mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-07-04 17:43:12 +02:00
2192 lines
89 KiB
Plaintext
2192 lines
89 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"..."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [],
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"source": [
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"pd.options.display.float_format = '{:.2f}'.format"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"..."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_26160\\3760256257.py:1: DtypeWarning: Columns (25) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
||
" df_dofinansowanie = pd.read_csv(\n"
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]
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}
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],
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"source": [
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"df_dofinansowanie = pd.read_csv(\n",
|
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" 'umowy_pelna_lista_krajowe.csv',\n",
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||
" encoding='ISO-8859-2',\n",
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" converters={'TERYT pe?ny': str},\n",
|
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" thousands=',')\n",
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"\n",
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"df_dofinansowanie = df_dofinansowanie.loc[df_dofinansowanie['TERYT pe?ny'] != ''].reset_index(drop=True)\n",
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"\n",
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||
"df_dofinansowanie['Dofinansowanie UE (PLN)'] = \\\n",
|
||
" df_dofinansowanie['Dofinansowanie UE (PLN)'].apply(pd.to_numeric)\n",
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||
"\n",
|
||
"df_dofinansowanie['Data rozpocz?cia realizacji'] = pd.to_datetime(df_dofinansowanie['Data rozpocz?cia realizacji'])\n",
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||
"df_dofinansowanie['Rok rozpocz?cia realizacji'] = df_dofinansowanie['Data rozpocz?cia realizacji'].dt.year\n",
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||
"\n",
|
||
"df_dofinansowanie['Data podpisania umowy pierwotnej'] = pd.to_datetime(df_dofinansowanie['Data podpisania umowy pierwotnej'])\n",
|
||
"df_dofinansowanie['Rok podpisania umowy pierwotnej'] = df_dofinansowanie['Data podpisania umowy pierwotnej'].dt.year"
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||
]
|
||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": 24,
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||
"metadata": {},
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||
"outputs": [],
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"source": [
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"df_dofinansowanie_agg = df_dofinansowanie \\\n",
|
||
" .groupby(['TERYT pe?ny', 'Rok rozpocz?cia realizacji'])['Dofinansowanie UE (PLN)'].sum().reset_index()\n",
|
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"df_dofinansowanie_agg = df_dofinansowanie_agg \\\n",
|
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" .rename(columns={'TERYT pe?ny': 'Kod', 'Rok rozpocz?cia realizacji': 'Rok', 'Dofinansowanie UE (PLN)': 'Suma'})\n",
|
||
"df_dofinansowanie_agg = df_dofinansowanie_agg \\\n",
|
||
" .loc[df_dofinansowanie_agg['Kod'].str.len() == 7].reset_index(drop=True)"
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||
]
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||
},
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{
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||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"..."
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||
]
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||
},
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{
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||
"cell_type": "code",
|
||
"execution_count": 25,
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"metadata": {},
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||
"outputs": [],
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||
"source": [
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"df_podz = pd.read_csv(\n",
