data-analysis-2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e76117e4-473b-4cf3-9c8b-edfcc541c621",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c2e4664f-9076-432b-998c-446b86607a99",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATASET_FOLDER = \"./dataset\"\n",
    "train_processed_data = os.path.join(DATASET_FOLDER, 'train_sku_feature_data.parquet')\n",
    "test_data = os.path.join(DATASET_FOLDER, 'test_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "45cc8ce7-dbc3-428f-9b7f-ac0854565988",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train_v1 = pd.read_parquet(train_processed_data, engine='fastparquet')\n",
    "df_train_v1 = df_train_v1.set_index('sku')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "19e61257-9624-4af2-b572-485e067dfcdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_domain_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_title</th>\n",
       "      <th>site_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_family_id</th>\n",
       "      <th>count</th>\n",
       "      <th>date_first</th>\n",
       "      <th>date_last</th>\n",
       "      <th>date_diff</th>\n",
       "      <th>...</th>\n",
       "      <th>listing_type_mode_tx</th>\n",
       "      <th>shipping_logistic_type_first</th>\n",
       "      <th>shipping_logistic_type_last</th>\n",
       "      <th>shipping_logistic_type_mode</th>\n",
       "      <th>shipping_logistic_type_mode_tx</th>\n",
       "      <th>shipping_payment_first</th>\n",
       "      <th>shipping_payment_last</th>\n",
       "      <th>shipping_payment_mode</th>\n",
       "      <th>shipping_payment_mode_tx</th>\n",
       "      <th>sold_quantity_series</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sku</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <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>464801</th>\n",
       "      <td>MLB-NEBULIZERS</td>\n",
       "      <td>344151</td>\n",
       "      <td>Inalador E Nebulizador Infantil Nebdog Superfl...</td>\n",
       "      <td>MLB</td>\n",
       "      <td>MLB9838512</td>\n",
       "      <td>MLB9838510</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 5, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645793</th>\n",
       "      <td>MLB-NEBULIZERS</td>\n",
       "      <td>438135</td>\n",
       "      <td>Inalador Infantil, 2 Anos De Garantia, G-tech,...</td>\n",
       "      <td>MLB</td>\n",
       "      <td>None</td>\n",
       "      <td>MLB9838510</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 0, 2, 1, 0, 1, 1, 2, 0, 0, 0, 0, 0, 1, 0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99516</th>\n",
       "      <td>MLB-ADHESIVE_TAPES</td>\n",
       "      <td>221252</td>\n",
       "      <td>Fita Dupla Face Preta Colar Touch Lcd 3mm Celu...</td>\n",
       "      <td>MLB</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>0.779661</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 2, 6, 2, 1, 2, 3, 1, 10, 3, 2, 3, 1, 1, 0,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538100</th>\n",
       "      <td>MLB-SCHOOL_AND_OFFICE_GLUES</td>\n",
       "      <td>62099</td>\n",
       "      <td>Cola T-7000 Black Pra Uso Em Touch E Celular E...</td>\n",
       "      <td>MLB</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 0, 2, 1, 2, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557191</th>\n",
       "      <td>MLB-DECORATIVE_VINYLS</td>\n",
       "      <td>168198</td>\n",
       "      <td>Adesivo De Parede Unicornio + 30 Florais</td>\n",
       "      <td>MLB</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, ...</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>129187</th>\n",
       "      <td>MLA-RADIO_BASE_STATIONS</td>\n",
       "      <td>408559</td>\n",
       "      <td>Base Bibanda Yedro M04 Vus Vhf Uhf</td>\n",
       "      <td>MLA</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6707</th>\n",
       "      <td>MLA-PRINTERS</td>\n",
       "      <td>193784</td>\n",
       "      <td>Impresora  Multifunción Hp Laserjet 137fnw Con...</td>\n",
       "      <td>MLA</td>\n",
       "      <td>MLA15159034</td>\n",
       "      <td>MLA15159032</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>cross_docking</td>\n",
       "      <td>cross_docking</td>\n",
       "      <td>cross_docking</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170355</th>\n",
       "      <td>MLA-WRISTWATCHES</td>\n",
       "      <td>110276</td>\n",
       "      <td>Reloj Hombre Skmei 9178 Rock Calavera En Acero...</td>\n",
       "      <td>MLA</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246568</th>\n",
       "      <td>MLA-HARD_DRIVES_AND_SSDS</td>\n",
       "      <td>456892</td>\n",
       "      <td>Disco Sólido Interno Western Digital  Wds250g2...</td>\n",
       "      <td>MLA</td>\n",
       "      <td>MLA15697725</td>\n",
       "      <td>MLA15697724</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49718</th>\n",
       "      <td>MLA-THERMAL_PADS</td>\n",
       "      <td>245547</td>\n",
       "      <td>Pad Térmico Gelid Gp-extreme Tp-gp01-e 12w 80 ...</td>\n",
       "      <td>MLA</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>551472 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     item_domain_id  item_id  \\\n",
       "sku                                            \n",
       "464801               MLB-NEBULIZERS   344151   \n",
       "645793               MLB-NEBULIZERS   438135   \n",
       "99516            MLB-ADHESIVE_TAPES   221252   \n",
       "538100  MLB-SCHOOL_AND_OFFICE_GLUES    62099   \n",
       "557191        MLB-DECORATIVE_VINYLS   168198   \n",
       "...                             ...      ...   \n",
       "129187      MLA-RADIO_BASE_STATIONS   408559   \n",
       "6707                   MLA-PRINTERS   193784   \n",
       "170355             MLA-WRISTWATCHES   110276   \n",
       "246568     MLA-HARD_DRIVES_AND_SSDS   456892   \n",
       "49718              MLA-THERMAL_PADS   245547   \n",
       "\n",
       "                                               item_title site_id  \\\n",
       "sku                                                                 \n",
       "464801  Inalador E Nebulizador Infantil Nebdog Superfl...     MLB   \n",
       "645793  Inalador Infantil, 2 Anos De Garantia, G-tech,...     MLB   \n",
       "99516   Fita Dupla Face Preta Colar Touch Lcd 3mm Celu...     MLB   \n",
       "538100  Cola T-7000 Black Pra Uso Em Touch E Celular E...     MLB   \n",
       "557191           Adesivo De Parede Unicornio + 30 Florais     MLB   \n",
       "...                                                   ...     ...   \n",
       "129187                 Base Bibanda Yedro M04 Vus Vhf Uhf     MLA   \n",
       "6707    Impresora  Multifunción Hp Laserjet 137fnw Con...     MLA   \n",
       "170355  Reloj Hombre Skmei 9178 Rock Calavera En Acero...     MLA   \n",
       "246568  Disco Sólido Interno Western Digital  Wds250g2...     MLA   \n",
       "49718   Pad Térmico Gelid Gp-extreme Tp-gp01-e 12w 80 ...     MLA   \n",
       "\n",
       "         product_id product_family_id  count date_first  date_last  date_diff  \\\n",
       "sku                                                                             \n",
       "464801   MLB9838512        MLB9838510     59 2021-02-01 2021-03-31         58   \n",
       "645793         None        MLB9838510     59 2021-02-01 2021-03-31         58   \n",
       "99516          None              None     59 2021-02-01 2021-03-31         58   \n",
       "538100         None              None     59 2021-02-01 2021-03-31         58   \n",
       "557191         None              None     59 2021-02-01 2021-03-31         58   \n",
       "...             ...               ...    ...        ...        ...        ...   \n",
       "129187         None              None      1 2021-03-31 2021-03-31          0   \n",
       "6707    MLA15159034       MLA15159032      1 2021-03-31 2021-03-31          0   \n",
       "170355         None              None      1 2021-03-31 2021-03-31          0   \n",
       "246568  MLA15697725       MLA15697724      1 2021-03-31 2021-03-31          0   \n",
       "49718          None              None      1 2021-03-31 2021-03-31          0   \n",
       "\n",
       "        ...  listing_type_mode_tx  shipping_logistic_type_first  \\\n",
       "sku     ...                                                       \n",
       "464801  ...                   1.0                   fulfillment   \n",
       "645793  ...                   1.0                   fulfillment   \n",
       "99516   ...                   1.0                   fulfillment   \n",
       "538100  ...                   1.0                   fulfillment   \n",
       "557191  ...                   1.0                   fulfillment   \n",
       "...     ...                   ...                           ...   \n",
       "129187  ...                   1.0                      drop_off   \n",
       "6707    ...                   1.0                 cross_docking   \n",
       "170355  ...                   1.0                      drop_off   \n",
       "246568  ...                   1.0                   fulfillment   \n",
       "49718   ...                   1.0                      drop_off   \n",
       "\n",
       "        shipping_logistic_type_last  shipping_logistic_type_mode  \\\n",
       "sku                                                                \n",
       "464801                  fulfillment                  fulfillment   \n",
       "645793                  fulfillment                  fulfillment   \n",
       "99516                   fulfillment                  fulfillment   \n",
       "538100                  fulfillment                  fulfillment   \n",
       "557191                  fulfillment                  fulfillment   \n",
       "...                             ...                          ...   \n",
       "129187                     drop_off                     drop_off   \n",
       "6707                  cross_docking                cross_docking   \n",
       "170355                     drop_off                     drop_off   \n",
       "246568                  fulfillment                  fulfillment   \n",
       "49718                      drop_off                     drop_off   \n",
       "\n",
       "        shipping_logistic_type_mode_tx  shipping_payment_first  \\\n",
       "sku                                                              \n",
       "464801                        1.000000           free_shipping   \n",
       "645793                        1.000000           free_shipping   \n",
       "99516                         0.779661           paid_shipping   \n",
       "538100                        1.000000           paid_shipping   \n",
       "557191                        1.000000           paid_shipping   \n",
       "...                                ...                     ...   \n",
       "129187                        1.000000           free_shipping   \n",
       "6707                          1.000000           free_shipping   \n",
       "170355                        1.000000           paid_shipping   \n",
       "246568                        1.000000           free_shipping   \n",
       "49718                         1.000000           paid_shipping   \n",
       "\n",
       "        shipping_payment_last  shipping_payment_mode  \\\n",
       "sku                                                    \n",
       "464801          free_shipping          free_shipping   \n",
       "645793          free_shipping          free_shipping   \n",
       "99516           paid_shipping          paid_shipping   \n",
       "538100          paid_shipping          paid_shipping   \n",
       "557191          paid_shipping          paid_shipping   \n",
       "...                       ...                    ...   \n",
       "129187          free_shipping          free_shipping   \n",
       "6707            free_shipping          free_shipping   \n",
       "170355          paid_shipping          paid_shipping   \n",
       "246568          free_shipping          free_shipping   \n",
       "49718           paid_shipping          paid_shipping   \n",
       "\n",
       "        shipping_payment_mode_tx  \\\n",
       "sku                                \n",
       "464801                       1.0   \n",
       "645793                       1.0   \n",
       "99516                        1.0   \n",
       "538100                       1.0   \n",
       "557191                       1.0   \n",
       "...                          ...   \n",
       "129187                       1.0   \n",
       "6707                         1.0   \n",
       "170355                       1.0   \n",
       "246568                       1.0   \n",
       "49718                        1.0   \n",
       "\n",
       "                                     sold_quantity_series  \n",
       "sku                                                        \n",
       "464801  [0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 5, ...  \n",
       "645793  [0, 0, 2, 1, 0, 1, 1, 2, 0, 0, 0, 0, 0, 1, 0, ...  \n",
       "99516   [0, 2, 6, 2, 1, 2, 3, 1, 10, 3, 2, 3, 1, 1, 0,...  \n",
       "538100  [0, 0, 2, 1, 2, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, ...  \n",
       "557191  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, ...  \n",
       "...                                                   ...  \n",
       "129187                                                [0]  \n",
       "6707                                                  [0]  \n",
       "170355                                                [0]  \n",
       "246568                                                [0]  \n",
       "49718                                                 [0]  \n",
       "\n",
       "[551472 rows x 54 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "989604de-da80-46d3-96f9-456e93481b2c",
   "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>item_domain_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_title</th>\n",
       "      <th>site_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_family_id</th>\n",
       "      <th>count</th>\n",
       "      <th>date_first</th>\n",
       "      <th>date_last</th>\n",
       "      <th>date_diff</th>\n",
       "      <th>...</th>\n",
       "      <th>listing_type_mode_tx</th>\n",
       "      <th>shipping_logistic_type_first</th>\n",
       "      <th>shipping_logistic_type_last</th>\n",
       "      <th>shipping_logistic_type_mode</th>\n",
       "      <th>shipping_logistic_type_mode_tx</th>\n",
       "      <th>shipping_payment_first</th>\n",
       "      <th>shipping_payment_last</th>\n",
       "      <th>shipping_payment_mode</th>\n",
       "      <th>shipping_payment_mode_tx</th>\n",
       "      <th>sold_quantity_series</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sku</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>MLM-SELF_ADHESIVE_LABELS</td>\n",
       "      <td>157388</td>\n",
       "      <td>100 Piezas Holograma Texto Original Seguridad ...</td>\n",
       "      <td>MLM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>0.610169</td>\n",
       "      <td>drop_off</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>0.610169</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 1, 0, 0, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527447</th>\n",
       "      <td>MLM-BICYCLE_TIRES</td>\n",
       "      <td>91748</td>\n",
       "      <td>Tubular Continental Giro 700×22 Para Bicicleta</td>\n",
       "      <td>MLM</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>cross_docking</td>\n",
       "      <td>cross_docking</td>\n",
       "      <td>0.593220</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>free_shipping</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[0, 1, 0, 0, 0, 0, 1, 0, 4, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  item_domain_id  item_id  \\\n",
       "sku                                         \n",
       "1169    MLM-SELF_ADHESIVE_LABELS   157388   \n",
       "527447         MLM-BICYCLE_TIRES    91748   \n",
       "\n",
       "                                               item_title site_id product_id  \\\n",
       "sku                                                                            \n",
       "1169    100 Piezas Holograma Texto Original Seguridad ...     MLM       None   \n",
       "527447     Tubular Continental Giro 700×22 Para Bicicleta     MLM       None   \n",
       "\n",
       "       product_family_id  count date_first  date_last  date_diff  ...  \\\n",
       "sku                                                               ...   \n",
       "1169                None     59 2021-02-01 2021-03-31         58  ...   \n",
       "527447              None     59 2021-02-01 2021-03-31         58  ...   \n",
       "\n",
       "        listing_type_mode_tx  shipping_logistic_type_first  \\\n",
       "sku                                                          \n",
       "1169                0.610169                      drop_off   \n",
       "527447              1.000000                   fulfillment   \n",
       "\n",
       "        shipping_logistic_type_last  shipping_logistic_type_mode  \\\n",
       "sku                                                                \n",
       "1169                    fulfillment                  fulfillment   \n",
       "527447                cross_docking                cross_docking   \n",
       "\n",
       "        shipping_logistic_type_mode_tx  shipping_payment_first  \\\n",
       "sku                                                              \n",
       "1169                          0.610169           paid_shipping   \n",
       "527447                        0.593220           free_shipping   \n",
       "\n",
       "        shipping_payment_last  shipping_payment_mode  \\\n",
       "sku                                                    \n",
       "1169            paid_shipping          paid_shipping   \n",
       "527447          free_shipping          free_shipping   \n",
       "\n",
       "        shipping_payment_mode_tx  \\\n",
       "sku                                \n",
       "1169                         1.0   \n",
       "527447                       1.0   \n",
       "\n",
       "                                     sold_quantity_series  \n",
       "sku                                                        \n",
       "1169    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 1, 0, 0, ...  \n",
       "527447  [0, 1, 0, 0, 0, 0, 1, 0, 4, 0, 0, 0, 0, 0, 0, ...  \n",
       "\n",
       "[2 rows x 54 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_v1[df_train_v1['currency_mode_tx'] != 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8c004862-451f-4318-8f88-9179edae3f6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test = pd.read_csv(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "544fd15a-c8b3-4f73-b6d8-2448860b4abf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train_on_test = df_train_v1.loc[df_test['sku']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5906ffc3-8148-43d1-a07b-9ccf1efbcf3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 13,
     "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": [
    "df_train_on_test['count'].plot.hist(bins=59)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "49915962-370e-4326-96de-5aeae1b300f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "      <th>first</th>\n",
       "      <th>last</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>item_domain_id</th>\n",
       "      <td>551470</td>\n",
       "      <td>8243</td>\n",
       "      <td>MLB-SUPPLEMENTS</td>\n",
       "      <td>12032</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_id</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>259013</td>\n",
       "      <td>149412</td>\n",
       "      <td>0</td>\n",
       "      <td>129796</td>\n",
       "      <td>259092</td>\n",
       "      <td>388294</td>\n",
       "      <td>517895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_title</th>\n",
       "      <td>551472</td>\n",
       "      <td>407133</td>\n",
       "      <td>Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...</td>\n",
       "      <td>164</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>site_id</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>MLB</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_id</th>\n",
       "      <td>22859</td>\n",
       "      <td>13443</td>\n",
       "      <td>MLB6125887</td>\n",
       "      <td>28</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_family_id</th>\n",
       "      <td>66451</td>\n",
       "      <td>25983</td>\n",
       "      <td>MLB12287867</td>\n",
       "      <td>183</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01 00:00:00</td>\n",
       "      <td>500404</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31 00:00:00</td>\n",
       "      <td>551472</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_diff</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>55.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.927949</td>\n",
       "      <td>11.7502</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.16318</td>\n",
       "      <td>8.15049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_sum</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>57.9207</td>\n",
       "      <td>442.711</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>137528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mean</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.00985</td>\n",
       "      <td>7.58665</td>\n",
       "      <td>0</td>\n",
       "      <td>0.170213</td>\n",
       "      <td>0.322034</td>\n",
       "      <td>0.711864</td>\n",
       "      <td>2330.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_std</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.47498</td>\n",
       "      <td>7.32215</td>\n",
       "      <td>0</td>\n",
       "      <td>0.471886</td>\n",
       "      <td>0.709788</td>\n",
       "      <td>1.25898</td>\n",
       "      <td>1459.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_min</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.0229259</td>\n",
       "      <td>1.5554</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_max</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>6.95899</td>\n",
       "      <td>37.7742</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.159754</td>\n",
       "      <td>3.89943</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.735851</td>\n",
       "      <td>0.194442</td>\n",
       "      <td>0.0169492</td>\n",
       "      <td>0.644068</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4648.15</td>\n",
       "      <td>1.90544e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.97</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2628.74</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.89</td>\n",
       "      <td>119</td>\n",
       "      <td>298</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_sum</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>151283</td>\n",
       "      <td>7.94913e+07</td>\n",
       "      <td>1.93</td>\n",
       "      <td>2695.71</td>\n",
       "      <td>6484.1</td>\n",
       "      <td>17403</td>\n",
       "      <td>5.9e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mean</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2774.35</td>\n",
       "      <td>1.34824e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.6508</td>\n",
       "      <td>118.476</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_std</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>409.6</td>\n",
       "      <td>206788</td>\n",
       "      <td>0</td>\n",
       "      <td>7.16642e-15</td>\n",
       "      <td>1.96037</td>\n",
       "      <td>9.19986</td>\n",
       "      <td>1.52499e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_min</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2585.07</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>45</td>\n",
       "      <td>106.9</td>\n",
       "      <td>289</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_max</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4807.43</td>\n",
       "      <td>1.90589e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49.9</td>\n",
       "      <td>127</td>\n",
       "      <td>319.2</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2756.93</td>\n",
       "      <td>1.34841e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732237</td>\n",
       "      <td>0.257756</td>\n",
       "      <td>0.0338983</td>\n",
       "      <td>0.525424</td>\n",
       "      <td>0.763158</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>962.726</td>\n",
       "      <td>648.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1153.29</td>\n",
       "      <td>559.689</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_sum</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>61604.5</td>\n",
       "      <td>24132.8</td>\n",
       "      <td>0</td>\n",
       "      <td>45473.8</td>\n",
       "      <td>69265.7</td>\n",
       "      <td>84074</td>\n",
       "      <td>84960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mean</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1080.75</td>\n",
       "      <td>389.704</td>\n",
       "      <td>0</td>\n",
       "      <td>840.812</td>\n",
       "      <td>1216.92</td>\n",
       "      <td>1426.33</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_std</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.107</td>\n",
       "      <td>274.901</td>\n",
       "      <td>0</td>\n",
       "      <td>50.1308</td>\n",
       "      <td>462.905</td>\n",
       "      <td>649.885</td>\n",
       "      <td>1003.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_min</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.415</td>\n",
