Mercari.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import multiprocessing\n",
    "import gc\n",
    "\n",
    "cores = multiprocessing.cpu_count() - 1 # we need to have at least one core for system operating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parallelize_dataframe(df, func, cores):\n",
    "    df_split = np.array_split(df, cores)\n",
    "    pool = multiprocessing.Pool(cores)\n",
    "    \n",
    "    df = pd.concat(pool.map(func, df_split))\n",
    "    \n",
    "    pool.close()\n",
    "    pool.join()\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = pd.read_csv('data/train.tsv', sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1482535 entries, 0 to 1482534\n",
      "Data columns (total 8 columns):\n",
      "train_id             1482535 non-null int64\n",
      "name                 1482535 non-null object\n",
      "item_condition_id    1482535 non-null int64\n",
      "category_name        1476208 non-null object\n",
      "brand_name           849853 non-null object\n",
      "price                1482535 non-null float64\n",
      "shipping             1482535 non-null int64\n",
      "item_description     1482531 non-null object\n",
      "dtypes: float64(1), int64(3), object(4)\n",
      "memory usage: 90.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df_train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data set is quite big so lets try to compress it and to save some memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Initial idea of memory optimization belongs to https://www.kaggle.com/jeru666\n",
    "\"\"\"\n",
    "def change_datatype_int(df):\n",
    "    int_cols = list(df.select_dtypes(include=['int']).columns)\n",
    "    for col in int_cols:\n",
    "        if ((np.max(df[col]) <= 127) and(np.min(df[col] >= -128))):\n",
    "            df[col] = df[col].astype(np.int8)\n",
    "        elif ((np.max(df[col]) <= 32767) and(np.min(df[col] >= -32768))):\n",
    "            df[col] = df[col].astype(np.int16)\n",
    "        elif ((np.max(df[col]) <= 2147483647) and(np.min(df[col] >= -2147483648))):\n",
    "            df[col] = df[col].astype(np.int32)\n",
    "        else:\n",
    "            df[col] = df[col].astype(np.int64)\n",
    "            \n",
    "def change_datatype_float(df):\n",
    "    float_cols = list(df.select_dtypes(include=['float']).columns)\n",
    "    for col in float_cols:\n",
    "        df[col] = df[col].astype(np.float32)            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1482535 entries, 0 to 1482534\n",
      "Data columns (total 8 columns):\n",
      "train_id             1482535 non-null int32\n",
      "name                 1482535 non-null object\n",
      "item_condition_id    1482535 non-null int8\n",
      "category_name        1476208 non-null object\n",
      "brand_name           849853 non-null object\n",
      "price                1482535 non-null float32\n",
      "shipping             1482535 non-null int8\n",
      "item_description     1482531 non-null object\n",
      "dtypes: float32(1), int32(1), int8(2), object(4)\n",
      "memory usage: 59.4+ MB\n"
     ]
    }
   ],
   "source": [
    "change_datatype_int(df_train)\n",
    "change_datatype_float(df_train)\n",
    "df_train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Size was decreased from 90Mb to 60Mb. Not bad."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "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",
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       "    }\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>train_id</th>\n",
       "      <th>name</th>\n",
       "      <th>item_condition_id</th>\n",
       "      <th>category_name</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>price</th>\n",
       "      <th>shipping</th>\n",
       "      <th>item_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>MLB Cincinnati Reds T Shirt Size XL</td>\n",
       "      <td>3</td>\n",
       "      <td>Men/Tops/T-shirts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>No description yet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Razer BlackWidow Chroma Keyboard</td>\n",
       "      <td>3</td>\n",
       "      <td>Electronics/Computers &amp; Tablets/Components &amp; P...</td>\n",
       "      <td>Razer</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0</td>\n",
       "      <td>This keyboard is in great condition and works ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>AVA-VIV Blouse</td>\n",
       "      <td>1</td>\n",
       "      <td>Women/Tops &amp; Blouses/Blouse</td>\n",
       "      <td>Target</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Adorable top with a hint of lace and a key hol...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Leather Horse Statues</td>\n",
       "      <td>1</td>\n",