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" 'PODZ_1410_CREL.csv',\n",
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" sep=';',\n",
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" converters={'Kod': str})\n",
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"df_podz = df_podz[['Kod', 'Rok', 'Wartosc']]\n",
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||
"df_podz = df_podz.loc[df_podz['Kod'].str.endswith(('1', '2', '3'))]\n",
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"df_podz = df_podz.dropna()\n",
|
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"df_podz = df_podz.rename(columns={\n",
|
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" 'Wartosc': 'Powierzchnia'})"
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||
]
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||
},
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{
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||
"cell_type": "code",
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||
"execution_count": 26,
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"metadata": {},
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||
"outputs": [],
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||
"source": [
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"df_wyna = pd.read_csv(\n",
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" 'WYNA_2497_CREL.csv',\n",
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" sep=';',\n",
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" converters={'Kod': str},\n",
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" decimal=',')\n",
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"df_wyna = df_wyna[['Kod', 'Wyszczególnienie', 'Rok', 'Wartosc']]\n",
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"df_wyna = df_wyna.dropna()\n",
|
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"df_wyna = df_wyna.pivot_table(index=['Kod', 'Rok'], columns='Wyszczególnienie', values='Wartosc').reset_index()\n",
|
||
"df_wyna = df_wyna.rename(columns={\n",
|
||
" 'ogółem': 'Wynagrodzenie_ogolem',\n",
|
||
" 'przeciętne miesięczne wynagrodzenia brutto w relacji do średniej krajowej (Polska=100)': 'Wynagrodzenie_w_relacji_do_sredniej'})"
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||
]
|
||
},
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||
{
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"cell_type": "code",
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||
"execution_count": 27,
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||
"metadata": {},
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"outputs": [
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||
{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_26160\\3644708252.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
||
" df_fina_1 = pd.read_csv(\n"
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]
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},
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{
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||
"data": {
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"text/html": [
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"<div>\n",
|
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"<style scoped>\n",
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||
" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
|
||
" }\n",
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||
"\n",
|
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" .dataframe tbody tr th {\n",
|
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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||
"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th>Rodzaje dochodów</th>\n",
|
||
" <th>Kod</th>\n",
|
||
" <th>Rok</th>\n",
|
||
" <th>Dochody_podatek_lesny</th>\n",
|
||
" <th>Dochody_podatek_PCC</th>\n",
|
||
" <th>Dochody_podatek_...</th>\n",
|
||
" <th>Dochody_podatek_od_nieruchomosci</th>\n",
|
||
" <th>Dochody_podatek_od_spadkow</th>\n",
|
||
" <th>Dochody_podatek_od_srodkow_transportowych</th>\n",
|
||
" <th>Dochody_podatek_rolny</th>\n",
|
||
" <th>Dochody_podatek_odrebne_ustawy</th>\n",
|
||
