Section 9-50 Python for Data Visualization - Seaborn - Matrix Plots.ipynb

{
 "cells":[
  {
   "cell_type":"code",
   "source":[
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "tips = sns.load_dataset('tips')\n",
    "flights = sns.load_dataset('flights')\n",
    "tips.head()"
   ],
   "execution_count":2,
   "outputs":[
    {
     "data":{
      "text\/html":[
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "<\/style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th><\/th>\n",
       "      <th>total_bill<\/th>\n",
       "      <th>tip<\/th>\n",
       "      <th>sex<\/th>\n",
       "      <th>smoker<\/th>\n",
       "      <th>day<\/th>\n",
       "      <th>time<\/th>\n",
       "      <th>size<\/th>\n",
       "    <\/tr>\n",
       "  <\/thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0<\/th>\n",
       "      <td>16.99<\/td>\n",
       "      <td>1.01<\/td>\n",
       "      <td>Female<\/td>\n",
       "      <td>No<\/td>\n",
       "      <td>Sun<\/td>\n",
       "      <td>Dinner<\/td>\n",
       "      <td>2<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>1<\/th>\n",
       "      <td>10.34<\/td>\n",
       "      <td>1.66<\/td>\n",
       "      <td>Male<\/td>\n",
       "      <td>No<\/td>\n",
       "      <td>Sun<\/td>\n",
       "      <td>Dinner<\/td>\n",
       "      <td>3<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>2<\/th>\n",
       "      <td>21.01<\/td>\n",
       "      <td>3.50<\/td>\n",
       "      <td>Male<\/td>\n",
       "      <td>No<\/td>\n",
       "      <td>Sun<\/td>\n",
       "      <td>Dinner<\/td>\n",
       "      <td>3<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>3<\/th>\n",
       "      <td>23.68<\/td>\n",
       "      <td>3.31<\/td>\n",
       "      <td>Male<\/td>\n",
       "      <td>No<\/td>\n",
       "      <td>Sun<\/td>\n",
       "      <td>Dinner<\/td>\n",
       "      <td>2<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>4<\/th>\n",
       "      <td>24.59<\/td>\n",
       "      <td>3.61<\/td>\n",
       "      <td>Female<\/td>\n",
       "      <td>No<\/td>\n",
       "      <td>Sun<\/td>\n",
       "      <td>Dinner<\/td>\n",
       "      <td>4<\/td>\n",
       "    <\/tr>\n",
       "  <\/tbody>\n",
       "<\/table>\n",
       "<\/div>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"qaP5ibyFdm4zUeGurLMzWg",
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     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "flights.head()"
   ],
   "execution_count":3,
   "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>year<\/th>\n",
       "      <th>month<\/th>\n",
       "      <th>passengers<\/th>\n",
       "    <\/tr>\n",
       "  <\/thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0<\/th>\n",
       "      <td>1949<\/td>\n",
       "      <td>Jan<\/td>\n",
       "      <td>112<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>1<\/th>\n",
       "      <td>1949<\/td>\n",
       "      <td>Feb<\/td>\n",
       "      <td>118<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>2<\/th>\n",
       "      <td>1949<\/td>\n",
       "      <td>Mar<\/td>\n",
       "      <td>132<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>3<\/th>\n",
       "      <td>1949<\/td>\n",
       "      <td>Apr<\/td>\n",
       "      <td>129<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>4<\/th>\n",
       "      <td>1949<\/td>\n",
       "      <td>May<\/td>\n",
