strikes_Distance Head Kicks_Attempts                                          0.383438   \n",
       "...                                                                                ...   \n",
       "Strikes_Head Total Strikes_Attempts                                           0.742590   \n",
       "Strikes_Head Total Strikes_Landed                                             0.663782   \n",
       "Strikes_Kicks_Attempts                                                        0.472146   \n",
       "Strikes_Kicks_Landed                                                          0.463697   \n",
       "Strikes_Knock Down_Landed                                                     0.312636   \n",
       "Strikes_Leg Total Strikes_Attempts                                            0.200504   \n",
       "Strikes_Leg Total Strikes_Landed                                              0.208614   \n",
       "Strikes_Legs Significant Strikes_Attempts                                     0.654593   \n",
       "Strikes_Legs Significant Strikes_Landed                                       0.648640   \n",
       "Strikes_Legs Total Strikes_Attempts                                           0.650148   \n",
       "Strikes_Legs Total Strikes_Landed                                             0.641754   \n",
       "Strikes_Punches_Attempts                                                      0.470681   \n",
       "Strikes_Punches_Landed                                                        0.452169   \n",
       "Strikes_Significant Strikes_Attempts                                          0.829466   \n",
       "Strikes_Significant Strikes_Landed                                            0.840844   \n",
       "Strikes_Total Strikes_Attempts                                                0.808722   \n",
       "Strikes_Total Strikes_Landed                                                  0.768802   \n",
       "TIP_Back Control Time                                                         0.176285   \n",
       "TIP_Clinch Time                                                               0.536755   \n",
       "TIP_Control Time                                                              0.346772   \n",
       "TIP_Distance Time                                                             0.709877   \n",
       "TIP_Ground Control Time                                                       0.252321   \n",
       "TIP_Ground Time                                                               0.343080   \n",
       "TIP_Guard Control Time                                                        0.147631   \n",
       "TIP_Half Guard Control Time                                                   0.222529   \n",
       "TIP_Misc. Ground Control Time                                                 0.146635   \n",
       "TIP_Mount Control Time                                                        0.126734   \n",
       "TIP_Neutral Time                                                              0.720260   \n",
       "TIP_Side Control Time                                                         0.146073   \n",
       "TIP_Standing Time                                                             0.750757   \n",
       "\n",
       "                                             Strikes_Body Significant Strikes_Landed  \\\n",
       "Grappling_Reversals_Landed                                                  0.139872   \n",
       "Grappling_Standups_Landed                                                   0.472117   \n",
       "Grappling_Submissions_Attempts                                              0.287458   \n",
       "Grappling_Takedowns_Attempts                                                0.353839   \n",
       "Grappling_Takedowns_Landed                                                  0.336630   \n",
       "Strikes_Body Significant Strikes_Attempts                                   0.977117   \n",
       "Strikes_Body Significant Strikes_Landed                                     1.000000   \n",
       "Strikes_Body Total Strikes_Attempts                                         0.898526   \n",
       "Strikes_Body Total Strikes_Landed                                           0.854127   \n",
       "Strikes_Clinch Body Strikes_Attempts                                        0.746596   \n",
       "Strikes_Clinch Body Strikes_Landed                                          0.751275   \n",
       "Strikes_Clinch Head Strikes_Attempts                                        0.659307   \n",
       "Strikes_Clinch Head Strikes_Landed                                          0.628102   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                         0.289634   \n",
       "Strikes_Clinch Leg Strikes_Landed                                           0.273658   \n",
       "Strikes_Clinch Significant Kicks_Attempts                                   0.351693   \n",
       "Strikes_Clinch Significant Kicks_Landed                                     0.343792   \n",
       "Strikes_Clinch Significant Punches_Attempts                                 0.357303   \n",
       "Strikes_Clinch Significant Punches_Landed                                   0.338626   \n",
       "Strikes_Clinch Significant Strikes_Attempts                                 0.745970   \n",
       "Strikes_Clinch Significant Strikes_Landed                                   0.740441   \n",
       "Strikes_Clinch Total Strikes_Attempts                                       0.679690   \n",
       "Strikes_Clinch Total Strikes_Landed                                         0.660242   \n",
       "Strikes_Distance Body Kicks_Attempts                                        0.463141   \n",
       "Strikes_Distance Body Kicks_Landed                                          0.476426   \n",
       "Strikes_Distance Body Punches_Attempts                                      0.441575   \n",
       "Strikes_Distance Body Punches_Landed                                        0.453335   \n",
       "Strikes_Distance Body Strikes_Attempts                                      0.871669   \n",
       "Strikes_Distance Body Strikes_Landed                                        0.894380   \n",
       "Strikes_Distance Head Kicks_Attempts                                        0.364831   \n",
       "...                                                                              ...   \n",
       "Strikes_Head Total Strikes_Attempts                                         0.734876   \n",
       "Strikes_Head Total Strikes_Landed                                           0.681495   \n",
       "Strikes_Kicks_Attempts                                                      0.464261   \n",
       "Strikes_Kicks_Landed                                                        0.466699   \n",
       "Strikes_Knock Down_Landed                                                   0.301172   \n",
       "Strikes_Leg Total Strikes_Attempts                                          0.188653   \n",
       "Strikes_Leg Total Strikes_Landed                                            0.198422   \n",
       "Strikes_Legs Significant Strikes_Attempts                                   0.640450   \n",
       "Strikes_Legs Significant Strikes_Landed                                     0.641279   \n",
       "Strikes_Legs Total Strikes_Attempts                                         0.648645   \n",
       "Strikes_Legs Total Strikes_Landed                                           0.647133   \n",
       "Strikes_Punches_Attempts                                                    0.473874   \n",
       "Strikes_Punches_Landed                                                      0.466974   \n",
       "Strikes_Significant Strikes_Attempts                                        0.812480   \n",
       "Strikes_Significant Strikes_Landed                                          0.851338   \n",
       "Strikes_Total Strikes_Attempts                                              0.801005   \n",
       "Strikes_Total Strikes_Landed                                                0.787843   \n",
       "TIP_Back Control Time                                                       0.191438   \n",
       "TIP_Clinch Time                                                             0.570658   \n",
       "TIP_Control Time                                                            0.379716   \n",
       "TIP_Distance Time                                                           0.683110   \n",
       "TIP_Ground Control Time                                                     0.275364   \n",
       "TIP_Ground Time                                                             0.356025   \n",
       "TIP_Guard Control Time                                                      0.148410   \n",
       "TIP_Half Guard Control Time                                                 0.258525   \n",
       "TIP_Misc. Ground Control Time                                               0.171803   \n",
       "TIP_Mount Control Time                                                      0.140352   \n",
       "TIP_Neutral Time                                                            0.696784   \n",
       "TIP_Side Control Time                                                       0.155971   \n",
       "TIP_Standing Time                                                           0.736033   \n",
       "\n",
       "                                             Strikes_Body Total Strikes_Attempts  \\\n",
       "Grappling_Reversals_Landed                                              0.176607   \n",
       "Grappling_Standups_Landed                                               0.482944   \n",
       "Grappling_Submissions_Attempts                                          0.316643   \n",
       "Grappling_Takedowns_Attempts                                            0.523551   \n",
       "Grappling_Takedowns_Landed                                              0.499897   \n",
       "Strikes_Body Significant Strikes_Attempts                               0.905656   \n",
       "Strikes_Body Significant Strikes_Landed                                 0.898526   \n",
       "Strikes_Body Total Strikes_Attempts                                     1.000000   \n",
       "Strikes_Body Total Strikes_Landed                                       0.980563   \n",
       "Strikes_Clinch Body Strikes_Attempts                                    0.719796   \n",
       "Strikes_Clinch Body Strikes_Landed                                      0.712128   \n",
       "Strikes_Clinch Head Strikes_Attempts                                    0.633951   \n",