" <th>Dochody_razem</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2004</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>549608.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>13532989.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>625159.00</td>\n",
|
||
" <td>23687.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>41378568.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2005</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>609855.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>13667398.00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>700134.00</td>\n",
|
||
" <td>26634.00</td>\n",
|
||
" <td>15438121.00</td>\n",
|
||
" <td>43417443.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2006</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>844223.65</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>14633962.72</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>747182.64</td>\n",
|
||
" <td>11683.60</td>\n",
|
||
" <td>16647124.98</td>\n",
|
||
" <td>50319253.08</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2007</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>1344365.01</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>14944781.74</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>777345.52</td>\n",
|
||
" <td>19377.36</td>\n",
|
||
" <td>17436387.93</td>\n",
|
||
" <td>62025513.24</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2008</td>\n",
|
||
" <td>6799.55</td>\n",
|
||
" <td>1790135.40</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>16089534.56</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>836441.10</td>\n",
|
||
" <td>30823.60</td>\n",
|
||
" <td>19149551.45</td>\n",
|
||
" <td>80755930.93</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47078</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>154462.39</td>\n",
|
||
" <td>5361951.37</td>\n",
|
||
" <td>572868.36</td>\n",
|
||
" <td>108107448.79</td>\n",
|
||
" <td>437144.83</td>\n",
|
||
" <td>589658.88</td>\n",
|
||
" <td>51297.75</td>\n",
|
||
" <td>115274832.37</td>\n",
|
||
" <td>261780766.79</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47079</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>150329.31</td>\n",
|
||
" <td>6088184.20</td>\n",
|
||
" <td>468411.51</td>\n",
|
||
" <td>38527846.59</td>\n",
|
||
" <td>228886.23</td>\n",
|
||
" <td>608637.40</td>\n",
|
||
" <td>64855.15</td>\n",
|
||
" <td>46137150.39</td>\n",
|
||
" <td>167638796.15</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47080</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>156556.52</td>\n",
|
||
" <td>5125090.74</td>\n",
|
||
" <td>329522.12</td>\n",
|
||
" <td>78767466.83</td>\n",
|
||
" <td>552009.16</td>\n",
|
||
" <td>558925.68</td>\n",
|
||
" <td>48689.09</td>\n",
|
||
" <td>85538260.14</td>\n",
|
||
" <td>263006955.07</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47081</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>163778.36</td>\n",
|
||
" <td>9082482.28</td>\n",
|
||
" <td>492045.28</td>\n",
|
||
" <td>78491368.35</td>\n",
|
||
" <td>947992.83</td>\n",
|
||
" <td>602586.14</td>\n",
|
||
" <td>59824.46</td>\n",
|
||
" <td>89840077.70</td>\n",
|
||
" <td>252345800.93</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>47082</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2022</td>\n",
|
||
" <td>174823.49</td>\n",
|
||
" <td>7474079.65</td>\n",
|
||
" <td>1019054.56</td>\n",
|
||
" <td>84996948.99</td>\n",
|
||
" <td>593315.54</td>\n",
|
||
" <td>627169.86</td>\n",
|
||
" <td>50987.00</td>\n",
|
||
" <td>94936379.09</td>\n",
|
||
" <td>259310641.60</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>47083 rows × 11 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"Rodzaje dochodów Kod Rok Dochody_podatek_lesny Dochody_podatek_PCC \n",
|
||
"0 0201011 2004 NaN 549608.00 \\\n",
|
||
"1 0201011 2005 NaN 609855.00 \n",
|
||
"2 0201011 2006 NaN 844223.65 \n",
|
||
"3 0201011 2007 NaN 1344365.01 \n",
|
||
"4 0201011 2008 6799.55 1790135.40 \n",
|
||
"... ... ... ... ... \n",
|
||
"47078 3263011 2018 154462.39 5361951.37 \n",
|
||
"47079 3263011 2019 150329.31 6088184.20 \n",
|
||
"47080 3263011 2020 156556.52 5125090.74 \n",
|
||
"47081 3263011 2021 163778.36 9082482.28 \n",
|
||
"47082 3263011 2022 174823.49 7474079.65 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_podatek_... Dochody_podatek_od_nieruchomosci \n",