       "      <td>121<\/td>\n",
       "    <\/tr>\n",
       "  <\/tbody>\n",
       "<\/table>\n",
       "<\/div>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"W5Vgpk2SLeIbP4y0HdjPqg",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "tc = tips.corr()\n",
    "tc"
   ],
   "execution_count":5,
   "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>total_bill<\/th>\n",
       "      <th>tip<\/th>\n",
       "      <th>size<\/th>\n",
       "    <\/tr>\n",
       "  <\/thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_bill<\/th>\n",
       "      <td>1.000000<\/td>\n",
       "      <td>0.675734<\/td>\n",
       "      <td>0.598315<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>tip<\/th>\n",
       "      <td>0.675734<\/td>\n",
       "      <td>1.000000<\/td>\n",
       "      <td>0.489299<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>size<\/th>\n",
       "      <td>0.598315<\/td>\n",
       "      <td>0.489299<\/td>\n",
       "      <td>1.000000<\/td>\n",
       "    <\/tr>\n",
       "  <\/tbody>\n",
       "<\/table>\n",
       "<\/div>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"B4OLPSQ5LhhbRpVWDSRYce",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(tc)"
   ],
   "execution_count":6,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"AJmCiaCLLpM3WlPgQvMyYt",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(tc, annot=True)"
   ],
   "execution_count":7,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"OmulTeP1QK1SAMA0EZnrBb",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(tc, annot=True, cmap='coolwarm')"
   ],
   "execution_count":8,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"ApM5A5tL18PHqqsQHdm4vK",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "fp = flights.pivot_table(index='month', columns='year', values='passengers')\n",
    "fp"
   ],
   "execution_count":11,
   "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>year<\/th>\n",
       "      <th>1949<\/th>\n",
       "      <th>1950<\/th>\n",
       "      <th>1951<\/th>\n",
       "      <th>1952<\/th>\n",
       "      <th>1953<\/th>\n",
       "      <th>1954<\/th>\n",
       "      <th>1955<\/th>\n",
       "      <th>1956<\/th>\n",
       "      <th>1957<\/th>\n",
       "      <th>1958<\/th>\n",
       "      <th>1959<\/th>\n",
       "      <th>1960<\/th>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>month<\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "      <th><\/th>\n",
       "    <\/tr>\n",
       "  <\/thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Jan<\/th>\n",
       "      <td>112<\/td>\n",
       "      <td>115<\/td>\n",
       "      <td>145<\/td>\n",
       "      <td>171<\/td>\n",
       "      <td>196<\/td>\n",
       "      <td>204<\/td>\n",
       "      <td>242<\/td>\n",
       "      <td>284<\/td>\n",
       "      <td>315<\/td>\n",
       "      <td>340<\/td>\n",
       "      <td>360<\/td>\n",
       "      <td>417<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Feb<\/th>\n",
       "      <td>118<\/td>\n",
       "      <td>126<\/td>\n",
       "      <td>150<\/td>\n",
       "      <td>180<\/td>\n",
       "      <td>196<\/td>\n",
       "      <td>188<\/td>\n",
       "      <td>233<\/td>\n",
       "      <td>277<\/td>\n",
       "      <td>301<\/td>\n",
       "      <td>318<\/td>\n",
       "      <td>342<\/td>\n",
       "      <td>391<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Mar<\/th>\n",