       "      <td>Home/Home Décor/Home Décor Accents</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>New with tags. Leather horses. Retail for [rm]...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>24K GOLD plated rose</td>\n",
       "      <td>1</td>\n",
       "      <td>Women/Jewelry/Necklaces</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Complete with certificate of authenticity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_id                                 name  item_condition_id  \\\n",
       "0         0  MLB Cincinnati Reds T Shirt Size XL                  3   \n",
       "1         1     Razer BlackWidow Chroma Keyboard                  3   \n",
       "2         2                       AVA-VIV Blouse                  1   \n",
       "3         3                Leather Horse Statues                  1   \n",
       "4         4                 24K GOLD plated rose                  1   \n",
       "\n",
       "                                       category_name brand_name  price  \\\n",
       "0                                  Men/Tops/T-shirts        NaN   10.0   \n",
       "1  Electronics/Computers & Tablets/Components & P...      Razer   52.0   \n",
       "2                        Women/Tops & Blouses/Blouse     Target   10.0   \n",
       "3                 Home/Home Décor/Home Décor Accents        NaN   35.0   \n",
       "4                            Women/Jewelry/Necklaces        NaN   44.0   \n",
       "\n",
       "   shipping                                   item_description  \n",
       "0         1                                 No description yet  \n",
       "1         0  This keyboard is in great condition and works ...  \n",
       "2         1  Adorable top with a hint of lace and a key hol...  \n",
       "3         1  New with tags. Leather horses. Retail for [rm]...  \n",
       "4         0          Complete with certificate of authenticity  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "train_id                  0\n",
       "name                      0\n",
       "item_condition_id         0\n",
       "category_name          6327\n",
       "brand_name           632682\n",
       "price                     0\n",
       "shipping                  0\n",
       "item_description          4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Despite the fact we have official default value for missed item description for 4 products it was missed. Lets make them correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train['item_description'].fillna('No description yet', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Category name has 6327 empty values. It is 0.4% from whole number of values in dataset. Reason for this can be mistake of user/operator or ultra-exotic product that can't be put in any existing category. Lets check these uncategorizes products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_id</th>\n",
       "      <th>name</th>\n",
       "      <th>item_condition_id</th>\n",
       "      <th>category_name</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>price</th>\n",
       "      <th>shipping</th>\n",
       "      <th>item_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>122</td>\n",
       "      <td>Bundle</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sizes and info of clothes can be found on thei...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>155</td>\n",
       "      <td>3 Nora Roberts Books</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>For aferg16.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>258</td>\n",
       "      <td>ACER Laptop</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Powers on, no screen display, no external dama...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>984</td>\n",
       "      <td>AUTHENTIC BRWN MICHAEL KORS MAKEUP STAIN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael Kors</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0</td>\n",
       "      <td>No description yet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>1185</td>\n",
       "      <td>Teenage Mutant Ninja Turtle Van/ Extras</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nickelodeon</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Teenage Mutant Ninja Turtle Van, April O'Neil ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      train_id                                      name  item_condition_id  \\\n",
       "122        122                                    Bundle                  3   \n",
       "155        155                      3 Nora Roberts Books                  3   \n",
       "258        258                               ACER Laptop                  5   \n",
       "984        984  AUTHENTIC BRWN MICHAEL KORS MAKEUP STAIN                  4   \n",
       "1185      1185   Teenage Mutant Ninja Turtle Van/ Extras                  3   \n",
       "\n",
       "     category_name    brand_name  price  shipping  \\\n",