|
||
"0 NaN 13532989.00 \\\n",
|
||
"1 NaN 13667398.00 \n",
|
||
"2 NaN 14633962.72 \n",
|
||
"3 NaN 14944781.74 \n",
|
||
"4 NaN 16089534.56 \n",
|
||
"... ... ... \n",
|
||
"47078 572868.36 108107448.79 \n",
|
||
"47079 468411.51 38527846.59 \n",
|
||
"47080 329522.12 78767466.83 \n",
|
||
"47081 492045.28 78491368.35 \n",
|
||
"47082 1019054.56 84996948.99 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_podatek_od_spadkow \n",
|
||
"0 NaN \\\n",
|
||
"1 NaN \n",
|
||
"2 NaN \n",
|
||
"3 NaN \n",
|
||
"4 NaN \n",
|
||
"... ... \n",
|
||
"47078 437144.83 \n",
|
||
"47079 228886.23 \n",
|
||
"47080 552009.16 \n",
|
||
"47081 947992.83 \n",
|
||
"47082 593315.54 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_podatek_od_srodkow_transportowych \n",
|
||
"0 625159.00 \\\n",
|
||
"1 700134.00 \n",
|
||
"2 747182.64 \n",
|
||
"3 777345.52 \n",
|
||
"4 836441.10 \n",
|
||
"... ... \n",
|
||
"47078 589658.88 \n",
|
||
"47079 608637.40 \n",
|
||
"47080 558925.68 \n",
|
||
"47081 602586.14 \n",
|
||
"47082 627169.86 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_podatek_rolny Dochody_podatek_odrebne_ustawy \n",
|
||
"0 23687.00 NaN \\\n",
|
||
"1 26634.00 15438121.00 \n",
|
||
"2 11683.60 16647124.98 \n",
|
||
"3 19377.36 17436387.93 \n",
|
||
"4 30823.60 19149551.45 \n",
|
||
"... ... ... \n",
|
||
"47078 51297.75 115274832.37 \n",
|
||
"47079 64855.15 46137150.39 \n",
|
||
"47080 48689.09 85538260.14 \n",
|
||
"47081 59824.46 89840077.70 \n",
|
||
"47082 50987.00 94936379.09 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_razem \n",
|
||
"0 41378568.00 \n",
|
||
"1 43417443.00 \n",
|
||
"2 50319253.08 \n",
|
||
"3 62025513.24 \n",
|
||
"4 80755930.93 \n",
|
||
"... ... \n",
|
||
"47078 261780766.79 \n",
|
||
"47079 167638796.15 \n",
|
||
"47080 263006955.07 \n",
|
||
"47081 252345800.93 \n",
|
||
"47082 259310641.60 \n",
|
||
"\n",
|
||
"[47083 rows x 11 columns]"
|
||
]
|
||
},
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_fina_1 = pd.read_csv(\n",
|
||
" 'FINA_2622_CREL_1.csv',\n",
|
||
" sep=';',\n",
|
||
" converters={'Kod': str},\n",
|
||
" decimal=',')\n",
|
||
"df_fina_1 = df_fina_1[['Kod', 'Rodzaje dochodów', 'Rok', 'Wartosc']]\n",
|
||
"df_fina_1 = df_fina_1.dropna()\n",
|
||
"df_fina_1 = df_fina_1.pivot_table(index=['Kod', 'Rok'], columns='Rodzaje dochodów', values='Wartosc').reset_index()\n",
|
||
"df_fina_1 = df_fina_1.rename(columns={\n",
|
||
" 'dochody podatkowe - podatek leśny': 'Dochody_podatek_lesny',\n",
|
||
" 'dochody podatkowe - podatek od czynności cywilnoprawnych': 'Dochody_podatek_PCC',\n",
|
||
" 'dochody podatkowe - podatek od działalności gospodarczej osób fizycznych, opłacany w formie karty podatkowej': 'Dochody_podatek_...',\n",
|
||
" 'dochody podatkowe - podatek od nieruchomości': 'Dochody_podatek_od_nieruchomosci',\n",
|
||
" 'dochody podatkowe - podatek od spadków i darowizn': 'Dochody_podatek_od_spadkow',\n",
|
||
" 'dochody podatkowe - podatek od środków transportowych': 'Dochody_podatek_od_srodkow_transportowych',\n",
|
||
" 'dochody podatkowe - podatek rolny': 'Dochody_podatek_rolny',\n",
|
||
" 'dochody podatkowe - ustalone i pobierane na podstawie odrębnych ustaw': 'Dochody_podatek_odrebne_ustawy',\n",
|
||
" 'razem': 'Dochody_razem'})\n",
|
||
"\n",
|
||
"df_fina_1"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_26160\\2161929356.py:1: DtypeWarning: Columns (7) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
||
" df_fina_2 = pd.read_csv(\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
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|
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||
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|
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|
||
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|
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||
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|
||
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|
||
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|
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|
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||
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||
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||