       "Strikes_Clinch Head Strikes_Landed                                      0.592702   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                     0.357530   \n",
       "Strikes_Clinch Leg Strikes_Landed                                       0.343508   \n",
       "Strikes_Clinch Significant Kicks_Attempts                               0.387729   \n",
       "Strikes_Clinch Significant Kicks_Landed                                 0.375329   \n",
       "Strikes_Clinch Significant Punches_Attempts                             0.370634   \n",
       "Strikes_Clinch Significant Punches_Landed                               0.339509   \n",
       "Strikes_Clinch Significant Strikes_Attempts                             0.732014   \n",
       "Strikes_Clinch Significant Strikes_Landed                               0.720917   \n",
       "Strikes_Clinch Total Strikes_Attempts                                   0.732316   \n",
       "Strikes_Clinch Total Strikes_Landed                                     0.719162   \n",
       "Strikes_Distance Body Kicks_Attempts                                    0.420220   \n",
       "Strikes_Distance Body Kicks_Landed                                      0.411261   \n",
       "Strikes_Distance Body Punches_Attempts                                  0.403769   \n",
       "Strikes_Distance Body Punches_Landed                                    0.407516   \n",
       "Strikes_Distance Body Strikes_Attempts                                  0.782054   \n",
       "Strikes_Distance Body Strikes_Landed                                    0.757876   \n",
       "Strikes_Distance Head Kicks_Attempts                                    0.334504   \n",
       "...                                                                          ...   \n",
       "Strikes_Head Total Strikes_Attempts                                     0.765312   \n",
       "Strikes_Head Total Strikes_Landed                                       0.751284   \n",
       "Strikes_Kicks_Attempts                                                  0.454358   \n",
       "Strikes_Kicks_Landed                                                    0.450724   \n",
       "Strikes_Knock Down_Landed                                               0.235006   \n",
       "Strikes_Leg Total Strikes_Attempts                                      0.196381   \n",
       "Strikes_Leg Total Strikes_Landed                                        0.205270   \n",
       "Strikes_Legs Significant Strikes_Attempts                               0.601460   \n",
       "Strikes_Legs Significant Strikes_Landed                                 0.594948   \n",
       "Strikes_Legs Total Strikes_Attempts                                     0.634752   \n",
       "Strikes_Legs Total Strikes_Landed                                       0.631371   \n",
       "Strikes_Punches_Attempts                                                0.488646   \n",
       "Strikes_Punches_Landed                                                  0.492065   \n",
       "Strikes_Significant Strikes_Attempts                                    0.782498   \n",
       "Strikes_Significant Strikes_Landed                                      0.806122   \n",
       "Strikes_Total Strikes_Attempts                                          0.840865   \n",
       "Strikes_Total Strikes_Landed                                            0.864172   \n",
       "TIP_Back Control Time                                                   0.260517   \n",
       "TIP_Clinch Time                                                         0.602294   \n",
       "TIP_Control Time                                                        0.532816   \n",
       "TIP_Distance Time                                                       0.634458   \n",
       "TIP_Ground Control Time                                                 0.426543   \n",
       "TIP_Ground Time                                                         0.481279   \n",
       "TIP_Guard Control Time                                                  0.267644   \n",
       "TIP_Half Guard Control Time                                             0.397659   \n",
       "TIP_Misc. Ground Control Time                                           0.200565   \n",
       "TIP_Mount Control Time                                                  0.219897   \n",
       "TIP_Neutral Time                                                        0.651857   \n",
       "TIP_Side Control Time                                                   0.245774   \n",
       "TIP_Standing Time                                                       0.704844   \n",
       "\n",
       "                                             Strikes_Body Total Strikes_Landed  \\\n",
       "Grappling_Reversals_Landed                                            0.170617   \n",
       "Grappling_Standups_Landed                                             0.462675   \n",
       "Grappling_Submissions_Attempts                                        0.323188   \n",
       "Grappling_Takedowns_Attempts                                          0.557610   \n",
       "Grappling_Takedowns_Landed                                            0.541260   \n",
       "Strikes_Body Significant Strikes_Attempts                             0.827588   \n",
       "Strikes_Body Significant Strikes_Landed                               0.854127   \n",
       "Strikes_Body Total Strikes_Attempts                                   0.980563   \n",
       "Strikes_Body Total Strikes_Landed                                     1.000000   \n",
       "Strikes_Clinch Body Strikes_Attempts                                  0.737570   \n",
       "Strikes_Clinch Body Strikes_Landed                                    0.733991   \n",
       "Strikes_Clinch Head Strikes_Attempts                                  0.625341   \n",
       "Strikes_Clinch Head Strikes_Landed                                    0.593937   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                   0.383599   \n",
       "Strikes_Clinch Leg Strikes_Landed                                     0.369433   \n",
       "Strikes_Clinch Significant Kicks_Attempts                             0.404974   \n",
       "Strikes_Clinch Significant Kicks_Landed                               0.391311   \n",
       "Strikes_Clinch Significant Punches_Attempts                           0.371820   \n",
       "Strikes_Clinch Significant Punches_Landed                             0.340526   \n",
       "Strikes_Clinch Significant Strikes_Attempts                           0.736846   \n",
       "Strikes_Clinch Significant Strikes_Landed                             0.736904   \n",
       "Strikes_Clinch Total Strikes_Attempts                                 0.749682   \n",
       "Strikes_Clinch Total Strikes_Landed                                   0.744777   \n",
       "Strikes_Distance Body Kicks_Attempts                                  0.369967   \n",
       "Strikes_Distance Body Kicks_Landed                                    0.368662   \n",
       "Strikes_Distance Body Punches_Attempts                                0.345684   \n",
       "Strikes_Distance Body Punches_Landed                                  0.352250   \n",
       "Strikes_Distance Body Strikes_Attempts                                0.666354   \n",
       "Strikes_Distance Body Strikes_Landed                                  0.666730   \n",
       "Strikes_Distance Head Kicks_Attempts                                  0.296851   \n",
       "...                                                                        ...   \n",
       "Strikes_Head Total Strikes_Attempts                                   0.735595   \n",
       "Strikes_Head Total Strikes_Landed                                     0.756321   \n",
       "Strikes_Kicks_Attempts                                                0.427264   \n",
       "Strikes_Kicks_Landed                                                  0.431937   \n",
       "Strikes_Knock Down_Landed                                             0.196797   \n",
       "Strikes_Leg Total Strikes_Attempts                                    0.181569   \n",
       "Strikes_Leg Total Strikes_Landed                                      0.191371   \n",
       "Strikes_Legs Significant Strikes_Attempts                             0.553906   \n",
       "Strikes_Legs Significant Strikes_Landed                               0.551926   \n",
       "Strikes_Legs Total Strikes_Attempts                                   0.603076   \n",
       "Strikes_Legs Total Strikes_Landed                                     0.605668   \n",
       "Strikes_Punches_Attempts                                              0.477720   \n",
       "Strikes_Punches_Landed                                                0.494555   \n",
       "Strikes_Significant Strikes_Attempts                                  0.726957   \n",
       "Strikes_Significant Strikes_Landed                                    0.770591   \n",
       "Strikes_Total Strikes_Attempts                                        0.810599   \n",
       "Strikes_Total Strikes_Landed                                          0.867609   \n",
       "TIP_Back Control Time                                                 0.282016   \n",
       "TIP_Clinch Time                                                       0.616601   \n",
       "TIP_Control Time                                                      0.583971   \n",
       "TIP_Distance Time                                                     0.571441   \n",
       "TIP_Ground Control Time                                               0.473165   \n",
       "TIP_Ground Time                                                       0.509398   \n",
       "TIP_Guard Control Time                                                0.291471   \n",
       "TIP_Half Guard Control Time                                           0.454397   \n",
       "TIP_Misc. Ground Control Time                                         0.223368   \n",
       "TIP_Mount Control Time                                                0.246257   \n",
       "TIP_Neutral Time                                                      0.592009   \n",
       "TIP_Side Control Time                                                 0.269996   \n",
       "TIP_Standing Time                                                     0.654406   \n",
       "\n",
       "                                             Strikes_Clinch Body Strikes_Attempts  \\\n",
       "Grappling_Reversals_Landed                                               0.177645   \n",