       "      <td>132<\/td>\n",
       "      <td>141<\/td>\n",
       "      <td>178<\/td>\n",
       "      <td>193<\/td>\n",
       "      <td>236<\/td>\n",
       "      <td>235<\/td>\n",
       "      <td>267<\/td>\n",
       "      <td>317<\/td>\n",
       "      <td>356<\/td>\n",
       "      <td>362<\/td>\n",
       "      <td>406<\/td>\n",
       "      <td>419<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Apr<\/th>\n",
       "      <td>129<\/td>\n",
       "      <td>135<\/td>\n",
       "      <td>163<\/td>\n",
       "      <td>181<\/td>\n",
       "      <td>235<\/td>\n",
       "      <td>227<\/td>\n",
       "      <td>269<\/td>\n",
       "      <td>313<\/td>\n",
       "      <td>348<\/td>\n",
       "      <td>348<\/td>\n",
       "      <td>396<\/td>\n",
       "      <td>461<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>May<\/th>\n",
       "      <td>121<\/td>\n",
       "      <td>125<\/td>\n",
       "      <td>172<\/td>\n",
       "      <td>183<\/td>\n",
       "      <td>229<\/td>\n",
       "      <td>234<\/td>\n",
       "      <td>270<\/td>\n",
       "      <td>318<\/td>\n",
       "      <td>355<\/td>\n",
       "      <td>363<\/td>\n",
       "      <td>420<\/td>\n",
       "      <td>472<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Jun<\/th>\n",
       "      <td>135<\/td>\n",
       "      <td>149<\/td>\n",
       "      <td>178<\/td>\n",
       "      <td>218<\/td>\n",
       "      <td>243<\/td>\n",
       "      <td>264<\/td>\n",
       "      <td>315<\/td>\n",
       "      <td>374<\/td>\n",
       "      <td>422<\/td>\n",
       "      <td>435<\/td>\n",
       "      <td>472<\/td>\n",
       "      <td>535<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Jul<\/th>\n",
       "      <td>148<\/td>\n",
       "      <td>170<\/td>\n",
       "      <td>199<\/td>\n",
       "      <td>230<\/td>\n",
       "      <td>264<\/td>\n",
       "      <td>302<\/td>\n",
       "      <td>364<\/td>\n",
       "      <td>413<\/td>\n",
       "      <td>465<\/td>\n",
       "      <td>491<\/td>\n",
       "      <td>548<\/td>\n",
       "      <td>622<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Aug<\/th>\n",
       "      <td>148<\/td>\n",
       "      <td>170<\/td>\n",
       "      <td>199<\/td>\n",
       "      <td>242<\/td>\n",
       "      <td>272<\/td>\n",
       "      <td>293<\/td>\n",
       "      <td>347<\/td>\n",
       "      <td>405<\/td>\n",
       "      <td>467<\/td>\n",
       "      <td>505<\/td>\n",
       "      <td>559<\/td>\n",
       "      <td>606<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Sep<\/th>\n",
       "      <td>136<\/td>\n",
       "      <td>158<\/td>\n",
       "      <td>184<\/td>\n",
       "      <td>209<\/td>\n",
       "      <td>237<\/td>\n",
       "      <td>259<\/td>\n",
       "      <td>312<\/td>\n",
       "      <td>355<\/td>\n",
       "      <td>404<\/td>\n",
       "      <td>404<\/td>\n",
       "      <td>463<\/td>\n",
       "      <td>508<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Oct<\/th>\n",
       "      <td>119<\/td>\n",
       "      <td>133<\/td>\n",
       "      <td>162<\/td>\n",
       "      <td>191<\/td>\n",
       "      <td>211<\/td>\n",
       "      <td>229<\/td>\n",
       "      <td>274<\/td>\n",
       "      <td>306<\/td>\n",
       "      <td>347<\/td>\n",
       "      <td>359<\/td>\n",
       "      <td>407<\/td>\n",
