Scrapping energy data from KSE_pl and TGE_pl websites.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "import pandas as pd\n",
    "import requests\n",
    "from urllib.request import urlretrieve as retrevie"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TGE.pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Czas</th>\n",
       "      <th>FIXING I_Kurs (PLN/MWh)</th>\n",
       "      <th>FIXING I_Wolumen (MWh)</th>\n",
       "      <th>FIXING II_Kurs (PLN/MWh)</th>\n",
       "      <th>FIXING II_Wolumen (MWh)</th>\n",
       "      <th>Notowania ciągłe_Kurs (PLN/MWh)</th>\n",
       "      <th>Notowania ciągłe_Wolumen (MWh)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0-1</td>\n",
       "      <td>39026.0</td>\n",
       "      <td>31683</td>\n",
       "      <td>38076.0</td>\n",
       "      <td>6688</td>\n",
       "      <td>-</td>\n",
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       "      <th>1</th>\n",
       "      <td>1-2</td>\n",
       "      <td>39000.0</td>\n",
       "      <td>30129</td>\n",
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       "      <th>2</th>\n",
       "      <td>2-3</td>\n",
       "      <td>39000.0</td>\n",
       "      <td>3184</td>\n",
       "      <td>38076.0</td>\n",
       "      <td>5961</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3-4</td>\n",
       "      <td>39000.0</td>\n",
       "      <td>30965</td>\n",
       "      <td>37583.0</td>\n",
       "      <td>6072</td>\n",
       "      <td>-</td>\n",
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       "      <th>4</th>\n",
       "      <td>4-5</td>\n",
       "      <td>39000.0</td>\n",
       "      <td>3077</td>\n",
       "      <td>38080.0</td>\n",
       "      <td>4893</td>\n",
       "      <td>-</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "  Czas  FIXING I_Kurs (PLN/MWh) FIXING I_Wolumen (MWh)  \\\n",
       "0  0-1                  39026.0                  31683   \n",
       "1  1-2                  39000.0                  30129   \n",
       "2  2-3                  39000.0                   3184   \n",
       "3  3-4                  39000.0                  30965   \n",
       "4  4-5                  39000.0                   3077   \n",
       "\n",
       "   FIXING II_Kurs (PLN/MWh) FIXING II_Wolumen (MWh)  \\\n",
       "0                   38076.0                    6688   \n",
       "1                   37028.0                    6059   \n",
       "2                   38076.0                    5961   \n",
       "3                   37583.0                    6072   \n",
       "4                   38080.0                    4893   \n",
       "\n",
       "  Notowania ciągłe_Kurs (PLN/MWh) Notowania ciągłe_Wolumen (MWh)  \n",
       "0                               -                              0  \n",
       "1                               -                              0  \n",
       "2                               -                              0  \n",
       "3                               -                              0  \n",
       "4                               -                              0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# downloading data and saving as csv file\n",
    "url = 'https://tge.pl/energia-elektryczna-rdn'\n",
    "df0 = pd.read_html(url)[2]\n",
    "df0.columns = [f'{x[0]}_{x[1]}' if x[1] else x[0] for x in df0.columns] # Concatenate the headers from two levels of the MultiIndex\n",
    "df0.rename(columns={\"Unnamed: 0_level_0_Czas\": \"Czas\"}, inplace=True)\n",
    "df0.to_csv(\"TGE_data.csv\")\n",
    "df0.head(5)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PSE.pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# defining variables\n",
    "data_od = \"20230205\"\n",
    "data_do = \"20230206\"\n",
    "url1 = f\"https://www.pse.pl/getcsv/-/export/csv/PL_GEN_MOC_JW_EPS/data_od/{data_od}/data_do/{data_do}\"\n",
    "url2 = f\"https://www.pse.pl/getcsv/-/export/csv/PL_WYK_KSE/data_od/{data_od}/data_do/{data_do}\"\n",
    "filename1 = f\"PL_GEN_MOC_JW_od_{data_od}_do_{data_do}.csv\"\n",
    "filename2 = f\"PL_WYK_KSE_od_{data_od}_do_{data_do}.csv\"\n",
    "urls_to_download = [url1, url2]\n",
    "files_to_download = [filename1, filename2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving csv files with data\n",