       "Grappling_Standups_Landed                                                0.387622   \n",
       "Grappling_Submissions_Attempts                                           0.260720   \n",
       "Grappling_Takedowns_Attempts                                             0.366931   \n",
       "Grappling_Takedowns_Landed                                               0.331548   \n",
       "Strikes_Body Significant Strikes_Attempts                                0.684967   \n",
       "Strikes_Body Significant Strikes_Landed                                  0.746596   \n",
       "Strikes_Body Total Strikes_Attempts                                      0.719796   \n",
       "Strikes_Body Total Strikes_Landed                                        0.737570   \n",
       "Strikes_Clinch Body Strikes_Attempts                                     1.000000   \n",
       "Strikes_Clinch Body Strikes_Landed                                       0.991684   \n",
       "Strikes_Clinch Head Strikes_Attempts                                     0.679903   \n",
       "Strikes_Clinch Head Strikes_Landed                                       0.658993   \n",
       "Strikes_Clinch Leg Strikes_Attempts                                      0.380886   \n",
       "Strikes_Clinch Leg Strikes_Landed                                        0.361152   \n",
       "Strikes_Clinch Significant Kicks_Attempts                                0.411463   \n",
       "Strikes_Clinch Significant Kicks_Landed                                  0.396673   \n",
       "Strikes_Clinch Significant Punches_Attempts                              0.322714   \n",
       "Strikes_Clinch Significant Punches_Landed                                0.308828   \n",
       "Strikes_Clinch Significant Strikes_Attempts                              0.859993   \n",
       "Strikes_Clinch Significant Strikes_Landed                                0.878356   \n",
       "Strikes_Clinch Total Strikes_Attempts                                    0.813982   \n",
       "Strikes_Clinch Total Strikes_Landed                                      0.805346   \n",
       "Strikes_Distance Body Kicks_Attempts                                     0.261818   \n",
       "Strikes_Distance Body Kicks_Landed                                       0.262768   \n",
       "Strikes_Distance Body Punches_Attempts                                   0.165633   \n",
       "Strikes_Distance Body Punches_Landed                                     0.173292   \n",
       "Strikes_Distance Body Strikes_Attempts                                   0.413613   \n",
       "Strikes_Distance Body Strikes_Landed                                     0.422852   \n",
       "Strikes_Distance Head Kicks_Attempts                                     0.206023   \n",
       "...                                                                           ...   \n",
       "Strikes_Head Total Strikes_Attempts                                      0.528815   \n",
       "Strikes_Head Total Strikes_Landed                                        0.546030   \n",
       "Strikes_Kicks_Attempts                                                   0.324880   \n",
       "Strikes_Kicks_Landed                                                     0.331371   \n",
       "Strikes_Knock Down_Landed                                                0.105167   \n",
       "Strikes_Leg Total Strikes_Attempts                                       0.119817   \n",
       "Strikes_Leg Total Strikes_Landed                                         0.127763   \n",
       "Strikes_Legs Significant Strikes_Attempts                                0.416254   \n",
       "Strikes_Legs Significant Strikes_Landed                                  0.412424   \n",
       "Strikes_Legs Total Strikes_Attempts                                      0.490612   \n",
       "Strikes_Legs Total Strikes_Landed                                        0.492473   \n",
       "Strikes_Punches_Attempts                                                 0.311451   \n",
       "Strikes_Punches_Landed                                                   0.318643   \n",
       "Strikes_Significant Strikes_Attempts                                     0.547173   \n",
       "Strikes_Significant Strikes_Landed                                       0.604780   \n",
       "Strikes_Total Strikes_Attempts                                           0.591028   \n",
       "Strikes_Total Strikes_Landed                                             0.639200   \n",
       "TIP_Back Control Time                                                    0.197927   \n",
       "TIP_Clinch Time                                                          0.609509   \n",
       "TIP_Control Time                                                         0.388129   \n",
       "TIP_Distance Time                                                        0.377697   \n",
       "TIP_Ground Control Time                                                  0.252253   \n",
       "TIP_Ground Time                                                          0.304633   \n",
       "TIP_Guard Control Time                                                   0.129024   \n",
       "TIP_Half Guard Control Time                                              0.251204   \n",
       "TIP_Misc. Ground Control Time                                            0.149590   \n",
       "TIP_Mount Control Time                                                   0.140503   \n",
       "TIP_Neutral Time                                                         0.404633   \n",
       "TIP_Side Control Time                                                    0.082717   \n",
       "TIP_Standing Time                                                        0.476995   \n",
       "\n",
       "                                             ...  TIP_Distance Time  \\\n",
       "Grappling_Reversals_Landed                   ...           0.049591   \n",
       "Grappling_Standups_Landed                    ...           0.415372   \n",
       "Grappling_Submissions_Attempts               ...           0.211611   \n",
       "Grappling_Takedowns_Attempts                 ...           0.362835   \n",
       "Grappling_Takedowns_Landed                   ...           0.305029   \n",
       "Strikes_Body Significant Strikes_Attempts    ...           0.709877   \n",
       "Strikes_Body Significant Strikes_Landed      ...           0.683110   \n",
       "Strikes_Body Total Strikes_Attempts          ...           0.634458   \n",
       "Strikes_Body Total Strikes_Landed            ...           0.571441   \n",
       "Strikes_Clinch Body Strikes_Attempts         ...           0.377697   \n",
       "Strikes_Clinch Body Strikes_Landed           ...           0.382801   \n",
       "Strikes_Clinch Head Strikes_Attempts         ...           0.503127   \n",
       "Strikes_Clinch Head Strikes_Landed           ...           0.461809   \n",
       "Strikes_Clinch Leg Strikes_Attempts          ...           0.246871   \n",
       "Strikes_Clinch Leg Strikes_Landed            ...           0.242116   \n",
       "Strikes_Clinch Significant Kicks_Attempts    ...           0.322642   \n",
       "Strikes_Clinch Significant Kicks_Landed      ...           0.311621   \n",
       "Strikes_Clinch Significant Punches_Attempts  ...           0.373998   \n",
       "Strikes_Clinch Significant Punches_Landed    ...           0.345286   \n",
       "Strikes_Clinch Significant Strikes_Attempts  ...           0.481033   \n",
       "Strikes_Clinch Significant Strikes_Landed    ...           0.459159   \n",
       "Strikes_Clinch Total Strikes_Attempts        ...           0.465569   \n",
       "Strikes_Clinch Total Strikes_Landed          ...           0.443161   \n",
       "Strikes_Distance Body Kicks_Attempts         ...           0.450590   \n",
       "Strikes_Distance Body Kicks_Landed           ...           0.452655   \n",
       "Strikes_Distance Body Punches_Attempts       ...           0.361040   \n",
       "Strikes_Distance Body Punches_Landed         ...           0.363576   \n",
       "Strikes_Distance Body Strikes_Attempts       ...           0.728536   \n",
       "Strikes_Distance Body Strikes_Landed         ...           0.725776   \n",
       "Strikes_Distance Head Kicks_Attempts         ...           0.398003   \n",
       "...                                          ...                ...   \n",
       "Strikes_Head Total Strikes_Attempts          ...           0.775613   \n",
       "Strikes_Head Total Strikes_Landed            ...           0.677261   \n",
       "Strikes_Kicks_Attempts                       ...           0.487181   \n",
       "Strikes_Kicks_Landed                         ...           0.484785   \n",
       "Strikes_Knock Down_Landed                    ...           0.395118   \n",
       "Strikes_Leg Total Strikes_Attempts           ...           0.267465   \n",
       "Strikes_Leg Total Strikes_Landed             ...           0.271033   \n",
       "Strikes_Legs Significant Strikes_Attempts    ...           0.670038   \n",
       "Strikes_Legs Significant Strikes_Landed      ...           0.675048   \n",
       "Strikes_Legs Total Strikes_Attempts          ...           0.631189   \n",
       "Strikes_Legs Total Strikes_Landed            ...           0.632994   \n",
       "Strikes_Punches_Attempts                     ...           0.535847   \n",
       "Strikes_Punches_Landed                       ...           0.492868   \n",
       "Strikes_Significant Strikes_Attempts         ...           0.820744   \n",
       "Strikes_Significant Strikes_Landed           ...           0.797897   \n",
       "Strikes_Total Strikes_Attempts               ...           0.787868   \n",
       "Strikes_Total Strikes_Landed                 ...           0.713391   \n",
       "TIP_Back Control Time                        ...           0.219380   \n",
       "TIP_Clinch Time                              ...           0.527802   \n",
       "TIP_Control Time                             ...           0.400059   \n",
       "TIP_Distance Time                            ...           1.000000   \n",
       "TIP_Ground Control Time                      ...           0.343803   \n",
       "TIP_Ground Time                              ...           0.412748   \n",
       "TIP_Guard Control Time                       ...           0.202351   \n",
       "TIP_Half Guard Control Time                  ...           0.237043   \n",
       "TIP_Misc. Ground Control Time                ...           0.184795   \n",