       "      <td>461<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Nov<\/th>\n",
       "      <td>104<\/td>\n",
       "      <td>114<\/td>\n",
       "      <td>146<\/td>\n",
       "      <td>172<\/td>\n",
       "      <td>180<\/td>\n",
       "      <td>203<\/td>\n",
       "      <td>237<\/td>\n",
       "      <td>271<\/td>\n",
       "      <td>305<\/td>\n",
       "      <td>310<\/td>\n",
       "      <td>362<\/td>\n",
       "      <td>390<\/td>\n",
       "    <\/tr>\n",
       "    <tr>\n",
       "      <th>Dec<\/th>\n",
       "      <td>118<\/td>\n",
       "      <td>140<\/td>\n",
       "      <td>166<\/td>\n",
       "      <td>194<\/td>\n",
       "      <td>201<\/td>\n",
       "      <td>229<\/td>\n",
       "      <td>278<\/td>\n",
       "      <td>306<\/td>\n",
       "      <td>336<\/td>\n",
       "      <td>337<\/td>\n",
       "      <td>405<\/td>\n",
       "      <td>432<\/td>\n",
       "    <\/tr>\n",
       "  <\/tbody>\n",
       "<\/table>\n",
       "<\/div>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"FPCri30VLszeAFvjmR8aa7",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(fp)"
   ],
   "execution_count":12,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"5WzTuRLVmiJoAr6aQdbcAo",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(fp, cmap='magma', linecolor='white', linewidths=1)"
   ],
   "execution_count":14,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"2YUgpq8sPVRpfJrU0xYGBZ",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(fp, cmap='magma', linecolor='white', linewidths=3)"
   ],
   "execution_count":15,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"O6zD1dV5Zer3TdyEkfiUjZ",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.heatmap(fp, cmap='coolwarm', linecolor='black', linewidths=3)"
   ],
   "execution_count":16,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"FUkJ9ebpvU7jVLiRz6fguW",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.clustermap(fp)"
   ],
   "execution_count":17,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<seaborn.matrix.ClusterGrid at 0x7f22a492a3d0>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"JHSV86bK2f1gEL7D9oKYf6",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.clustermap(fp, cmap='coolwarm')"
   ],
   "execution_count":18,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<seaborn.matrix.ClusterGrid at 0x7f22a405ec70>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"9920MA1DbS09cglAcYhkpi",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    "sns.clustermap(fp, cmap='coolwarm', standard_scale=1)"
   ],
   "execution_count":19,
   "outputs":[
    {
     "data":{
      "text\/plain":[
       "<seaborn.matrix.ClusterGrid at 0x7f229d8f66d0>"
      ]
     },
     "metadata":{
      
     },
     "output_type":"display_data"
    },
    {
     "data":{
      "image\/png":[
       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ADADBJVXVUd3+mu99XVfdPcrskleQj3f2tsca1xAIAgKl64+D5a7v77O4+a8xynCjIAABMVw2e32qjBlWQAQCYqr6K56OyBhkAgKm6a1V9LWszydedPc9su7v70DEGVZABAJik7t6yiHEtsQAAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYcB9k5vaR956z6Ahz+f4HfP+iI8ztoq9+Y9ER5rLtetdZdIS5ffVLFy06wlwO\/a4bLDrC3L516bcWHWEuBx504KIjzO2Ms3YtOsKm9\/Y3ri46wlwuu\/Sbi46wD26x6AD\/gRlkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGDAV03vo5WVleOSbFt0jpmjFx0AAGCzUJD33bbV1dUdiw6RJCsrKzsWnQEAYLOwxAIAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGHCbNwAAJqmqDkry01n7zod\/763d\/cwxx1WQAQCYqv+T5MIkpye5