    "for url, file in zip(urls_to_download, files_to_download):\n",
    "    retrevie(url=url, filename=file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# storing data into two dataframes\n",
    "df1 = pd.read_csv(f\"./{filename1}\", sep=\";\", decimal=\",\", encoding=\"cp1250\")\n",
    "df2 = pd.read_csv(f\"./{filename2}\", sep=\";\", decimal=\",\", encoding=\"cp1250\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Doba</th>\n",
       "      <th>Data publikacji</th>\n",
       "      <th>Kod</th>\n",
       "      <th>Nazwa</th>\n",
       "      <th>Tryb pracy</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
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       "      <th>0</th>\n",
       "      <td>20230205</td>\n",
       "      <td>20230206122539</td>\n",
       "      <td>BEL 2-02</td>\n",
       "      <td>Bełchatów B02</td>\n",
       "      <td>Generacja</td>\n",
       "      <td>111.6</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>20230205</td>\n",
       "      <td>20230206122539</td>\n",
       "      <td>BEL 2-03</td>\n",
       "      <td>Bełchatów B03</td>\n",
       "      <td>Generacja</td>\n",
       "      <td>232.9</td>\n",
       "      <td>297.6</td>\n",
       "      <td>257.90</td>\n",
       "      <td>314.10</td>\n",
       "      <td>324.9</td>\n",
       "      <td>...</td>\n",
       "      <td>212.90</td>\n",
       "      <td>233.40</td>\n",
       "      <td>328.70</td>\n",
       "      <td>327.70</td>\n",
       "      <td>323.60</td>\n",
       "      <td>323.70</td>\n",
       "      <td>330.20</td>\n",
       "      <td>332.90</td>\n",
       "      <td>328.40</td>\n",
       "      <td>332.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20230205</td>\n",
       "      <td>20230206122539</td>\n",
       "      <td>BEL 2-04</td>\n",
       "      <td>Bełchatów B04</td>\n",
       "      <td>Generacja</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20230205</td>\n",
       "      <td>20230206122539</td>\n",
       "      <td>BEL 2-05</td>\n",
       "      <td>Bełchatów B05</td>\n",
       "      <td>Generacja</td>\n",
       "      <td>352.3</td>\n",
       "      <td>352.4</td>\n",
       "      <td>352.80</td>\n",
       "      <td>352.30</td>\n",
       "      <td>352.2</td>\n",
       "      <td>...</td>\n",
       "      <td>327.50</td>\n",
       "      <td>352.00</td>\n",
       "      <td>351.70</td>\n",
       "      <td>351.30</td>\n",
       "      <td>351.30</td>\n",
       "      <td>351.10</td>\n",
       "      <td>351.70</td>\n",
       "      <td>351.80</td>\n",
       "      <td>351.90</td>\n",
       "      <td>328.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20230205</td>\n",
       "      <td>20230206122539</td>\n",
       "      <td>BEL 4-06</td>\n",
       "      <td>Bełchatów B06</td>\n",
       "      <td>Generacja</td>\n",
       "      <td>279.9</td>\n",
       "      <td>193.6</td>\n",
       "      <td>223.67</td>\n",
       "      <td>344.73</td>\n",
       "      <td>365.4</td>\n",
       "      <td>...</td>\n",
       "      <td>315.31</td>\n",
       "      <td>344.98</td>\n",
       "      <td>368.08</td>\n",
       "      <td>369.27</td>\n",
       "      <td>368.54</td>\n",
       "      <td>368.75</td>\n",
       "      <td>369.67</td>\n",
       "      <td>369.48</td>\n",
       "      <td>369.33</td>\n",
       "      <td>369.29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
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      ],
      "text/plain": [
       "       Doba  Data publikacji       Kod          Nazwa Tryb pracy      1  \\\n",
       "0  20230205   20230206122539  BEL 2-02  Bełchatów B02  Generacja  111.6   \n",
       "1  20230205   20230206122539  BEL 2-03  Bełchatów B03  Generacja  232.9   \n",
       "2  20230205   20230206122539  BEL 2-04  Bełchatów B04  Generacja    0.0   \n",
       "3  20230205   20230206122539  BEL 2-05  Bełchatów B05  Generacja  352.3   \n",
       "4  20230205   20230206122539  BEL 4-06  Bełchatów B06  Generacja  279.9   \n",
       "\n",
       "       2       3       4      5  ...      15      16      17      18      19  \\\n",
       "0    0.0    0.00    0.00    0.0  ...    0.00    0.00    0.00    0.00    0.00   \n",