       "TIP_Mount Control Time                       ...           0.236086   \n",
       "TIP_Neutral Time                             ...           0.987223   \n",
       "TIP_Side Control Time                        ...           0.129149   \n",
       "TIP_Standing Time                            ...           0.943412   \n",
       "\n",
       "                                             TIP_Ground Control Time  \\\n",
       "Grappling_Reversals_Landed                                  0.153729   \n",
       "Grappling_Standups_Landed                                   0.204295   \n",
       "Grappling_Submissions_Attempts                              0.408419   \n",
       "Grappling_Takedowns_Attempts                                0.614315   \n",
       "Grappling_Takedowns_Landed                                  0.654107   \n",
       "Strikes_Body Significant Strikes_Attempts                   0.252321   \n",
       "Strikes_Body Significant Strikes_Landed                     0.275364   \n",
       "Strikes_Body Total Strikes_Attempts                         0.426543   \n",
       "Strikes_Body Total Strikes_Landed                           0.473165   \n",
       "Strikes_Clinch Body Strikes_Attempts                        0.252253   \n",
       "Strikes_Clinch Body Strikes_Landed                          0.240968   \n",
       "Strikes_Clinch Head Strikes_Attempts                        0.208818   \n",
       "Strikes_Clinch Head Strikes_Landed                          0.195021   \n",
       "Strikes_Clinch Leg Strikes_Attempts                         0.214726   \n",
       "Strikes_Clinch Leg Strikes_Landed                           0.205392   \n",
       "Strikes_Clinch Significant Kicks_Attempts                   0.276894   \n",
       "Strikes_Clinch Significant Kicks_Landed                     0.263986   \n",
       "Strikes_Clinch Significant Punches_Attempts                 0.210151   \n",
       "Strikes_Clinch Significant Punches_Landed                   0.183418   \n",
       "Strikes_Clinch Significant Strikes_Attempts                 0.265943   \n",
       "Strikes_Clinch Significant Strikes_Landed                   0.264777   \n",
       "Strikes_Clinch Total Strikes_Attempts                       0.292095   \n",
       "Strikes_Clinch Total Strikes_Landed                         0.294161   \n",
       "Strikes_Distance Body Kicks_Attempts                        0.132223   \n",
       "Strikes_Distance Body Kicks_Landed                          0.123875   \n",
       "Strikes_Distance Body Punches_Attempts                      0.091629   \n",
       "Strikes_Distance Body Punches_Landed                        0.091463   \n",
       "Strikes_Distance Body Strikes_Attempts                      0.157031   \n",
       "Strikes_Distance Body Strikes_Landed                        0.161021   \n",
       "Strikes_Distance Head Kicks_Attempts                        0.100827   \n",
       "...                                                              ...   \n",
       "Strikes_Head Total Strikes_Attempts                         0.426472   \n",
       "Strikes_Head Total Strikes_Landed                           0.521855   \n",
       "Strikes_Kicks_Attempts                                      0.205099   \n",
       "Strikes_Kicks_Landed                                        0.212437   \n",
       "Strikes_Knock Down_Landed                                   0.055962   \n",
       "Strikes_Leg Total Strikes_Attempts                          0.144829   \n",
       "Strikes_Leg Total Strikes_Landed                            0.154637   \n",
       "Strikes_Legs Significant Strikes_Attempts                   0.192233   \n",
       "Strikes_Legs Significant Strikes_Landed                     0.201069   \n",
       "Strikes_Legs Total Strikes_Attempts                         0.231525   \n",
       "Strikes_Legs Total Strikes_Landed                           0.248783   \n",
       "Strikes_Punches_Attempts                                    0.283238   \n",
       "Strikes_Punches_Landed                                      0.310070   \n",
       "Strikes_Significant Strikes_Attempts                        0.322282   \n",
       "Strikes_Significant Strikes_Landed                          0.356190   \n",
       "Strikes_Total Strikes_Attempts                              0.434229   \n",
       "Strikes_Total Strikes_Landed                                0.515800   \n",
       "TIP_Back Control Time                                       0.466556   \n",
       "TIP_Clinch Time                                             0.406711   \n",
       "TIP_Control Time                                            0.866617   \n",
       "TIP_Distance Time                                           0.343803   \n",
       "TIP_Ground Control Time                                     1.000000   \n",
       "TIP_Ground Time                                             0.826980   \n",
       "TIP_Guard Control Time                                      0.688632   \n",
       "TIP_Half Guard Control Time                                 0.670339   \n",
       "TIP_Misc. Ground Control Time                               0.396202   \n",
       "TIP_Mount Control Time                                      0.700395   \n",
       "TIP_Neutral Time                                            0.361777   \n",
       "TIP_Side Control Time                                       0.434852   \n",
       "TIP_Standing Time                                           0.410486   \n",
       "\n",
       "                                             TIP_Ground Time  \\\n",
       "Grappling_Reversals_Landed                          0.255642   \n",
       "Grappling_Standups_Landed                           0.434215   \n",
       "Grappling_Submissions_Attempts                      0.476974   \n",
       "Grappling_Takedowns_Attempts                        0.564480   \n",
       "Grappling_Takedowns_Landed                          0.577488   \n",
       "Strikes_Body Significant Strikes_Attempts           0.343080   \n",
       "Strikes_Body Significant Strikes_Landed             0.356025   \n",
       "Strikes_Body Total Strikes_Attempts                 0.481279   \n",
       "Strikes_Body Total Strikes_Landed                   0.509398   \n",
       "Strikes_Clinch Body Strikes_Attempts                0.304633   \n",
       "Strikes_Clinch Body Strikes_Landed                  0.296073   \n",
       "Strikes_Clinch Head Strikes_Attempts                0.266821   \n",
       "Strikes_Clinch Head Strikes_Landed                  0.246611   \n",
       "Strikes_Clinch Leg Strikes_Attempts                 0.227962   \n",
       "Strikes_Clinch Leg Strikes_Landed                   0.220318   \n",
       "Strikes_Clinch Significant Kicks_Attempts           0.264381   \n",
       "Strikes_Clinch Significant Kicks_Landed             0.253613   \n",
       "Strikes_Clinch Significant Punches_Attempts         0.195861   \n",
       "Strikes_Clinch Significant Punches_Landed           0.162480   \n",
       "Strikes_Clinch Significant Strikes_Attempts         0.322320   \n",
       "Strikes_Clinch Significant Strikes_Landed           0.318936   \n",
       "Strikes_Clinch Total Strikes_Attempts               0.334112   \n",
       "Strikes_Clinch Total Strikes_Landed                 0.332942   \n",
       "Strikes_Distance Body Kicks_Attempts                0.151007   \n",
       "Strikes_Distance Body Kicks_Landed                  0.142590   \n",
       "Strikes_Distance Body Punches_Attempts              0.103487   \n",
       "Strikes_Distance Body Punches_Landed                0.107753   \n",
       "Strikes_Distance Body Strikes_Attempts              0.255248   \n",
       "Strikes_Distance Body Strikes_Landed                0.253401   \n",
       "Strikes_Distance Head Kicks_Attempts                0.147022   \n",
       "...                                                      ...   \n",
       "Strikes_Head Total Strikes_Attempts                 0.489433   \n",
       "Strikes_Head Total Strikes_Landed                   0.558080   \n",
       "Strikes_Kicks_Attempts                              0.232873   \n",
       "Strikes_Kicks_Landed                                0.232022   \n",
       "Strikes_Knock Down_Landed                           0.080045   \n",
       "Strikes_Leg Total Strikes_Attempts                  0.148243   \n",
       "Strikes_Leg Total Strikes_Landed                    0.147517   \n",
       "Strikes_Legs Significant Strikes_Attempts           0.264358   \n",
       "Strikes_Legs Significant Strikes_Landed             0.265258   \n",
       "Strikes_Legs Total Strikes_Attempts                 0.288934   \n",
       "Strikes_Legs Total Strikes_Landed                   0.298084   \n",
       "Strikes_Punches_Attempts                            0.296967   \n",
       "Strikes_Punches_Landed                              0.317586   \n",
       "Strikes_Significant Strikes_Attempts                0.405616   \n",
       "Strikes_Significant Strikes_Landed                  0.424801   \n",
       "Strikes_Total Strikes_Attempts                      0.498900   \n",
       "Strikes_Total Strikes_Landed                        0.557114   \n",
       "TIP_Back Control Time                               0.437708   \n",
       "TIP_Clinch Time                                     0.490407   \n",
       "TIP_Control Time                                    0.759549   \n",
       "TIP_Distance Time                                   0.412748   \n",
       "TIP_Ground Control Time                             0.826980   \n",
       "TIP_Ground Time                                     1.000000   \n",
       "TIP_Guard Control Time                              0.545847   \n",
       "TIP_Half Guard Control Time                         0.570221   \n",
       "TIP_Misc. Ground Control Time                       0.298688   \n",
       "TIP_Mount Control Time                              0.572740   \n",
       "TIP_Neutral Time                                    0.428721   \n",
       "TIP_Side Control Time                               0.415976   \n",
       "TIP_Standing Time                                   0.489674   \n",
       "\n",
       "                                             TIP_Guard Control Time  \\\n",
       "Grappling_Reversals_Landed                                 0.080645   \n",
       "Grappling_Standups_Landed                                  0.073983   \n",
       "Grappling_Submissions_Attempts                             0.117231   \n",
       "Grappling_Takedowns_Attempts                               0.349073   \n",