dKMGVZABAJiqI7v7wRs9qIK8iY31ddjbvue5631KAGA\/VVXbk2wf7NrZ3Ttnz\/+pqu7c3R\/cyEwK8uY2ytdh3\/ehpx6\/3ucEAPZPszK88ypevm+SX6iqT2ZtiUWtHdJ3GTOTggwAwFT9+CIGVZABAJik7v50klTVTTLCstGr4j7IAABMUlU9rKo+luSTSU5N8qkkbxl7XAUZAICpelaS+yT5aHffMskxSf5l7EEVZAAApupb3f3lJAdU1QHd\/fYkK2MPag0yAABT9dWqun6SdyX566r6QpJLxh7UDDIAAFP1sCRfT\/LUJG9Ncm6Sh4w9qBlkAAAmpaouStJ77p79+Yyq+niS3+nuU8YYX0EGAGBSuvuQq3qtqrYkuVOSv579ue4ssQAAYGl09+Xd\/YEkLxhrDAUZAICl090vHuvcCjIAAAwoyAAAMKAgAwDAgIIMAAADCjIAAAwoyAAAMKAgAwDAgIIMAAADCjIAAAxsXXQA1sWulZWVHVey\/+gxBtty4IFjnHY0Z7z9jEVH2PRuf5\/vW3SEuZ3\/kU8tOsJcDjr4uouOMLeq5ZqDOfyIGy86wtz+6c3vXXQEJmbrQddZdIRNQUHeBFZXV0+4sv1XUZoBALgay\/XPewAAGJmCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAACTVlVbNnI8BRkAgKn7ZFXtrKpjqqrGHmzr2AOwULtWVlZ2rPdJDz7q+et9SgBgP1VV25NsH+za2d0793jb7ZM8JMmvJHlpVf1\/SV7T3e8eI5OCvImtrq6eMMZ57\/+Ifzp+jPMCAPufWRnesxDv+Z6vJ3ldktdV1Q2TPC\/JqUlGWXphiQUAAJNXVfevqv+d5PQk25L8l7HGMoMMAMCkVdWnkrw\/a7PIv9Xdl4w5noIMAMDU3aW7v7ZRg1liAQDA1B1aVW+oqi\/MHq+vqiPHGkxBBgBg6l6e5MQkN5s93jTbNwoFGQCAqbtxd7+8uy+bPf4iyY3HGkxBBgBg6r5cVY+tqi2zx2OTfHmswRRkAACm7glZu63bvyb5fJJHJnn8WIO5iwUAAJPW3Z9O8rCNGk9BBgBgkqrqGVfzcnf3s8YYV0EGAGCqruwLQQ5O8sQkhydRkAEA2H9093N3P6+qQ5I8NWtrj1+T5LlXddy1pSADADBZVfVdSZ6e5GeTvCLJ3bv7gjHHVJABAJikqvqfSR6RZGeSO3f3xRsxrtu8AQAwVb+RtW\/O+90kn6uqr80eF1XV18Ya1AwyAACT1N0Lmcw1gwwAAAMKMgAADCjIAAAwoCADAMDAPl+kt7KyclySbeuYZdkcvegAi\/Jfn\/aDi44wlwsv7kVHmNv7T\/\/SoiPM5fE\/tXy\/Cj7zIz+86Ahz2XLA8v0cf\/5LtegIcznk4OXKmyTHPuw9i44wl8u3HbzoCHP73OF3WXSEuRzxpTMWHWFTuDZ3sdi2urq6Y72CLJuVlZUdi84AAMD6s8QCAAAGFGQAABhQkAEAYEBBBgCAAQUZAAAGFGQAABhQkAEAYEBBBgCAAQUZAAAGFGQAABhQkAEAYEBBBgCAAQUZAAAGFGQAABhQkAEAYEBBBgCAAQUZAAAGFGQAABhQkAEAYEBBBgBgsqpqS1W9fSPHVJABAJis7r48yRVVdYONGnPrRg3E+lhZWTkuybZFZnjqH68ucngAYBOpqu1Jtg927ezunXu87eIkH6yqv09yye6d3f1rY2RSkJfPttXV1R2LDPCX78zxixwfANg8ZmV4z0K8p7+bPTaEggwAwKR19ys2cjwFGQCASauq2yT5wyR3zGCpaXffaozxXKQHAMDUvTzJi5JcluQBSV6Z5K\/GGkxBBgBg6q7b3ackqe7+dHfvSPKTYw1miQUAAFN3aVUdkORjVfWUJOcnuf5Yg5lBBgBg6p6a5HpJfi3JPZL8XJLHjTWYGWQAACatu0+bPb04yePHHk9BBgBgkqrqxKt7vbsfNsa4CjIAAFP1A0k+m+TVSd6TpDZiUAUZAICpummSByV5dJLHJHlzkld399ljDuoiPQAAJqm7L+\/ut3b345LcJ8m5Sd4xu5PFaMwgAwAwWVV1UNbuefzoJEcneX6SN4w5poIMAMAkVdUrk9wpyUlJfq+7z9qIcRVkAACm6rFJLsnafZB\/rerfr9GrJN3dh44xqIIMAMAkdfdCrpdzkR4AAAwoyAAAMKAgAwDAgIIMAAADCjIAAAy4iwVz+\/quRSeYzze\/tegE87v\/D9940RHmcsGuyxYdYW6f++KiE8znetuWbz7j8MN60RHm8q3l+zHOW7c9ctER5nLFcv1IrPnSogPM57RvHrnoCHN77KIDXInl+40LAAAjUpABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAmq6pOuSb71tPWMU\/O9KysrByXZNu1Occv\/sHqOqUBAPZ3VbU9yfbBrp3dvbOqtiW5XpIbVdUNk9Ts9UOTHDFmJgV5\/7NtdXV1x7U5wYvfluPXKQsAsJ\/r7p1Jdl7JS7+U5GlJbpbk9Hy7IH8tyZ+OmUlBBgBgcrr7eUmeV1W\/2t0v2MixrUEGAGDKrqiqw3ZvVNUNq+rJYw6oIAMAMGW\/2N1f3b3R3Rck+cUxB1SQAQCYsi1VtXv9capqS5LrjDmgNcgAAEzZyUleW1Uvnm0\/KclbxxxQQQYAYMr+e9aWVOxed3xykpeOOaCCDADA5FTV1iR\/kOTxST47231Ukk9kbZnw5WONbQ0yAABT9D+TfFeSW3X33bv77klumeQGSZ4z5sAKMgAAU\/SQrN3B4qLdO2bPfznJT4w5sCUW+27XysrKjgWMe\/QCxgQA2Gjd3X0lOy+vqv+wfz0pyPtodXX1hEWMu6BSDgCw0c6pqp\/v7lcOd1bVY5N8eMyBFWQAAKboV5L8XVU9Icnps30rSa6b5KfGHFhBBgBgcrr7\/CT3rqoHJvm+2e6TuvuUscdWkAEAmKzu\/ock\/7CRY7qLBQAADCjIAAAwoCADAMCAggwAAAMKMgAADCjIAAAw4DZvS25lZeW4JNvmOOToazvmoQeP+u2O6+5977tg0RHm9q+HXXfREebyw\/c6cNERNr1\/\/cK3Fh1hbt99+y2LjjCXr3yzFh1hbruWLPOnzr9i0RHm9rB7fHHREebyb984bNER9sE8NWZjKMjLb9vq6uqOa\/pmX1UNAHD1LLEAAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQCYtKr6g6o6bLB9w6r6\/bHGU5ABAJi6H+\/ur+7e6O4LkvzEWINtHevETNaulZWVHdfmBL\/xvNPWKQoAsL+rqu1Jtg927ezunXu8bUtVHdTdl86OuW6Sg8bKpCDvZ1ZXV0+4tud49T\/