       "      <td>606.448</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>883.064</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_max</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1418.05</td>\n",
       "      <td>171.876</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1156.89</td>\n",
       "      <td>571.839</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.80573</td>\n",
       "      <td>0.174364</td>\n",
       "      <td>0.0714286</td>\n",
       "      <td>0.661017</td>\n",
       "      <td>0.847458</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>4.56474e-05</td>\n",
       "      <td>0.966102</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>276601</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>283659</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>277876</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.983636</td>\n",
       "      <td>0.0714636</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>404596</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>505967</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>479789</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.916043</td>\n",
       "      <td>0.142902</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_first</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>369742</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_last</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>359044</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>374447</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_tx</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.977907</td>\n",
       "      <td>0.086192</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_series</th>\n",
       "      <td>551472</td>\n",
       "      <td>514917</td>\n",
       "      <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>14307</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 count  unique  \\\n",
       "item_domain_id                  551470    8243   \n",
       "item_id                         551472     NaN   \n",
       "item_title                      551472  407133   \n",
       "site_id                         551472       3   \n",
       "product_id                       22859   13443   \n",
       "product_family_id                66451   25983   \n",
       "count                           551472     NaN   \n",
       "date_first                      551472      59   \n",
       "date_last                       551472       1   \n",
       "date_diff                       551472     NaN   \n",
       "sold_quantity_first             551472     NaN   \n",
       "sold_quantity_last              551472     NaN   \n",
       "sold_quantity_sum               551472     NaN   \n",
       "sold_quantity_mean              551472     NaN   \n",
       "sold_quantity_std               550920     NaN   \n",
       "sold_quantity_min               551472     NaN   \n",
       "sold_quantity_max               551472     NaN   \n",
       "sold_quantity_mode              551472     NaN   \n",
       "sold_quantity_mode_tx           551472     NaN   \n",
       "current_price_first             551472     NaN   \n",
       "current_price_last              551472     NaN   \n",
       "current_price_sum               551472     NaN   \n",
       "current_price_mean              551472     NaN   \n",
       "current_price_std               550920     NaN   \n",
       "current_price_min               551472     NaN   \n",
       "current_price_max               551472     NaN   \n",
       "current_price_mode              551472     NaN   \n",
       "current_price_mode_tx           551472     NaN   \n",
       "minutes_active_first            551472     NaN   \n",
       "minutes_active_last             551472     NaN   \n",
       "minutes_active_sum              551472     NaN   \n",
       "minutes_active_mean             551472     NaN   \n",
       "minutes_active_std              550920     NaN   \n",
       "minutes_active_min              551472     NaN   \n",
       "minutes_active_max              551472     NaN   \n",
       "minutes_active_mode             551472     NaN   \n",
       "minutes_active_mode_tx          551472     NaN   \n",
       "currency_first                  551472       4   \n",
       "currency_last                   551472       4   \n",
       "currency_mode                   551472       4   \n",
       "currency_mode_tx                551472     NaN   \n",
       "listing_type_first              551472       2   \n",
       "listing_type_last               551472       2   \n",
       "listing_type_mode               551472       2   \n",
       "listing_type_mode_tx            551472     NaN   \n",
       "shipping_logistic_type_first    551472       3   \n",
       "shipping_logistic_type_last     551472       3   \n",
       "shipping_logistic_type_mode     551472       3   \n",
       "shipping_logistic_type_mode_tx  551472     NaN   \n",
       "shipping_payment_first          551472       2   \n",
       "shipping_payment_last           551472       2   \n",
       "shipping_payment_mode           551472       2   \n",
       "shipping_payment_mode_tx        551472     NaN   \n",
       "sold_quantity_series            551472  514917   \n",
       "\n",
       "                                                                              top  \\\n",
       "item_domain_id                                                    MLB-SUPPLEMENTS   \n",
       "item_id                                                                       NaN   \n",
       "item_title                      Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...   \n",
       "site_id                                                                       MLB   \n",
       "product_id                                                             MLB6125887   \n",
       "product_family_id                                                     MLB12287867   \n",
       "count                                                                         NaN   \n",
       "date_first                                                    2021-02-01 00:00:00   \n",
       "date_last                                                     2021-03-31 00:00:00   \n",
       "date_diff                                                                     NaN   \n",
       "sold_quantity_first                                                           NaN   \n",
       "sold_quantity_last                                                            NaN   \n",
       "sold_quantity_sum                                                             NaN   \n",
       "sold_quantity_mean                                                            NaN   \n",
       "sold_quantity_std                                                             NaN   \n",
       "sold_quantity_min                                                             NaN   \n",
       "sold_quantity_max                                                             NaN   \n",
       "sold_quantity_mode                                                            NaN   \n",
       "sold_quantity_mode_tx                                                         NaN   \n",
       "current_price_first                                                           NaN   \n",
       "current_price_last                                                            NaN   \n",
       "current_price_sum                                                             NaN   \n",
       "current_price_mean                                                            NaN   \n",
       "current_price_std                                                             NaN   \n",
       "current_price_min                                                             NaN   \n",
       "current_price_max                                                             NaN   \n",
       "current_price_mode                                                            NaN   \n",
       "current_price_mode_tx                                                         NaN   \n",
       "minutes_active_first                                                          NaN   \n",
       "minutes_active_last                                                           NaN   \n",
       "minutes_active_sum                                                            NaN   \n",
       "minutes_active_mean                                                           NaN   \n",
       "minutes_active_std                                                            NaN   \n",
       "minutes_active_min                                                            NaN   \n",
       "minutes_active_max                                                            NaN   \n",
       "minutes_active_mode                                                           NaN   \n",
       "minutes_active_mode_tx                                                        NaN   \n",
       "currency_first                                                                REA   \n",
       "currency_last                                                                 REA   \n",
       "currency_mode                                                                 REA   \n",
       "currency_mode_tx                                                              NaN   \n",
       "listing_type_first                                                        premium   \n",
       "listing_type_last                                                         classic   \n",
       "listing_type_mode                                                         classic   \n",
       "listing_type_mode_tx                                                          NaN   \n",
       "shipping_logistic_type_first                                          fulfillment   \n",
       "shipping_logistic_type_last                                           fulfillment   \n",
       "shipping_logistic_type_mode                                           fulfillment   \n",
       "shipping_logistic_type_mode_tx                                                NaN   \n",
       "shipping_payment_first                                              paid_shipping   \n",
       "shipping_payment_last                                               paid_shipping   \n",
       "shipping_payment_mode                                               paid_shipping   \n",
       "shipping_payment_mode_tx                                                      NaN   \n",
       "sold_quantity_series            [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "\n",
       "                                  freq      first       last       mean  \\\n",
       "item_domain_id                   12032        NaT        NaT        NaN   \n",
       "item_id                            NaN        NaT        NaT     259013   \n",
       "item_title                         164        NaT        NaT        NaN   \n",
       "site_id                         281298        NaT        NaT        NaN   \n",
       "product_id                          28        NaT        NaT        NaN   \n",
       "product_family_id                  183        NaT        NaT        NaN   \n",
       "count                              NaN        NaT        NaT    56.7289   \n",
       "date_first                      500404 2021-02-01 2021-03-31        NaN   \n",
       "date_last                       551472 2021-03-31 2021-03-31        NaN   \n",
       "date_diff                          NaN        NaT        NaT    55.7289   \n",
       "sold_quantity_first                NaN        NaT        NaT   0.927949   \n",
       "sold_quantity_last                 NaN        NaT        NaT    1.16318   \n",
       "sold_quantity_sum                  NaN        NaT        NaT    57.9207   \n",
       "sold_quantity_mean                 NaN        NaT        NaT    1.00985   \n",
       "sold_quantity_std                  NaN        NaT        NaT    1.47498   \n",
       "sold_quantity_min                  NaN        NaT        NaT  0.0229259   \n",
       "sold_quantity_max                  NaN        NaT        NaT    6.95899   \n",
       "sold_quantity_mode                 NaN        NaT        NaT   0.159754   \n",
       "sold_quantity_mode_tx              NaN        NaT        NaT   0.735851   \n",
       "current_price_first                NaN        NaT        NaT    4648.15   \n",
       "current_price_last                 NaN        NaT        NaT    2628.74   \n",
       "current_price_sum                  NaN        NaT        NaT     151283   \n",
       "current_price_mean                 NaN        NaT        NaT    2774.35   \n",
       "current_price_std                  NaN        NaT        NaT      409.6   \n",
       "current_price_min                  NaN        NaT        NaT    2585.07   \n",
       "current_price_max                  NaN        NaT        NaT    4807.43   \n",
       "current_price_mode                 NaN        NaT        NaT    2756.93   \n",
       "current_price_mode_tx              NaN        NaT        NaT   0.732237   \n",
       "minutes_active_first               NaN        NaT        NaT    962.726   \n",
       "minutes_active_last                NaN        NaT        NaT    1153.29   \n",
       "minutes_active_sum                 NaN        NaT        NaT    61604.5   \n",
       "minutes_active_mean                NaN        NaT        NaT    1080.75   \n",
       "minutes_active_std                 NaN        NaT        NaT    385.107   \n",
       "minutes_active_min                 NaN        NaT        NaT    385.415   \n",
       "minutes_active_max                 NaN        NaT        NaT    1418.05   \n",
       "minutes_active_mode                NaN        NaT        NaT    1156.89   \n",
       "minutes_active_mode_tx             NaN        NaT        NaT    0.80573   \n",
       "currency_first                  281298        NaT        NaT        NaN   \n",
       "currency_last                   281298        NaT        NaT        NaN   \n",
       "currency_mode                   281298        NaT        NaT        NaN   \n",
       "currency_mode_tx                   NaN        NaT        NaT          1   \n",
       "listing_type_first              276601        NaT        NaT        NaN   \n",
       "listing_type_last               283659        NaT        NaT        NaN   \n",
       "listing_type_mode               277876        NaT        NaT        NaN   \n",
       "listing_type_mode_tx               NaN        NaT        NaT   0.983636   \n",
       "shipping_logistic_type_first    404596        NaT        NaT        NaN   \n",
       "shipping_logistic_type_last     505967        NaT        NaT        NaN   \n",
       "shipping_logistic_type_mode     479789        NaT        NaT        NaN   \n",
       "shipping_logistic_type_mode_tx     NaN        NaT        NaT   0.916043   \n",
       "shipping_payment_first          369742        NaT        NaT        NaN   \n",
       "shipping_payment_last           359044        NaT        NaT        NaN   \n",
       "shipping_payment_mode           374447        NaT        NaT        NaN   \n",
       "shipping_payment_mode_tx           NaN        NaT        NaT   0.977907   \n",
       "sold_quantity_series             14307        NaT        NaT        NaN   \n",
       "\n",
       "                                        std        min          25%       50%  \\\n",
       "item_domain_id                          NaN        NaN          NaN       NaN   \n",
       "item_id                              149412          0       129796    259092   \n",
       "item_title                              NaN        NaN          NaN       NaN   \n",
       "site_id                                 NaN        NaN          NaN       NaN   \n",
       "product_id                              NaN        NaN          NaN       NaN   \n",
       "product_family_id                       NaN        NaN          NaN       NaN   \n",
       "count                               8.64205          1           59        59   \n",
       "date_first                              NaN        NaN          NaN       NaN   \n",
       "date_last                               NaN        NaN          NaN       NaN   \n",
       "date_diff                           8.64205          0           58        58   \n",
       "sold_quantity_first                 11.7502          0            0         0   \n",
       "sold_quantity_last                  8.15049          0            0         0   \n",
       "sold_quantity_sum                   442.711          0           10        19   \n",
       "sold_quantity_mean                  7.58665          0     0.170213  0.322034   \n",
       "sold_quantity_std                   7.32215          0     0.471886  0.709788   \n",
       "sold_quantity_min                    1.5554          0            0         0   \n",
       "sold_quantity_max                   37.7742          0            2         3   \n",
       "sold_quantity_mode                  3.89943          0            0         0   \n",
       "sold_quantity_mode_tx              0.194442  0.0169492     0.644068   0.79661   \n",
       "current_price_first             1.90544e+06       0.89        48.97       119   \n",
       "current_price_last              1.34754e+06       0.89        48.89       119   \n",
       "current_price_sum               7.94913e+07       1.93      2695.71    6484.1   \n",
       "current_price_mean              1.34824e+06       0.89      48.6508   118.476   \n",
       "current_price_std                    206788          0  7.16642e-15   1.96037   \n",
       "current_price_min               1.34754e+06       0.89           45     106.9   \n",
       "current_price_max               1.90589e+06       0.89         49.9       127   \n",
       "current_price_mode              1.34841e+06       0.89           49       119   \n",
       "current_price_mode_tx              0.257756  0.0338983     0.525424  0.763158   \n",
       "minutes_active_first                 648.38          0            0      1440   \n",
       "minutes_active_last                 559.689          0         1440      1440   \n",
       "minutes_active_sum                  24132.8          0      45473.8   69265.7   \n",
       "minutes_active_mean                 389.704          0      840.812   1216.92   \n",
       "minutes_active_std                  274.901          0      50.1308   462.905   \n",
       "minutes_active_min                  606.448          0            0         0   \n",
       "minutes_active_max                  171.876          0         1440      1440   \n",
       "minutes_active_mode                 571.839          0         1440      1440   \n",
       "minutes_active_mode_tx             0.174364  0.0714286     0.661017  0.847458   \n",
       "currency_first                          NaN        NaN          NaN       NaN   \n",
       "currency_last                           NaN        NaN          NaN       NaN   \n",
       "currency_mode                           NaN        NaN          NaN       NaN   \n",
       "currency_mode_tx                4.56474e-05   0.966102            1         1   \n",
       "listing_type_first                      NaN        NaN          NaN       NaN   \n",
       "listing_type_last                       NaN        NaN          NaN       NaN   \n",
       "listing_type_mode                       NaN        NaN          NaN       NaN   \n",
       "listing_type_mode_tx              0.0714636        0.5            1         1   \n",
       "shipping_logistic_type_first            NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_last             NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_mode             NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_mode_tx     0.142902   0.333333     0.864407         1   \n",
       "shipping_payment_first                  NaN        NaN          NaN       NaN   \n",
       "shipping_payment_last                   NaN        NaN          NaN       NaN   \n",
       "shipping_payment_mode                   NaN        NaN          NaN       NaN   \n",
       "shipping_payment_mode_tx           0.086192        0.5            1         1   \n",
       "sold_quantity_series                    NaN        NaN          NaN       NaN   \n",
       "\n",
       "                                     75%          max  \n",
       "item_domain_id                       NaN          NaN  \n",
       "item_id                           388294       517895  \n",
       "item_title                           NaN          NaN  \n",
       "site_id                              NaN          NaN  \n",
       "product_id                           NaN          NaN  \n",
       "product_family_id                    NaN          NaN  \n",
       "count                                 59           59  \n",
       "date_first                           NaN          NaN  \n",
       "date_last                            NaN          NaN  \n",
       "date_diff                             58           58  \n",
       "sold_quantity_first                    0         3644  \n",
       "sold_quantity_last                     1         1982  \n",
       "sold_quantity_sum                     40       137528  \n",
       "sold_quantity_mean              0.711864      2330.98  \n",
       "sold_quantity_std                1.25898       1459.8  \n",
       "sold_quantity_min                      0          886  \n",
       "sold_quantity_max                      6         6951  \n",
       "sold_quantity_mode                     0         1678  \n",
       "sold_quantity_mode_tx           0.864407            1  \n",
       "current_price_first                  299        1e+09  \n",
       "current_price_last                   298        1e+09  \n",
       "current_price_sum                  17403      5.9e+10  \n",
       "current_price_mean                   299        1e+09  \n",
       "current_price_std                9.19986  1.52499e+08  \n",
       "current_price_min                    289        1e+09  \n",
       "current_price_max                  319.2        1e+09  \n",
       "current_price_mode                   299        1e+09  \n",
       "current_price_mode_tx                  1            1  \n",
       "minutes_active_first                1440         1440  \n",
       "minutes_active_last                 1440         1440  \n",
       "minutes_active_sum                 84074        84960  \n",
       "minutes_active_mean              1426.33         1440  \n",
       "minutes_active_std               649.885      1003.59  \n",
       "minutes_active_min               883.064         1440  \n",
       "minutes_active_max                  1440         1440  \n",
       "minutes_active_mode                 1440         1440  \n",
       "minutes_active_mode_tx          0.983051            1  \n",
       "currency_first                       NaN          NaN  \n",
       "currency_last                        NaN          NaN  \n",
       "currency_mode                        NaN          NaN  \n",
       "currency_mode_tx                       1            1  \n",
       "listing_type_first                   NaN          NaN  \n",
       "listing_type_last                    NaN          NaN  \n",
       "listing_type_mode                    NaN          NaN  \n",
       "listing_type_mode_tx                   1            1  \n",
       "shipping_logistic_type_first         NaN          NaN  \n",
       "shipping_logistic_type_last          NaN          NaN  \n",
       "shipping_logistic_type_mode          NaN          NaN  \n",
       "shipping_logistic_type_mode_tx         1            1  \n",
       "shipping_payment_first               NaN          NaN  \n",
       "shipping_payment_last                NaN          NaN  \n",
       "shipping_payment_mode                NaN          NaN  \n",
       "shipping_payment_mode_tx               1            1  \n",
       "sold_quantity_series                 NaN          NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_on_test.describe(include='all').transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b7e11deb-698a-4db9-8bfb-68641b1b699b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "59    90.74%\n",
       "56     0.35%\n",
       "58     0.31%\n",
       "57     0.29%\n",
       "49     0.27%\n",
       "55     0.27%\n",
       "27     0.26%\n",
       "50     0.25%\n",
       "36     0.25%\n",
       "35     0.24%\n",
       "43     0.24%\n",
       "48     0.24%\n",
       "52     0.23%\n",
       "51     0.23%\n",
       "42     0.22%\n",
       "37     0.22%\n",
       "28     0.22%\n",
       "29     0.22%\n",
       "38     0.21%\n",
       "44      0.2%\n",
       "30      0.2%\n",
       "34      0.2%\n",
       "41     0.19%\n",
       "31     0.19%\n",
       "45     0.19%\n",
       "21     0.18%\n",
       "22     0.18%\n",
       "24     0.17%\n",
       "23     0.16%\n",
       "14     0.15%\n",
       "20     0.15%\n",
       "10     0.15%\n",
       "54     0.15%\n",
       "16     0.14%\n",
       "15     0.14%\n",
       "9      0.13%\n",
       "17     0.13%\n",
       "8      0.12%\n",
       "13     0.12%\n",
       "6      0.11%\n",
       "7      0.11%\n",
       "47     0.11%\n",
       "2       0.1%\n",
       "1       0.1%\n",
       "3       0.1%\n",
       "53     0.09%\n",
       "33     0.09%\n",
       "40     0.08%\n",
       "26     0.08%\n",
       "19     0.07%\n",
       "32     0.07%\n",
       "39     0.06%\n",
       "25     0.06%\n",
       "12     0.06%\n",
       "46     0.06%\n",
       "18     0.05%\n",
       "5      0.04%\n",
       "11     0.04%\n",
       "4      0.03%\n",
       "Name: count, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_on_test['count'].value_counts(normalize=True).mul(100).round(2).astype(str) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "97e2f6c5-7614-45a2-b3cd-1644ae75f1ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "bad_df = df_train_v1.index.isin(df_test['sku'])\n",