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|
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>3</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <td>339654.15</td>\n",
|
||
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||
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||
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||
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|
||
" <td>23122010.02</td>\n",
|
||
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|
||
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|
||
" <td>1228704.53</td>\n",
|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2008</td>\n",
|
||
" <td>22797881.07</td>\n",
|
||
" <td>9546379.31</td>\n",
|
||
" <td>787256.69</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
" <td>608625.90</td>\n",
|
||
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|
||
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|
||
" <th>47079</th>\n",
|
||
" <td>3263011</td>\n",
|
||
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|
||
" <td>8844350.07</td>\n",
|
||
" <td>4324758.68</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>415686.53</td>\n",
|
||
" <td>610059.50</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>47080</th>\n",
|
||
" <td>3263011</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
],
|
||
"text/plain": [
|
||
"Rodzaje dochodów Kod Rok Dochody_z_majatku \n",
|
||
"0 0201011 2004 5344205.00 \\\n",
|
||
"1 0201011 2005 4560489.00 \n",
|
||
"2 0201011 2006 8528727.69 \n",
|
||
"3 0201011 2007 15042480.34 \n",
|
||
"4 0201011 2008 22797881.07 \n",
|
||
"... ... ... ... \n",
|
||
"47078 3263011 2018 16419859.31 \n",
|
||
"47079 3263011 2019 8844350.07 \n",
|
||
"47080 3263011 2020 13485033.97 \n",
|
||
"47081 3263011 2021 16928500.75 \n",
|
||
"47082 3263011 2022 30415536.99 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_z_najmu_i_dzierzawy Dochody_z_uslug \n",
|
||
"0 NaN 184307.00 \\\n",
|
||
"1 NaN 96462.00 \n",
|
||
"2 NaN 231470.96 \n",
|
||
"3 9219682.12 339654.15 \n",
|
||
"4 9546379.31 787256.69 \n",
|
||
"... ... ... \n",
|
||
"47078 4261374.83 1996824.80 \n",
|
||
"47079 4324758.68 2187576.47 \n",
|
||
"47080 6159923.01 1917372.55 \n",
|
||
"47081 7582499.62 4110105.72 \n",
|
||
"47082 8651170.05 4117086.30 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_dofinansowanie_inwestycyjne \n",
|
||
"0 NaN \\\n",
|
||
"1 NaN \n",
|
||
"2 8752288.98 \n",
|
||
"3 18153240.30 \n",
|
||
"4 5046691.69 \n",
|
||
"... ... \n",
|
||
"47078 25285.92 \n",
|
||
"47079 0.00 \n",
|
||
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|
||
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|
||
"47082 207597.50 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Dochody_dofinansowanie_razem \n",
|
||
"0 519209.00 \\\n",
|
||
"1 9024183.00 \n",
|
||
"2 8864860.57 \n",
|
||
"3 18438743.21 \n",
|
||
"4 5182137.79 \n",
|
||
"... ... \n",
|
||
"47078 237485.34 \n",
|
||
"47079 225831.84 \n",
|
||
"47080 21192313.05 \n",
|
||
"47081 1072910.83 \n",
|
||
"47082 800347.63 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Udzialy_w_podatkach_dochodowych_od_osob_fizycznych \n",
|
||
"0 13285456.00 \\\n",
|
||
"1 15985331.00 \n",
|
||
"2 18101668.00 \n",
|
||
"3 21785308.00 \n",
|
||
"4 23974587.00 \n",
|
||
"... ... \n",
|
||
"47078 52799183.00 \n",
|
||
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|
||
"47080 53739656.00 \n",
|
||
"47081 63936763.00 \n",
|
||
"47082 64657287.40 \n",
|
||
"\n",
|
||
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|
||
"0 1065169.00 \\\n",
|
||
"1 1170863.00 \n",
|
||
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|
||
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|
||
"4 1532633.44 \n",
|
||
"... ... \n",
|
||
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|
||
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|
||
"47080 3144444.38 \n",
|
||
"47081 3975531.95 \n",
|
||
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|
||
"\n",
|
||
"Rodzaje dochodów Udzialy_w_podatkach_dochodowych_razem \n",
|
||
"0 14350625.00 \\\n",
|
||
"1 17156194.00 \n",
|
||
"2 19149783.83 \n",
|
||
"3 23122010.02 \n",
|
||
"4 25507220.44 \n",
|
||
"... ... \n",
|
||
"47078 55489281.17 \n",
|
||
"47079 58089724.17 \n",