       "Grappling_Takedowns_Landed                                 0.367354   \n",
       "Strikes_Body Significant Strikes_Attempts                  0.147631   \n",
       "Strikes_Body Significant Strikes_Landed                    0.148410   \n",
       "Strikes_Body Total Strikes_Attempts                        0.267644   \n",
       "Strikes_Body Total Strikes_Landed                          0.291471   \n",
       "Strikes_Clinch Body Strikes_Attempts                       0.129024   \n",
       "Strikes_Clinch Body Strikes_Landed                         0.120196   \n",
       "Strikes_Clinch Head Strikes_Attempts                       0.107664   \n",
       "Strikes_Clinch Head Strikes_Landed                         0.086366   \n",
       "Strikes_Clinch Leg Strikes_Attempts                        0.129928   \n",
       "Strikes_Clinch Leg Strikes_Landed                          0.128161   \n",
       "Strikes_Clinch Significant Kicks_Attempts                  0.140445   \n",
       "Strikes_Clinch Significant Kicks_Landed                    0.133836   \n",
       "Strikes_Clinch Significant Punches_Attempts                0.122616   \n",
       "Strikes_Clinch Significant Punches_Landed                  0.106083   \n",
       "Strikes_Clinch Significant Strikes_Attempts                0.140252   \n",
       "Strikes_Clinch Significant Strikes_Landed                  0.132074   \n",
       "Strikes_Clinch Total Strikes_Attempts                      0.162300   \n",
       "Strikes_Clinch Total Strikes_Landed                        0.162346   \n",
       "Strikes_Distance Body Kicks_Attempts                       0.047652   \n",
       "Strikes_Distance Body Kicks_Landed                         0.039970   \n",
       "Strikes_Distance Body Punches_Attempts                     0.132864   \n",
       "Strikes_Distance Body Punches_Landed                       0.141771   \n",
       "Strikes_Distance Body Strikes_Attempts                     0.106106   \n",
       "Strikes_Distance Body Strikes_Landed                       0.097959   \n",
       "Strikes_Distance Head Kicks_Attempts                       0.055201   \n",
       "...                                                             ...   \n",
       "Strikes_Head Total Strikes_Attempts                        0.242827   \n",
       "Strikes_Head Total Strikes_Landed                          0.283806   \n",
       "Strikes_Kicks_Attempts                                     0.112555   \n",
       "Strikes_Kicks_Landed                                       0.110133   \n",
       "Strikes_Knock Down_Landed                                  0.046824   \n",
       "Strikes_Leg Total Strikes_Attempts                         0.039294   \n",
       "Strikes_Leg Total Strikes_Landed                           0.043226   \n",
       "Strikes_Legs Significant Strikes_Attempts                  0.109989   \n",
       "Strikes_Legs Significant Strikes_Landed                    0.116492   \n",
       "Strikes_Legs Total Strikes_Attempts                        0.140148   \n",
       "Strikes_Legs Total Strikes_Landed                          0.151225   \n",
       "Strikes_Punches_Attempts                                   0.168657   \n",
       "Strikes_Punches_Landed                                     0.183338   \n",
       "Strikes_Significant Strikes_Attempts                       0.184939   \n",
       "Strikes_Significant Strikes_Landed                         0.193118   \n",
       "Strikes_Total Strikes_Attempts                             0.251206   \n",
       "Strikes_Total Strikes_Landed                               0.290242   \n",
       "TIP_Back Control Time                                      0.114365   \n",
       "TIP_Clinch Time                                            0.244797   \n",
       "TIP_Control Time                                           0.406810   \n",
       "TIP_Distance Time                                          0.202351   \n",
       "TIP_Ground Control Time                                    0.688632   \n",
       "TIP_Ground Time                                            0.545847   \n",
       "TIP_Guard Control Time                                     1.000000   \n",
       "TIP_Half Guard Control Time                                0.323601   \n",
       "TIP_Misc. Ground Control Time                              0.132016   \n",
       "TIP_Mount Control Time                                     0.186706   \n",
       "TIP_Neutral Time                                           0.211890   \n",
       "TIP_Side Control Time                                      0.155179   \n",
       "TIP_Standing Time                                          0.242285   \n",
       "\n",
       "                                             TIP_Half Guard Control Time  \\\n",
       "Grappling_Reversals_Landed                                      0.072565   \n",
       "Grappling_Standups_Landed                                       0.125588   \n",
       "Grappling_Submissions_Attempts                                  0.320765   \n",
       "Grappling_Takedowns_Attempts                                    0.534538   \n",
       "Grappling_Takedowns_Landed                                      0.564787   \n",
       "Strikes_Body Significant Strikes_Attempts                       0.222529   \n",
       "Strikes_Body Significant Strikes_Landed                         0.258525   \n",
       "Strikes_Body Total Strikes_Attempts                             0.397659   \n",
       "Strikes_Body Total Strikes_Landed                               0.454397   \n",
       "Strikes_Clinch Body Strikes_Attempts                            0.251204   \n",
       "Strikes_Clinch Body Strikes_Landed                              0.239199   \n",
       "Strikes_Clinch Head Strikes_Attempts                            0.214595   \n",
       "Strikes_Clinch Head Strikes_Landed                              0.203679   \n",
       "Strikes_Clinch Leg Strikes_Attempts                             0.171100   \n",
       "Strikes_Clinch Leg Strikes_Landed                               0.158696   \n",
       "Strikes_Clinch Significant Kicks_Attempts                       0.236308   \n",
       "Strikes_Clinch Significant Kicks_Landed                         0.223541   \n",
       "Strikes_Clinch Significant Punches_Attempts                     0.251175   \n",
       "Strikes_Clinch Significant Punches_Landed                       0.209445   \n",
       "Strikes_Clinch Significant Strikes_Attempts                     0.258006   \n",
       "Strikes_Clinch Significant Strikes_Landed                       0.255595   \n",
       "Strikes_Clinch Total Strikes_Attempts                           0.279439   \n",
       "Strikes_Clinch Total Strikes_Landed                             0.280688   \n",
       "Strikes_Distance Body Kicks_Attempts                            0.151361   \n",
       "Strikes_Distance Body Kicks_Landed                              0.141650   \n",
       "Strikes_Distance Body Punches_Attempts                          0.062856   \n",
       "Strikes_Distance Body Punches_Landed                            0.059487   \n",
       "Strikes_Distance Body Strikes_Attempts                          0.115283   \n",
       "Strikes_Distance Body Strikes_Landed                            0.128805   \n",
       "Strikes_Distance Head Kicks_Attempts                            0.089864   \n",
       "...                                                                  ...   \n",
       "Strikes_Head Total Strikes_Attempts                             0.381194   \n",
       "Strikes_Head Total Strikes_Landed                               0.481910   \n",
       "Strikes_Kicks_Attempts                                          0.190114   \n",
       "Strikes_Kicks_Landed                                            0.195045   \n",
       "Strikes_Knock Down_Landed                                       0.069295   \n",
       "Strikes_Leg Total Strikes_Attempts                              0.183659   \n",
       "Strikes_Leg Total Strikes_Landed                                0.191935   \n",
       "Strikes_Legs Significant Strikes_Attempts                       0.147860   \n",
       "Strikes_Legs Significant Strikes_Landed                         0.157824   \n",
       "Strikes_Legs Total Strikes_Attempts                             0.181205   \n",
       "Strikes_Legs Total Strikes_Landed                               0.200533   \n",
       "Strikes_Punches_Attempts                                        0.313280   \n",
       "Strikes_Punches_Landed                                          0.356674   \n",
       "Strikes_Significant Strikes_Attempts                            0.282118   \n",
       "Strikes_Significant Strikes_Landed                              0.327734   \n",
       "Strikes_Total Strikes_Attempts                                  0.389668   \n",
       "Strikes_Total Strikes_Landed                                    0.477881   \n",
       "TIP_Back Control Time                                           0.370694   \n",
       "TIP_Clinch Time                                                 0.373197   \n",
       "TIP_Control Time                                                0.687924   \n",
       "TIP_Distance Time                                               0.237043   \n",
       "TIP_Ground Control Time                                         0.670339   \n",
       "TIP_Ground Time                                                 0.570221   \n",
       "TIP_Guard Control Time                                          0.323601   \n",
       "TIP_Half Guard Control Time                                     1.000000   \n",
       "TIP_Misc. Ground Control Time                                   0.252344   \n",
       "TIP_Mount Control Time                                          0.301287   \n",
       "TIP_Neutral Time                                                0.256394   \n",
       "TIP_Side Control Time                                           0.416966   \n",
       "TIP_Standing Time                                               0.302521   \n",
       "\n",
       "                                             TIP_Misc. Ground Control Time  \\\n",
       "Grappling_Reversals_Landed                                        0.038128   \n",
       "Grappling_Standups_Landed                                         0.086311   \n",
       "Grappling_Submissions_Attempts                                    0.169711   \n",
       "Grappling_Takedowns_Attempts                                      0.271881   \n",
       "Grappling_Takedowns_Landed                                        0.330372   \n",