    "df_train_not_on_test = df_train_v1.loc[~bad_df]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b448c49f-88ac-40ee-bcbe-883d71521e55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.16559441744487954"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_train_not_on_test)/len(df_train_v1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5afdeb84-43f1-4232-b1dc-5174313b15cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
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       "      <td>18</td>\n",
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       "      <th>product_family_id</th>\n",
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       "      <td>9479</td>\n",
       "      <td>MLB12287867</td>\n",
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       "      <td>NaT</td>\n",
       "      <td>0.0999598</td>\n",
       "      <td>1.77009</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>467</td>\n",
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       "    <tr>\n",
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       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48.8425</td>\n",
       "      <td>127.863</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>44</td>\n",
       "      <td>14700</td>\n",
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       "    <tr>\n",
       "      <th>sold_quantity_mean</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.847821</td>\n",
       "      <td>2.2107</td>\n",
       "      <td>0.20339</td>\n",
       "      <td>0.288136</td>\n",
       "      <td>0.423729</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>249.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_std</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.79367</td>\n",
       "      <td>4.62067</td>\n",
       "      <td>0.405975</td>\n",
       "      <td>0.696069</td>\n",
       "      <td>0.987354</td>\n",
       "      <td>1.64229</td>\n",
       "      <td>638.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_min</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.82742e-05</td>\n",
       "      <td>0.00427481</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_max</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>8.84934</td>\n",
       "      <td>26.8559</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4901</td>\n",
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       "    <tr>\n",
       "      <th>sold_quantity_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.00995943</td>\n",
       "      <td>0.259205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.749948</td>\n",
       "      <td>0.128475</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.779661</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>0.983051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1783.26</td>\n",
       "      <td>304611</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49</td>\n",
       "      <td>123.97</td>\n",
       "      <td>329</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>748.426</td>\n",
       "      <td>7455.81</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48</td>\n",
       "      <td>119.97</td>\n",
       "      <td>302.192</td>\n",
       "      <td>1.46678e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_sum</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>49030.4</td>\n",
       "      <td>2.45689e+06</td>\n",
       "      <td>42</td>\n",
       "      <td>2826.1</td>\n",
       "      <td>7033.82</td>\n",
       "      <td>18331.6</td>\n",
       "      <td>8.0013e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mean</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>853.475</td>\n",
       "      <td>41659.1</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.471</td>\n",
       "      <td>120.265</td>\n",
       "      <td>317.308</td>\n",
       "      <td>1.35615e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_std</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>453.695</td>\n",
       "      <td>105297</td>\n",
       "      <td>0</td>\n",
       "      <td>7.16642e-15</td>\n",
       "      <td>2.29066</td>\n",
       "      <td>10.4824</td>\n",
       "      <td>3.45286e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_min</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>627.624</td>\n",
       "      <td>3436.76</td>\n",
       "      <td>0.87</td>\n",
       "      <td>44.9</td>\n",
       "      <td>109</td>\n",
       "      <td>297.5</td>\n",
       "      <td>204999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_max</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1961.54</td>\n",
       "      <td>304843</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49.99</td>\n",
       "      <td>129.99</td>\n",
       "      <td>350</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>701.715</td>\n",
       "      <td>4971.5</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.9</td>\n",
       "      <td>119.99</td>\n",
       "      <td>308.08</td>\n",
       "      <td>1e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732239</td>\n",
       "      <td>0.254291</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>0.525424</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1000.49</td>\n",
       "      <td>641.348</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>298.295</td>\n",
       "      <td>564.807</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_sum</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48629</td>\n",
       "      <td>23035.2</td>\n",
       "      <td>51.5216</td>\n",
       "      <td>29875</td>\n",
       "      <td>49065</td>\n",
       "      <td>68498.7</td>\n",
       "      <td>84960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mean</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>833.969</td>\n",
       "      <td>388.857</td>\n",
       "      <td>0.873248</td>\n",
       "      <td>519.36</td>\n",
       "      <td>846.951</td>\n",
       "      <td>1170.69</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_std</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>555.083</td>\n",
       "      <td>179.504</td>\n",
       "      <td>0</td>\n",
       "      <td>477.726</td>\n",
       "      <td>627.548</td>\n",
       "      <td>690.784</td>\n",
       "      <td>744.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_min</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.1394</td>\n",
       "      <td>236.796</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_max</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1437.97</td>\n",
       "      <td>38.727</td>\n",
       "      <td>42.9479</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>851.539</td>\n",
       "      <td>707.882</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.711014</td>\n",
       "      <td>0.150523</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.576271</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>5.12333e-05</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>56166</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>55368</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>54999</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.984682</td>\n",
       "      <td>0.0689751</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>84905</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>83784</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>96567</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.896086</td>\n",
       "      <td>0.154963</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_first</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>69051</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_last</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>68212</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>71081</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_tx</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.975671</td>\n",
       "      <td>0.090073</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_series</th>\n",
       "      <td>109444</td>\n",
       "      <td>109390</td>\n",
       "      <td>[9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>4</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 count  unique  \\\n",
       "item_domain_id                  109443    5837   \n",
       "item_id                         109444     NaN   \n",
       "item_title                      109444   89624   \n",
       "site_id                         109444       3   \n",
       "product_id                        6809    4979   \n",
       "product_family_id                16733    9479   \n",
       "count                           109444     NaN   \n",
       "date_first                      109444      56   \n",
       "date_last                       109444       1   \n",
       "date_diff                       109444     NaN   \n",
       "sold_quantity_first             109444     NaN   \n",
       "sold_quantity_last              109444     NaN   \n",
       "sold_quantity_sum               109444     NaN   \n",
       "sold_quantity_mean              109444     NaN   \n",
       "sold_quantity_std               109444     NaN   \n",
       "sold_quantity_min               109444     NaN   \n",
       "sold_quantity_max               109444     NaN   \n",
       "sold_quantity_mode              109444     NaN   \n",
       "sold_quantity_mode_tx           109444     NaN   \n",
       "current_price_first             109444     NaN   \n",
       "current_price_last              109444     NaN   \n",
       "current_price_sum               109444     NaN   \n",
       "current_price_mean              109444     NaN   \n",
       "current_price_std               109444     NaN   \n",
       "current_price_min               109444     NaN   \n",
       "current_price_max               109444     NaN   \n",
       "current_price_mode              109444     NaN   \n",
       "current_price_mode_tx           109444     NaN   \n",
       "minutes_active_first            109444     NaN   \n",
       "minutes_active_last             109444     NaN   \n",
       "minutes_active_sum              109444     NaN   \n",
       "minutes_active_mean             109444     NaN   \n",
       "minutes_active_std              109444     NaN   \n",
       "minutes_active_min              109444     NaN   \n",
       "minutes_active_max              109444     NaN   \n",
       "minutes_active_mode             109444     NaN   \n",
       "minutes_active_mode_tx          109444     NaN   \n",
       "currency_first                  109444       4   \n",
       "currency_last                   109444       4   \n",
       "currency_mode                   109444       4   \n",
       "currency_mode_tx                109444     NaN   \n",
       "listing_type_first              109444       2   \n",
       "listing_type_last               109444       2   \n",
       "listing_type_mode               109444       2   \n",
       "listing_type_mode_tx            109444     NaN   \n",
       "shipping_logistic_type_first    109444       3   \n",
       "shipping_logistic_type_last     109444       3   \n",
       "shipping_logistic_type_mode     109444       3   \n",
       "shipping_logistic_type_mode_tx  109444     NaN   \n",
       "shipping_payment_first          109444       2   \n",
       "shipping_payment_last           109444       2   \n",
       "shipping_payment_mode           109444       2   \n",
       "shipping_payment_mode_tx        109444     NaN   \n",
       "sold_quantity_series            109444  109390   \n",
       "\n",
       "                                                                              top  \\\n",
       "item_domain_id                                                    MLB-SUPPLEMENTS   \n",
       "item_id                                                                       NaN   \n",
       "item_title                      Capa Capinha Com Logo iPhone 5 6 7 8 Plus X Xr...   \n",
       "site_id                                                                       MLB   \n",
       "product_id                                                            MLM15283838   \n",
       "product_family_id                                                     MLB12287867   \n",
       "count                                                                         NaN   \n",
       "date_first                                                    2021-02-01 00:00:00   \n",
       "date_last                                                     2021-03-31 00:00:00   \n",
       "date_diff                                                                     NaN   \n",
       "sold_quantity_first                                                           NaN   \n",
       "sold_quantity_last                                                            NaN   \n",
       "sold_quantity_sum                                                             NaN   \n",
       "sold_quantity_mean                                                            NaN   \n",
       "sold_quantity_std                                                             NaN   \n",
       "sold_quantity_min                                                             NaN   \n",
       "sold_quantity_max                                                             NaN   \n",
       "sold_quantity_mode                                                            NaN   \n",
       "sold_quantity_mode_tx                                                         NaN   \n",
       "current_price_first                                                           NaN   \n",
       "current_price_last                                                            NaN   \n",
       "current_price_sum                                                             NaN   \n",
       "current_price_mean                                                            NaN   \n",
       "current_price_std                                                             NaN   \n",
       "current_price_min                                                             NaN   \n",
       "current_price_max                                                             NaN   \n",
       "current_price_mode                                                            NaN   \n",
       "current_price_mode_tx                                                         NaN   \n",
       "minutes_active_first                                                          NaN   \n",
       "minutes_active_last                                                           NaN   \n",
       "minutes_active_sum                                                            NaN   \n",
       "minutes_active_mean                                                           NaN   \n",
       "minutes_active_std                                                            NaN   \n",
       "minutes_active_min                                                            NaN   \n",
       "minutes_active_max                                                            NaN   \n",
       "minutes_active_mode                                                           NaN   \n",
       "minutes_active_mode_tx                                                        NaN   \n",
       "currency_first                                                                REA   \n",
       "currency_last                                                                 REA   \n",
       "currency_mode                                                                 REA   \n",
       "currency_mode_tx                                                              NaN   \n",
       "listing_type_first                                                        premium   \n",
       "listing_type_last                                                         classic   \n",
       "listing_type_mode                                                         premium   \n",
       "listing_type_mode_tx                                                          NaN   \n",
       "shipping_logistic_type_first                                          fulfillment   \n",
       "shipping_logistic_type_last                                           fulfillment   \n",
       "shipping_logistic_type_mode                                           fulfillment   \n",
       "shipping_logistic_type_mode_tx                                                NaN   \n",
       "shipping_payment_first                                              paid_shipping   \n",
       "shipping_payment_last                                               paid_shipping   \n",
       "shipping_payment_mode                                               paid_shipping   \n",
       "shipping_payment_mode_tx                                                      NaN   \n",
       "sold_quantity_series            [9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "\n",
       "                                  freq      first       last         mean  \\\n",
       "item_domain_id                    1606        NaT        NaT          NaN   \n",
       "item_id                            NaN        NaT        NaT       259791   \n",
       "item_title                          82        NaT        NaT          NaN   \n",
       "site_id                          55036        NaT        NaT          NaN   \n",
       "product_id                          18        NaT        NaT          NaN   \n",
       "product_family_id                   79        NaT        NaT          NaN   \n",
       "count                              NaN        NaT        NaT      58.2568   \n",
       "date_first                      103826 2021-02-01 2021-03-29          NaN   \n",
       "date_last                       109444 2021-03-31 2021-03-31          NaN   \n",
       "date_diff                          NaN        NaT        NaT      57.2568   \n",
       "sold_quantity_first                NaN        NaT        NaT      1.14768   \n",
       "sold_quantity_last                 NaN        NaT        NaT    0.0999598   \n",
       "sold_quantity_sum                  NaN        NaT        NaT      48.8425   \n",
       "sold_quantity_mean                 NaN        NaT        NaT     0.847821   \n",
       "sold_quantity_std                  NaN        NaT        NaT      1.79367   \n",
       "sold_quantity_min                  NaN        NaT        NaT  1.82742e-05   \n",
       "sold_quantity_max                  NaN        NaT        NaT      8.84934   \n",
       "sold_quantity_mode                 NaN        NaT        NaT   0.00995943   \n",
       "sold_quantity_mode_tx              NaN        NaT        NaT     0.749948   \n",
       "current_price_first                NaN        NaT        NaT      1783.26   \n",
       "current_price_last                 NaN        NaT        NaT      748.426   \n",
       "current_price_sum                  NaN        NaT        NaT      49030.4   \n",
       "current_price_mean                 NaN        NaT        NaT      853.475   \n",
       "current_price_std                  NaN        NaT        NaT      453.695   \n",
       "current_price_min                  NaN        NaT        NaT      627.624   \n",
       "current_price_max                  NaN        NaT        NaT      1961.54   \n",
       "current_price_mode                 NaN        NaT        NaT      701.715   \n",
       "current_price_mode_tx              NaN        NaT        NaT     0.732239   \n",
       "minutes_active_first               NaN        NaT        NaT      1000.49   \n",
       "minutes_active_last                NaN        NaT        NaT      298.295   \n",
       "minutes_active_sum                 NaN        NaT        NaT        48629   \n",
       "minutes_active_mean                NaN        NaT        NaT      833.969   \n",
       "minutes_active_std                 NaN        NaT        NaT      555.083   \n",
       "minutes_active_min                 NaN        NaT        NaT      56.1394   \n",
       "minutes_active_max                 NaN        NaT        NaT      1437.97   \n",
       "minutes_active_mode                NaN        NaT        NaT      851.539   \n",
       "minutes_active_mode_tx             NaN        NaT        NaT     0.711014   \n",
       "currency_first                   55036        NaT        NaT          NaN   \n",
       "currency_last                    55036        NaT        NaT          NaN   \n",
       "currency_mode                    55036        NaT        NaT          NaN   \n",
       "currency_mode_tx                   NaN        NaT        NaT            1   \n",
       "listing_type_first               56166        NaT        NaT          NaN   \n",
       "listing_type_last                55368        NaT        NaT          NaN   \n",
       "listing_type_mode                54999        NaT        NaT          NaN   \n",
       "listing_type_mode_tx               NaN        NaT        NaT     0.984682   \n",
       "shipping_logistic_type_first     84905        NaT        NaT          NaN   \n",
       "shipping_logistic_type_last      83784        NaT        NaT          NaN   \n",
       "shipping_logistic_type_mode      96567        NaT        NaT          NaN   \n",
       "shipping_logistic_type_mode_tx     NaN        NaT        NaT     0.896086   \n",
       "shipping_payment_first           69051        NaT        NaT          NaN   \n",
       "shipping_payment_last            68212        NaT        NaT          NaN   \n",
       "shipping_payment_mode            71081        NaT        NaT          NaN   \n",
       "shipping_payment_mode_tx           NaN        NaT        NaT     0.975671   \n",
       "sold_quantity_series                 4        NaT        NaT          NaN   \n",
       "\n",
       "                                        std        min          25%       50%  \\\n",
       "item_domain_id                          NaN        NaN          NaN       NaN   \n",
       "item_id                              149611          1       130212    259818   \n",
       "item_title                              NaN        NaN          NaN       NaN   \n",
       "site_id                                 NaN        NaN          NaN       NaN   \n",
       "product_id                              NaN        NaN          NaN       NaN   \n",
       "product_family_id                       NaN        NaN          NaN       NaN   \n",
       "count                               4.17247          3           59        59   \n",
       "date_first                              NaN        NaN          NaN       NaN   \n",
       "date_last                               NaN        NaN          NaN       NaN   \n",
       "date_diff                           4.17247          2           58        58   \n",
       "sold_quantity_first                 7.53307          0            0         0   \n",
       "sold_quantity_last                  1.77009          0            0         0   \n",
       "sold_quantity_sum                   127.863          5           17        25   \n",
       "sold_quantity_mean                   2.2107    0.20339     0.288136  0.423729   \n",
       "sold_quantity_std                   4.62067   0.405975     0.696069  0.987354   \n",
       "sold_quantity_min                0.00427481          0            0         0   \n",
       "sold_quantity_max                   26.8559          1            3         5   \n",
       "sold_quantity_mode                 0.259205          0            0         0   \n",
       "sold_quantity_mode_tx              0.128475  0.0508475     0.694915  0.779661   \n",
       "current_price_first                  304611       0.87           49    123.97   \n",
       "current_price_last                  7455.81       0.87           48    119.97   \n",
       "current_price_sum               2.45689e+06         42       2826.1   7033.82   \n",
       "current_price_mean                  41659.1       0.87       48.471   120.265   \n",
       "current_price_std                    105297          0  7.16642e-15   2.29066   \n",
       "current_price_min                   3436.76       0.87         44.9       109   \n",
       "current_price_max                    304843       0.87        49.99    129.99   \n",
       "current_price_mode                   4971.5       0.87         48.9    119.99   \n",
       "current_price_mode_tx              0.254291  0.0508475     0.525424  0.762712   \n",
       "minutes_active_first                641.348          0            0      1440   \n",
       "minutes_active_last                 564.807          0            0         0   \n",
       "minutes_active_sum                  23035.2    51.5216        29875     49065   \n",
       "minutes_active_mean                 388.857   0.873248       519.36   846.951   \n",
       "minutes_active_std                  179.504          0      477.726   627.548   \n",
       "minutes_active_min                  236.796          0            0         0   \n",
       "minutes_active_max                   38.727    42.9479         1440      1440   \n",
       "minutes_active_mode                 707.882          0            0      1440   \n",
       "minutes_active_mode_tx             0.150523   0.166667     0.576271  0.694915   \n",
       "currency_first                          NaN        NaN          NaN       NaN   \n",
       "currency_last                           NaN        NaN          NaN       NaN   \n",
       "currency_mode                           NaN        NaN          NaN       NaN   \n",
       "currency_mode_tx                5.12333e-05   0.983051            1         1   \n",
       "listing_type_first                      NaN        NaN          NaN       NaN   \n",
       "listing_type_last                       NaN        NaN          NaN       NaN   \n",
       "listing_type_mode                       NaN        NaN          NaN       NaN   \n",
       "listing_type_mode_tx              0.0689751        0.5            1         1   \n",