|
||
"47080 56884100.38 \n",
|
||
"47081 67912294.95 \n",
|
||
"47082 68739899.04 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Wplywy_z_innych_lokalnych_oplat \n",
|
||
"0 44200.00 \\\n",
|
||
"1 42840.00 \n",
|
||
"2 37365.00 \n",
|
||
"3 78798.51 \n",
|
||
"4 83882.94 \n",
|
||
"... ... \n",
|
||
"47078 10458871.30 \n",
|
||
"47079 11369287.11 \n",
|
||
"47080 12281916.71 \n",
|
||
"47081 17127683.55 \n",
|
||
"47082 19150342.25 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Wplywy_z_oplaty_eksploatacyjnej Wplywy_z_oplaty_skarbowej \n",
|
||
"0 NaN 1209998.00 \\\n",
|
||
"1 NaN 1282943.00 \n",
|
||
"2 NaN 1203990.73 \n",
|
||
"3 NaN 1228704.53 \n",
|
||
"4 NaN 1364245.93 \n",
|
||
"... ... ... \n",
|
||
"47078 4684.54 434077.88 \n",
|
||
"47079 3456.95 415686.53 \n",
|
||
"47080 5157.50 355201.29 \n",
|
||
"47081 27746.70 416473.03 \n",
|
||
"47082 5035.87 421424.91 \n",
|
||
"\n",
|
||
"Rodzaje dochodów Wplywy_z_oplaty_targowej \n",
|
||
"0 NaN \n",
|
||
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|
||
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|
||
"3 NaN \n",
|
||
"4 NaN \n",
|
||
"... ... \n",
|
||
"47078 608625.90 \n",
|
||
"47079 610059.50 \n",
|
||
"47080 507341.00 \n",
|
||
"47081 0.00 \n",
|
||
"47082 1233266.30 \n",
|
||
"\n",
|
||
"[47083 rows x 14 columns]"
|
||
]
|
||
},
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_fina_2 = pd.read_csv(\n",
|
||
" 'FINA_2622_CREL_2.csv',\n",
|
||
" sep=';',\n",
|
||
" converters={'Kod': str},\n",
|
||
" decimal=',')\n",
|
||
"df_fina_2 = df_fina_2[['Kod', 'Rodzaje dochodów', 'Rok', 'Wartosc']]\n",
|
||
"df_fina_2 = df_fina_2.dropna()\n",
|
||
"df_fina_2 = df_fina_2.pivot_table(index=['Kod', 'Rok'], columns='Rodzaje dochodów', values='Wartosc').reset_index()\n",
|
||
"df_fina_2 = df_fina_2.rename(columns={\n",
|
||
" 'dochody z majątku': 'Dochody_z_majatku',\n",
|
||
" 'dochody z majątku - dochody z najmu i dzierżawy składników majątkowych JST oraz innych umów o podobnym charakterze': 'Dochody_z_najmu_i_dzierzawy',\n",
|
||
" 'pozostałe dochody - wpływy z usług': 'Dochody_z_uslug',\n",
|
||
" 'pozostałe dochody - środki na dofinansowanie własnych zadań pozyskane z innych źródeł - inwestycyjne': 'Dochody_dofinansowanie_inwestycyjne',\n",
|
||
" 'pozostałe dochody - środki na dofinansowanie własnych zadań pozyskane z innych źródeł - razem': 'Dochody_dofinansowanie_razem',\n",
|
||
" 'udziały w podatkach stanowiących dochody budżetu państwa podatek dochodowy od osób fizycznych': 'Udzialy_w_podatkach_dochodowych_od_osob_fizycznych',\n",
|
||
" 'udziały w podatkach stanowiących dochody budżetu państwa podatek dochodowy od osób prawnych': 'Udzialy_w_podatkach_dochodowych_od_osob_prywatnych',\n",
|
||
" 'udziały w podatkach stanowiących dochody budżetu państwa razem': 'Udzialy_w_podatkach_dochodowych_razem',\n",
|
||
" 'wpływy z innych lokalnych opłat pobieranych przez jednostki samorządu terytorialnego na podstawie odrębnych ustaw': 'Wplywy_z_innych_lokalnych_oplat',\n",
|
||
" 'wpływy z opłaty eksploatacyjnej': 'Wplywy_z_oplaty_eksploatacyjnej',\n",
|
||
" 'wpływy z opłaty skarbowej': 'Wplywy_z_oplaty_skarbowej',\n",
|
||
" 'wpływy z opłaty targowej': 'Wplywy_z_oplaty_targowej'})\n",
|
||
"\n",
|
||
"df_fina_2"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<div>\n",
|
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"<style scoped>\n",
|
||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||
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|
||
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|
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|
||
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|
||
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|
||
" <th>Wiek</th>\n",
|
||
" <th>Kod</th>\n",
|
||
" <th>Rok</th>\n",
|
||
" <th>Ludnosc_ogolem</th>\n",
|
||
" <th>Ludnosc_w_wieku_poprodukcyjnym</th>\n",
|
||
" <th>Ludnosc_w_wieku_produkcyjnym</th>\n",
|
||
" <th>Ludnosc_w_wieku_produkcyjnym_mobilnym</th>\n",
|
||
" <th>Ludnosc_w_wieku_produkcyjnym_niemobilnym</th>\n",
|
||
" <th>Ludnosc_w_wieku_przedprodukcyjnym</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2010</td>\n",
|
||
" <td>40309.00</td>\n",
|
||
" <td>7683.00</td>\n",
|
||
" <td>26085.00</td>\n",
|
||
" <td>15183.00</td>\n",
|
||