       "Strikes_Body Significant Strikes_Attempts                         0.146635   \n",
       "Strikes_Body Significant Strikes_Landed                           0.171803   \n",
       "Strikes_Body Total Strikes_Attempts                               0.200565   \n",
       "Strikes_Body Total Strikes_Landed                                 0.223368   \n",
       "Strikes_Clinch Body Strikes_Attempts                              0.149590   \n",
       "Strikes_Clinch Body Strikes_Landed                                0.144190   \n",
       "Strikes_Clinch Head Strikes_Attempts                              0.177678   \n",
       "Strikes_Clinch Head Strikes_Landed                                0.195696   \n",
       "Strikes_Clinch Leg Strikes_Attempts                               0.077756   \n",
       "Strikes_Clinch Leg Strikes_Landed                                 0.072970   \n",
       "Strikes_Clinch Significant Kicks_Attempts                         0.290974   \n",
       "Strikes_Clinch Significant Kicks_Landed                           0.266648   \n",
       "Strikes_Clinch Significant Punches_Attempts                       0.207673   \n",
       "Strikes_Clinch Significant Punches_Landed                         0.197428   \n",
       "Strikes_Clinch Significant Strikes_Attempts                       0.187347   \n",
       "Strikes_Clinch Significant Strikes_Landed                         0.193037   \n",
       "Strikes_Clinch Total Strikes_Attempts                             0.175973   \n",
       "Strikes_Clinch Total Strikes_Landed                               0.177275   \n",
       "Strikes_Distance Body Kicks_Attempts                              0.149037   \n",
       "Strikes_Distance Body Kicks_Landed                                0.142789   \n",
       "Strikes_Distance Body Punches_Attempts                            0.064354   \n",
       "Strikes_Distance Body Punches_Landed                              0.064894   \n",
       "Strikes_Distance Body Strikes_Attempts                            0.088889   \n",
       "Strikes_Distance Body Strikes_Landed                              0.104065   \n",
       "Strikes_Distance Head Kicks_Attempts                              0.137461   \n",
       "...                                                                    ...   \n",
       "Strikes_Head Total Strikes_Attempts                               0.217041   \n",
       "Strikes_Head Total Strikes_Landed                                 0.266577   \n",
       "Strikes_Kicks_Attempts                                            0.211894   \n",
       "Strikes_Kicks_Landed                                              0.214031   \n",
       "Strikes_Knock Down_Landed                                         0.047174   \n",
       "Strikes_Leg Total Strikes_Attempts                                0.064226   \n",
       "Strikes_Leg Total Strikes_Landed                                  0.072032   \n",
       "Strikes_Legs Significant Strikes_Attempts                         0.096962   \n",
       "Strikes_Legs Significant Strikes_Landed                           0.092591   \n",
       "Strikes_Legs Total Strikes_Attempts                               0.125122   \n",
       "Strikes_Legs Total Strikes_Landed                                 0.124943   \n",
       "Strikes_Punches_Attempts                                          0.269687   \n",
       "Strikes_Punches_Landed                                            0.300577   \n",
       "Strikes_Significant Strikes_Attempts                              0.181694   \n",
       "Strikes_Significant Strikes_Landed                                0.213922   \n",
       "Strikes_Total Strikes_Attempts                                    0.218679   \n",
       "Strikes_Total Strikes_Landed                                      0.258156   \n",
       "TIP_Back Control Time                                             0.131023   \n",
       "TIP_Clinch Time                                                   0.193632   \n",
       "TIP_Control Time                                                  0.404361   \n",
       "TIP_Distance Time                                                 0.184795   \n",
       "TIP_Ground Control Time                                           0.396202   \n",
       "TIP_Ground Time                                                   0.298688   \n",
       "TIP_Guard Control Time                                            0.132016   \n",
       "TIP_Half Guard Control Time                                       0.252344   \n",
       "TIP_Misc. Ground Control Time                                     1.000000   \n",
       "TIP_Mount Control Time                                            0.103905   \n",
       "TIP_Neutral Time                                                  0.196057   \n",
       "TIP_Side Control Time                                             0.144071   \n",
       "TIP_Standing Time                                                 0.210461   \n",
       "\n",
       "                                             TIP_Mount Control Time  \\\n",
       "Grappling_Reversals_Landed                                 0.113101   \n",
       "Grappling_Standups_Landed                                  0.150599   \n",
       "Grappling_Submissions_Attempts                             0.289659   \n",
       "Grappling_Takedowns_Attempts                               0.364750   \n",
       "Grappling_Takedowns_Landed                                 0.399862   \n",
       "Strikes_Body Significant Strikes_Attempts                  0.126734   \n",
       "Strikes_Body Significant Strikes_Landed                    0.140352   \n",
       "Strikes_Body Total Strikes_Attempts                        0.219897   \n",
       "Strikes_Body Total Strikes_Landed                          0.246257   \n",
       "Strikes_Clinch Body Strikes_Attempts                       0.140503   \n",
       "Strikes_Clinch Body Strikes_Landed                         0.136932   \n",
       "Strikes_Clinch Head Strikes_Attempts                       0.102236   \n",
       "Strikes_Clinch Head Strikes_Landed                         0.096330   \n",
       "Strikes_Clinch Leg Strikes_Attempts                        0.143030   \n",
       "Strikes_Clinch Leg Strikes_Landed                          0.136814   \n",
       "Strikes_Clinch Significant Kicks_Attempts                  0.114360   \n",
       "Strikes_Clinch Significant Kicks_Landed                    0.117305   \n",
       "Strikes_Clinch Significant Punches_Attempts                0.059817   \n",
       "Strikes_Clinch Significant Punches_Landed                  0.054185   \n",
       "Strikes_Clinch Significant Strikes_Attempts                0.141683   \n",
       "Strikes_Clinch Significant Strikes_Landed                  0.145539   \n",
       "Strikes_Clinch Total Strikes_Attempts                      0.160818   \n",
       "Strikes_Clinch Total Strikes_Landed                        0.163454   \n",
       "Strikes_Distance Body Kicks_Attempts                       0.041778   \n",
       "Strikes_Distance Body Kicks_Landed                         0.041107   \n",
       "Strikes_Distance Body Punches_Attempts                     0.001694   \n",
       "Strikes_Distance Body Punches_Landed                      -0.002942   \n",
       "Strikes_Distance Body Strikes_Attempts                     0.070739   \n",
       "Strikes_Distance Body Strikes_Landed                       0.070640   \n",
       "Strikes_Distance Head Kicks_Attempts                       0.023300   \n",
       "...                                                             ...   \n",
       "Strikes_Head Total Strikes_Attempts                        0.244718   \n",
       "Strikes_Head Total Strikes_Landed                          0.314066   \n",
       "Strikes_Kicks_Attempts                                     0.073181   \n",
       "Strikes_Kicks_Landed                                       0.086049   \n",
       "Strikes_Knock Down_Landed                                  0.014892   \n",
       "Strikes_Leg Total Strikes_Attempts                         0.121401   \n",
       "Strikes_Leg Total Strikes_Landed                           0.128280   \n",
       "Strikes_Legs Significant Strikes_Attempts                  0.116341   \n",
       "Strikes_Legs Significant Strikes_Landed                    0.122060   \n",
       "Strikes_Legs Total Strikes_Attempts                        0.128608   \n",
       "Strikes_Legs Total Strikes_Landed                          0.139101   \n",
       "Strikes_Punches_Attempts                                   0.093937   \n",
       "Strikes_Punches_Landed                                     0.089806   \n",
       "Strikes_Significant Strikes_Attempts                       0.176000   \n",
       "Strikes_Significant Strikes_Landed                         0.199530   \n",
       "Strikes_Total Strikes_Attempts                             0.245492   \n",
       "Strikes_Total Strikes_Landed                               0.300237   \n",
       "TIP_Back Control Time                                      0.255174   \n",
       "TIP_Clinch Time                                            0.212777   \n",
       "TIP_Control Time                                           0.673098   \n",
       "TIP_Distance Time                                          0.236086   \n",
       "TIP_Ground Control Time                                    0.700395   \n",
       "TIP_Ground Time                                            0.572740   \n",
       "TIP_Guard Control Time                                     0.186706   \n",
       "TIP_Half Guard Control Time                                0.301287   \n",
       "TIP_Misc. Ground Control Time                              0.103905   \n",
       "TIP_Mount Control Time                                     1.000000   \n",
       "TIP_Neutral Time                                           0.240815   \n",
       "TIP_Side Control Time                                      0.199993   \n",
       "TIP_Standing Time                                          0.264750   \n",
       "\n",
       "                                             TIP_Neutral Time  \\\n",
       "Grappling_Reversals_Landed                           0.059805   \n",
       "Grappling_Standups_Landed                            0.422128   \n",
       "Grappling_Submissions_Attempts                       0.226148   \n",
       "Grappling_Takedowns_Attempts                         0.383390   \n",
       "Grappling_Takedowns_Landed                           0.322825   \n",