       "shipping_logistic_type_first            NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_last             NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_mode             NaN        NaN          NaN       NaN   \n",
       "shipping_logistic_type_mode_tx     0.154963   0.333333      0.79661         1   \n",
       "shipping_payment_first                  NaN        NaN          NaN       NaN   \n",
       "shipping_payment_last                   NaN        NaN          NaN       NaN   \n",
       "shipping_payment_mode                   NaN        NaN          NaN       NaN   \n",
       "shipping_payment_mode_tx           0.090073        0.5            1         1   \n",
       "sold_quantity_series                    NaN        NaN          NaN       NaN   \n",
       "\n",
       "                                     75%          max  \n",
       "item_domain_id                       NaN          NaN  \n",
       "item_id                           389503       517866  \n",
       "item_title                           NaN          NaN  \n",
       "site_id                              NaN          NaN  \n",
       "product_id                           NaN          NaN  \n",
       "product_family_id                    NaN          NaN  \n",
       "count                                 59           59  \n",
       "date_first                           NaN          NaN  \n",
       "date_last                            NaN          NaN  \n",
       "date_diff                             58           58  \n",
       "sold_quantity_first                    1         1168  \n",
       "sold_quantity_last                     0          467  \n",
       "sold_quantity_sum                     44        14700  \n",
       "sold_quantity_mean              0.762712      249.153  \n",
       "sold_quantity_std                1.64229      638.043  \n",
       "sold_quantity_min                      0            1  \n",
       "sold_quantity_max                      8         4901  \n",
       "sold_quantity_mode                     0           28  \n",
       "sold_quantity_mode_tx           0.830508     0.983051  \n",
       "current_price_first                  329        1e+08  \n",
       "current_price_last               302.192  1.46678e+06  \n",
       "current_price_sum                18331.6   8.0013e+08  \n",
       "current_price_mean               317.308  1.35615e+07  \n",
       "current_price_std                10.4824  3.45286e+07  \n",
       "current_price_min                  297.5       204999  \n",
       "current_price_max                    350        1e+08  \n",
       "current_price_mode                308.08        1e+06  \n",
       "current_price_mode_tx                  1            1  \n",
       "minutes_active_first                1440         1440  \n",
       "minutes_active_last                    0         1440  \n",
       "minutes_active_sum               68498.7        84960  \n",
       "minutes_active_mean              1170.69         1440  \n",
       "minutes_active_std               690.784      744.197  \n",
       "minutes_active_min                     0         1440  \n",
       "minutes_active_max                  1440         1440  \n",
       "minutes_active_mode                 1440         1440  \n",
       "minutes_active_mode_tx          0.830508            1  \n",
       "currency_first                       NaN          NaN  \n",
       "currency_last                        NaN          NaN  \n",
       "currency_mode                        NaN          NaN  \n",
       "currency_mode_tx                       1            1  \n",
       "listing_type_first                   NaN          NaN  \n",
       "listing_type_last                    NaN          NaN  \n",
       "listing_type_mode                    NaN          NaN  \n",
       "listing_type_mode_tx                   1            1  \n",
       "shipping_logistic_type_first         NaN          NaN  \n",
       "shipping_logistic_type_last          NaN          NaN  \n",
       "shipping_logistic_type_mode          NaN          NaN  \n",
       "shipping_logistic_type_mode_tx         1            1  \n",
       "shipping_payment_first               NaN          NaN  \n",
       "shipping_payment_last                NaN          NaN  \n",
       "shipping_payment_mode                NaN          NaN  \n",
       "shipping_payment_mode_tx               1            1  \n",
       "sold_quantity_series                 NaN          NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_not_on_test.describe(include='all').transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bb8a9093-0e9e-42de-a756-323274187801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "59    94.87%\n",
       "56     0.47%\n",
       "58      0.4%\n",
       "57     0.28%\n",
       "48     0.27%\n",
       "55     0.25%\n",
       "50     0.22%\n",
       "51     0.22%\n",
       "52     0.22%\n",
       "49     0.22%\n",
       "42     0.17%\n",
       "41     0.14%\n",
       "45     0.14%\n",
       "44     0.14%\n",
       "43     0.14%\n",
       "54     0.13%\n",
       "38     0.12%\n",
       "31     0.12%\n",
       "36     0.12%\n",
       "34     0.11%\n",
       "37     0.11%\n",
       "30      0.1%\n",
       "35      0.1%\n",
       "29     0.09%\n",
       "53     0.07%\n",
       "24     0.07%\n",
       "28     0.07%\n",
       "47     0.06%\n",
       "27     0.05%\n",
       "21     0.04%\n",
       "20     0.04%\n",
       "40     0.04%\n",
       "39     0.04%\n",
       "23     0.04%\n",
       "22     0.04%\n",
       "33     0.03%\n",
       "32     0.03%\n",
       "46     0.03%\n",
       "17     0.02%\n",
       "19     0.02%\n",
       "15     0.02%\n",
       "13     0.02%\n",
       "26     0.02%\n",
       "16     0.02%\n",
       "25     0.02%\n",
       "10     0.01%\n",
       "14     0.01%\n",
       "8      0.01%\n",
       "9      0.01%\n",
       "7      0.01%\n",
       "12     0.01%\n",
       "18      0.0%\n",
       "6       0.0%\n",
       "3       0.0%\n",
       "11      0.0%\n",
       "5       0.0%\n",
       "Name: count, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train_not_on_test['count'].value_counts(normalize=True).mul(100).round(2).astype(str) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "f990bdce-bb18-4cc5-b08c-1cb81e5ac292",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:2: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \n",
      "/opt/conda/envs/torch/lib/python3.6/site-packages/ipykernel_launcher.py:2: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "describ_test = df_train_on_test.describe(include='all')\n",
    "describ_train_only = df_train_not_on_test.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "86db6e33-e623-41ca-b214-5e8b3be51a5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "describ_test.columns = describ_test.columns + '_TEST'\n",
    "describ_train_only.columns = describ_train_only.columns + '_TRAIN'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "aa0e8ba1-4522-4357-87ec-c44de8629cc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "      <th>first</th>\n",
       "      <th>last</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>item_domain_id_TEST</th>\n",
       "      <td>551470</td>\n",
       "      <td>8243</td>\n",
       "      <td>MLB-SUPPLEMENTS</td>\n",
       "      <td>12032</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_domain_id_TRAIN</th>\n",
       "      <td>109443</td>\n",
       "      <td>5837</td>\n",
       "      <td>MLB-SUPPLEMENTS</td>\n",
       "      <td>1606</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_id_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>259013</td>\n",
       "      <td>149412</td>\n",
       "      <td>0</td>\n",
       "      <td>129796</td>\n",
       "      <td>259092</td>\n",
       "      <td>388294</td>\n",
       "      <td>517895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_id_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>259791</td>\n",
       "      <td>149611</td>\n",
       "      <td>1</td>\n",
       "      <td>130212</td>\n",
       "      <td>259818</td>\n",
       "      <td>389503</td>\n",
       "      <td>517866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_title_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>407133</td>\n",
       "      <td>Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...</td>\n",
       "      <td>164</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_title_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>89624</td>\n",
       "      <td>Capa Capinha Com Logo iPhone 5 6 7 8 Plus X Xr...</td>\n",
       "      <td>82</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>site_id_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>MLB</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>site_id_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>MLB</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_id_TEST</th>\n",
       "      <td>22859</td>\n",
       "      <td>13443</td>\n",
       "      <td>MLB6125887</td>\n",
       "      <td>28</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_id_TRAIN</th>\n",
       "      <td>6809</td>\n",
       "      <td>4979</td>\n",
       "      <td>MLM15283838</td>\n",
       "      <td>18</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_family_id_TEST</th>\n",
       "      <td>66451</td>\n",
       "      <td>25983</td>\n",
       "      <td>MLB12287867</td>\n",
       "      <td>183</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_family_id_TRAIN</th>\n",
       "      <td>16733</td>\n",
       "      <td>9479</td>\n",
       "      <td>MLB12287867</td>\n",
       "      <td>79</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>count_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>count_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>58.2568</td>\n",
       "      <td>4.17247</td>\n",
       "      <td>3</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>59</td>\n",
       "      <td>2021-02-01 00:00:00</td>\n",
       "      <td>500404</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>56</td>\n",
       "      <td>2021-02-01 00:00:00</td>\n",
       "      <td>103826</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31 00:00:00</td>\n",
       "      <td>551472</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-31 00:00:00</td>\n",
       "      <td>109444</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_diff_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>55.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date_diff_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>57.2568</td>\n",
       "      <td>4.17247</td>\n",
       "      <td>2</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.927949</td>\n",
       "      <td>11.7502</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.14768</td>\n",
       "      <td>7.53307</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.16318</td>\n",
       "      <td>8.15049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.0999598</td>\n",
       "      <td>1.77009</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_sum_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>57.9207</td>\n",
       "      <td>442.711</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>137528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_sum_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48.8425</td>\n",
       "      <td>127.863</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>44</td>\n",
       "      <td>14700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mean_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.00985</td>\n",
       "      <td>7.58665</td>\n",
       "      <td>0</td>\n",
       "      <td>0.170213</td>\n",
       "      <td>0.322034</td>\n",
       "      <td>0.711864</td>\n",
       "      <td>2330.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mean_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.847821</td>\n",
       "      <td>2.2107</td>\n",
       "      <td>0.20339</td>\n",
       "      <td>0.288136</td>\n",
       "      <td>0.423729</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>249.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_std_TEST</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.47498</td>\n",
       "      <td>7.32215</td>\n",
       "      <td>0</td>\n",
       "      <td>0.471886</td>\n",
       "      <td>0.709788</td>\n",
       "      <td>1.25898</td>\n",
       "      <td>1459.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_std_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.79367</td>\n",
       "      <td>4.62067</td>\n",
       "      <td>0.405975</td>\n",
       "      <td>0.696069</td>\n",
       "      <td>0.987354</td>\n",
       "      <td>1.64229</td>\n",
       "      <td>638.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_min_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.0229259</td>\n",
       "      <td>1.5554</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_min_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.82742e-05</td>\n",
       "      <td>0.00427481</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_max_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>6.95899</td>\n",
       "      <td>37.7742</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_max_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>8.84934</td>\n",
       "      <td>26.8559</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.159754</td>\n",
       "      <td>3.89943</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.00995943</td>\n",
       "      <td>0.259205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.735851</td>\n",
       "      <td>0.194442</td>\n",
       "      <td>0.0169492</td>\n",
       "      <td>0.644068</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.749948</td>\n",
       "      <td>0.128475</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.779661</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>0.983051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4648.15</td>\n",
       "      <td>1.90544e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.97</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1783.26</td>\n",
       "      <td>304611</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49</td>\n",
       "      <td>123.97</td>\n",
       "      <td>329</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2628.74</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.89</td>\n",
       "      <td>119</td>\n",
       "      <td>298</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>748.426</td>\n",
       "      <td>7455.81</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48</td>\n",
       "      <td>119.97</td>\n",
       "      <td>302.192</td>\n",
       "      <td>1.46678e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_sum_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>151283</td>\n",
       "      <td>7.94913e+07</td>\n",
       "      <td>1.93</td>\n",
       "      <td>2695.71</td>\n",
       "      <td>6484.1</td>\n",
       "      <td>17403</td>\n",
       "      <td>5.9e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_sum_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>49030.4</td>\n",
       "      <td>2.45689e+06</td>\n",
       "      <td>42</td>\n",
       "      <td>2826.1</td>\n",
       "      <td>7033.82</td>\n",
       "      <td>18331.6</td>\n",
       "      <td>8.0013e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mean_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2774.35</td>\n",
       "      <td>1.34824e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.6508</td>\n",
       "      <td>118.476</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mean_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>853.475</td>\n",
       "      <td>41659.1</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.471</td>\n",
       "      <td>120.265</td>\n",
       "      <td>317.308</td>\n",
       "      <td>1.35615e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_std_TEST</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>409.6</td>\n",
       "      <td>206788</td>\n",
       "      <td>0</td>\n",
       "      <td>7.16642e-15</td>\n",
       "      <td>1.96037</td>\n",
       "      <td>9.19986</td>\n",
       "      <td>1.52499e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_std_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>453.695</td>\n",
       "      <td>105297</td>\n",
       "      <td>0</td>\n",
       "      <td>7.16642e-15</td>\n",
       "      <td>2.29066</td>\n",
       "      <td>10.4824</td>\n",
       "      <td>3.45286e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_min_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2585.07</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>45</td>\n",
       "      <td>106.9</td>\n",
       "      <td>289</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_min_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>627.624</td>\n",
       "      <td>3436.76</td>\n",
       "      <td>0.87</td>\n",
       "      <td>44.9</td>\n",
       "      <td>109</td>\n",
       "      <td>297.5</td>\n",
       "      <td>204999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_max_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4807.43</td>\n",
       "      <td>1.90589e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49.9</td>\n",
       "      <td>127</td>\n",
       "      <td>319.2</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_max_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1961.54</td>\n",
       "      <td>304843</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49.99</td>\n",
       "      <td>129.99</td>\n",
       "      <td>350</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2756.93</td>\n",
       "      <td>1.34841e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>701.715</td>\n",
       "      <td>4971.5</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.9</td>\n",
       "      <td>119.99</td>\n",
       "      <td>308.08</td>\n",
       "      <td>1e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732237</td>\n",
       "      <td>0.257756</td>\n",
       "      <td>0.0338983</td>\n",
       "      <td>0.525424</td>\n",
       "      <td>0.763158</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_price_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732239</td>\n",
       "      <td>0.254291</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>0.525424</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>962.726</td>\n",
       "      <td>648.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1000.49</td>\n",
       "      <td>641.348</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1153.29</td>\n",
       "      <td>559.689</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>298.295</td>\n",
       "      <td>564.807</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_sum_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>61604.5</td>\n",
       "      <td>24132.8</td>\n",
       "      <td>0</td>\n",
       "      <td>45473.8</td>\n",
       "      <td>69265.7</td>\n",
       "      <td>84074</td>\n",
       "      <td>84960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_sum_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48629</td>\n",
       "      <td>23035.2</td>\n",
       "      <td>51.5216</td>\n",
       "      <td>29875</td>\n",
       "      <td>49065</td>\n",
       "      <td>68498.7</td>\n",
       "      <td>84960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mean_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1080.75</td>\n",
       "      <td>389.704</td>\n",
       "      <td>0</td>\n",
       "      <td>840.812</td>\n",
       "      <td>1216.92</td>\n",
       "      <td>1426.33</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mean_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>833.969</td>\n",
       "      <td>388.857</td>\n",
       "      <td>0.873248</td>\n",
       "      <td>519.36</td>\n",
       "      <td>846.951</td>\n",
       "      <td>1170.69</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_std_TEST</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.107</td>\n",
       "      <td>274.901</td>\n",
       "      <td>0</td>\n",
       "      <td>50.1308</td>\n",
       "      <td>462.905</td>\n",
       "      <td>649.885</td>\n",
       "      <td>1003.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_std_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>555.083</td>\n",
       "      <td>179.504</td>\n",
       "      <td>0</td>\n",
       "      <td>477.726</td>\n",
       "      <td>627.548</td>\n",
       "      <td>690.784</td>\n",
       "      <td>744.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_min_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.415</td>\n",
       "      <td>606.448</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>883.064</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_min_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.1394</td>\n",
       "      <td>236.796</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_max_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1418.05</td>\n",
       "      <td>171.876</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_max_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1437.97</td>\n",
       "      <td>38.727</td>\n",
       "      <td>42.9479</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1156.89</td>\n",
       "      <td>571.839</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>851.539</td>\n",
       "      <td>707.882</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.80573</td>\n",
       "      <td>0.174364</td>\n",
       "      <td>0.0714286</td>\n",
       "      <td>0.661017</td>\n",
       "      <td>0.847458</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minutes_active_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.711014</td>\n",
       "      <td>0.150523</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.576271</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>4</td>\n",
       "      <td>REA</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>4.56474e-05</td>\n",
       "      <td>0.966102</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>currency_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>5.12333e-05</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>276601</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>56166</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>283659</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>55368</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>classic</td>\n",
       "      <td>277876</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>premium</td>\n",
       "      <td>54999</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.983636</td>\n",
       "      <td>0.0714636</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>listing_type_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.984682</td>\n",
       "      <td>0.0689751</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>404596</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>84905</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>505967</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>83784</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>479789</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>3</td>\n",
       "      <td>fulfillment</td>\n",
       "      <td>96567</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.916043</td>\n",
       "      <td>0.142902</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_logistic_type_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.896086</td>\n",
       "      <td>0.154963</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_first_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>369742</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_first_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>69051</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_last_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>359044</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_last_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>68212</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>374447</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>2</td>\n",
       "      <td>paid_shipping</td>\n",
       "      <td>71081</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_tx_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.977907</td>\n",
       "      <td>0.086192</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shipping_payment_mode_tx_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.975671</td>\n",
       "      <td>0.090073</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_series_TEST</th>\n",
       "      <td>551472</td>\n",
       "      <td>514917</td>\n",
       "      <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>14307</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sold_quantity_series_TRAIN</th>\n",
       "      <td>109444</td>\n",
       "      <td>109390</td>\n",
       "      <td>[9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>4</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       count  unique  \\\n",
       "item_domain_id_TEST                   551470    8243   \n",
       "item_domain_id_TRAIN                  109443    5837   \n",
       "item_id_TEST                          551472     NaN   \n",
       "item_id_TRAIN                         109444     NaN   \n",
       "item_title_TEST                       551472  407133   \n",
       "item_title_TRAIN                      109444   89624   \n",
       "site_id_TEST                          551472       3   \n",
       "site_id_TRAIN                         109444       3   \n",
       "product_id_TEST                        22859   13443   \n",
       "product_id_TRAIN                        6809    4979   \n",
