Homogeneity_analysis_EDA.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "68c4d5c5-5095-497f-9bfc-7faaabe3fe38",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from statsmodels.tsa.stattools import acf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9ee17a80-82d6-42fe-8dc8-ef8160c1b8b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "sell_prices_df = pd.read_csv(\"sell_prices_afcs2024.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ce8b7a24-fa6a-4447-96d5-23abba11de43",
   "metadata": {},
   "outputs": [
    {
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       "      <th>sell_price</th>\n",
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       "      <td>2.28</td>\n",
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       "      <td>1.00</td>\n",
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       "      <th>185257</th>\n",
       "      <td>TX_3</td>\n",
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      ],
      "text/plain": [
       "       store_id      item_id  wm_yr_wk  sell_price\n",
       "0          TX_3  FOODS_3_001     11101        2.28\n",
       "1          TX_3  FOODS_3_001     11102        2.28\n",
       "2          TX_3  FOODS_3_001     11103        2.28\n",
       "3          TX_3  FOODS_3_001     11104        2.28\n",
       "4          TX_3  FOODS_3_001     11105        2.28\n",
       "...         ...          ...       ...         ...\n",
       "185255     TX_3  FOODS_3_827     11617        1.00\n",
       "185256     TX_3  FOODS_3_827     11618        1.00\n",
       "185257     TX_3  FOODS_3_827     11619        1.00\n",
       "185258     TX_3  FOODS_3_827     11620        1.00\n",
       "185259     TX_3  FOODS_3_827     11621        1.00\n",
       "\n",
       "[185260 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sell_prices_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "20444e4b-c533-4c1a-8c1a-e921e5af4799",
   "metadata": {},
   "outputs": [
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       "<p>823 rows × 1914 columns</p>\n",
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      ],
      "text/plain": [
       "                              id  d_1  d_2  d_3  d_4  d_5  d_6  d_7  d_8  d_9  \\\n",
       "0    FOODS_3_001_TX_3_validation    0    2    1    3    0    0    1    0    2   \n",
       "1    FOODS_3_002_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "2    FOODS_3_003_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "3    FOODS_3_004_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "4    FOODS_3_005_TX_3_validation    0    1    1    0    0    1    2    0    0   \n",
       "..                           ...  ...  ...  ...  ...  ...  ...  ...  ...  ...   \n",
       "818  FOODS_3_823_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "819  FOODS_3_824_TX_3_validation    0    1    0    1    0    2    0    1    1   \n",
       "820  FOODS_3_825_TX_3_validation    0    0    0    2    1    1    0    0    1   \n",
       "821  FOODS_3_826_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "822  FOODS_3_827_TX_3_validation    0    0    0    0    0    0    0    0    0   \n",
       "\n",
       "     ...  d_1904  d_1905  d_1906  d_1907  d_1908  d_1909  d_1910  d_1911  \\\n",
       "0    ...       0       0       0       0       2       0       0       5   \n",
       "1    ...       0       0       0       0       0       0       0       0   \n",
       "2    ...       1       1       0       0       1       0       0       1   \n",
       "3    ...       0       0       2       0       0       0       0       0   \n",
       "4    ...       0       4       2       1       1       0       1       0   \n",
       "..   ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "818  ...       1       1       0       1       0       0       0       2   \n",
       "819  ...       0       0       0       0       0       0       0       0   \n",
       "820  ...       1       1       1       3       1       0       0       4   \n",
       "821  ...       0       2       1       1       5       3       1       2   \n",
       "822  ...       0       0       0       0       1       0       1       0   \n",
       "\n",
       "     d_1912  d_1913  \n",
       "0         2       0  \n",
       "1         0       0  \n",
       "2         0       0  \n",
       "3         0       0  \n",
       "4         4       0  \n",
       "..      ...     ...  \n",
       "818       0       2  \n",
       "819       0       0  \n",
       "820       2       0  \n",
       "821       1       2  \n",
       "822       0       3  \n",
       "\n",
       "[823 rows x 1914 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('sales_train_validation_afcs2024.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "041fda03-dde5-4c49-9d76-ebcde011c714",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_series_products = df.drop('id', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1426bf2b-a029-407d-b535-927189e756f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def autocorr(series, lag=1):\n",
    "    return series.autocorr(lag=lag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a99e7e8b-940a-4f87-a208-7e796a522005",
   "metadata": {},
   "outputs": [],
   "source": [
    "row_variance = time_series_products.var(axis=1)\n",
    "row_std_dv = time_series_products.std(axis=1)\n",
    "\n",
    "range_row = time_series_products.max(axis =1) - time_series_products.min(axis=1)\n",