       "122            NaN           NaN   59.0         0   \n",
       "155            NaN           NaN   10.0         1   \n",
       "258            NaN           NaN   14.0         0   \n",
       "984            NaN  Michael Kors   18.0         0   \n",
       "1185           NaN   Nickelodeon    9.0         0   \n",
       "\n",
       "                                       item_description  \n",
       "122   Sizes and info of clothes can be found on thei...  \n",
       "155                                        For aferg16.  \n",
       "258   Powers on, no screen display, no external dama...  \n",
       "984                                  No description yet  \n",
       "1185  Teenage Mutant Ninja Turtle Van, April O'Neil ...  "
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train[df_train['category_name'].isnull()].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Products like Acer Laptop and some books are quite easy to catogorize so I'll assume it was mistake of operator. Lets fix it by creating category mistake boolean feature and replacing empty category name with 'Other/Other/Other'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train['category_mistake'] = np.where(df_train['category_name'].isnull(), 1, 0)\n",
    "df_train['brand_mistake'] = np.where(df_train['brand_name'].isnull(), 1, 0)\n",
    "df_train['category_name'].fillna('Other/Other/Other', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Half of products have no brand name value. Lets check some of them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_id</th>\n",
       "      <th>name</th>\n",
       "      <th>item_condition_id</th>\n",
       "      <th>category_name</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>price</th>\n",
       "      <th>shipping</th>\n",
       "      <th>item_description</th>\n",
       "      <th>category_mistake</th>\n",
       "      <th>brand_mistake</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>MLB Cincinnati Reds T Shirt Size XL</td>\n",
       "      <td>3</td>\n",
       "      <td>Men/Tops/T-shirts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>No description yet</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Leather Horse Statues</td>\n",
       "      <td>1</td>\n",
       "      <td>Home/Home Décor/Home Décor Accents</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>New with tags. Leather horses. Retail for [rm]...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>24K GOLD plated rose</td>\n",
       "      <td>1</td>\n",
       "      <td>Women/Jewelry/Necklaces</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Complete with certificate of authenticity</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Bundled items requested for Ruie</td>\n",
       "      <td>3</td>\n",
       "      <td>Women/Other/Other</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Banana republic bottoms, Candies skirt with ma...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>Porcelain clown doll checker pants VTG</td>\n",
       "      <td>3</td>\n",
       "      <td>Vintage &amp; Collectibles/Collectibles/Doll</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0</td>\n",
       "      <td>I realized his pants are on backwards after th...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_id                                    name  item_condition_id  \\\n",
       "0         0     MLB Cincinnati Reds T Shirt Size XL                  3   \n",
       "3         3                   Leather Horse Statues                  1   \n",
       "4         4                    24K GOLD plated rose                  1   \n",
       "5         5        Bundled items requested for Ruie                  3   \n",
       "9         9  Porcelain clown doll checker pants VTG                  3   \n",
       "\n",
       "                              category_name brand_name  price  shipping  \\\n",
       "0                         Men/Tops/T-shirts        NaN   10.0         1   \n",
       "3        Home/Home Décor/Home Décor Accents        NaN   35.0         1   \n",
       "4                   Women/Jewelry/Necklaces        NaN   44.0         0   \n",
       "5                         Women/Other/Other        NaN   59.0         0   \n",
       "9  Vintage & Collectibles/Collectibles/Doll        NaN    8.0         0   \n",
       "\n",
       "                                    item_description  category_mistake  \\\n",
       "0                                 No description yet                 0   \n",
       "3  New with tags. Leather horses. Retail for [rm]...                 0   \n",
       "4          Complete with certificate of authenticity                 0   \n",
       "5  Banana republic bottoms, Candies skirt with ma...                 0   \n",
       "9  I realized his pants are on backwards after th...                 0   \n",
       "\n",
       "   brand_mistake  \n",
       "0              1  \n",