       "product_family_id_TEST                 66451   25983   \n",
       "product_family_id_TRAIN                16733    9479   \n",
       "count_TEST                            551472     NaN   \n",
       "count_TRAIN                           109444     NaN   \n",
       "date_first_TEST                       551472      59   \n",
       "date_first_TRAIN                      109444      56   \n",
       "date_last_TEST                        551472       1   \n",
       "date_last_TRAIN                       109444       1   \n",
       "date_diff_TEST                        551472     NaN   \n",
       "date_diff_TRAIN                       109444     NaN   \n",
       "sold_quantity_first_TEST              551472     NaN   \n",
       "sold_quantity_first_TRAIN             109444     NaN   \n",
       "sold_quantity_last_TEST               551472     NaN   \n",
       "sold_quantity_last_TRAIN              109444     NaN   \n",
       "sold_quantity_sum_TEST                551472     NaN   \n",
       "sold_quantity_sum_TRAIN               109444     NaN   \n",
       "sold_quantity_mean_TEST               551472     NaN   \n",
       "sold_quantity_mean_TRAIN              109444     NaN   \n",
       "sold_quantity_std_TEST                550920     NaN   \n",
       "sold_quantity_std_TRAIN               109444     NaN   \n",
       "sold_quantity_min_TEST                551472     NaN   \n",
       "sold_quantity_min_TRAIN               109444     NaN   \n",
       "sold_quantity_max_TEST                551472     NaN   \n",
       "sold_quantity_max_TRAIN               109444     NaN   \n",
       "sold_quantity_mode_TEST               551472     NaN   \n",
       "sold_quantity_mode_TRAIN              109444     NaN   \n",
       "sold_quantity_mode_tx_TEST            551472     NaN   \n",
       "sold_quantity_mode_tx_TRAIN           109444     NaN   \n",
       "current_price_first_TEST              551472     NaN   \n",
       "current_price_first_TRAIN             109444     NaN   \n",
       "current_price_last_TEST               551472     NaN   \n",
       "current_price_last_TRAIN              109444     NaN   \n",
       "current_price_sum_TEST                551472     NaN   \n",
       "current_price_sum_TRAIN               109444     NaN   \n",
       "current_price_mean_TEST               551472     NaN   \n",
       "current_price_mean_TRAIN              109444     NaN   \n",
       "current_price_std_TEST                550920     NaN   \n",
       "current_price_std_TRAIN               109444     NaN   \n",
       "current_price_min_TEST                551472     NaN   \n",
       "current_price_min_TRAIN               109444     NaN   \n",
       "current_price_max_TEST                551472     NaN   \n",
       "current_price_max_TRAIN               109444     NaN   \n",
       "current_price_mode_TEST               551472     NaN   \n",
       "current_price_mode_TRAIN              109444     NaN   \n",
       "current_price_mode_tx_TEST            551472     NaN   \n",
       "current_price_mode_tx_TRAIN           109444     NaN   \n",
       "minutes_active_first_TEST             551472     NaN   \n",
       "minutes_active_first_TRAIN            109444     NaN   \n",
       "minutes_active_last_TEST              551472     NaN   \n",
       "minutes_active_last_TRAIN             109444     NaN   \n",
       "minutes_active_sum_TEST               551472     NaN   \n",
       "minutes_active_sum_TRAIN              109444     NaN   \n",
       "minutes_active_mean_TEST              551472     NaN   \n",
       "minutes_active_mean_TRAIN             109444     NaN   \n",
       "minutes_active_std_TEST               550920     NaN   \n",
       "minutes_active_std_TRAIN              109444     NaN   \n",
       "minutes_active_min_TEST               551472     NaN   \n",
       "minutes_active_min_TRAIN              109444     NaN   \n",
       "minutes_active_max_TEST               551472     NaN   \n",
       "minutes_active_max_TRAIN              109444     NaN   \n",
       "minutes_active_mode_TEST              551472     NaN   \n",
       "minutes_active_mode_TRAIN             109444     NaN   \n",
       "minutes_active_mode_tx_TEST           551472     NaN   \n",
       "minutes_active_mode_tx_TRAIN          109444     NaN   \n",
       "currency_first_TEST                   551472       4   \n",
       "currency_first_TRAIN                  109444       4   \n",
       "currency_last_TEST                    551472       4   \n",
       "currency_last_TRAIN                   109444       4   \n",
       "currency_mode_TEST                    551472       4   \n",
       "currency_mode_TRAIN                   109444       4   \n",
       "currency_mode_tx_TEST                 551472     NaN   \n",
       "currency_mode_tx_TRAIN                109444     NaN   \n",
       "listing_type_first_TEST               551472       2   \n",
       "listing_type_first_TRAIN              109444       2   \n",
       "listing_type_last_TEST                551472       2   \n",
       "listing_type_last_TRAIN               109444       2   \n",
       "listing_type_mode_TEST                551472       2   \n",
       "listing_type_mode_TRAIN               109444       2   \n",
       "listing_type_mode_tx_TEST             551472     NaN   \n",
       "listing_type_mode_tx_TRAIN            109444     NaN   \n",
       "shipping_logistic_type_first_TEST     551472       3   \n",
       "shipping_logistic_type_first_TRAIN    109444       3   \n",
       "shipping_logistic_type_last_TEST      551472       3   \n",
       "shipping_logistic_type_last_TRAIN     109444       3   \n",
       "shipping_logistic_type_mode_TEST      551472       3   \n",
       "shipping_logistic_type_mode_TRAIN     109444       3   \n",
       "shipping_logistic_type_mode_tx_TEST   551472     NaN   \n",
       "shipping_logistic_type_mode_tx_TRAIN  109444     NaN   \n",
       "shipping_payment_first_TEST           551472       2   \n",
       "shipping_payment_first_TRAIN          109444       2   \n",
       "shipping_payment_last_TEST            551472       2   \n",
       "shipping_payment_last_TRAIN           109444       2   \n",
       "shipping_payment_mode_TEST            551472       2   \n",
       "shipping_payment_mode_TRAIN           109444       2   \n",
       "shipping_payment_mode_tx_TEST         551472     NaN   \n",
       "shipping_payment_mode_tx_TRAIN        109444     NaN   \n",
       "sold_quantity_series_TEST             551472  514917   \n",
       "sold_quantity_series_TRAIN            109444  109390   \n",
       "\n",
       "                                                                                    top  \\\n",
       "item_domain_id_TEST                                                     MLB-SUPPLEMENTS   \n",
       "item_domain_id_TRAIN                                                    MLB-SUPPLEMENTS   \n",
       "item_id_TEST                                                                        NaN   \n",
       "item_id_TRAIN                                                                       NaN   \n",
       "item_title_TEST                       Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...   \n",
       "item_title_TRAIN                      Capa Capinha Com Logo iPhone 5 6 7 8 Plus X Xr...   \n",
       "site_id_TEST                                                                        MLB   \n",
       "site_id_TRAIN                                                                       MLB   \n",
       "product_id_TEST                                                              MLB6125887   \n",
       "product_id_TRAIN                                                            MLM15283838   \n",
       "product_family_id_TEST                                                      MLB12287867   \n",
       "product_family_id_TRAIN                                                     MLB12287867   \n",
       "count_TEST                                                                          NaN   \n",
       "count_TRAIN                                                                         NaN   \n",
       "date_first_TEST                                                     2021-02-01 00:00:00   \n",
       "date_first_TRAIN                                                    2021-02-01 00:00:00   \n",
       "date_last_TEST                                                      2021-03-31 00:00:00   \n",
       "date_last_TRAIN                                                     2021-03-31 00:00:00   \n",
       "date_diff_TEST                                                                      NaN   \n",
       "date_diff_TRAIN                                                                     NaN   \n",
       "sold_quantity_first_TEST                                                            NaN   \n",
       "sold_quantity_first_TRAIN                                                           NaN   \n",
       "sold_quantity_last_TEST                                                             NaN   \n",
       "sold_quantity_last_TRAIN                                                            NaN   \n",
       "sold_quantity_sum_TEST                                                              NaN   \n",
       "sold_quantity_sum_TRAIN                                                             NaN   \n",
       "sold_quantity_mean_TEST                                                             NaN   \n",
       "sold_quantity_mean_TRAIN                                                            NaN   \n",
       "sold_quantity_std_TEST                                                              NaN   \n",
       "sold_quantity_std_TRAIN                                                             NaN   \n",
       "sold_quantity_min_TEST                                                              NaN   \n",
       "sold_quantity_min_TRAIN                                                             NaN   \n",
       "sold_quantity_max_TEST                                                              NaN   \n",
       "sold_quantity_max_TRAIN                                                             NaN   \n",
       "sold_quantity_mode_TEST                                                             NaN   \n",
       "sold_quantity_mode_TRAIN                                                            NaN   \n",
       "sold_quantity_mode_tx_TEST                                                          NaN   \n",
       "sold_quantity_mode_tx_TRAIN                                                         NaN   \n",
       "current_price_first_TEST                                                            NaN   \n",
       "current_price_first_TRAIN                                                           NaN   \n",
       "current_price_last_TEST                                                             NaN   \n",
       "current_price_last_TRAIN                                                            NaN   \n",
       "current_price_sum_TEST                                                              NaN   \n",
       "current_price_sum_TRAIN                                                             NaN   \n",
       "current_price_mean_TEST                                                             NaN   \n",
       "current_price_mean_TRAIN                                                            NaN   \n",
       "current_price_std_TEST                                                              NaN   \n",
       "current_price_std_TRAIN                                                             NaN   \n",
       "current_price_min_TEST                                                              NaN   \n",
       "current_price_min_TRAIN                                                             NaN   \n",
       "current_price_max_TEST                                                              NaN   \n",
       "current_price_max_TRAIN                                                             NaN   \n",
       "current_price_mode_TEST                                                             NaN   \n",
       "current_price_mode_TRAIN                                                            NaN   \n",
       "current_price_mode_tx_TEST                                                          NaN   \n",
       "current_price_mode_tx_TRAIN                                                         NaN   \n",
       "minutes_active_first_TEST                                                           NaN   \n",
       "minutes_active_first_TRAIN                                                          NaN   \n",
       "minutes_active_last_TEST                                                            NaN   \n",
       "minutes_active_last_TRAIN                                                           NaN   \n",
       "minutes_active_sum_TEST                                                             NaN   \n",
       "minutes_active_sum_TRAIN                                                            NaN   \n",
       "minutes_active_mean_TEST                                                            NaN   \n",
       "minutes_active_mean_TRAIN                                                           NaN   \n",
       "minutes_active_std_TEST                                                             NaN   \n",
       "minutes_active_std_TRAIN                                                            NaN   \n",
       "minutes_active_min_TEST                                                             NaN   \n",
       "minutes_active_min_TRAIN                                                            NaN   \n",
       "minutes_active_max_TEST                                                             NaN   \n",
       "minutes_active_max_TRAIN                                                            NaN   \n",
       "minutes_active_mode_TEST                                                            NaN   \n",
       "minutes_active_mode_TRAIN                                                           NaN   \n",
       "minutes_active_mode_tx_TEST                                                         NaN   \n",
       "minutes_active_mode_tx_TRAIN                                                        NaN   \n",
       "currency_first_TEST                                                                 REA   \n",
       "currency_first_TRAIN                                                                REA   \n",
       "currency_last_TEST                                                                  REA   \n",
       "currency_last_TRAIN                                                                 REA   \n",
       "currency_mode_TEST                                                                  REA   \n",
       "currency_mode_TRAIN                                                                 REA   \n",
       "currency_mode_tx_TEST                                                               NaN   \n",
       "currency_mode_tx_TRAIN                                                              NaN   \n",
       "listing_type_first_TEST                                                         premium   \n",
       "listing_type_first_TRAIN                                                        premium   \n",
       "listing_type_last_TEST                                                          classic   \n",
       "listing_type_last_TRAIN                                                         classic   \n",
       "listing_type_mode_TEST                                                          classic   \n",
       "listing_type_mode_TRAIN                                                         premium   \n",
       "listing_type_mode_tx_TEST                                                           NaN   \n",
       "listing_type_mode_tx_TRAIN                                                          NaN   \n",
       "shipping_logistic_type_first_TEST                                           fulfillment   \n",
       "shipping_logistic_type_first_TRAIN                                          fulfillment   \n",
       "shipping_logistic_type_last_TEST                                            fulfillment   \n",
       "shipping_logistic_type_last_TRAIN                                           fulfillment   \n",
       "shipping_logistic_type_mode_TEST                                            fulfillment   \n",
       "shipping_logistic_type_mode_TRAIN                                           fulfillment   \n",
       "shipping_logistic_type_mode_tx_TEST                                                 NaN   \n",
       "shipping_logistic_type_mode_tx_TRAIN                                                NaN   \n",
       "shipping_payment_first_TEST                                               paid_shipping   \n",
       "shipping_payment_first_TRAIN                                              paid_shipping   \n",
       "shipping_payment_last_TEST                                                paid_shipping   \n",
       "shipping_payment_last_TRAIN                                               paid_shipping   \n",
       "shipping_payment_mode_TEST                                                paid_shipping   \n",
       "shipping_payment_mode_TRAIN                                               paid_shipping   \n",
       "shipping_payment_mode_tx_TEST                                                       NaN   \n",
       "shipping_payment_mode_tx_TRAIN                                                      NaN   \n",
       "sold_quantity_series_TEST             [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "sold_quantity_series_TRAIN            [9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "\n",
       "                                        freq      first       last  \\\n",
       "item_domain_id_TEST                    12032        NaT        NaT   \n",
       "item_domain_id_TRAIN                    1606        NaT        NaT   \n",
       "item_id_TEST                             NaN        NaT        NaT   \n",
       "item_id_TRAIN                            NaN        NaT        NaT   \n",
       "item_title_TEST                          164        NaT        NaT   \n",
       "item_title_TRAIN                          82        NaT        NaT   \n",
       "site_id_TEST                          281298        NaT        NaT   \n",
       "site_id_TRAIN                          55036        NaT        NaT   \n",
       "product_id_TEST                           28        NaT        NaT   \n",
       "product_id_TRAIN                          18        NaT        NaT   \n",
       "product_family_id_TEST                   183        NaT        NaT   \n",
       "product_family_id_TRAIN                   79        NaT        NaT   \n",
       "count_TEST                               NaN        NaT        NaT   \n",
       "count_TRAIN                              NaN        NaT        NaT   \n",
       "date_first_TEST                       500404 2021-02-01 2021-03-31   \n",
       "date_first_TRAIN                      103826 2021-02-01 2021-03-29   \n",
       "date_last_TEST                        551472 2021-03-31 2021-03-31   \n",
       "date_last_TRAIN                       109444 2021-03-31 2021-03-31   \n",
       "date_diff_TEST                           NaN        NaT        NaT   \n",
       "date_diff_TRAIN                          NaN        NaT        NaT   \n",
       "sold_quantity_first_TEST                 NaN        NaT        NaT   \n",
       "sold_quantity_first_TRAIN                NaN        NaT        NaT   \n",
       "sold_quantity_last_TEST                  NaN        NaT        NaT   \n",
       "sold_quantity_last_TRAIN                 NaN        NaT        NaT   \n",
       "sold_quantity_sum_TEST                   NaN        NaT        NaT   \n",
       "sold_quantity_sum_TRAIN                  NaN        NaT        NaT   \n",
       "sold_quantity_mean_TEST                  NaN        NaT        NaT   \n",
       "sold_quantity_mean_TRAIN                 NaN        NaT        NaT   \n",
       "sold_quantity_std_TEST                   NaN        NaT        NaT   \n",
       "sold_quantity_std_TRAIN                  NaN        NaT        NaT   \n",
       "sold_quantity_min_TEST                   NaN        NaT        NaT   \n",
       "sold_quantity_min_TRAIN                  NaN        NaT        NaT   \n",
       "sold_quantity_max_TEST                   NaN        NaT        NaT   \n",
       "sold_quantity_max_TRAIN                  NaN        NaT        NaT   \n",
       "sold_quantity_mode_TEST                  NaN        NaT        NaT   \n",
       "sold_quantity_mode_TRAIN                 NaN        NaT        NaT   \n",
       "sold_quantity_mode_tx_TEST               NaN        NaT        NaT   \n",
       "sold_quantity_mode_tx_TRAIN              NaN        NaT        NaT   \n",
       "current_price_first_TEST                 NaN        NaT        NaT   \n",
       "current_price_first_TRAIN                NaN        NaT        NaT   \n",
       "current_price_last_TEST                  NaN        NaT        NaT   \n",
       "current_price_last_TRAIN                 NaN        NaT        NaT   \n",
       "current_price_sum_TEST                   NaN        NaT        NaT   \n",
       "current_price_sum_TRAIN                  NaN        NaT        NaT   \n",
       "current_price_mean_TEST                  NaN        NaT        NaT   \n",
       "current_price_mean_TRAIN                 NaN        NaT        NaT   \n",
       "current_price_std_TEST                   NaN        NaT        NaT   \n",
       "current_price_std_TRAIN                  NaN        NaT        NaT   \n",
       "current_price_min_TEST                   NaN        NaT        NaT   \n",
       "current_price_min_TRAIN                  NaN        NaT        NaT   \n",
       "current_price_max_TEST                   NaN        NaT        NaT   \n",
       "current_price_max_TRAIN                  NaN        NaT        NaT   \n",
       "current_price_mode_TEST                  NaN        NaT        NaT   \n",
       "current_price_mode_TRAIN                 NaN        NaT        NaT   \n",
       "current_price_mode_tx_TEST               NaN        NaT        NaT   \n",
       "current_price_mode_tx_TRAIN              NaN        NaT        NaT   \n",
       "minutes_active_first_TEST                NaN        NaT        NaT   \n",
       "minutes_active_first_TRAIN               NaN        NaT        NaT   \n",
       "minutes_active_last_TEST                 NaN        NaT        NaT   \n",
       "minutes_active_last_TRAIN                NaN        NaT        NaT   \n",
       "minutes_active_sum_TEST                  NaN        NaT        NaT   \n",
       "minutes_active_sum_TRAIN                 NaN        NaT        NaT   \n",
       "minutes_active_mean_TEST                 NaN        NaT        NaT   \n",
       "minutes_active_mean_TRAIN                NaN        NaT        NaT   \n",
       "minutes_active_std_TEST                  NaN        NaT        NaT   \n",
       "minutes_active_std_TRAIN                 NaN        NaT        NaT   \n",
       "minutes_active_min_TEST                  NaN        NaT        NaT   \n",
       "minutes_active_min_TRAIN                 NaN        NaT        NaT   \n",
       "minutes_active_max_TEST                  NaN        NaT        NaT   \n",
       "minutes_active_max_TRAIN                 NaN        NaT        NaT   \n",
       "minutes_active_mode_TEST                 NaN        NaT        NaT   \n",
       "minutes_active_mode_TRAIN                NaN        NaT        NaT   \n",
       "minutes_active_mode_tx_TEST              NaN        NaT        NaT   \n",
       "minutes_active_mode_tx_TRAIN             NaN        NaT        NaT   \n",
       "currency_first_TEST                   281298        NaT        NaT   \n",
       "currency_first_TRAIN                   55036        NaT        NaT   \n",
       "currency_last_TEST                    281298        NaT        NaT   \n",
       "currency_last_TRAIN                    55036        NaT        NaT   \n",
       "currency_mode_TEST                    281298        NaT        NaT   \n",
       "currency_mode_TRAIN                    55036        NaT        NaT   \n",
       "currency_mode_tx_TEST                    NaN        NaT        NaT   \n",
       "currency_mode_tx_TRAIN                   NaN        NaT        NaT   \n",
       "listing_type_first_TEST               276601        NaT        NaT   \n",
       "listing_type_first_TRAIN               56166        NaT        NaT   \n",
       "listing_type_last_TEST                283659        NaT        NaT   \n",
       "listing_type_last_TRAIN                55368        NaT        NaT   \n",
       "listing_type_mode_TEST                277876        NaT        NaT   \n",
       "listing_type_mode_TRAIN                54999        NaT        NaT   \n",
       "listing_type_mode_tx_TEST                NaN        NaT        NaT   \n",
       "listing_type_mode_tx_TRAIN               NaN        NaT        NaT   \n",
       "shipping_logistic_type_first_TEST     404596        NaT        NaT   \n",
       "shipping_logistic_type_first_TRAIN     84905        NaT        NaT   \n",
       "shipping_logistic_type_last_TEST      505967        NaT        NaT   \n",
       "shipping_logistic_type_last_TRAIN      83784        NaT        NaT   \n",
       "shipping_logistic_type_mode_TEST      479789        NaT        NaT   \n",
       "shipping_logistic_type_mode_TRAIN      96567        NaT        NaT   \n",
       "shipping_logistic_type_mode_tx_TEST      NaN        NaT        NaT   \n",
       "shipping_logistic_type_mode_tx_TRAIN     NaN        NaT        NaT   \n",
       "shipping_payment_first_TEST           369742        NaT        NaT   \n",
       "shipping_payment_first_TRAIN           69051        NaT        NaT   \n",
       "shipping_payment_last_TEST            359044        NaT        NaT   \n",