28euRBQBgVob3LMR7+uskp1TVy2fbj0\/yirEyKcgAAExadz+7qj6Q5Ednu57V3SePNZ6CDADAMvhQksu6+\/9W1fWq6pDuvmiMgVykBwDApFXVLyb52yQvnu06IskbxxpPQQYAYOp+JckPJflaknT3x5LcZKzBFGQAAKbu0u7+5u6NqtqapMcaTEEGAGDqTq2q\/5bkulX1oCR\/k+RNYw3mIj0AAKbuuCRPTPLBJL+U5KQkL9nbQVX1g0mOzqDzdvcr93acggwAwKR19xVV9cYkb+zuL16TY6rqL5PcOskZSS7ffaokCjIAAMupqirJ8UmektnS4Kq6PMkLuvuZezl8Jckdu3vutcrWIAMAMFW\/nrW7V9yzu7+ru78ryb2T\/FBV\/fpejj0ryU33ZVAzyAAATNXPJXlQd39p947u\/kRVPTbJ25L8rz0PqKo3ZW0pxSFJzqmq9ya5dHD8w\/Y2qIIMAMBUHTgsx7t19xer6sCrOOY513ZQBRkAgKn65ryvdfepSVJVz+7u3x6+VlXPTnLq3ga1BhkAgKm6a1V97UoeFyW5816OfdCV7PvxazKoGWQAACapu7fMe0xV\/XKSJye5VVWdOXjpkCT\/dE3OoSADALCZvCrJW5L8Yda+YGS3i7r7K9fkBAoyAACbRndfmOTCJI+uqi1Jvjtrnff6VXX97v7M3s6hIAMAsOlU1VOS7Ejyb0mumO3uJHfZ27EKMgAAm9HTktyuu78874HuYgEAwGb02awttZibGeTls2tlZWXHYPvojQ5w6ru\/utFDXiuH3\/jgRUeY2+2\/96BFR5jLNy+7Yu9vmpgbHlqLjjCX61\/vqu6HP13\/do0uhZmOr+\/qRUeY2yNu8o+LjjCXA7ddvOgIc\/vnSx646AhzufAbqt3AJ5K8o6renO\/8Jr0\/3tuB\/haXzOrq6gnD7T3KMgAAaz4ze1xn9rjGFGQAADad7v69JKmq68+2r\/FHGNYgAwCw6VTVnarq\/UnOTnJ2VZ1eVd93TY5VkAEA2Ix2Jnl6d9+iu2+R5DeS\/Pk1OVBBBgBgMzq4u9++e6O735HkGl25bw0yAACb0Seq6r8n+cvZ9mOzdmeLvTKDDADAZvSEJDdO8vrZ40ZJHn9NDlSQAQDYjG6d5OZZ67vXSXJMkndekwMtsQAAYDP66yS\/meSsJHN9o5WCDADAZvTF7n7TvhyoIAMAsBkdX1UvSXJKvvOrpv9ubwcqyAAAbEaPT3L7JAfm20ssOomCDADAfume3X27fTnQXSwAANiM\/qmq7rgvB5pBBgBgM7pPkjOq6pNZW4NcSbq777K3AxVkAAA2owfv64EKMgAAm053f3pfj7UGGQAABhRkAAAYUJABAJikqjqgqn5wo8dVkAEAmKTuviLJCzd6XBfpbVIrKyvHJdk2yrl\/5u\/HOC0AsB+qqu1Jtg927ezunYPtU6rqp5P8XXf3RmRSkDevbaurqzvGOPGTnn3B8WOcFwDY\/8zK8M6recsvJXl6ksur6hv59v2MDx0rk4IMAMBkdfchGz2mggwAwKRV1SOS3DdJJ3lXd79xzPFcpAcAwGRV1f9O8qQkH0xyVpInVdWoF+6ZQQYAYMoemOQOuy\/Qq6pXJDl7zAHNIAMAMGXnJjlqsH3z2b7RmEEGAGDKDknyoap672z7nklOq6oTk6S7H7beAyrIAABM2TMGzyvJ\/ZIcm2S0284qyAAATFZ3n1pVd0vymCQ\/k+STSf6su08da0wFGQCAyamq2yZ59OzxpSSvTVLd\/YCxx1aQAQCYog8neVeSh3T3uUlSVb++EQO7iwUAAFP0iCSfT\/L2qvrzqjoma2uQR6cgAwAwOd39xu4+Nsntk7w9ydOS3KSqXlRVPzbm2AoyAACT1d2XdPeruvuhSY5M8v4kvz3mmAoyAABLobsv6O6d3X3MmOMoyAAAMKAgAwDAgIIMAAADCjIAAAwoyAAAMKAgAwDAgK+aXn67VlZWdlzJ\/qPHGvC6Bx841qlHccTNDlp0hLkddvDli44wl8Ouu2vREeZ22eXXXXSEuVzRG\/LlUevqwouXK\/Ptjlqu\/98lyfv6nouOMJc7HvKRRUeY26n\/2IuOMJcn3v+Ti46wD2696AD\/gYK85FZXV0+4sv1XUZoBANgLSywAAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQCASauqO2\/keAoyAABT97+r6r1V9eSqusHYgynIAABMWnffL8nPJrl5ktOr6lVV9aCxxts61olZuF0rKys7xjjx\/X7hHWOcFgDYD1XV9iTbB7t2dvfOPd\/X3R+rqt9Nsprk+UnuVlWV5L9199+tZyYFeZNaXV09Yaxz\/\/qfXnz8WOcGAPYvszL8HwrxUFXdJcnjk\/xkkr9P8tDufl9V3SzJPydRkAEA2K+8IMlLsjZb\/I3dO7v7c7NZ5XWlIAMAMGndff+ree0v13s8BRkAgEmrqtsk+cMkd0yybff+7r7VGOO5iwUAAFP38iQvSnJZkgckeWWSvxprMAUZAICpu253n5KkuvvT3b0jaxfsjcISCwAApu7Sqjogyceq6ilJzk9y\/bEGM4MMAMDUPTXJ9ZL8WpJ7JPm5JI8bazAzyAAATFp3nzZ7enHW7oc8KgUZAIBJqqoTr+717n7YGOMqyAAATNUPJPlsklcneU+S2ohBFWQAAKbqpkkelOTRSR6T5M1JXt3dZ485qIv0AACYpO6+vLvf2t2PS3KfJOcmecfsThajMYMMAMBkVdVBWbvn8aOTHJ3k+UneMOaYCjIAAJNUVa9McqckJyX5ve4+ayPGVZABAJiqxya5JGv3Qf61qn+\/Rq+SdHcfOsagCjIAAJPU3Qu5Xs5FegAAMKAgAwDAgIIMAAADCjIAAAy4SI+5HffZX150hLmc\/4ZPLjrC3D7\/zi8uOsJcLlp0gH1w8KIDzGnrocv36\/qQr1226AhzueFdR7kYflQXfOBri44wly\/\/p5stOsLcfvDkzy06wlw+tOgA++BW3\/rIoiP8B2aQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAICBrYsOAAAAQ1V196t7vbvfN+b4CjIAAFPz3Kt5rZM8cMzBFWQAACalux+wyPEV5P3IysrKcUm2XdvzvPmYO6xDGgCApKq2J9k+2LWzu3fOXvv5Kzumu185ZiYFef+ybXV1dce1Pcm\/\/fbPHb8OWQAAMivDO6\/i5XsOnm9LckyS9yVRkAEA2P90968Ot6vqsCSvGXtct3kDAGBZXJLklmMPYgYZAIBJqqo3Ze2uFUmyJckdk7xu7HEVZAAApuo5+XZBvizJp7v7\/LEHVZABAJiUqrooa8W49nipq+rSJB9P8jvdfcoY4yvIAABMSncfclWvVdWWJHdK8tezP9edi\/QAAFga3X15d38gyQvGGkNBBgBg6XT3i8c6t4IMAAADCjIAAAwoyAAAMKAgAwDAgIIMAAADCjIAAAwoyAAAMKAgAwDAgIIMAAADCjIAAAwoyAAAMKAgAwDAwNZFB5iKlZWV45JsW3SOkR29HidZ\/eP3rsdpuBo3ve+NFh1hLlsP2rLoCHPbdeGli44wly+tfnXREeb2fY+7\/aIjzOXsV3x40RE2vc+c\/LlFR4BrREH+tm2rq6s7Fh1iTCsrKzsWnQEAYOossQAAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAYUJABAGBAQQYAgAEFGQAABhRkAAAY2LroAAAAcFWq6k1Jeo\/dFyZZTfLi7t613mOaQQYAYMo+keTiJH8+e3wtyUVJbjvbXndmkPcvu1ZWVnZc25P83joEAQBIkqranmT7YNfO7t452P7B7r7nYPtNVXVad9+zqs4eI5OCvB9ZXV09YT3O8+YDb3f8epwHAGBWhndezVuuX1VHdfdnkqSqjkpy\/dlr3xwjk4IMAMCU\/UaSd1fVx5NUklsmeXJVHZzkFWMMqCADADBZ3X1SVd0mye1nuz4yuDDvT8YYU0EGAGCyqurn99h116pKd79yrDEVZAAApmx4gd62JMckeV8SBRkAgP1Pd\/\/qcLuqDkvymjHHdB9kAACWySVJbjXmAGaQAQCYrD2+SW9Lkjsked2YYyrIAABM2XMGzy\/LWkl+1JgDKsgAAExWd59aVXdL8pgkP5Pkk0leP+aYCjIAAJNTVbdN8ujZ40tJXpukuvsBY4+tIAMAMEUfTvKuJA\/p7nOTpKp+fSMGdhcLAACm6BFJPp\/k7VX151V1TNa+anp0CjIAAJPT3W\/s7mOz9hXTb0\/ytCQ3qaoXVdWPjTm2ggwAwGR19yXd\/arufmiSI5O8P8lvjzmmggwAwFLo7gu6e2d3HzPmOAoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMXJtv0tu1srKyY72CTMDRiw6wLI5583GLjjCXvs62RUeYWx94nUVHmMsBF3910RHm1l\/8t0VHmE9fsegEc+tb3WHREeZy+JMOXnSEuR34ybMXHWE+By3f7+MrDr\/poiPM5Yqty\/Xfj6na54K8urp6wnoGWbRNVvYBANhHllgAAMCAggwAAAMKMgAADCjIAAAwoCADAMCAggwAAAMKMgAADCjIAAAwoCADAMCAggwAAAMKMgAADCjIAAAwoCADAMCAggwAAAMKMgAADCjIAAAwoCADAMCAggwAAANbFx0AAACuTFXdNslvJblFBr21ux845rgKMgAAU\/U3Sf4syZ8nuXyjBlWQN6mVlZXjkmwb49zv\/oNfGeO0AMB+qKq2J9k+2LWzu3fOnl\/W3S\/a6EwK8ua1bXV1dccYJ971tpcfP8Z5AYD9z6wM77yKl99UVU9O8oYklw6O+cqYmRRkAACm6nGzP39rsK+T3GrMQRVkAAAmqbtvuYhxFWQAACapqn7+yvZ39yvHHFdBBgBgqu45eL4tyTFJ3pdEQQYAYP\/T3b863K6qw5K8ZuxxfZMeAADL4pIko69LNoMMAMAkVdWbsnbXiiTZkuSOSV439rgKMgAAU\/WcfLsgX5bk0919\/tiDKsgAAExKVV2UtWJce7zUVXVpko8n+Z3uPmWM8RVkAAAmpbsPuarXqmpLkjsl+evZn+vORXoAACyN7r68uz+Q5AVjjaEgAwCwdLr7xWOdW0EGAIABBRkAAAYUZAAAGFCQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgwFdNf9uulZWVHYsOsY6OHuvEFxx1t7FOPYqvHXj4oiPM7aD+xqIjzOXGddaiI8zt8hsftegIc9ly6SWLjjC3K7ZeZ9ER5rLrujdcdIS5bd21XL8rrjjy1ouOMLfL3n3KoiPM5TpH3GzREeZ374cuOsF\/oCDPrK6unrDoDOtpk5V9AIANY4kFAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAwICCDAAAAwoyAAAMKMgAADCgIAMAMHlVdWhVHbIRYynIAABMVlXds6o+mOTMJGdV1Qeq6h5jjrl1zJMDAMC19NIkT+7udyVJVd03ycuT3GWsARXkzWvXysrKjjFO\/Ka\/eskYpwUA9kNVtT3J9sGund29c7B9+e5ynCTd\/e6qumzMTAryJrW6unrCWOf+\/IfPOH6scwMA+5dZGd55NW85tapenOTVSTrJo5K8o6ruPjv+feudSUEGAGDK7jr7c88JurtlrTA\/cL0HVJABAJis7n7ARo\/pLhYAAExWVX13Vb20qt4y275jVT1xzDEVZAAApuwvkpyc5Gaz7Y8medqYAyrIAABM2Y26+3VJrkiS7r4syeVjDqggAwAwZZdU1eFZuyAvVXWfJBeOOaCL9AAAmLKnJzkxya2r6h+T3DjJI8cc0AwyAACTM\/uK6ZvO7nN8\/yT\/LcmlSd6W5Lwxx1aQAQCYohcn+ebs+Q8m+Z0kL0xyQa7+i0WuNUssAACYoi3d\/ZXZ80dl7SuoX5\/k9VV1xpgDm0EGAGCKtlTV7sncY5L8w+C1USd5zSADADBFr05yalV9Kck3krwrSarqe+MuFgAA7G+6+39U1SlJvifJ27q7Zy8dkORXxxxbQQYAYJK6+1+uZN9Hxx7XGmQAABhQkAEAYEBBBgCAAQUZAAAGFGQAABhQkAEAYKC+fUs5WKyq2t7do363+npbtszLljdZvszyjm\/ZMi9b3mT5Mi9b3mT5Mi9b3mvLDDJTsn3RAfbBsmVetrzJ8mWWd3zLlnnZ8ibLl3nZ8ibLl3nZ8l4rCjIAAAwoyAAAMKAgMyXLuLZp2TIvW95k+TLLO75ly7xseZPly7xseZPly7xsea8VF+kBAMCAGWQAABhQkBlNVb2sqr5QVWcN9t21qv65qj5YVW+qqkNn+4+uqm9U1Rmzx5\/N9l+vqt5cVR+uqrOr6oSpZ5699ujZ+8+sqrdW1Y0WnXf22l1mr509e33bbP89ZtvnVtXzq6rGyDtv5qv7Ox4ce+LwXFPNW1XXqaqdVfXR2c\/zT085c1UdMth3RlV9qar+ZKp5Z6+9o6o+MnjtJmPkXefMj5r9nji7qp49hbyD14+qqour6jcH+55aVWfN8j5trLzzZt7L3\/Fbq+oDs8x\/VlVbJp536X4fV9X\/qKrPVtXFY2XdcN3t4THKI8kPJ7l7krMG+05Lcv\/Z8yckedbs+dHD9w3ef70kD5g9v06SdyX58Yln3prkC0luNNv+oyQ7JpB3a5Izk9x1tn14ki2z5+9Ncp8kleQtU\/87Hhz3iCSvurr3TCVvkt9L8vuz5wfs\/vmYcuY9znl6kh+ect4k70iyMtbf63pnnv1\/8DNJbjzbfkWSYxadd\/D63yb5myS\/Odu+U5KzsvZ7eWuS\/5vke6f8dzx77dDZn5Xk9UmOnXjepft9PMv7PUkuHivrRj\/MIDOa7n5nkq\/ssfu2Sd45e\/73Sa52Fq27v97db589\/2aS9yU5cp2jDse71pmz9kutkhw8+5f\/oUk+t545d5sz748lObO7PzA79svdfXlVfU\/W\/gPyL732m+6VSf7zGHn3IfNVqqrrJ3l6kt9f14B7WK+8WfsPzR\/OznlFd39p3ULuYR0zJ0mq6rZJbpK1f6Cuu\/XOuxHWKfOtknysu7842\/6\/1+CYfTJv3qr6z0k+meTswfvvkOQ9s9\/LlyU5NWv\/SB3Fev1cdPfXZk+3Zm2iZZSLr9Yj77L+Pp7l\/fw6x1soBZmNdnaSh8+e\/0ySmw9eu2VVvb+qTq2q++15YFUdluShSU4ZPeV3mitzd38ryS8n+WDWivEdk7x0Anlvm6Sr6uSqel9V\/T+z\/UckOW9w\/HmzfRtpX34unpXkuUm+vkEZh+bKO\/vZTZJnzf7u\/6aqvnvj4ia5Fv\/fS3JsktfO\/oO9UfY178tnH\/\/+9zE\/mr4K82Y+N8ntZh9db81aERoeM7YrzTv7x+dvZ+1Tj6Gzktyvqg6vqusl+YlsbN5kH38uqurkrH2yd1HWZsY3yrx5l\/X38aajILPRnpDkyVV1epJDknxztv\/zSY7q7rtlbVbwVfWda2e3Jnl1kud39yemnLmqDsxaQb5bkptlbVnD\/zuBvFuT3DfJz87+\/KmqOmYDc12def+Ovz\/Jrbv7DQtJO\/\/P8dasffLxT9199yT\/nOQ5E888dGzW\/v+3kfYl7892952T3G\/2+LkpZ+7uC7L2u+K1WZud\/1SSyyeQd0eS\/9Xd37GetLs\/lOTZSd6W5K1JzsjG5k328ee4u\/9T1pYAHJTkgVPPu2DLmHndbV10APYv3f3hrH3Uv\/tj25+c7b80yaWz56dX1cezNuO5Ojt0Z9Y+ivyTJchcs30fnx3zuiTHLTpv1mYi3rn7o\/2qOilra8\/+Kt+5bOXIJOdvVN5kn\/6O75lkpao+lbXfYzepqnd0949MNO\/pWZvp\/rvZKf4myRM3Iuu1yLw6e+9dk2zt7tOnnre7z5\/tv6iqXpXkXln7iHrKmd+U5E2zY7ZnAwvn1fyuuHeSR1bVHyU5LMkVVbWru\/+0u1+a2SdiVfUH+c7ZzoVlvgb\/DUl376qq\/5O12dG\/n2je87N8v49Xr+JUS80MMhuqZleVV9UBSX43ye4r5m9csyuLq+pWSW6T5BOz7d9PcoMkT1tA5H3JfH6SO1bVjWeneFCSDy06b5KTk9y51u4MsjXJ\/ZOcM1s39rWqus\/sI+mfT\/J\/Nirv1WW+qr\/j7n5Rd9+su4\/O2mz4RzeqHO9j3s5aCdqd8Zgk52xU3n3JPDj00dn42eO581bV1prdLWb2Kc5DsrYkYLKZ9zjmhkmenOQli87b3ffr7qNn\/\/\/6kyR\/0N1\/uscxR+XbF8lumH34ubh+ra3r3f1J5E8m+fBU8y7j7+ONzLah1vOKPw+P4SNr\/1H9fJJvZW2W4YlJnprko7PHCcm\/f1nNT2dt3dMZWbsQ76Gz\/Udm7YKKD81eOyPJf51y5tlrT5plPjNrxejwReedvf+xs8xnJfmjwf6V2b6PJ\/nT4TFT\/TsenO\/ojHsXi\/X6mbhF1i58OTNr6+iPmnrm2eufSHL7sbKuV94kB2dtpv7M2evPy+wuLVPNPDjPObPHKHdXmDfvHsftyOwuFrPtd82yfiAj3XFjnX8uvjtrd2U4M2u\/416QtU9EJpl39trS\/T7O2t2azktyxezPHWP+bGzEwzfpAQDAgCUWAAAwoCADAMCAggwAAAMKMgAADCjIAAAwoCADAMCAggzAQu3+8gGAqVCQAbjGquqZVfW0wfb\/qKqnVtVvVdVpVXVmVf3e4PU3VtXpVXX27KuUd++\/uKqeW1UfSPIDG\/u\/AuDqKcgAzONlWfv6291fRXtskn\/N2tfO3ivJ9ye5R1X98Oz9T+jue2Tt28F+raoOn+0\/OMl7uvuu3f3uDcwPsFdbFx0AgOXR3Z+qqi9X1d2y9jW+709yzyQ\/NnueJNfPWmF+Z9ZK8U\/N9t98tv\/LSS5P8vqNzA5wTSnIAMzrJUl+IclNszajfEySP+zuFw\/fVFU\/kuRHk\/xAd3+9qt6RZNvs5V3dffkG5QWYiyUWAMzrDUkenLWZ45NnjydU1fWTpKqOqKqbJLlBkgtm5fj2Se6zqMAA8zCDDMBcuvubVfX2JF+dzQK\/rarukOSfqypJLk7y2CRvTfKkqvpQko8k+ZdFZQaYR3X3ojMAsERmF+e9L8nPdPfHFp0HYL1ZYgHANVZVd0xybpJTlGNgszKDDAAAA2aQAQBgQEEGAIABBRkAAAYUZAAAGFCQAQBgQEEGAICB\/x8QYe1MVNTOjgAAAABJRU5ErkJggg==\n"
      ]
     },
     "metadata":{
      "image\/png":{
       
      }
     },
     "output_type":"display_data"
    }
   ],
   "metadata":{
    "datalore":{
     "node_id":"j8BTs5gfmJnysR6irw2Vvi",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  },
  {
   "cell_type":"code",
   "source":[
    
   ],
   "execution_count":null,
   "outputs":[
    
   ],
   "metadata":{
    "datalore":{
     "node_id":"WAhAxAJn0bn9bh1nrhuCW1",
     "type":"CODE",
     "hide_input_from_viewers":true,
     "hide_output_from_viewers":true
    }
   }
  }
 ],
 "metadata":{
  "kernelspec":{
   "display_name":"Python",
   "language":"python",
   "name":"python"
  },
  "datalore":{
   "computation_mode":"JUPYTER",
   "package_manager":"pip",
   "base_environment":"default",
   "packages":[
    
   ],
   "report_row_ids":[
    
   ],
   "version":3
  }
 },
 "nbformat":4,
 "nbformat_minor":4
}