       "3              1  \n",
       "4              1  \n",
       "5              1  \n",
       "9              1  "
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train[df_train['brand_name'].isnull()].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First of all, there users have information about brands. For example, for index 103 name is 'kids adidas' so brand is obvious. Probably it is systematic error due to wrong and low quality UX/UI and users can't find good way to provide information they have. Probably new/edit form should be reorganized but it is outside of scope of current research."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "brands = df_train['brand_name'].value_counts().to_frame().reset_index()\n",
    "brands.columns = ['brand', 'count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "brand    PINKNikeVictoria's SecretLuLaRoeAppleFOREVER 2...\n",
       "count                                               849853\n",
       "dtype: object"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brands.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "brand    PINKNikeVictoria's SecretLuLaRoeAppleFOREVER 2...\n",
       "count                                               802707\n",
       "dtype: object"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brands[brands['count'] > 100].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "brand    566\n",
       "count    566\n",
       "dtype: int64"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brands[brands['count'] > 100].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So products with 566 brands that were used more than 100 times cover ~95% of all brands used in dataset. Lets assume that it is more or less complete list of brands. Lets create low case list of these brands and try to find mentiones of these brands in product titles and descriptions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "brand_list = brands[brands['count'] > 100]['brand'].tolist()\n",
    "brand_list = [b.replace('|', '\\|') for b in brand_list] # 'A|X Armani Exchange' => 'A\\|X Armani Exchange' because '|' is special character in regular expressions\n",
    "r = re.compile(r'\\b({0})\\b'.format(\"|\".join(brand_list)), flags=re.IGNORECASE) # regular expression will contain '(Adidas|Reebok|Nike)' type of template with 566 brands inside"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def process_brand(row):\n",
    "    current_brand_value = row['brand_name']\n",
    "    \n",
    "    if current_brand_value != current_brand_value: # if it is NaN\n",
    "        current_description = row['item_description'].lower()\n",
    "        current_name = row['name'].lower()\n",
    "        \n",
    "        match = r.search(current_name)\n",
    "        if match:\n",
    "            return match[0].lower()\n",
    "            \n",
    "        match = r.search(current_description)\n",
    "        if match:\n",
    "            return match[0].lower()\n",
    "        \n",
    "        return np.NaN\n",
    "    else:\n",
    "        return current_brand_value.lower()\n",
    "\n",
    "def process_brand_multicore(df):\n",
    "    df['brand_name'] = df.apply(lambda row: process_brand(row), axis=1)\n",
    "    \n",
    "    return df\n",
    "\n",
    "df_train = parallelize_dataframe(df_train, process_brand_multicore, cores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train['brand_was_discovered'] = np.where(((~df_train['brand_name'].isnull()) & (df_train['brand_mistake'] == 1)), 1, 0)\n",
    "df_train['brand_name'].fillna('missing', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "category_mean_price = df_train.groupby('category_name')['price'].mean().to_frame().reset_index()\n",
    "category_mean_price.columns = ['category', 'price']\n",
    "category_mean_price.set_index('category', inplace=True)\n",
    "category_mean_price_dict = category_mean_price.to_dict()\n",
    "\n",
    "category_median_price = df_train.groupby('category_name')['price'].median().to_frame().reset_index()\n",
    "category_median_price.columns = ['category', 'price']\n",
    "category_median_price.set_index('category', inplace=True)\n",
    "category_median_price_dict = category_median_price.to_dict()\n",
    "\n",
    "category_min_price = df_train.groupby('category_name')['price'].min().to_frame().reset_index()\n",
    "category_min_price.columns = ['category', 'price']\n",
    "category_min_price.set_index('category', inplace=True)\n",
    "category_min_price_dict = category_min_price.to_dict()\n",
    "\n",
    "category_max_price = df_train.groupby('category_name')['price'].max().to_frame().reset_index()\n",
    "category_max_price.columns = ['category', 'price']\n",
    "category_max_price.set_index('category', inplace=True)\n",
    "category_max_price_dict = category_max_price.to_dict()\n",
    "\n",
    "brand_mean_price = df_train.groupby('brand_name')['price'].mean().to_frame().reset_index()\n",