       "Strikes_Body Significant Strikes_Attempts            0.720260   \n",
       "Strikes_Body Significant Strikes_Landed              0.696784   \n",
       "Strikes_Body Total Strikes_Attempts                  0.651857   \n",
       "Strikes_Body Total Strikes_Landed                    0.592009   \n",
       "Strikes_Clinch Body Strikes_Attempts                 0.404633   \n",
       "Strikes_Clinch Body Strikes_Landed                   0.409270   \n",
       "Strikes_Clinch Head Strikes_Attempts                 0.528257   \n",
       "Strikes_Clinch Head Strikes_Landed                   0.487083   \n",
       "Strikes_Clinch Leg Strikes_Attempts                  0.253589   \n",
       "Strikes_Clinch Leg Strikes_Landed                    0.249861   \n",
       "Strikes_Clinch Significant Kicks_Attempts            0.343402   \n",
       "Strikes_Clinch Significant Kicks_Landed              0.332183   \n",
       "Strikes_Clinch Significant Punches_Attempts          0.398133   \n",
       "Strikes_Clinch Significant Punches_Landed            0.369387   \n",
       "Strikes_Clinch Significant Strikes_Attempts          0.508023   \n",
       "Strikes_Clinch Significant Strikes_Landed            0.486490   \n",
       "Strikes_Clinch Total Strikes_Attempts                0.492116   \n",
       "Strikes_Clinch Total Strikes_Landed                  0.469644   \n",
       "Strikes_Distance Body Kicks_Attempts                 0.465968   \n",
       "Strikes_Distance Body Kicks_Landed                   0.468273   \n",
       "Strikes_Distance Body Punches_Attempts               0.369493   \n",
       "Strikes_Distance Body Punches_Landed                 0.372436   \n",
       "Strikes_Distance Body Strikes_Attempts               0.728546   \n",
       "Strikes_Distance Body Strikes_Landed                 0.727048   \n",
       "Strikes_Distance Head Kicks_Attempts                 0.411881   \n",
       "...                                                       ...   \n",
       "Strikes_Head Total Strikes_Attempts                  0.791085   \n",
       "Strikes_Head Total Strikes_Landed                    0.694442   \n",
       "Strikes_Kicks_Attempts                               0.507465   \n",
       "Strikes_Kicks_Landed                                 0.505437   \n",
       "Strikes_Knock Down_Landed                            0.381221   \n",
       "Strikes_Leg Total Strikes_Attempts                   0.273619   \n",
       "Strikes_Leg Total Strikes_Landed                     0.278204   \n",
       "Strikes_Legs Significant Strikes_Attempts            0.684161   \n",
       "Strikes_Legs Significant Strikes_Landed              0.688554   \n",
       "Strikes_Legs Total Strikes_Attempts                  0.648726   \n",
       "Strikes_Legs Total Strikes_Landed                    0.650219   \n",
       "Strikes_Punches_Attempts                             0.558026   \n",
       "Strikes_Punches_Landed                               0.516411   \n",
       "Strikes_Significant Strikes_Attempts                 0.834345   \n",
       "Strikes_Significant Strikes_Landed                   0.812939   \n",
       "Strikes_Total Strikes_Attempts                       0.804941   \n",
       "Strikes_Total Strikes_Landed                         0.733248   \n",
       "TIP_Back Control Time                                0.234262   \n",
       "TIP_Clinch Time                                      0.557315   \n",
       "TIP_Control Time                                     0.424969   \n",
       "TIP_Distance Time                                    0.987223   \n",
       "TIP_Ground Control Time                              0.361777   \n",
       "TIP_Ground Time                                      0.428721   \n",
       "TIP_Guard Control Time                               0.211890   \n",
       "TIP_Half Guard Control Time                          0.256394   \n",
       "TIP_Misc. Ground Control Time                        0.196057   \n",
       "TIP_Mount Control Time                               0.240815   \n",
       "TIP_Neutral Time                                     1.000000   \n",
       "TIP_Side Control Time                                0.148291   \n",
       "TIP_Standing Time                                    0.960346   \n",
       "\n",
       "                                             TIP_Side Control Time  \\\n",
       "Grappling_Reversals_Landed                                0.181353   \n",
       "Grappling_Standups_Landed                                 0.166167   \n",
       "Grappling_Submissions_Attempts                            0.248345   \n",
       "Grappling_Takedowns_Attempts                              0.347564   \n",
       "Grappling_Takedowns_Landed                                0.357171   \n",
       "Strikes_Body Significant Strikes_Attempts                 0.146073   \n",
       "Strikes_Body Significant Strikes_Landed                   0.155971   \n",
       "Strikes_Body Total Strikes_Attempts                       0.245774   \n",
       "Strikes_Body Total Strikes_Landed                         0.269996   \n",
       "Strikes_Clinch Body Strikes_Attempts                      0.082717   \n",
       "Strikes_Clinch Body Strikes_Landed                        0.077964   \n",
       "Strikes_Clinch Head Strikes_Attempts                      0.117167   \n",
       "Strikes_Clinch Head Strikes_Landed                        0.110534   \n",
       "Strikes_Clinch Leg Strikes_Attempts                       0.095864   \n",
       "Strikes_Clinch Leg Strikes_Landed                         0.090986   \n",
       "Strikes_Clinch Significant Kicks_Attempts                 0.123558   \n",
       "Strikes_Clinch Significant Kicks_Landed                   0.124880   \n",
       "Strikes_Clinch Significant Punches_Attempts               0.128775   \n",
       "Strikes_Clinch Significant Punches_Landed                 0.133235   \n",
       "Strikes_Clinch Significant Strikes_Attempts               0.126902   \n",
       "Strikes_Clinch Significant Strikes_Landed                 0.121260   \n",
       "Strikes_Clinch Total Strikes_Attempts                     0.146629   \n",
       "Strikes_Clinch Total Strikes_Landed                       0.148392   \n",
       "Strikes_Distance Body Kicks_Attempts                      0.059165   \n",
       "Strikes_Distance Body Kicks_Landed                        0.055873   \n",
       "Strikes_Distance Body Punches_Attempts                    0.008063   \n",
       "Strikes_Distance Body Punches_Landed                      0.015661   \n",
       "Strikes_Distance Body Strikes_Attempts                    0.097029   \n",
       "Strikes_Distance Body Strikes_Landed                      0.102228   \n",
       "Strikes_Distance Head Kicks_Attempts                      0.028052   \n",
       "...                                                            ...   \n",
       "Strikes_Head Total Strikes_Attempts                       0.224070   \n",
       "Strikes_Head Total Strikes_Landed                         0.281825   \n",
       "Strikes_Kicks_Attempts                                    0.091242   \n",
       "Strikes_Kicks_Landed                                      0.102471   \n",
       "Strikes_Knock Down_Landed                                 0.002062   \n",
       "Strikes_Leg Total Strikes_Attempts                        0.035659   \n",
       "Strikes_Leg Total Strikes_Landed                          0.045694   \n",
       "Strikes_Legs Significant Strikes_Attempts                 0.122026   \n",
       "Strikes_Legs Significant Strikes_Landed                   0.133471   \n",
       "Strikes_Legs Total Strikes_Attempts                       0.146870   \n",
       "Strikes_Legs Total Strikes_Landed                         0.159391   \n",
       "Strikes_Punches_Attempts                                  0.142189   \n",
       "Strikes_Punches_Landed                                    0.170514   \n",
       "Strikes_Significant Strikes_Attempts                      0.167768   \n",
       "Strikes_Significant Strikes_Landed                        0.188439   \n",
       "Strikes_Total Strikes_Attempts                            0.233437   \n",
       "Strikes_Total Strikes_Landed                              0.284908   \n",
       "TIP_Back Control Time                                     0.145276   \n",
       "TIP_Clinch Time                                           0.206022   \n",
       "TIP_Control Time                                          0.435341   \n",
       "TIP_Distance Time                                         0.129149   \n",
       "TIP_Ground Control Time                                   0.434852   \n",
       "TIP_Ground Time                                           0.415976   \n",
       "TIP_Guard Control Time                                    0.155179   \n",
       "TIP_Half Guard Control Time                               0.416966   \n",
       "TIP_Misc. Ground Control Time                             0.144071   \n",
       "TIP_Mount Control Time                                    0.199993   \n",
       "TIP_Neutral Time                                          0.148291   \n",
       "TIP_Side Control Time                                     1.000000   \n",
       "TIP_Standing Time                                         0.175963   \n",
       "\n",
       "                                             TIP_Standing Time  \n",
       "Grappling_Reversals_Landed                            0.073268  \n",
       "Grappling_Standups_Landed                             0.477618  \n",
       "Grappling_Submissions_Attempts                        0.252777  \n",
       "Grappling_Takedowns_Attempts                          0.462365  \n",
       "Grappling_Takedowns_Landed                            0.390521  \n",
       "Strikes_Body Significant Strikes_Attempts             0.750757  \n",
       "Strikes_Body Significant Strikes_Landed               0.736033  \n",
       "Strikes_Body Total Strikes_Attempts                   0.704844  \n",
       "Strikes_Body Total Strikes_Landed                     0.654406  \n",
       "Strikes_Clinch Body Strikes_Attempts                  0.476995  \n",
       "Strikes_Clinch Body Strikes_Landed                    0.477674  \n",
       "Strikes_Clinch Head Strikes_Attempts                  0.582357  \n",
       "Strikes_Clinch Head Strikes_Landed                    0.548764  \n",
       "Strikes_Clinch Leg Strikes_Attempts                   0.293375  \n",
       "Strikes_Clinch Leg Strikes_Landed                     0.285735  \n",
       "Strikes_Clinch Significant Kicks_Attempts             0.386026  \n",