       "shipping_payment_last_TRAIN            68212        NaT        NaT   \n",
       "shipping_payment_mode_TEST            374447        NaT        NaT   \n",
       "shipping_payment_mode_TRAIN            71081        NaT        NaT   \n",
       "shipping_payment_mode_tx_TEST            NaN        NaT        NaT   \n",
       "shipping_payment_mode_tx_TRAIN           NaN        NaT        NaT   \n",
       "sold_quantity_series_TEST              14307        NaT        NaT   \n",
       "sold_quantity_series_TRAIN                 4        NaT        NaT   \n",
       "\n",
       "                                             mean          std        min  \\\n",
       "item_domain_id_TEST                           NaN          NaN        NaN   \n",
       "item_domain_id_TRAIN                          NaN          NaN        NaN   \n",
       "item_id_TEST                               259013       149412          0   \n",
       "item_id_TRAIN                              259791       149611          1   \n",
       "item_title_TEST                               NaN          NaN        NaN   \n",
       "item_title_TRAIN                              NaN          NaN        NaN   \n",
       "site_id_TEST                                  NaN          NaN        NaN   \n",
       "site_id_TRAIN                                 NaN          NaN        NaN   \n",
       "product_id_TEST                               NaN          NaN        NaN   \n",
       "product_id_TRAIN                              NaN          NaN        NaN   \n",
       "product_family_id_TEST                        NaN          NaN        NaN   \n",
       "product_family_id_TRAIN                       NaN          NaN        NaN   \n",
       "count_TEST                                56.7289      8.64205          1   \n",
       "count_TRAIN                               58.2568      4.17247          3   \n",
       "date_first_TEST                               NaN          NaN        NaN   \n",
       "date_first_TRAIN                              NaN          NaN        NaN   \n",
       "date_last_TEST                                NaN          NaN        NaN   \n",
       "date_last_TRAIN                               NaN          NaN        NaN   \n",
       "date_diff_TEST                            55.7289      8.64205          0   \n",
       "date_diff_TRAIN                           57.2568      4.17247          2   \n",
       "sold_quantity_first_TEST                 0.927949      11.7502          0   \n",
       "sold_quantity_first_TRAIN                 1.14768      7.53307          0   \n",
       "sold_quantity_last_TEST                   1.16318      8.15049          0   \n",
       "sold_quantity_last_TRAIN                0.0999598      1.77009          0   \n",
       "sold_quantity_sum_TEST                    57.9207      442.711          0   \n",
       "sold_quantity_sum_TRAIN                   48.8425      127.863          5   \n",
       "sold_quantity_mean_TEST                   1.00985      7.58665          0   \n",
       "sold_quantity_mean_TRAIN                 0.847821       2.2107    0.20339   \n",
       "sold_quantity_std_TEST                    1.47498      7.32215          0   \n",
       "sold_quantity_std_TRAIN                   1.79367      4.62067   0.405975   \n",
       "sold_quantity_min_TEST                  0.0229259       1.5554          0   \n",
       "sold_quantity_min_TRAIN               1.82742e-05   0.00427481          0   \n",
       "sold_quantity_max_TEST                    6.95899      37.7742          0   \n",
       "sold_quantity_max_TRAIN                   8.84934      26.8559          1   \n",
       "sold_quantity_mode_TEST                  0.159754      3.89943          0   \n",
       "sold_quantity_mode_TRAIN               0.00995943     0.259205          0   \n",
       "sold_quantity_mode_tx_TEST               0.735851     0.194442  0.0169492   \n",
       "sold_quantity_mode_tx_TRAIN              0.749948     0.128475  0.0508475   \n",
       "current_price_first_TEST                  4648.15  1.90544e+06       0.89   \n",
       "current_price_first_TRAIN                 1783.26       304611       0.87   \n",
       "current_price_last_TEST                   2628.74  1.34754e+06       0.89   \n",
       "current_price_last_TRAIN                  748.426      7455.81       0.87   \n",
       "current_price_sum_TEST                     151283  7.94913e+07       1.93   \n",
       "current_price_sum_TRAIN                   49030.4  2.45689e+06         42   \n",
       "current_price_mean_TEST                   2774.35  1.34824e+06       0.89   \n",
       "current_price_mean_TRAIN                  853.475      41659.1       0.87   \n",
       "current_price_std_TEST                      409.6       206788          0   \n",
       "current_price_std_TRAIN                   453.695       105297          0   \n",
       "current_price_min_TEST                    2585.07  1.34754e+06       0.89   \n",
       "current_price_min_TRAIN                   627.624      3436.76       0.87   \n",
       "current_price_max_TEST                    4807.43  1.90589e+06       0.89   \n",
       "current_price_max_TRAIN                   1961.54       304843       0.87   \n",
       "current_price_mode_TEST                   2756.93  1.34841e+06       0.89   \n",
       "current_price_mode_TRAIN                  701.715       4971.5       0.87   \n",
       "current_price_mode_tx_TEST               0.732237     0.257756  0.0338983   \n",
       "current_price_mode_tx_TRAIN              0.732239     0.254291  0.0508475   \n",
       "minutes_active_first_TEST                 962.726       648.38          0   \n",
       "minutes_active_first_TRAIN                1000.49      641.348          0   \n",
       "minutes_active_last_TEST                  1153.29      559.689          0   \n",
       "minutes_active_last_TRAIN                 298.295      564.807          0   \n",
       "minutes_active_sum_TEST                   61604.5      24132.8          0   \n",
       "minutes_active_sum_TRAIN                    48629      23035.2    51.5216   \n",
       "minutes_active_mean_TEST                  1080.75      389.704          0   \n",
       "minutes_active_mean_TRAIN                 833.969      388.857   0.873248   \n",
       "minutes_active_std_TEST                   385.107      274.901          0   \n",
       "minutes_active_std_TRAIN                  555.083      179.504          0   \n",
       "minutes_active_min_TEST                   385.415      606.448          0   \n",
       "minutes_active_min_TRAIN                  56.1394      236.796          0   \n",
       "minutes_active_max_TEST                   1418.05      171.876          0   \n",
       "minutes_active_max_TRAIN                  1437.97       38.727    42.9479   \n",
       "minutes_active_mode_TEST                  1156.89      571.839          0   \n",
       "minutes_active_mode_TRAIN                 851.539      707.882          0   \n",
       "minutes_active_mode_tx_TEST               0.80573     0.174364  0.0714286   \n",
       "minutes_active_mode_tx_TRAIN             0.711014     0.150523   0.166667   \n",
       "currency_first_TEST                           NaN          NaN        NaN   \n",
       "currency_first_TRAIN                          NaN          NaN        NaN   \n",
       "currency_last_TEST                            NaN          NaN        NaN   \n",
       "currency_last_TRAIN                           NaN          NaN        NaN   \n",
       "currency_mode_TEST                            NaN          NaN        NaN   \n",
       "currency_mode_TRAIN                           NaN          NaN        NaN   \n",
       "currency_mode_tx_TEST                           1  4.56474e-05   0.966102   \n",
       "currency_mode_tx_TRAIN                          1  5.12333e-05   0.983051   \n",
       "listing_type_first_TEST                       NaN          NaN        NaN   \n",
       "listing_type_first_TRAIN                      NaN          NaN        NaN   \n",
       "listing_type_last_TEST                        NaN          NaN        NaN   \n",
       "listing_type_last_TRAIN                       NaN          NaN        NaN   \n",
       "listing_type_mode_TEST                        NaN          NaN        NaN   \n",
       "listing_type_mode_TRAIN                       NaN          NaN        NaN   \n",
       "listing_type_mode_tx_TEST                0.983636    0.0714636        0.5   \n",
       "listing_type_mode_tx_TRAIN               0.984682    0.0689751        0.5   \n",
       "shipping_logistic_type_first_TEST             NaN          NaN        NaN   \n",
       "shipping_logistic_type_first_TRAIN            NaN          NaN        NaN   \n",
       "shipping_logistic_type_last_TEST              NaN          NaN        NaN   \n",
       "shipping_logistic_type_last_TRAIN             NaN          NaN        NaN   \n",
       "shipping_logistic_type_mode_TEST              NaN          NaN        NaN   \n",
       "shipping_logistic_type_mode_TRAIN             NaN          NaN        NaN   \n",
       "shipping_logistic_type_mode_tx_TEST      0.916043     0.142902   0.333333   \n",
       "shipping_logistic_type_mode_tx_TRAIN     0.896086     0.154963   0.333333   \n",
       "shipping_payment_first_TEST                   NaN          NaN        NaN   \n",
       "shipping_payment_first_TRAIN                  NaN          NaN        NaN   \n",
       "shipping_payment_last_TEST                    NaN          NaN        NaN   \n",
       "shipping_payment_last_TRAIN                   NaN          NaN        NaN   \n",
       "shipping_payment_mode_TEST                    NaN          NaN        NaN   \n",
       "shipping_payment_mode_TRAIN                   NaN          NaN        NaN   \n",
       "shipping_payment_mode_tx_TEST            0.977907     0.086192        0.5   \n",
       "shipping_payment_mode_tx_TRAIN           0.975671     0.090073        0.5   \n",
       "sold_quantity_series_TEST                     NaN          NaN        NaN   \n",
       "sold_quantity_series_TRAIN                    NaN          NaN        NaN   \n",
       "\n",
       "                                              25%       50%       75%  \\\n",
       "item_domain_id_TEST                           NaN       NaN       NaN   \n",
       "item_domain_id_TRAIN                          NaN       NaN       NaN   \n",
       "item_id_TEST                               129796    259092    388294   \n",
       "item_id_TRAIN                              130212    259818    389503   \n",
       "item_title_TEST                               NaN       NaN       NaN   \n",
       "item_title_TRAIN                              NaN       NaN       NaN   \n",
       "site_id_TEST                                  NaN       NaN       NaN   \n",
       "site_id_TRAIN                                 NaN       NaN       NaN   \n",
       "product_id_TEST                               NaN       NaN       NaN   \n",
       "product_id_TRAIN                              NaN       NaN       NaN   \n",
       "product_family_id_TEST                        NaN       NaN       NaN   \n",
       "product_family_id_TRAIN                       NaN       NaN       NaN   \n",
       "count_TEST                                     59        59        59   \n",
       "count_TRAIN                                    59        59        59   \n",
       "date_first_TEST                               NaN       NaN       NaN   \n",
       "date_first_TRAIN                              NaN       NaN       NaN   \n",
       "date_last_TEST                                NaN       NaN       NaN   \n",
       "date_last_TRAIN                               NaN       NaN       NaN   \n",
       "date_diff_TEST                                 58        58        58   \n",
       "date_diff_TRAIN                                58        58        58   \n",
       "sold_quantity_first_TEST                        0         0         0   \n",
       "sold_quantity_first_TRAIN                       0         0         1   \n",
       "sold_quantity_last_TEST                         0         0         1   \n",
       "sold_quantity_last_TRAIN                        0         0         0   \n",
       "sold_quantity_sum_TEST                         10        19        40   \n",
       "sold_quantity_sum_TRAIN                        17        25        44   \n",
       "sold_quantity_mean_TEST                  0.170213  0.322034  0.711864   \n",
       "sold_quantity_mean_TRAIN                 0.288136  0.423729  0.762712   \n",
       "sold_quantity_std_TEST                   0.471886  0.709788   1.25898   \n",
       "sold_quantity_std_TRAIN                  0.696069  0.987354   1.64229   \n",
       "sold_quantity_min_TEST                          0         0         0   \n",
       "sold_quantity_min_TRAIN                         0         0         0   \n",
       "sold_quantity_max_TEST                          2         3         6   \n",
       "sold_quantity_max_TRAIN                         3         5         8   \n",
       "sold_quantity_mode_TEST                         0         0         0   \n",
       "sold_quantity_mode_TRAIN                        0         0         0   \n",
       "sold_quantity_mode_tx_TEST               0.644068   0.79661  0.864407   \n",
       "sold_quantity_mode_tx_TRAIN              0.694915  0.779661  0.830508   \n",
       "current_price_first_TEST                    48.97       119       299   \n",
       "current_price_first_TRAIN                      49    123.97       329   \n",
       "current_price_last_TEST                     48.89       119       298   \n",
       "current_price_last_TRAIN                       48    119.97   302.192   \n",
       "current_price_sum_TEST                    2695.71    6484.1     17403   \n",
       "current_price_sum_TRAIN                    2826.1   7033.82   18331.6   \n",
       "current_price_mean_TEST                   48.6508   118.476       299   \n",
       "current_price_mean_TRAIN                   48.471   120.265   317.308   \n",
       "current_price_std_TEST                7.16642e-15   1.96037   9.19986   \n",
       "current_price_std_TRAIN               7.16642e-15   2.29066   10.4824   \n",
       "current_price_min_TEST                         45     106.9       289   \n",
       "current_price_min_TRAIN                      44.9       109     297.5   \n",
       "current_price_max_TEST                       49.9       127     319.2   \n",
       "current_price_max_TRAIN                     49.99    129.99       350   \n",
       "current_price_mode_TEST                        49       119       299   \n",
       "current_price_mode_TRAIN                     48.9    119.99    308.08   \n",
       "current_price_mode_tx_TEST               0.525424  0.763158         1   \n",
       "current_price_mode_tx_TRAIN              0.525424  0.762712         1   \n",
       "minutes_active_first_TEST                       0      1440      1440   \n",
       "minutes_active_first_TRAIN                      0      1440      1440   \n",
       "minutes_active_last_TEST                     1440      1440      1440   \n",
       "minutes_active_last_TRAIN                       0         0         0   \n",
       "minutes_active_sum_TEST                   45473.8   69265.7     84074   \n",
       "minutes_active_sum_TRAIN                    29875     49065   68498.7   \n",
       "minutes_active_mean_TEST                  840.812   1216.92   1426.33   \n",
       "minutes_active_mean_TRAIN                  519.36   846.951   1170.69   \n",
       "minutes_active_std_TEST                   50.1308   462.905   649.885   \n",
       "minutes_active_std_TRAIN                  477.726   627.548   690.784   \n",
       "minutes_active_min_TEST                         0         0   883.064   \n",
       "minutes_active_min_TRAIN                        0         0         0   \n",
       "minutes_active_max_TEST                      1440      1440      1440   \n",
       "minutes_active_max_TRAIN                     1440      1440      1440   \n",
       "minutes_active_mode_TEST                     1440      1440      1440   \n",
       "minutes_active_mode_TRAIN                       0      1440      1440   \n",
       "minutes_active_mode_tx_TEST              0.661017  0.847458  0.983051   \n",
       "minutes_active_mode_tx_TRAIN             0.576271  0.694915  0.830508   \n",
       "currency_first_TEST                           NaN       NaN       NaN   \n",
       "currency_first_TRAIN                          NaN       NaN       NaN   \n",
       "currency_last_TEST                            NaN       NaN       NaN   \n",
       "currency_last_TRAIN                           NaN       NaN       NaN   \n",
       "currency_mode_TEST                            NaN       NaN       NaN   \n",
       "currency_mode_TRAIN                           NaN       NaN       NaN   \n",
       "currency_mode_tx_TEST                           1         1         1   \n",
       "currency_mode_tx_TRAIN                          1         1         1   \n",
       "listing_type_first_TEST                       NaN       NaN       NaN   \n",
       "listing_type_first_TRAIN                      NaN       NaN       NaN   \n",
       "listing_type_last_TEST                        NaN       NaN       NaN   \n",
       "listing_type_last_TRAIN                       NaN       NaN       NaN   \n",
       "listing_type_mode_TEST                        NaN       NaN       NaN   \n",
       "listing_type_mode_TRAIN                       NaN       NaN       NaN   \n",
       "listing_type_mode_tx_TEST                       1         1         1   \n",
       "listing_type_mode_tx_TRAIN                      1         1         1   \n",
       "shipping_logistic_type_first_TEST             NaN       NaN       NaN   \n",
       "shipping_logistic_type_first_TRAIN            NaN       NaN       NaN   \n",
       "shipping_logistic_type_last_TEST              NaN       NaN       NaN   \n",
       "shipping_logistic_type_last_TRAIN             NaN       NaN       NaN   \n",
       "shipping_logistic_type_mode_TEST              NaN       NaN       NaN   \n",
       "shipping_logistic_type_mode_TRAIN             NaN       NaN       NaN   \n",
       "shipping_logistic_type_mode_tx_TEST      0.864407         1         1   \n",
       "shipping_logistic_type_mode_tx_TRAIN      0.79661         1         1   \n",
       "shipping_payment_first_TEST                   NaN       NaN       NaN   \n",
       "shipping_payment_first_TRAIN                  NaN       NaN       NaN   \n",
       "shipping_payment_last_TEST                    NaN       NaN       NaN   \n",
       "shipping_payment_last_TRAIN                   NaN       NaN       NaN   \n",
       "shipping_payment_mode_TEST                    NaN       NaN       NaN   \n",
       "shipping_payment_mode_TRAIN                   NaN       NaN       NaN   \n",
       "shipping_payment_mode_tx_TEST                   1         1         1   \n",
       "shipping_payment_mode_tx_TRAIN                  1         1         1   \n",
       "sold_quantity_series_TEST                     NaN       NaN       NaN   \n",
       "sold_quantity_series_TRAIN                    NaN       NaN       NaN   \n",
       "\n",
       "                                              max  \n",
       "item_domain_id_TEST                           NaN  \n",
       "item_domain_id_TRAIN                          NaN  \n",
       "item_id_TEST                               517895  \n",
       "item_id_TRAIN                              517866  \n",
       "item_title_TEST                               NaN  \n",
       "item_title_TRAIN                              NaN  \n",
       "site_id_TEST                                  NaN  \n",
       "site_id_TRAIN                                 NaN  \n",
       "product_id_TEST                               NaN  \n",
       "product_id_TRAIN                              NaN  \n",
       "product_family_id_TEST                        NaN  \n",
       "product_family_id_TRAIN                       NaN  \n",
       "count_TEST                                     59  \n",
       "count_TRAIN                                    59  \n",
       "date_first_TEST                               NaN  \n",
       "date_first_TRAIN                              NaN  \n",
       "date_last_TEST                                NaN  \n",
       "date_last_TRAIN                               NaN  \n",
       "date_diff_TEST                                 58  \n",
       "date_diff_TRAIN                                58  \n",
       "sold_quantity_first_TEST                     3644  \n",
       "sold_quantity_first_TRAIN                    1168  \n",
       "sold_quantity_last_TEST                      1982  \n",
       "sold_quantity_last_TRAIN                      467  \n",
       "sold_quantity_sum_TEST                     137528  \n",
       "sold_quantity_sum_TRAIN                     14700  \n",
       "sold_quantity_mean_TEST                   2330.98  \n",
       "sold_quantity_mean_TRAIN                  249.153  \n",
       "sold_quantity_std_TEST                     1459.8  \n",
       "sold_quantity_std_TRAIN                   638.043  \n",
       "sold_quantity_min_TEST                        886  \n",
       "sold_quantity_min_TRAIN                         1  \n",
       "sold_quantity_max_TEST                       6951  \n",
       "sold_quantity_max_TRAIN                      4901  \n",
       "sold_quantity_mode_TEST                      1678  \n",
       "sold_quantity_mode_TRAIN                       28  \n",
       "sold_quantity_mode_tx_TEST                      1  \n",
       "sold_quantity_mode_tx_TRAIN              0.983051  \n",
       "current_price_first_TEST                    1e+09  \n",
       "current_price_first_TRAIN                   1e+08  \n",
       "current_price_last_TEST                     1e+09  \n",
       "current_price_last_TRAIN              1.46678e+06  \n",
       "current_price_sum_TEST                    5.9e+10  \n",
       "current_price_sum_TRAIN                8.0013e+08  \n",
       "current_price_mean_TEST                     1e+09  \n",
       "current_price_mean_TRAIN              1.35615e+07  \n",
       "current_price_std_TEST                1.52499e+08  \n",
       "current_price_std_TRAIN               3.45286e+07  \n",
       "current_price_min_TEST                      1e+09  \n",
       "current_price_min_TRAIN                    204999  \n",
       "current_price_max_TEST                      1e+09  \n",
       "current_price_max_TRAIN                     1e+08  \n",
       "current_price_mode_TEST                     1e+09  \n",
       "current_price_mode_TRAIN                    1e+06  \n",
       "current_price_mode_tx_TEST                      1  \n",
       "current_price_mode_tx_TRAIN                     1  \n",
       "minutes_active_first_TEST                    1440  \n",
       "minutes_active_first_TRAIN                   1440  \n",
       "minutes_active_last_TEST                     1440  \n",
       "minutes_active_last_TRAIN                    1440  \n",
       "minutes_active_sum_TEST                     84960  \n",
       "minutes_active_sum_TRAIN                    84960  \n",
       "minutes_active_mean_TEST                     1440  \n",
       "minutes_active_mean_TRAIN                    1440  \n",
       "minutes_active_std_TEST                   1003.59  \n",
       "minutes_active_std_TRAIN                  744.197  \n",
       "minutes_active_min_TEST                      1440  \n",
       "minutes_active_min_TRAIN                     1440  \n",
       "minutes_active_max_TEST                      1440  \n",
       "minutes_active_max_TRAIN                     1440  \n",
       "minutes_active_mode_TEST                     1440  \n",
       "minutes_active_mode_TRAIN                    1440  \n",
       "minutes_active_mode_tx_TEST                     1  \n",
       "minutes_active_mode_tx_TRAIN                    1  \n",
       "currency_first_TEST                           NaN  \n",
       "currency_first_TRAIN                          NaN  \n",
       "currency_last_TEST                            NaN  \n",
       "currency_last_TRAIN                           NaN  \n",
       "currency_mode_TEST                            NaN  \n",
       "currency_mode_TRAIN                           NaN  \n",
       "currency_mode_tx_TEST                           1  \n",
       "currency_mode_tx_TRAIN                          1  \n",
       "listing_type_first_TEST                       NaN  \n",
       "listing_type_first_TRAIN                      NaN  \n",
       "listing_type_last_TEST                        NaN  \n",
       "listing_type_last_TRAIN                       NaN  \n",
       "listing_type_mode_TEST                        NaN  \n",
       "listing_type_mode_TRAIN                       NaN  \n",
       "listing_type_mode_tx_TEST                       1  \n",
       "listing_type_mode_tx_TRAIN                      1  \n",
       "shipping_logistic_type_first_TEST             NaN  \n",
       "shipping_logistic_type_first_TRAIN            NaN  \n",
       "shipping_logistic_type_last_TEST              NaN  \n",
       "shipping_logistic_type_last_TRAIN             NaN  \n",
       "shipping_logistic_type_mode_TEST              NaN  \n",
       "shipping_logistic_type_mode_TRAIN             NaN  \n",
       "shipping_logistic_type_mode_tx_TEST             1  \n",
       "shipping_logistic_type_mode_tx_TRAIN            1  \n",
       "shipping_payment_first_TEST                   NaN  \n",
       "shipping_payment_first_TRAIN                  NaN  \n",
       "shipping_payment_last_TEST                    NaN  \n",
       "shipping_payment_last_TRAIN                   NaN  \n",
       "shipping_payment_mode_TEST                    NaN  \n",
       "shipping_payment_mode_TRAIN                   NaN  \n",