    "brand_mean_price.columns = ['brand', 'price']\n",
    "brand_mean_price.set_index('brand', inplace=True)\n",
    "brand_mean_price_dict = brand_mean_price.to_dict()\n",
    "\n",
    "brand_median_price = df_train.groupby('brand_name')['price'].median().to_frame().reset_index()\n",
    "brand_median_price.columns = ['brand', 'price']\n",
    "brand_median_price.set_index('brand', inplace=True)\n",
    "brand_median_price_dict = brand_median_price.to_dict()\n",
    "\n",
    "brand_min_price = df_train.groupby('brand_name')['price'].min().to_frame().reset_index()\n",
    "brand_min_price.columns = ['brand', 'price']\n",
    "brand_min_price.set_index('brand', inplace=True)\n",
    "brand_min_price_dict = brand_min_price.to_dict()\n",
    "\n",
    "brand_max_price = df_train.groupby('brand_name')['price'].max().to_frame().reset_index()\n",
    "brand_max_price.columns = ['brand', 'price']\n",
    "brand_max_price.set_index('brand', inplace=True)\n",
    "brand_max_price_dict = brand_max_price.to_dict()\n",
    "\n",
    "category_count = df_train.groupby('category_name')['train_id'].count().to_frame().reset_index()\n",
    "category_count.columns = ['category', 'count']\n",
    "category_count.set_index('category', inplace=True)\n",
    "category_count_dict =category_count.to_dict()\n",
    "\n",
    "brand_count = df_train.groupby('brand_name')['train_id'].count().to_frame().reset_index()\n",
    "brand_count.columns = ['brand', 'count']\n",
    "brand_count.set_index('brand', inplace=True)\n",
    "brand_count_dict = brand_count.to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "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>train_id</th>\n",
       "      <th>name</th>\n",
       "      <th>item_condition_id</th>\n",
       "      <th>category_name</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>price</th>\n",
       "      <th>shipping</th>\n",
       "      <th>item_description</th>\n",
       "      <th>category_mistake</th>\n",
       "      <th>brand_mistake</th>\n",
       "      <th>brand_was_discovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>MLB Cincinnati Reds T Shirt Size XL</td>\n",
       "      <td>3</td>\n",
       "      <td>Men/Tops/T-shirts</td>\n",
       "      <td>mlb</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>No description yet</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Razer BlackWidow Chroma Keyboard</td>\n",
       "      <td>3</td>\n",
       "      <td>Electronics/Computers &amp; Tablets/Components &amp; P...</td>\n",
       "      <td>razer</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0</td>\n",
       "      <td>This keyboard is in great condition and works ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>AVA-VIV Blouse</td>\n",
       "      <td>1</td>\n",
       "      <td>Women/Tops &amp; Blouses/Blouse</td>\n",
       "      <td>target</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Adorable top with a hint of lace and a key hol...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Leather Horse Statues</td>\n",
       "      <td>1</td>\n",
       "      <td>Home/Home Décor/Home Décor Accents</td>\n",
       "      <td>missing</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>New with tags. Leather horses. Retail for [rm]...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>24K GOLD plated rose</td>\n",
       "      <td>1</td>\n",
       "      <td>Women/Jewelry/Necklaces</td>\n",
       "      <td>missing</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Complete with certificate of authenticity</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_id                                 name  item_condition_id  \\\n",
       "0         0  MLB Cincinnati Reds T Shirt Size XL                  3   \n",
       "1         1     Razer BlackWidow Chroma Keyboard                  3   \n",
       "2         2                       AVA-VIV Blouse                  1   \n",
       "3         3                Leather Horse Statues                  1   \n",
       "4         4                 24K GOLD plated rose                  1   \n",
       "\n",
       "                                       category_name brand_name  price  \\\n",
       "0                                  Men/Tops/T-shirts        mlb   10.0   \n",
       "1  Electronics/Computers & Tablets/Components & P...      razer   52.0   \n",
       "2                        Women/Tops & Blouses/Blouse     target   10.0   \n",
       "3                 Home/Home Décor/Home Décor Accents    missing   35.0   \n",
       "4                            Women/Jewelry/Necklaces    missing   44.0   \n",
       "\n",
       "   shipping                                   item_description  \\\n",
       "0         1                                 No description yet   \n",
       "1         0  This keyboard is in great condition and works ...   \n",