       "1  297.6  257.90  314.10  324.9  ...  212.90  233.40  328.70  327.70  323.60   \n",
       "2    0.0    0.00    0.00    0.0  ...    0.00    0.00    0.00    0.00    0.00   \n",
       "3  352.4  352.80  352.30  352.2  ...  327.50  352.00  351.70  351.30  351.30   \n",
       "4  193.6  223.67  344.73  365.4  ...  315.31  344.98  368.08  369.27  368.54   \n",
       "\n",
       "       20      21      22      23      24  \n",
       "0    0.00    0.00    0.00    0.00    0.00  \n",
       "1  323.70  330.20  332.90  328.40  332.90  \n",
       "2    0.00    0.00    0.00    0.00    0.00  \n",
       "3  351.10  351.70  351.80  351.90  328.60  \n",
       "4  368.75  369.67  369.48  369.33  369.29  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# quick look at the numbers\n",
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Data</th>\n",
       "      <th>Godzina</th>\n",
       "      <th>Krajowe zapotrzebowanie na moc</th>\n",
       "      <th>Sumaryczna generacja JWCD</th>\n",
       "      <th>Sumaryczna generacja nJWCD</th>\n",
       "      <th>Krajowe saldo wymiany międzysystemowej równoległej</th>\n",
       "      <th>Krajowe saldo wymiany międzysystemowej nierównoległej</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>1</td>\n",
       "      <td>16664.888</td>\n",
       "      <td>9837.463</td>\n",
       "      <td>7017.188</td>\n",
       "      <td>-954.238</td>\n",
       "      <td>901.950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>2</td>\n",
       "      <td>16178.838</td>\n",
       "      <td>9690.425</td>\n",
       "      <td>6819.038</td>\n",
       "      <td>-984.163</td>\n",
       "      <td>919.925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>3</td>\n",
       "      <td>15860.288</td>\n",
       "      <td>9580.663</td>\n",
       "      <td>6649.625</td>\n",
       "      <td>-879.588</td>\n",
       "      <td>919.650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>4</td>\n",
       "      <td>15789.025</td>\n",
       "      <td>10376.300</td>\n",
       "      <td>6394.238</td>\n",
       "      <td>-1486.763</td>\n",
       "      <td>920.388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>5</td>\n",
       "      <td>15888.325</td>\n",
       "      <td>10590.025</td>\n",
       "      <td>6083.525</td>\n",
       "      <td>-1295.988</td>\n",
       "      <td>920.600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Data  Godzina  Krajowe zapotrzebowanie na moc  \\\n",
       "0  2023-02-05        1                       16664.888   \n",
       "1  2023-02-05        2                       16178.838   \n",
       "2  2023-02-05        3                       15860.288   \n",
       "3  2023-02-05        4                       15789.025   \n",
       "4  2023-02-05        5                       15888.325   \n",
       "\n",
       "   Sumaryczna generacja JWCD  Sumaryczna generacja nJWCD  \\\n",
       "0                   9837.463                    7017.188   \n",
       "1                   9690.425                    6819.038   \n",
       "2                   9580.663                    6649.625   \n",
       "3                  10376.300                    6394.238   \n",
       "4                  10590.025                    6083.525   \n",
       "\n",
       "   Krajowe saldo wymiany międzysystemowej równoległej  \\\n",
       "0                                           -954.238    \n",
       "1                                           -984.163    \n",
       "2                                           -879.588    \n",
       "3                                          -1486.763    \n",
       "4                                          -1295.988    \n",
       "\n",
       "   Krajowe saldo wymiany międzysystemowej nierównoległej  \n",
       "0                                            901.950      \n",
       "1                                            919.925      \n",
       "2                                            919.650      \n",
       "3                                            920.388      \n",
       "4                                            920.600      "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# quick look at the numbers\n",
    "df2.head(5)"
   ]
  }
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