    "autocor = time_series_products.apply(autocorr, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a0f9aa8e-1eee-4389-949f-8fd740657d4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'variance per product'}, xlabel='product', ylabel='variance value'>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "row_variance.plot(xlabel = \"product\", ylabel = \"variance value\", title = \"variance per product\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "e0cd114a-d1f3-4ccb-b43f-d01a66720f82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'log variance value per product'}, xlabel='product', ylabel='log variance value'>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.log10(row_variance).plot(xlabel = \"product\", ylabel = \"log variance value\", title = \"log variance value per product\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "9ba38159-b0d2-4102-97ab-bdd198aad4f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'standard deviation per product'}, xlabel='product', ylabel='standard deviation value'>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "row_std_dv.plot(xlabel = \"product\", ylabel = \"standard deviation value\", title = \"standard deviation per product\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "f1aa2538-b12c-4076-b2aa-0db8f17b7871",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'max min difference per product'}, xlabel='product', ylabel='maximum minimum range value'>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "range_row.plot(xlabel = \"product\", ylabel = \"maximum minimum range value\", title = \"max min difference per product\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "be5836c1-a32e-4f46-bcb5-0dc4ec0ad1e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Autocorrelation per product with lag equal to 1'}, xlabel='product', ylabel='ACF value'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "autocor.plot(xlabel = \"product\", ylabel = \"ACF value\", title = \"Autocorrelation per product with lag equal to 1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1771e435-6bd8-4b7b-bb87-1468933da8f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>813</th>\n",
       "      <th>814</th>\n",
       "      <th>815</th>\n",
       "      <th>816</th>\n",
       "      <th>817</th>\n",
       "      <th>818</th>\n",
       "      <th>819</th>\n",
       "      <th>820</th>\n",
       "      <th>821</th>\n",
       "      <th>822</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>FOODS_3_001_TX_3_validation</td>\n",
       "      <td>FOODS_3_002_TX_3_validation</td>\n",
       "      <td>FOODS_3_003_TX_3_validation</td>\n",
       "      <td>FOODS_3_004_TX_3_validation</td>\n",
       "      <td>FOODS_3_005_TX_3_validation</td>\n",
       "      <td>FOODS_3_006_TX_3_validation</td>\n",
       "      <td>FOODS_3_007_TX_3_validation</td>\n",
       "      <td>FOODS_3_008_TX_3_validation</td>\n",
       "      <td>FOODS_3_009_TX_3_validation</td>\n",
       "      <td>FOODS_3_010_TX_3_validation</td>\n",
       "      <td>...</td>\n",
       "      <td>FOODS_3_818_TX_3_validation</td>\n",
       "      <td>FOODS_3_819_TX_3_validation</td>\n",
       "      <td>FOODS_3_820_TX_3_validation</td>\n",
       "      <td>FOODS_3_821_TX_3_validation</td>\n",
       "      <td>FOODS_3_822_TX_3_validation</td>\n",
       "      <td>FOODS_3_823_TX_3_validation</td>\n",
       "      <td>FOODS_3_824_TX_3_validation</td>\n",
       "      <td>FOODS_3_825_TX_3_validation</td>\n",
       "      <td>FOODS_3_826_TX_3_validation</td>\n",
       "      <td>FOODS_3_827_TX_3_validation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_1</th>\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>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>7</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>d_2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</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>d_3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_4</th>\n",
       "      <td>3</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",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>d_1909</th>\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",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_1910</th>\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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_1911</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_1912</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d_1913</th>\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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1914 rows × 823 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                0                            1    \\\n",
       "id      FOODS_3_001_TX_3_validation  FOODS_3_002_TX_3_validation   \n",
       "d_1                               0                            0   \n",
       "d_2                               2                            0   \n",
       "d_3                               1                            0   \n",
       "d_4                               3                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            0                            0   \n",
       "d_1911                            5                            0   \n",
       "d_1912                            2                            0   \n",
       "d_1913                            0                            0   \n",
       "\n",
       "                                2                            3    \\\n",
       "id      FOODS_3_003_TX_3_validation  FOODS_3_004_TX_3_validation   \n",
       "d_1                               0                            0   \n",