       "2         1  Adorable top with a hint of lace and a key hol...   \n",
       "3         1  New with tags. Leather horses. Retail for [rm]...   \n",
       "4         0          Complete with certificate of authenticity   \n",
       "\n",
       "   category_mistake  brand_mistake  brand_was_discovered  \n",
       "0                 0              1                     1  \n",
       "1                 0              0                     0  \n",
       "2                 0              0                     0  \n",
       "3                 0              1                     0  \n",
       "4                 0              1                     0  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_features(df):\n",
    "    df['price_in_name'] = np.where(df['name'].str.contains('[rm]'), 1, 0)\n",
    "    df['price_in_description'] = np.where(df['item_description'].str.contains('[rm]'), 1, 0)\n",
    "\n",
    "    df['category_min_price'] = df.apply(lambda row: category_min_price_dict['price'][row['category_name']], axis=1)\n",
    "    df['category_max_price'] = df.apply(lambda row: category_max_price_dict['price'][row['category_name']], axis=1)\n",
    "    df['category_mean_price'] = df.apply(lambda row: category_mean_price_dict['price'][row['category_name']], axis=1)\n",
    "    df['category_median_price'] = df.apply(lambda row: category_median_price_dict['price'][row['category_name']], axis=1)\n",
    "\n",
    "    df['brand_min_price'] = df.apply(lambda row: brand_min_price_dict['price'][row['brand_name']], axis=1)\n",
    "    df['brand_max_price'] = df.apply(lambda row: brand_max_price_dict['price'][row['brand_name']], axis=1)\n",
    "    df['brand_mean_price'] = df.apply(lambda row: brand_mean_price_dict['price'][row['brand_name']], axis=1)\n",
    "    df['brand_median_price'] = df.apply(lambda row: brand_median_price_dict['price'][row['brand_name']], axis=1)\n",
    "\n",
    "    df['category_count'] = df.apply(lambda row: category_count_dict['count'][row['category_name']], axis=1)\n",
    "    df['brand_count'] = df.apply(lambda row: brand_count_dict['count'][row['brand_name']], axis=1)\n",
    "\n",
    "    df['name_chars'] = df.apply(lambda row: len(row['name']), axis=1)\n",
    "    df['name_words'] = df.apply(lambda row: len(row['name'].split(' ')), axis=1)\n",
    "\n",
    "    df['description_chars'] = df.apply(lambda row: len(row['item_description']), axis=1)\n",
    "    df['description_words'] = df.apply(lambda row: len(row['item_description'].split(' ')), axis=1)\n",
    "    \n",
    "    return df\n",
    "\n",
    "df_train = parallelize_dataframe(df_train, generate_features, cores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "809"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del category_min_price\n",
    "del category_min_price_dict\n",
    "del category_max_price\n",
    "del category_max_price_dict\n",
    "del category_mean_price\n",
    "del category_mean_price_dict\n",
    "del category_median_price\n",
    "del category_median_price_dict\n",
    "del brand_min_price\n",
    "del brand_min_price_dict\n",
    "del brand_max_price\n",
    "del brand_max_price_dict\n",
    "del brand_mean_price\n",
    "del brand_mean_price_dict\n",
    "del brand_median_price\n",
    "del brand_median_price_dict\n",
    "del category_count\n",
    "del category_count_dict\n",
    "del brand_count\n",
    "del brand_count_dict\n",
    "\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f00298390>"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9f344fcda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap_data = df_train.filter(['price', 'item_condition_id', 'shipping', 'category_mistake', 'brand_mistake', 'brand_was_discovered', 'price_in_name', 'price_in_description', 'category_min_price', 'category_max_price', 'category_mean_price', 'category_median_price', 'brand_min_price', 'brand_max_price', 'brand_mean_price', 'brand_median_price', 'category_count', 'brand_count', 'name_chars',  'name_words', 'description_chars', 'description_words'])\n",
    "corr = heatmap_data.corr()\n",
    "plt.figure(figsize=(18, 15))\n",
    "sb.heatmap(corr, xticklabels=corr.columns, yticklabels=corr.columns, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Few conclusions from heatmap:\n",
    "* Price has very weak negative correlation with fact of missed brand name. I can understand it as relation of quality of product and quality of work of operator who forgot to enter brand name.\n",
    "* No visible correlation of price with possibility of shipping.\n",
    "* No correlation of price with declared item quality. Maybe it happens because product owners can't compare qualities of their product with quality of product of their competitors so it is impossible to set fair price.\n",
    "* There are visible weak correlation between price and mean/median prices of brand and category. Reasons are pretty obvious.\n",