       "shipping_payment_mode_tx_TEST                   1  \n",
       "shipping_payment_mode_tx_TRAIN                  1  \n",
       "sold_quantity_series_TEST                     NaN  \n",
       "sold_quantity_series_TRAIN                    NaN  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', 150)\n",
    "column_order = []\n",
    "for i, j in zip(describ_test.columns, describ_train_only.columns):\n",
    "    column_order.append(i)\n",
    "    column_order.append(j)\n",
    "describ_test.transpose().append(describ_train_only.transpose()).loc[column_order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "5f3fcd7e-2dc6-4158-b81a-2559518b5aa2",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "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></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "      <th>last</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">item_domain_id</th>\n",
       "      <th>self</th>\n",
       "      <td>109443</td>\n",
       "      <td>5837</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1606</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551470</td>\n",
       "      <td>8243</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12032</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">item_id</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>259791</td>\n",
       "      <td>149611</td>\n",
       "      <td>1</td>\n",
       "      <td>130212</td>\n",
       "      <td>259818</td>\n",
       "      <td>389503</td>\n",
       "      <td>517866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>259013</td>\n",
       "      <td>149412</td>\n",
       "      <td>0</td>\n",
       "      <td>129796</td>\n",
       "      <td>259092</td>\n",
       "      <td>388294</td>\n",
       "      <td>517895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">item_title</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>89624</td>\n",
       "      <td>Capa Capinha Com Logo iPhone 5 6 7 8 Plus X Xr...</td>\n",
       "      <td>82</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>407133</td>\n",
       "      <td>Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...</td>\n",
       "      <td>164</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">site_id</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">product_id</th>\n",
       "      <th>self</th>\n",
       "      <td>6809</td>\n",
       "      <td>4979</td>\n",
       "      <td>MLM15283838</td>\n",
       "      <td>18</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>22859</td>\n",
       "      <td>13443</td>\n",
       "      <td>MLB6125887</td>\n",
       "      <td>28</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">product_family_id</th>\n",
       "      <th>self</th>\n",
       "      <td>16733</td>\n",
       "      <td>9479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>66451</td>\n",
       "      <td>25983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">count</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>58.2568</td>\n",
       "      <td>4.17247</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">date_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103826</td>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>59</td>\n",
       "      <td>NaN</td>\n",
       "      <td>500404</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">date_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109444</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>551472</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">date_diff</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>57.2568</td>\n",
       "      <td>4.17247</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>55.7289</td>\n",
       "      <td>8.64205</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.14768</td>\n",
       "      <td>7.53307</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.927949</td>\n",
       "      <td>11.7502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>3644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.0999598</td>\n",
       "      <td>1.77009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.16318</td>\n",
       "      <td>8.15049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_sum</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48.8425</td>\n",
       "      <td>127.863</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>44</td>\n",
       "      <td>14700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>57.9207</td>\n",
       "      <td>442.711</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>40</td>\n",
       "      <td>137528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_mean</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.847821</td>\n",
       "      <td>2.2107</td>\n",
       "      <td>0.20339</td>\n",
       "      <td>0.288136</td>\n",
       "      <td>0.423729</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>249.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.00985</td>\n",
       "      <td>7.58665</td>\n",
       "      <td>0</td>\n",
       "      <td>0.170213</td>\n",
       "      <td>0.322034</td>\n",
       "      <td>0.711864</td>\n",
       "      <td>2330.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_std</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.79367</td>\n",
       "      <td>4.62067</td>\n",
       "      <td>0.405975</td>\n",
       "      <td>0.696069</td>\n",
       "      <td>0.987354</td>\n",
       "      <td>1.64229</td>\n",
       "      <td>638.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.47498</td>\n",
       "      <td>7.32215</td>\n",
       "      <td>0</td>\n",
       "      <td>0.471886</td>\n",
       "      <td>0.709788</td>\n",
       "      <td>1.25898</td>\n",
       "      <td>1459.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_min</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1.82742e-05</td>\n",
       "      <td>0.00427481</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.0229259</td>\n",
       "      <td>1.5554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_max</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>8.84934</td>\n",
       "      <td>26.8559</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>4901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>6.95899</td>\n",
       "      <td>37.7742</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.00995943</td>\n",
       "      <td>0.259205</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.159754</td>\n",
       "      <td>3.89943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.749948</td>\n",
       "      <td>0.128475</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.779661</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>0.983051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.735851</td>\n",
       "      <td>0.194442</td>\n",
       "      <td>0.0169492</td>\n",
       "      <td>0.644068</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1783.26</td>\n",
       "      <td>304611</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49</td>\n",
       "      <td>123.97</td>\n",
       "      <td>329</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4648.15</td>\n",
       "      <td>1.90544e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.97</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>748.426</td>\n",
       "      <td>7455.81</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48</td>\n",
       "      <td>119.97</td>\n",
       "      <td>302.192</td>\n",
       "      <td>1.46678e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2628.74</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.89</td>\n",
       "      <td>119</td>\n",
       "      <td>298</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_sum</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>49030.4</td>\n",
       "      <td>2.45689e+06</td>\n",
       "      <td>42</td>\n",
       "      <td>2826.1</td>\n",
       "      <td>7033.82</td>\n",
       "      <td>18331.6</td>\n",
       "      <td>8.0013e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>151283</td>\n",
       "      <td>7.94913e+07</td>\n",
       "      <td>1.93</td>\n",
       "      <td>2695.71</td>\n",
       "      <td>6484.1</td>\n",
       "      <td>17403</td>\n",
       "      <td>5.9e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_mean</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>853.475</td>\n",
       "      <td>41659.1</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.471</td>\n",
       "      <td>120.265</td>\n",
       "      <td>317.308</td>\n",
       "      <td>1.35615e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2774.35</td>\n",
       "      <td>1.34824e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>48.6508</td>\n",
       "      <td>118.476</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_std</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>453.695</td>\n",
       "      <td>105297</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.29066</td>\n",
       "      <td>10.4824</td>\n",
       "      <td>3.45286e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>409.6</td>\n",
       "      <td>206788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.96037</td>\n",
       "      <td>9.19986</td>\n",
       "      <td>1.52499e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_min</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>627.624</td>\n",
       "      <td>3436.76</td>\n",
       "      <td>0.87</td>\n",
       "      <td>44.9</td>\n",
       "      <td>109</td>\n",
       "      <td>297.5</td>\n",
       "      <td>204999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2585.07</td>\n",
       "      <td>1.34754e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>45</td>\n",
       "      <td>106.9</td>\n",
       "      <td>289</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_max</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1961.54</td>\n",
       "      <td>304843</td>\n",
       "      <td>0.87</td>\n",
       "      <td>49.99</td>\n",
       "      <td>129.99</td>\n",
       "      <td>350</td>\n",
       "      <td>1e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>4807.43</td>\n",
       "      <td>1.90589e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49.9</td>\n",
       "      <td>127</td>\n",
       "      <td>319.2</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>701.715</td>\n",
       "      <td>4971.5</td>\n",
       "      <td>0.87</td>\n",
       "      <td>48.9</td>\n",
       "      <td>119.99</td>\n",
       "      <td>308.08</td>\n",
       "      <td>1e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2756.93</td>\n",
       "      <td>1.34841e+06</td>\n",
       "      <td>0.89</td>\n",
       "      <td>49</td>\n",
       "      <td>119</td>\n",
       "      <td>299</td>\n",
       "      <td>1e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">current_price_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732239</td>\n",
       "      <td>0.254291</td>\n",
       "      <td>0.0508475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.762712</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.732237</td>\n",
       "      <td>0.257756</td>\n",
       "      <td>0.0338983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.763158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1000.49</td>\n",
       "      <td>641.348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>962.726</td>\n",
       "      <td>648.38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>298.295</td>\n",
       "      <td>564.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1153.29</td>\n",
       "      <td>559.689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>1440</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_sum</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>48629</td>\n",
       "      <td>23035.2</td>\n",
       "      <td>51.5216</td>\n",
       "      <td>29875</td>\n",
       "      <td>49065</td>\n",
       "      <td>68498.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>61604.5</td>\n",
       "      <td>24132.8</td>\n",
       "      <td>0</td>\n",
       "      <td>45473.8</td>\n",
       "      <td>69265.7</td>\n",
       "      <td>84074</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_mean</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>833.969</td>\n",
       "      <td>388.857</td>\n",
       "      <td>0.873248</td>\n",
       "      <td>519.36</td>\n",
       "      <td>846.951</td>\n",
       "      <td>1170.69</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1080.75</td>\n",
       "      <td>389.704</td>\n",
       "      <td>0</td>\n",
       "      <td>840.812</td>\n",
       "      <td>1216.92</td>\n",
       "      <td>1426.33</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_std</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>555.083</td>\n",
       "      <td>179.504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>477.726</td>\n",
       "      <td>627.548</td>\n",
       "      <td>690.784</td>\n",
       "      <td>744.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>550920</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.107</td>\n",
       "      <td>274.901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.1308</td>\n",
       "      <td>462.905</td>\n",
       "      <td>649.885</td>\n",
       "      <td>1003.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_min</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>56.1394</td>\n",
       "      <td>236.796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>385.415</td>\n",
       "      <td>606.448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>883.064</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_max</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1437.97</td>\n",
       "      <td>38.727</td>\n",
       "      <td>42.9479</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1418.05</td>\n",
       "      <td>171.876</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>851.539</td>\n",
       "      <td>707.882</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1156.89</td>\n",
       "      <td>571.839</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1440</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">minutes_active_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.711014</td>\n",
       "      <td>0.150523</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.576271</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.80573</td>\n",
       "      <td>0.174364</td>\n",
       "      <td>0.0714286</td>\n",
       "      <td>0.661017</td>\n",
       "      <td>0.847458</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">currency_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">currency_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">currency_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55036</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>281298</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">currency_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>5.12333e-05</td>\n",
       "      <td>0.983051</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1</td>\n",
       "      <td>4.56474e-05</td>\n",
       "      <td>0.966102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">listing_type_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56166</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>276601</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">listing_type_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55368</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>283659</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">listing_type_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>premium</td>\n",
       "      <td>54999</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>classic</td>\n",
       "      <td>277876</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">listing_type_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.984682</td>\n",
       "      <td>0.0689751</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.983636</td>\n",
       "      <td>0.0714636</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_logistic_type_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84905</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404596</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_logistic_type_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83784</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>505967</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_logistic_type_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96567</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>479789</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_logistic_type_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.896086</td>\n",
       "      <td>0.154963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.79661</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.916043</td>\n",
       "      <td>0.142902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.864407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_payment_first</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69051</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369742</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_payment_last</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68212</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>359044</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_payment_mode</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71081</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>374447</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">shipping_payment_mode_tx</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.975671</td>\n",
       "      <td>0.090073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.977907</td>\n",
       "      <td>0.086192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">sold_quantity_series</th>\n",
       "      <th>self</th>\n",
       "      <td>109444</td>\n",
       "      <td>109390</td>\n",
       "      <td>[9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>4</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>551472</td>\n",
       "      <td>514917</td>\n",
       "      <td>[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "      <td>14307</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       count  unique  \\\n",
       "item_domain_id                 self   109443    5837   \n",
       "                               other  551470    8243   \n",
       "item_id                        self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "item_title                     self   109444   89624   \n",
       "                               other  551472  407133   \n",
       "site_id                        self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "product_id                     self     6809    4979   \n",
       "                               other   22859   13443   \n",
       "product_family_id              self    16733    9479   \n",
       "                               other   66451   25983   \n",
       "count                          self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "date_first                     self   109444      56   \n",
       "                               other  551472      59   \n",
       "date_last                      self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "date_diff                      self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_first            self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_last             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_sum              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_mean             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_std              self   109444     NaN   \n",
       "                               other  550920     NaN   \n",
       "sold_quantity_min              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_max              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_mode             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_mode_tx          self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_first            self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_last             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_sum              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_mean             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_std              self   109444     NaN   \n",
       "                               other  550920     NaN   \n",
       "current_price_min              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_max              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_mode             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "current_price_mode_tx          self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_first           self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_last            self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_sum             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_mean            self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_std             self   109444     NaN   \n",
       "                               other  550920     NaN   \n",
       "minutes_active_min             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_max             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_mode            self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "minutes_active_mode_tx         self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "currency_first                 self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "currency_last                  self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "currency_mode                  self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "currency_mode_tx               self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "listing_type_first             self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "listing_type_last              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "listing_type_mode              self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "listing_type_mode_tx           self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_logistic_type_first   self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_logistic_type_last    self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_logistic_type_mode    self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_logistic_type_mode_tx self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_payment_first         self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_payment_last          self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_payment_mode          self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "shipping_payment_mode_tx       self   109444     NaN   \n",
       "                               other  551472     NaN   \n",
       "sold_quantity_series           self   109444  109390   \n",
       "                               other  551472  514917   \n",
       "\n",
       "                                                                                    top  \\\n",
       "item_domain_id                 self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "item_id                        self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "item_title                     self   Capa Capinha Com Logo iPhone 5 6 7 8 Plus X Xr...   \n",
       "                               other  Case Acrigel iPhone Galaxy Huawei Xiaomi Moto ...   \n",
       "site_id                        self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "product_id                     self                                         MLM15283838   \n",
       "                               other                                         MLB6125887   \n",
       "product_family_id              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "count                          self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "date_first                     self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "date_last                      self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "date_diff                      self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_first            self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_last             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_sum              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_mean             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_std              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_min              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_max              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_mode             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_mode_tx          self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_first            self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_last             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_sum              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_mean             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_std              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_min              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_max              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_mode             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "current_price_mode_tx          self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_first           self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_last            self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_sum             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_mean            self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_std             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_min             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_max             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_mode            self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "minutes_active_mode_tx         self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "currency_first                 self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "currency_last                  self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "currency_mode                  self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "currency_mode_tx               self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "listing_type_first             self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "listing_type_last              self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "listing_type_mode              self                                             premium   \n",