       "d_2                               0                            0   \n",
       "d_3                               0                            0   \n",
       "d_4                               0                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            0                            0   \n",
       "d_1911                            1                            0   \n",
       "d_1912                            0                            0   \n",
       "d_1913                            0                            0   \n",
       "\n",
       "                                4                            5    \\\n",
       "id      FOODS_3_005_TX_3_validation  FOODS_3_006_TX_3_validation   \n",
       "d_1                               0                            0   \n",
       "d_2                               1                            0   \n",
       "d_3                               1                            0   \n",
       "d_4                               0                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            1                            1   \n",
       "d_1911                            0                            1   \n",
       "d_1912                            4                            1   \n",
       "d_1913                            0                            0   \n",
       "\n",
       "                                6                            7    \\\n",
       "id      FOODS_3_007_TX_3_validation  FOODS_3_008_TX_3_validation   \n",
       "d_1                              27                            0   \n",
       "d_2                              27                            0   \n",
       "d_3                               8                            0   \n",
       "d_4                               0                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            0                            0   \n",
       "d_1911                            0                            0   \n",
       "d_1912                            0                            0   \n",
       "d_1913                            0                            0   \n",
       "\n",
       "                                8                            9    ...  \\\n",
       "id      FOODS_3_009_TX_3_validation  FOODS_3_010_TX_3_validation  ...   \n",
       "d_1                               0                            0  ...   \n",
       "d_2                               0                            0  ...   \n",
       "d_3                               0                            0  ...   \n",
       "d_4                               0                            0  ...   \n",
       "...                             ...                          ...  ...   \n",
       "d_1909                            1                            0  ...   \n",
       "d_1910                            0                            0  ...   \n",
       "d_1911                            0                            0  ...   \n",
       "d_1912                            0                            0  ...   \n",
       "d_1913                            0                            0  ...   \n",
       "\n",
       "                                813                          814  \\\n",
       "id      FOODS_3_818_TX_3_validation  FOODS_3_819_TX_3_validation   \n",
       "d_1                               0                            9   \n",
       "d_2                               0                            0   \n",
       "d_3                               0                            3   \n",
       "d_4                               0                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            3                            0   \n",
       "d_1910                            0                            1   \n",
       "d_1911                            1                            0   \n",
       "d_1912                            1                            3   \n",
       "d_1913                            2                            2   \n",
       "\n",
       "                                815                          816  \\\n",
       "id      FOODS_3_820_TX_3_validation  FOODS_3_821_TX_3_validation   \n",
       "d_1                               3                            0   \n",
       "d_2                               2                            0   \n",
       "d_3                               1                            0   \n",
       "d_4                               3                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            1                            0   \n",
       "d_1910                            2                            2   \n",
       "d_1911                            3                            2   \n",
       "d_1912                            1                            0   \n",
       "d_1913                            3                            0   \n",
       "\n",
       "                                817                          818  \\\n",
       "id      FOODS_3_822_TX_3_validation  FOODS_3_823_TX_3_validation   \n",
       "d_1                               7                            0   \n",
       "d_2                               5                            0   \n",
       "d_3                               5                            0   \n",
       "d_4                               3                            0   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            1                            0   \n",