    "* There is very weak negative correlation between price and number of products of specific brand (brand_count). I can understand it as people's wish to buy and use unique products."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_features_from_name(df):\n",
    "    df['name_bundle'] = np.where(df['name'].str.lower().str.contains('bundle'), 1, 0)\n",
    "    df['name_onhold'] = np.where(df['name'].str.lower().str.contains('on hold'), 1, 0)\n",
    "    df['name_reserved'] = np.where(df['name'].str.lower().str.contains('reserved'), 1, 0)\n",
    "    \n",
    "    return df\n",
    "\n",
    "df_train = parallelize_dataframe(df_train, generate_features_from_name, cores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_features_from_description(df):\n",
    "    df['description_brand_new'] = np.where(df['item_description'].str.lower().str.contains('brand new'), 1, 0)\n",
    "    df['description_missing'] = np.where(df['item_description'].str.lower().str.contains('no description yet'), 1, 0)\n",
    "    df['description_never_used'] = np.where(df['item_description'].str.lower().str.contains('never used') | df['item_description'].str.lower().str.contains('never worn'), 1, 0)\n",
    "    df['description_incorrect_new'] = np.where(df['item_description'].str.lower().str.contains('nwt') | df['item_description'].str.lower().str.contains('nwot'), 1, 0)\n",
    "    df['description_condition'] = np.where(df['item_description'].str.lower().str.contains('condition'), 1, 0)\n",
    "    \n",
    "    return df\n",
    "\n",
    "df_train = parallelize_dataframe(df_train, generate_features_from_description, cores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9ea477bda0>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9f344fcba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap_data = df_train.filter(['price', 'name_bundle', 'name_onhold', 'name_reserved', 'description_brand_new', 'description_missing', 'description_incorrect_new', 'description_never_used', 'description_condition'])\n",
    "corr = heatmap_data.corr()\n",
    "plt.figure(figsize=(10, 7))\n",
    "sb.heatmap(corr, xticklabels=corr.columns, yticklabels=corr.columns, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Few conclusions from heatmap:\n",
    "* No visible correlation between price and words in item title or item description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train.drop(['name', 'category_name', 'brand_name', 'item_description', 'train_id'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "scrolled": true
   },
   "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_condition_id</th>\n",
       "      <th>price</th>\n",
       "      <th>shipping</th>\n",
       "      <th>category_mistake</th>\n",
       "      <th>brand_mistake</th>\n",
       "      <th>brand_was_discovered</th>\n",
       "      <th>price_in_name</th>\n",
       "      <th>price_in_description</th>\n",
       "      <th>category_min_price</th>\n",
       "      <th>category_max_price</th>\n",
       "      <th>...</th>\n",
       "      <th>description_chars</th>\n",
       "      <th>description_words</th>\n",
       "      <th>name_bundle</th>\n",
       "      <th>name_onhold</th>\n",
       "      <th>name_reserved</th>\n",
       "      <th>description_brand_new</th>\n",
       "      <th>description_missing</th>\n",
       "      <th>description_never_used</th>\n",
       "      <th>description_incorrect_new</th>\n",
       "      <th>description_condition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>...</td>\n",
       "      <td>188</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>2</th>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>...</td>\n",
       "      <td>124</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>848.0</td>\n",
       "      <td>...</td>\n",
       "      <td>173</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1747.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_condition_id  price  shipping  category_mistake  brand_mistake  \\\n",
       "0                  3   10.0         1                 0              1   \n",
       "1                  3   52.0         0                 0              0   \n",
       "2                  1   10.0         1                 0              0   \n",
       "3                  1   35.0         1                 0              1   \n",
       "4                  1   44.0         0                 0              1   \n",
       "\n",
       "   brand_was_discovered  price_in_name  price_in_description  \\\n",
       "0                     1              1                     1   \n",
       "1                     0              1                     1   \n",
       "2                     0              0                     1   \n",
       "3                     0              1                     1   \n",
       "4                     0              1                     1   \n",