       "Strikes_Clinch Significant Kicks_Landed               0.375586  \n",
       "Strikes_Clinch Significant Punches_Attempts           0.409426  \n",
       "Strikes_Clinch Significant Punches_Landed             0.378371  \n",
       "Strikes_Clinch Significant Strikes_Attempts           0.591309  \n",
       "Strikes_Clinch Significant Strikes_Landed             0.571851  \n",
       "Strikes_Clinch Total Strikes_Attempts                 0.576818  \n",
       "Strikes_Clinch Total Strikes_Landed                   0.558212  \n",
       "Strikes_Distance Body Kicks_Attempts                  0.458130  \n",
       "Strikes_Distance Body Kicks_Landed                    0.456740  \n",
       "Strikes_Distance Body Punches_Attempts                0.365077  \n",
       "Strikes_Distance Body Punches_Landed                  0.372341  \n",
       "Strikes_Distance Body Strikes_Attempts                0.727564  \n",
       "Strikes_Distance Body Strikes_Landed                  0.727569  \n",
       "Strikes_Distance Head Kicks_Attempts                  0.410434  \n",
       "...                                                        ...  \n",
       "Strikes_Head Total Strikes_Attempts                   0.819283  \n",
       "Strikes_Head Total Strikes_Landed                     0.738594  \n",
       "Strikes_Kicks_Attempts                                0.519903  \n",
       "Strikes_Kicks_Landed                                  0.519941  \n",
       "Strikes_Knock Down_Landed                             0.381031  \n",
       "Strikes_Leg Total Strikes_Attempts                    0.292480  \n",
       "Strikes_Leg Total Strikes_Landed                      0.297231  \n",
       "Strikes_Legs Significant Strikes_Attempts             0.705954  \n",
       "Strikes_Legs Significant Strikes_Landed               0.710463  \n",
       "Strikes_Legs Total Strikes_Attempts                   0.687598  \n",
       "Strikes_Legs Total Strikes_Landed                     0.691640  \n",
       "Strikes_Punches_Attempts                              0.562169  \n",
       "Strikes_Punches_Landed                                0.523081  \n",
       "Strikes_Significant Strikes_Attempts                  0.855530  \n",
       "Strikes_Significant Strikes_Landed                    0.844528  \n",
       "Strikes_Total Strikes_Attempts                        0.840636  \n",
       "Strikes_Total Strikes_Landed                          0.786261  \n",
       "TIP_Back Control Time                                 0.276422  \n",
       "TIP_Clinch Time                                       0.706438  \n",
       "TIP_Control Time                                      0.522020  \n",
       "TIP_Distance Time                                     0.943412  \n",
       "TIP_Ground Control Time                               0.410486  \n",
       "TIP_Ground Time                                       0.489674  \n",
       "TIP_Guard Control Time                                0.242285  \n",
       "TIP_Half Guard Control Time                           0.302521  \n",
       "TIP_Misc. Ground Control Time                         0.210461  \n",
       "TIP_Mount Control Time                                0.264750  \n",
       "TIP_Neutral Time                                      0.960346  \n",
       "TIP_Side Control Time                                 0.175963  \n",
       "TIP_Standing Time                                     1.000000  \n",
       "\n",
       "[87 rows x 87 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = result.corr()\n",
    "columns = np.full((corr.shape[0],), True, dtype=bool)\n",
    "for i in range(corr.shape[0]):\n",
    "    for j in range(i+1, corr.shape[0]):\n",
    "        if corr.iloc[i,j] >= 0.9:\n",
    "            if columns[j]:\n",
    "                columns[j] = False\n",
    "selected_columns = result.columns[columns]\n",
    "\n",
    "result_bis = result[selected_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we reduced the number of features, let's  have fun , first scale the data than apply PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "StandardScaler(copy=True, with_mean=True, with_std=True)"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler2 = StandardScaler()\n",
    "scaler2.fit(result_bis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_data = scaler2.transform(result_bis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "pca = PCA(n_components=5)\n",
    "pca.fit(scaled_data)\n",
    "X_pca = pca.transform(scaled_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(691, 38)"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_comp = pd.DataFrame(pca.components_,columns=result_bis.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis of PCA : \n",
    "\n",
    "After reducing the feature to 5, we can have a sense of what grouping of fighter styles are responsible of the variance of the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2aa9d780>"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,20))\n",
    "sns.heatmap(df_comp,cmap='viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could maybe have more groups but we we'll stick with 5 categories.\n",
    "\n",
    "The insight the PCA gave us  are pretty interesseting. The strength of the combination of the original features gives us a look into which  features explain the variety of fighting styles in the UFC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5692497530840318"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pca.explained_variance_ratio_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Strikes_Leg Total Strikes_Attempts           0.335641\n",
       "Strikes_Clinch Leg Strikes_Attempts          0.319116\n",
       "TIP_Mount Control Time                       0.267034\n",
       "TIP_Clinch Time                              0.187386\n",
       "Strikes_Clinch Significant Kicks_Attempts    0.187309\n",
       "Strikes_Distance Leg Kicks_Attempts          0.172245\n",
       "TIP_Control Time                             0.168497\n",
       "TIP_Back Control Time                        0.133728\n",
       "Strikes_Distance Leg Strikes_Attempts        0.123677\n",
       "Grappling_Takedowns_Attempts                 0.112012\n",
       "Name: 4, dtype: float64"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_comp.loc[4].sort_values(ascending=False)[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Strikes_Ground Significant Punches_Attempts   -0.356793\n",
       "Strikes_Ground Significant Kicks_Attempts     -0.331809\n",
       "Strikes_Ground Head Strikes_Attempts          -0.218538\n",
       "Strikes_Ground Body Strikes_Attempts          -0.187797\n",
       "TIP_Misc. Ground Control Time                 -0.184458\n",
       "Strikes_Knock Down_Landed                     -0.172343\n",
       "Strikes_Distance Head Kicks_Landed            -0.153182\n",
       "Strikes_Ground Total Strikes_Attempts         -0.137874\n",
       "Grappling_Reversals_Landed                    -0.133805\n",
       "Strikes_Distance Body Punches_Attempts        -0.123823\n",
       "Name: 4, dtype: float64"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_comp.loc[4].sort_values()[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Applying K -mean "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "    n_clusters=4, n_init=10, n_jobs=None, precompute_distances='auto',\n",
       "    random_state=None, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans.fit(X_pca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_result =pd.DataFrame(X_pca)\n",
    "df_result['label']= pd.Series(kmeans.labels_)\n",
    "df_result['f_ID']= agg.index.tolist()\n",
    "labeled_df=pd.merge(df_result,df[['R_Name','R_ID']].drop_duplicates(),how='inner',left_on='f_ID',right_on='R_ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>label</th>\n",
       "      <th>f_ID</th>\n",
       "      <th>R_Name</th>\n",
       "      <th>R_ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.613073</td>\n",
       "      <td>-0.360193</td>\n",
       "      <td>-0.623921</td>\n",
       "      <td>-0.404684</td>\n",
       "      <td>-0.921742</td>\n",
       "      <td>1</td>\n",
       "      <td>129</td>\n",
       "      <td>Dan Henderson</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.604400</td>\n",
       "      <td>-1.406730</td>\n",
       "      <td>1.465305</td>\n",
       "      <td>0.825537</td>\n",
       "      <td>0.026747</td>\n",
       "      <td>1</td>\n",
       "      <td>235</td>\n",
       "      <td>Anderson Silva</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-3.650250</td>\n",
       "      <td>-0.366530</td>\n",
       "      <td>-0.883760</td>\n",
       "      <td>-0.268709</td>\n",
       "      <td>0.047427</td>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>Minotauro Nogueira</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-2.919247</td>\n",
       "      <td>-0.423066</td>\n",
       "      <td>-0.049043</td>\n",
       "      <td>-0.200837</td>\n",
       "      <td>-0.168600</td>\n",
       "      <td>1</td>\n",
       "      <td>295</td>\n",
       "      <td>Vitor Belfort</td>\n",
       "      <td>295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-2.156389</td>\n",
       "      <td>0.706395</td>\n",
       "      <td>-0.725014</td>\n",
       "      <td>-0.213826</td>\n",
       "      <td>0.371471</td>\n",
       "      <td>1</td>\n",
       "      <td>306</td>\n",
       "      <td>Soa Palelei</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4  label  f_ID  \\\n",
       "0 -1.613073 -0.360193 -0.623921 -0.404684 -0.921742      1   129   \n",
       "1 -1.604400 -1.406730  1.465305  0.825537  0.026747      1   235   \n",
       "2 -3.650250 -0.366530 -0.883760 -0.268709  0.047427      1   272   \n",
       "3 -2.919247 -0.423066 -0.049043 -0.200837 -0.168600      1   295   \n",
       "4 -2.156389  0.706395 -0.725014 -0.213826  0.371471      1   306   \n",
       "\n",
       "               R_Name  R_ID  \n",
       "0       Dan Henderson   129  \n",
       "1      Anderson Silva   235  \n",
       "2  Minotauro Nogueira   272  \n",
       "3       Vitor Belfort   295  \n",
       "4         Soa Palelei   306  "
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labeled_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a350bf198>"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df_result.iloc[:,0],df_result.iloc[:,1],c=kmeans.labels_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Clusters in 3D "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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