" <td>10902.00</td>\n",
|
||
" <td>6541.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2011</td>\n",
|
||
" <td>40119.00</td>\n",
|
||
" <td>8020.00</td>\n",
|
||
" <td>25647.00</td>\n",
|
||
" <td>15047.00</td>\n",
|
||
" <td>10600.00</td>\n",
|
||
" <td>6452.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2012</td>\n",
|
||
" <td>39851.00</td>\n",
|
||
" <td>8392.00</td>\n",
|
||
" <td>25160.00</td>\n",
|
||
" <td>14932.00</td>\n",
|
||
" <td>10228.00</td>\n",
|
||
" <td>6299.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2013</td>\n",
|
||
" <td>39603.00</td>\n",
|
||
" <td>8678.00</td>\n",
|
||
" <td>24720.00</td>\n",
|
||
" <td>14784.00</td>\n",
|
||
" <td>9936.00</td>\n",
|
||
" <td>6205.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2014</td>\n",
|
||
" <td>39464.00</td>\n",
|
||
" <td>8971.00</td>\n",
|
||
" <td>24307.00</td>\n",
|
||
" <td>14645.00</td>\n",
|
||
" <td>9662.00</td>\n",
|
||
" <td>6186.00</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48606</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>40910.00</td>\n",
|
||
" <td>10472.00</td>\n",
|
||
" <td>24549.00</td>\n",
|
||
" <td>14683.00</td>\n",
|
||
" <td>9866.00</td>\n",
|
||
" <td>5889.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48607</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>40888.00</td>\n",
|
||
" <td>10788.00</td>\n",
|
||
" <td>24209.00</td>\n",
|
||
" <td>14429.00</td>\n",
|
||
" <td>9780.00</td>\n",
|
||
" <td>5891.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48608</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>40326.00</td>\n",
|
||
" <td>10962.00</td>\n",
|
||
" <td>23544.00</td>\n",
|
||
" <td>13798.00</td>\n",
|
||
" <td>9746.00</td>\n",
|
||
" <td>5820.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48609</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>39834.00</td>\n",
|
||
" <td>11050.00</td>\n",
|
||
" <td>22976.00</td>\n",
|
||
" <td>13277.00</td>\n",
|
||
" <td>9699.00</td>\n",
|
||
" <td>5808.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48610</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2022</td>\n",
|
||
" <td>39368.00</td>\n",
|
||
" <td>11157.00</td>\n",
|
||
" <td>22486.00</td>\n",
|
||
" <td>12802.00</td>\n",
|
||
" <td>9684.00</td>\n",
|
||
" <td>5725.00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>48611 rows × 8 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"Wiek Kod Rok Ludnosc_ogolem Ludnosc_w_wieku_poprodukcyjnym \n",
|
||
"0 0201011 2010 40309.00 7683.00 \\\n",
|
||
"1 0201011 2011 40119.00 8020.00 \n",
|
||
"2 0201011 2012 39851.00 8392.00 \n",
|
||
"3 0201011 2013 39603.00 8678.00 \n",
|
||
"4 0201011 2014 39464.00 8971.00 \n",
|
||
"... ... ... ... ... \n",
|
||
"48606 3263011 2018 40910.00 10472.00 \n",
|
||
"48607 3263011 2019 40888.00 10788.00 \n",
|
||
"48608 3263011 2020 40326.00 10962.00 \n",
|
||
"48609 3263011 2021 39834.00 11050.00 \n",
|
||
"48610 3263011 2022 39368.00 11157.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_w_wieku_produkcyjnym Ludnosc_w_wieku_produkcyjnym_mobilnym \n",
|
||
"0 26085.00 15183.00 \\\n",
|
||
"1 25647.00 15047.00 \n",
|
||
"2 25160.00 14932.00 \n",
|
||
"3 24720.00 14784.00 \n",
|
||
"4 24307.00 14645.00 \n",
|
||
"... ... ... \n",
|
||
"48606 24549.00 14683.00 \n",
|
||
"48607 24209.00 14429.00 \n",
|
||
"48608 23544.00 13798.00 \n",
|
||
"48609 22976.00 13277.00 \n",
|
||
"48610 22486.00 12802.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_w_wieku_produkcyjnym_niemobilnym \n",
|
||
"0 10902.00 \\\n",
|
||
"1 10600.00 \n",
|
||
"2 10228.00 \n",
|
||
"3 9936.00 \n",
|
||
"4 9662.00 \n",
|
||
"... ... \n",
|
||
"48606 9866.00 \n",
|
||
"48607 9780.00 \n",
|
||
"48608 9746.00 \n",
|
||
"48609 9699.00 \n",
|
||
"48610 9684.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_w_wieku_przedprodukcyjnym \n",
|
||
"0 6541.00 \n",
|
||
"1 6452.00 \n",
|
||
"2 6299.00 \n",
|
||
"3 6205.00 \n",
|
||
"4 6186.00 \n",
|
||
"... ... \n",
|
||
"48606 5889.00 \n",
|
||
"48607 5891.00 \n",
|
||
"48608 5820.00 \n",
|
||
"48609 5808.00 \n",
|
||
"48610 5725.00 \n",
|
||
"\n",
|
||
"[48611 rows x 8 columns]"
|
||
]
|
||
},
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_ludn_1 = pd.read_csv( # ogolem\n",
|
||
" 'LUDN_1342_CREL_1.csv',\n",
|
||
" sep=';',\n",