       "\n",
       "   category_min_price  category_max_price          ...            \\\n",
       "0                 0.0               309.0          ...             \n",
       "1                 3.0               750.0          ...             \n",
       "2                 0.0               329.0          ...             \n",
       "3                 0.0               848.0          ...             \n",
       "4                 0.0              1747.0          ...             \n",
       "\n",
       "   description_chars  description_words  name_bundle  name_onhold  \\\n",
       "0                 18                  3            0            0   \n",
       "1                188                 36            0            0   \n",
       "2                124                 29            0            0   \n",
       "3                173                 32            0            0   \n",
       "4                 41                  5            0            0   \n",
       "\n",
       "   name_reserved  description_brand_new  description_missing  \\\n",
       "0              0                      0                    1   \n",
       "1              0                      0                    0   \n",
       "2              0                      0                    0   \n",
       "3              0                      0                    0   \n",
       "4              0                      0                    0   \n",
       "\n",
       "   description_never_used  description_incorrect_new  description_condition  \n",
       "0                       0                          0                      0  \n",
       "1                       0                          0                      1  \n",
       "2                       0                          0                      0  \n",
       "3                       0                          0                      0  \n",
       "4                       0                          0                      0  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1482535 entries, 0 to 1482534\n",
      "Data columns (total 30 columns):\n",
      "item_condition_id            1482535 non-null int8\n",
      "price                        1482535 non-null float32\n",
      "shipping                     1482535 non-null int8\n",
      "category_mistake             1482535 non-null int8\n",
      "brand_mistake                1482535 non-null int8\n",
      "brand_was_discovered         1482535 non-null int8\n",
      "price_in_name                1482535 non-null int8\n",
      "price_in_description         1482535 non-null int8\n",
      "category_min_price           1482535 non-null float32\n",
      "category_max_price           1482535 non-null float32\n",
      "category_mean_price          1482535 non-null float32\n",
      "category_median_price        1482535 non-null float32\n",
      "brand_min_price              1482535 non-null float32\n",
      "brand_max_price              1482535 non-null float32\n",
      "brand_mean_price             1482535 non-null float32\n",
      "brand_median_price           1482535 non-null float32\n",
      "category_count               1482535 non-null int32\n",
      "brand_count                  1482535 non-null int32\n",
      "name_chars                   1482535 non-null int8\n",
      "name_words                   1482535 non-null int8\n",
      "description_chars            1482535 non-null int16\n",
      "description_words            1482535 non-null int16\n",
      "name_bundle                  1482535 non-null int8\n",
      "name_onhold                  1482535 non-null int8\n",
      "name_reserved                1482535 non-null int8\n",
      "description_brand_new        1482535 non-null int8\n",
      "description_missing          1482535 non-null int8\n",
      "description_never_used       1482535 non-null int8\n",
      "description_incorrect_new    1482535 non-null int8\n",
      "description_condition        1482535 non-null int8\n",
      "dtypes: float32(9), int16(2), int32(2), int8(17)\n",
      "memory usage: 91.9 MB\n"
     ]
    }
   ],
   "source": [
    "change_datatype_int(df_train)\n",
    "change_datatype_float(df_train)\n",
    "df_train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results:\n",
    "* During this preprocessing we have made data transformation and normalizing that are required for further work.\n",
    "* Basic feature generation was made from text and numerical data. Next step can be analyze of feature importances and creation of higher degree features\n",
    "* Resulting data set contains 3.5 times more columns than initial data set and uses same amount of RAM.\n",
    "* Despite quite big data set (1_500_000 examples) script demonstrates reasonable efficiency. Using remote server with 10 CPU cores it is executed during 4-5 minutes."
   ]
  }
 ],
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