       "                               other                                            classic   \n",
       "listing_type_mode_tx           self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_logistic_type_first   self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_logistic_type_last    self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_logistic_type_mode    self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_logistic_type_mode_tx self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_payment_first         self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_payment_last          self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_payment_mode          self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "shipping_payment_mode_tx       self                                                 NaN   \n",
       "                               other                                                NaN   \n",
       "sold_quantity_series           self   [9, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "                               other  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...   \n",
       "\n",
       "                                        freq       last         mean  \\\n",
       "item_domain_id                 self     1606        NaT          NaN   \n",
       "                               other   12032        NaT          NaN   \n",
       "item_id                        self      NaN        NaT       259791   \n",
       "                               other     NaN        NaT       259013   \n",
       "item_title                     self       82        NaT          NaN   \n",
       "                               other     164        NaT          NaN   \n",
       "site_id                        self    55036        NaT          NaN   \n",
       "                               other  281298        NaT          NaN   \n",
       "product_id                     self       18        NaT          NaN   \n",
       "                               other      28        NaT          NaN   \n",
       "product_family_id              self       79        NaT          NaN   \n",
       "                               other     183        NaT          NaN   \n",
       "count                          self      NaN        NaT      58.2568   \n",
       "                               other     NaN        NaT      56.7289   \n",
       "date_first                     self   103826 2021-03-29          NaN   \n",
       "                               other  500404 2021-03-31          NaN   \n",
       "date_last                      self   109444        NaT          NaN   \n",
       "                               other  551472        NaT          NaN   \n",
       "date_diff                      self      NaN        NaT      57.2568   \n",
       "                               other     NaN        NaT      55.7289   \n",
       "sold_quantity_first            self      NaN        NaT      1.14768   \n",
       "                               other     NaN        NaT     0.927949   \n",
       "sold_quantity_last             self      NaN        NaT    0.0999598   \n",
       "                               other     NaN        NaT      1.16318   \n",
       "sold_quantity_sum              self      NaN        NaT      48.8425   \n",
       "                               other     NaN        NaT      57.9207   \n",
       "sold_quantity_mean             self      NaN        NaT     0.847821   \n",
       "                               other     NaN        NaT      1.00985   \n",
       "sold_quantity_std              self      NaN        NaT      1.79367   \n",
       "                               other     NaN        NaT      1.47498   \n",
       "sold_quantity_min              self      NaN        NaT  1.82742e-05   \n",
       "                               other     NaN        NaT    0.0229259   \n",
       "sold_quantity_max              self      NaN        NaT      8.84934   \n",
       "                               other     NaN        NaT      6.95899   \n",
       "sold_quantity_mode             self      NaN        NaT   0.00995943   \n",
       "                               other     NaN        NaT     0.159754   \n",
       "sold_quantity_mode_tx          self      NaN        NaT     0.749948   \n",
       "                               other     NaN        NaT     0.735851   \n",
       "current_price_first            self      NaN        NaT      1783.26   \n",
       "                               other     NaN        NaT      4648.15   \n",
       "current_price_last             self      NaN        NaT      748.426   \n",
       "                               other     NaN        NaT      2628.74   \n",
       "current_price_sum              self      NaN        NaT      49030.4   \n",
       "                               other     NaN        NaT       151283   \n",
       "current_price_mean             self      NaN        NaT      853.475   \n",
       "                               other     NaN        NaT      2774.35   \n",
       "current_price_std              self      NaN        NaT      453.695   \n",
       "                               other     NaN        NaT        409.6   \n",
       "current_price_min              self      NaN        NaT      627.624   \n",
       "                               other     NaN        NaT      2585.07   \n",
       "current_price_max              self      NaN        NaT      1961.54   \n",
       "                               other     NaN        NaT      4807.43   \n",
       "current_price_mode             self      NaN        NaT      701.715   \n",
       "                               other     NaN        NaT      2756.93   \n",
       "current_price_mode_tx          self      NaN        NaT     0.732239   \n",
       "                               other     NaN        NaT     0.732237   \n",
       "minutes_active_first           self      NaN        NaT      1000.49   \n",
       "                               other     NaN        NaT      962.726   \n",
       "minutes_active_last            self      NaN        NaT      298.295   \n",
       "                               other     NaN        NaT      1153.29   \n",
       "minutes_active_sum             self      NaN        NaT        48629   \n",
       "                               other     NaN        NaT      61604.5   \n",
       "minutes_active_mean            self      NaN        NaT      833.969   \n",
       "                               other     NaN        NaT      1080.75   \n",
       "minutes_active_std             self      NaN        NaT      555.083   \n",
       "                               other     NaN        NaT      385.107   \n",
       "minutes_active_min             self      NaN        NaT      56.1394   \n",
       "                               other     NaN        NaT      385.415   \n",
       "minutes_active_max             self      NaN        NaT      1437.97   \n",
       "                               other     NaN        NaT      1418.05   \n",
       "minutes_active_mode            self      NaN        NaT      851.539   \n",
       "                               other     NaN        NaT      1156.89   \n",
       "minutes_active_mode_tx         self      NaN        NaT     0.711014   \n",
       "                               other     NaN        NaT      0.80573   \n",
       "currency_first                 self    55036        NaT          NaN   \n",
       "                               other  281298        NaT          NaN   \n",
       "currency_last                  self    55036        NaT          NaN   \n",
       "                               other  281298        NaT          NaN   \n",
       "currency_mode                  self    55036        NaT          NaN   \n",
       "                               other  281298        NaT          NaN   \n",
       "currency_mode_tx               self      NaN        NaT            1   \n",
       "                               other     NaN        NaT            1   \n",
       "listing_type_first             self    56166        NaT          NaN   \n",
       "                               other  276601        NaT          NaN   \n",
       "listing_type_last              self    55368        NaT          NaN   \n",
       "                               other  283659        NaT          NaN   \n",
       "listing_type_mode              self    54999        NaT          NaN   \n",
       "                               other  277876        NaT          NaN   \n",
       "listing_type_mode_tx           self      NaN        NaT     0.984682   \n",
       "                               other     NaN        NaT     0.983636   \n",
       "shipping_logistic_type_first   self    84905        NaT          NaN   \n",
       "                               other  404596        NaT          NaN   \n",
       "shipping_logistic_type_last    self    83784        NaT          NaN   \n",
       "                               other  505967        NaT          NaN   \n",
       "shipping_logistic_type_mode    self    96567        NaT          NaN   \n",
       "                               other  479789        NaT          NaN   \n",
       "shipping_logistic_type_mode_tx self      NaN        NaT     0.896086   \n",
       "                               other     NaN        NaT     0.916043   \n",
       "shipping_payment_first         self    69051        NaT          NaN   \n",
       "                               other  369742        NaT          NaN   \n",
       "shipping_payment_last          self    68212        NaT          NaN   \n",
       "                               other  359044        NaT          NaN   \n",
       "shipping_payment_mode          self    71081        NaT          NaN   \n",
       "                               other  374447        NaT          NaN   \n",
       "shipping_payment_mode_tx       self      NaN        NaT     0.975671   \n",
       "                               other     NaN        NaT     0.977907   \n",
       "sold_quantity_series           self        4        NaT          NaN   \n",
       "                               other   14307        NaT          NaN   \n",
       "\n",
       "                                              std        min       25%  \\\n",
       "item_domain_id                 self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "item_id                        self        149611          1    130212   \n",
       "                               other       149412          0    129796   \n",
       "item_title                     self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "site_id                        self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "product_id                     self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "product_family_id              self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "count                          self       4.17247          3       NaN   \n",
       "                               other      8.64205          1       NaN   \n",
       "date_first                     self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "date_last                      self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "date_diff                      self       4.17247          2       NaN   \n",
       "                               other      8.64205          0       NaN   \n",
       "sold_quantity_first            self       7.53307        NaN       NaN   \n",
       "                               other      11.7502        NaN       NaN   \n",
       "sold_quantity_last             self       1.77009        NaN       NaN   \n",
       "                               other      8.15049        NaN       NaN   \n",
       "sold_quantity_sum              self       127.863          5        17   \n",
       "                               other      442.711          0        10   \n",
       "sold_quantity_mean             self        2.2107    0.20339  0.288136   \n",
       "                               other      7.58665          0  0.170213   \n",
       "sold_quantity_std              self       4.62067   0.405975  0.696069   \n",
       "                               other      7.32215          0  0.471886   \n",
       "sold_quantity_min              self    0.00427481        NaN       NaN   \n",
       "                               other       1.5554        NaN       NaN   \n",
       "sold_quantity_max              self       26.8559          1         3   \n",
       "                               other      37.7742          0         2   \n",
       "sold_quantity_mode             self      0.259205        NaN       NaN   \n",
       "                               other      3.89943        NaN       NaN   \n",
       "sold_quantity_mode_tx          self      0.128475  0.0508475  0.694915   \n",
       "                               other     0.194442  0.0169492  0.644068   \n",
       "current_price_first            self        304611       0.87        49   \n",
       "                               other  1.90544e+06       0.89     48.97   \n",
       "current_price_last             self       7455.81       0.87        48   \n",
       "                               other  1.34754e+06       0.89     48.89   \n",
       "current_price_sum              self   2.45689e+06         42    2826.1   \n",
       "                               other  7.94913e+07       1.93   2695.71   \n",
       "current_price_mean             self       41659.1       0.87    48.471   \n",
       "                               other  1.34824e+06       0.89   48.6508   \n",
       "current_price_std              self        105297        NaN       NaN   \n",
       "                               other       206788        NaN       NaN   \n",
       "current_price_min              self       3436.76       0.87      44.9   \n",
       "                               other  1.34754e+06       0.89        45   \n",
       "current_price_max              self        304843       0.87     49.99   \n",
       "                               other  1.90589e+06       0.89      49.9   \n",
       "current_price_mode             self        4971.5       0.87      48.9   \n",
       "                               other  1.34841e+06       0.89        49   \n",
       "current_price_mode_tx          self      0.254291  0.0508475       NaN   \n",
       "                               other     0.257756  0.0338983       NaN   \n",
       "minutes_active_first           self       641.348        NaN       NaN   \n",
       "                               other       648.38        NaN       NaN   \n",
       "minutes_active_last            self       564.807        NaN         0   \n",
       "                               other      559.689        NaN      1440   \n",
       "minutes_active_sum             self       23035.2    51.5216     29875   \n",
       "                               other      24132.8          0   45473.8   \n",
       "minutes_active_mean            self       388.857   0.873248    519.36   \n",
       "                               other      389.704          0   840.812   \n",
       "minutes_active_std             self       179.504        NaN   477.726   \n",
       "                               other      274.901        NaN   50.1308   \n",
       "minutes_active_min             self       236.796        NaN       NaN   \n",
       "                               other      606.448        NaN       NaN   \n",
       "minutes_active_max             self        38.727    42.9479       NaN   \n",
       "                               other      171.876          0       NaN   \n",
       "minutes_active_mode            self       707.882        NaN         0   \n",
       "                               other      571.839        NaN      1440   \n",
       "minutes_active_mode_tx         self      0.150523   0.166667  0.576271   \n",
       "                               other     0.174364  0.0714286  0.661017   \n",
       "currency_first                 self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "currency_last                  self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "currency_mode                  self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "currency_mode_tx               self   5.12333e-05   0.983051       NaN   \n",
       "                               other  4.56474e-05   0.966102       NaN   \n",
       "listing_type_first             self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "listing_type_last              self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "listing_type_mode              self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "listing_type_mode_tx           self     0.0689751        NaN       NaN   \n",
       "                               other    0.0714636        NaN       NaN   \n",
       "shipping_logistic_type_first   self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_logistic_type_last    self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_logistic_type_mode    self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_logistic_type_mode_tx self      0.154963        NaN   0.79661   \n",
       "                               other     0.142902        NaN  0.864407   \n",
       "shipping_payment_first         self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_payment_last          self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_payment_mode          self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "shipping_payment_mode_tx       self      0.090073        NaN       NaN   \n",
       "                               other     0.086192        NaN       NaN   \n",
       "sold_quantity_series           self           NaN        NaN       NaN   \n",
       "                               other          NaN        NaN       NaN   \n",
       "\n",
       "                                           50%       75%          max  \n",
       "item_domain_id                 self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "item_id                        self     259818    389503       517866  \n",
       "                               other    259092    388294       517895  \n",
       "item_title                     self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "site_id                        self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "product_id                     self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "product_family_id              self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "count                          self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "date_first                     self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "date_last                      self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "date_diff                      self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "sold_quantity_first            self        NaN         1         1168  \n",
       "                               other       NaN         0         3644  \n",
       "sold_quantity_last             self        NaN         0          467  \n",
       "                               other       NaN         1         1982  \n",
       "sold_quantity_sum              self         25        44        14700  \n",
       "                               other        19        40       137528  \n",
       "sold_quantity_mean             self   0.423729  0.762712      249.153  \n",
       "                               other  0.322034  0.711864      2330.98  \n",
       "sold_quantity_std              self   0.987354   1.64229      638.043  \n",
       "                               other  0.709788   1.25898       1459.8  \n",
       "sold_quantity_min              self        NaN       NaN            1  \n",
       "                               other       NaN       NaN          886  \n",
       "sold_quantity_max              self          5         8         4901  \n",
       "                               other         3         6         6951  \n",
       "sold_quantity_mode             self        NaN       NaN           28  \n",
       "                               other       NaN       NaN         1678  \n",
       "sold_quantity_mode_tx          self   0.779661  0.830508     0.983051  \n",
       "                               other   0.79661  0.864407            1  \n",
       "current_price_first            self     123.97       329        1e+08  \n",
       "                               other       119       299        1e+09  \n",
       "current_price_last             self     119.97   302.192  1.46678e+06  \n",
       "                               other       119       298        1e+09  \n",
       "current_price_sum              self    7033.82   18331.6   8.0013e+08  \n",
       "                               other    6484.1     17403      5.9e+10  \n",
       "current_price_mean             self    120.265   317.308  1.35615e+07  \n",
       "                               other   118.476       299        1e+09  \n",
       "current_price_std              self    2.29066   10.4824  3.45286e+07  \n",
       "                               other   1.96037   9.19986  1.52499e+08  \n",
       "current_price_min              self        109     297.5       204999  \n",
       "                               other     106.9       289        1e+09  \n",
       "current_price_max              self     129.99       350        1e+08  \n",
       "                               other       127     319.2        1e+09  \n",
       "current_price_mode             self     119.99    308.08        1e+06  \n",
       "                               other       119       299        1e+09  \n",
       "current_price_mode_tx          self   0.762712       NaN          NaN  \n",
       "                               other  0.763158       NaN          NaN  \n",
       "minutes_active_first           self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "minutes_active_last            self          0         0          NaN  \n",
       "                               other      1440      1440          NaN  \n",
       "minutes_active_sum             self      49065   68498.7          NaN  \n",
       "                               other   69265.7     84074          NaN  \n",
       "minutes_active_mean            self    846.951   1170.69          NaN  \n",
       "                               other   1216.92   1426.33          NaN  \n",
       "minutes_active_std             self    627.548   690.784      744.197  \n",
       "                               other   462.905   649.885      1003.59  \n",
       "minutes_active_min             self        NaN         0          NaN  \n",
       "                               other       NaN   883.064          NaN  \n",
       "minutes_active_max             self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "minutes_active_mode            self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "minutes_active_mode_tx         self   0.694915  0.830508          NaN  \n",
       "                               other  0.847458  0.983051          NaN  \n",
       "currency_first                 self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "currency_last                  self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "currency_mode                  self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "currency_mode_tx               self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "listing_type_first             self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "listing_type_last              self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "listing_type_mode              self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "listing_type_mode_tx           self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_logistic_type_first   self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_logistic_type_last    self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_logistic_type_mode    self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_logistic_type_mode_tx self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_payment_first         self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_payment_last          self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_payment_mode          self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "shipping_payment_mode_tx       self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  \n",
       "sold_quantity_series           self        NaN       NaN          NaN  \n",
       "                               other       NaN       NaN          NaN  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 20)\n",
    "pd.set_option('display.max_rows', 300)\n",
    "describ_train_only.compare(describ_test).transpose()"
   ]
  }
 ],
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