{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import gc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly_mech_calls = pd.read_parquet(\"../data/weekly_mech_calls.parquet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = pd.read_parquet(\"../tmp/tools.parquet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "fpmmTrades = pd.read_parquet(\"../data/fpmmTrades.parquet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['request_id', 'request_block', 'prompt_request', 'tool', 'nonce',\n",
       "       'trader_address', 'deliver_block', 'error', 'error_message',\n",
       "       'prompt_response', 'mech_address', 'p_yes', 'p_no', 'confidence',\n",
       "       'info_utility', 'vote', 'win_probability', 'market_creator', 'title',\n",
       "       'currentAnswer', 'request_time', 'request_month_year',\n",
       "       'request_month_year_week'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>trader_address</th>\n",
       "      <th>month_year_week</th>\n",
       "      <th>total_trades</th>\n",
       "      <th>total_mech_calls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0x358e58683e54b2b1b0536727df52a001df5acdf8</td>\n",
       "      <td>Nov-03</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0x358e58683e54b2b1b0536727df52a001df5acdf8</td>\n",
       "      <td>Nov-10</td>\n",
       "      <td>10</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0x358e58683e54b2b1b0536727df52a001df5acdf8</td>\n",
       "      <td>Nov-17</td>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0x358e58683e54b2b1b0536727df52a001df5acdf8</td>\n",
       "      <td>Nov-24</td>\n",
       "      <td>35</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0x358e58683e54b2b1b0536727df52a001df5acdf8</td>\n",
       "      <td>Dec-01</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               trader_address month_year_week  total_trades  \\\n",
       "0  0x358e58683e54b2b1b0536727df52a001df5acdf8          Nov-03             3   \n",
       "1  0x358e58683e54b2b1b0536727df52a001df5acdf8          Nov-10            10   \n",
       "2  0x358e58683e54b2b1b0536727df52a001df5acdf8          Nov-17            10   \n",
       "3  0x358e58683e54b2b1b0536727df52a001df5acdf8          Nov-24            35   \n",
       "4  0x358e58683e54b2b1b0536727df52a001df5acdf8          Dec-01             6   \n",
       "\n",
       "   total_mech_calls  \n",
       "0                45  \n",
       "1                33  \n",
       "2                22  \n",
       "3                40  \n",
       "4                11  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_mech_calls.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trader_address</th>\n",
       "      <th>month_year_week</th>\n",
       "      <th>total_trades</th>\n",
       "      <th>total_mech_calls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7573</th>\n",
       "      <td>0x5992ba3c19482e899521a0422132895d97a12f0c</td>\n",
       "      <td>Dec-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7574</th>\n",
       "      <td>0x5992ba3c19482e899521a0422132895d97a12f0c</td>\n",
       "      <td>Dec-08</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7575</th>\n",
       "      <td>0x5992ba3c19482e899521a0422132895d97a12f0c</td>\n",
       "      <td>Dec-15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7576</th>\n",
       "      <td>0x5992ba3c19482e899521a0422132895d97a12f0c</td>\n",
       "      <td>Dec-22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7577</th>\n",
       "      <td>0x5992ba3c19482e899521a0422132895d97a12f0c</td>\n",
       "      <td>Dec-29</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  trader_address month_year_week  \\\n",
       "7573  0x5992ba3c19482e899521a0422132895d97a12f0c          Dec-01   \n",
       "7574  0x5992ba3c19482e899521a0422132895d97a12f0c          Dec-08   \n",
       "7575  0x5992ba3c19482e899521a0422132895d97a12f0c          Dec-15   \n",
       "7576  0x5992ba3c19482e899521a0422132895d97a12f0c          Dec-22   \n",
       "7577  0x5992ba3c19482e899521a0422132895d97a12f0c          Dec-29   \n",
       "\n",
       "      total_trades  total_mech_calls  \n",
       "7573             0                 0  \n",
       "7574             0                 0  \n",
       "7575             0                 0  \n",
       "7576             0                 0  \n",
       "7577             1                21  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_mech_calls.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    7578.000000\n",
       "mean      106.832014\n",
       "std       157.655569\n",
       "min         0.000000\n",
       "25%         0.000000\n",
       "50%        12.000000\n",
       "75%       244.000000\n",
       "max       795.000000\n",
       "Name: total_mech_calls, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_mech_calls.total_mech_calls.describe()"
   ]
  }
 ],
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