       "d_1911                            0                            2   \n",
       "d_1912                            1                            0   \n",
       "d_1913                            0                            2   \n",
       "\n",
       "                                819                          820  \\\n",
       "id      FOODS_3_824_TX_3_validation  FOODS_3_825_TX_3_validation   \n",
       "d_1                               0                            0   \n",
       "d_2                               1                            0   \n",
       "d_3                               0                            0   \n",
       "d_4                               1                            2   \n",
       "...                             ...                          ...   \n",
       "d_1909                            0                            0   \n",
       "d_1910                            0                            0   \n",
       "d_1911                            0                            4   \n",
       "d_1912                            0                            2   \n",
       "d_1913                            0                            0   \n",
       "\n",
       "                                821                          822  \n",
       "id      FOODS_3_826_TX_3_validation  FOODS_3_827_TX_3_validation  \n",
       "d_1                               0                            0  \n",
       "d_2                               0                            0  \n",
       "d_3                               0                            0  \n",
       "d_4                               0                            0  \n",
       "...                             ...                          ...  \n",
       "d_1909                            3                            0  \n",
       "d_1910                            1                            1  \n",
       "d_1911                            2                            0  \n",
       "d_1912                            1                            0  \n",
       "d_1913                            2                            3  \n",
       "\n",
       "[1914 rows x 823 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transposed_df = df.transpose()\n",
    "transposed_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b0b99ae1-9442-4b95-a1d3-b0ab8a879df3",
   "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>store_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>day</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_001</td>\n",
       "      <td>wm_yr_wk</td>\n",
       "      <td>11101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_001</td>\n",
       "      <td>wm_yr_wk</td>\n",
       "      <td>11102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_001</td>\n",
       "      <td>wm_yr_wk</td>\n",
       "      <td>11103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_001</td>\n",
       "      <td>wm_yr_wk</td>\n",
       "      <td>11104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_001</td>\n",
       "      <td>wm_yr_wk</td>\n",
       "      <td>11105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370515</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_827</td>\n",
       "      <td>sell_price</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370516</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_827</td>\n",
       "      <td>sell_price</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370517</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_827</td>\n",
       "      <td>sell_price</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370518</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_827</td>\n",
       "      <td>sell_price</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370519</th>\n",
       "      <td>TX_3</td>\n",
       "      <td>FOODS_3_827</td>\n",
       "      <td>sell_price</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>370520 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       store_id      item_id         day    sales\n",
       "0          TX_3  FOODS_3_001    wm_yr_wk  11101.0\n",
       "1          TX_3  FOODS_3_001    wm_yr_wk  11102.0\n",
       "2          TX_3  FOODS_3_001    wm_yr_wk  11103.0\n",
       "3          TX_3  FOODS_3_001    wm_yr_wk  11104.0\n",
       "4          TX_3  FOODS_3_001    wm_yr_wk  11105.0\n",
       "...         ...          ...         ...      ...\n",
       "370515     TX_3  FOODS_3_827  sell_price      1.0\n",
       "370516     TX_3  FOODS_3_827  sell_price      1.0\n",
       "370517     TX_3  FOODS_3_827  sell_price      1.0\n",
       "370518     TX_3  FOODS_3_827  sell_price      1.0\n",
       "370519     TX_3  FOODS_3_827  sell_price      1.0\n",
       "\n",
       "[370520 rows x 4 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Melt the dataset to a long format\n",
    "data_long = sell_prices_df.melt(id_vars=['store_id', 'item_id'], \n",
    "                      var_name='day', \n",
    "                      value_name='sales')\n",
    "\n",
    "# Convert `day` column to numerical format\n",
    "data_long['day'] = data_long['day'].str.extract('(\\d+)').astype(int)\n",
    "\n",
    "# Sort by store, department, item, and day\n",
    "data_long = data_long.sort_values(['store_id', 'dept_id', 'item_id','id','cat_id','state_id', 'day'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f2877ce-9e03-430f-92f7-7eb4889b05b2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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