|
||
" converters={'Kod': str},\n",
|
||
" decimal=',')\n",
|
||
"df_ludn_1 = df_ludn_1[['Kod', 'Wiek', 'Rok', 'Wartosc']]\n",
|
||
"df_ludn_1 = df_ludn_1.dropna()\n",
|
||
"df_ludn_1 = df_ludn_1.pivot_table(index=['Kod', 'Rok'], columns='Wiek', values='Wartosc').reset_index()\n",
|
||
"df_ludn_1 = df_ludn_1.rename(columns={\n",
|
||
" 'ogółem': 'Ludnosc_ogolem',\n",
|
||
" 'w wieku poprodukcyjnym': 'Ludnosc_w_wieku_poprodukcyjnym',\n",
|
||
" 'w wieku produkcyjnym': 'Ludnosc_w_wieku_produkcyjnym',\n",
|
||
" 'w wieku produkcyjnym mobilnym': 'Ludnosc_w_wieku_produkcyjnym_mobilnym',\n",
|
||
" 'w wieku produkcyjnym niemobilnym': 'Ludnosc_w_wieku_produkcyjnym_niemobilnym',\n",
|
||
" 'w wieku przedprodukcyjnym': 'Ludnosc_w_wieku_przedprodukcyjnym'})\n",
|
||
"\n",
|
||
"df_ludn_1"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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|
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"<style scoped>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
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|
||
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|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th>Wiek</th>\n",
|
||
" <th>Kod</th>\n",
|
||
" <th>Rok</th>\n",
|
||
" <th>Ludnosc_mezczyzni</th>\n",
|
||
" <th>Ludnosc_mezczyzni_w_wieku_poprodukcyjnym</th>\n",
|
||
" <th>Ludnosc_mezczyzni_w_wieku_produkcyjnym</th>\n",
|
||
" <th>Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym</th>\n",
|
||
" <th>Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym</th>\n",
|
||
" <th>Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2010</td>\n",
|
||
" <td>19085.00</td>\n",
|
||
" <td>2153.00</td>\n",
|
||
" <td>13535.00</td>\n",
|
||
" <td>7720.00</td>\n",
|
||
" <td>5815.00</td>\n",
|
||
" <td>3397.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2011</td>\n",
|
||
" <td>18985.00</td>\n",
|
||
" <td>2222.00</td>\n",
|
||
" <td>13398.00</td>\n",
|
||
" <td>7647.00</td>\n",
|
||
" <td>5751.00</td>\n",
|
||
" <td>3365.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2012</td>\n",
|
||
" <td>18859.00</td>\n",
|
||
" <td>2370.00</td>\n",
|
||
" <td>13238.00</td>\n",
|
||
" <td>7611.00</td>\n",
|
||
" <td>5627.00</td>\n",
|
||
" <td>3251.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2013</td>\n",
|
||
" <td>18737.00</td>\n",
|
||
" <td>2477.00</td>\n",
|
||
" <td>13028.00</td>\n",
|
||
" <td>7501.00</td>\n",
|
||
" <td>5527.00</td>\n",
|
||
" <td>3232.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2014</td>\n",
|
||
" <td>18640.00</td>\n",
|
||
" <td>2620.00</td>\n",
|
||
" <td>12832.00</td>\n",
|
||
" <td>7442.00</td>\n",
|
||
" <td>5390.00</td>\n",
|
||
" <td>3188.00</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48606</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>19690.00</td>\n",
|
||
" <td>3501.00</td>\n",
|
||
" <td>13202.00</td>\n",
|
||
" <td>7547.00</td>\n",
|
||
" <td>5655.00</td>\n",
|
||
" <td>2987.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48607</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>19683.00</td>\n",
|
||
" <td>3644.00</td>\n",
|
||
" <td>13044.00</td>\n",
|
||
" <td>7417.00</td>\n",
|
||
" <td>5627.00</td>\n",
|
||
" <td>2995.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48608</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>19356.00</td>\n",
|
||
" <td>3749.00</td>\n",
|
||
" <td>12617.00</td>\n",
|
||
" <td>6986.00</td>\n",
|
||
" <td>5631.00</td>\n",
|
||
" <td>2990.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48609</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>19096.00</td>\n",
|
||
" <td>3852.00</td>\n",
|
||
" <td>12267.00</td>\n",
|
||
" <td>6747.00</td>\n",
|
||
" <td>5520.00</td>\n",
|
||
" <td>2977.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48610</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2022</td>\n",
|
||
" <td>18869.00</td>\n",
|
||
" <td>3901.00</td>\n",
|
||
" <td>12009.00</td>\n",
|
||
" <td>6485.00</td>\n",
|
||
" <td>5524.00</td>\n",
|
||
" <td>2959.00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>48611 rows × 8 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"Wiek Kod Rok Ludnosc_mezczyzni \n",
|
||
"0 0201011 2010 19085.00 \\\n",
|
||
"1 0201011 2011 18985.00 \n",
|
||
"2 0201011 2012 18859.00 \n",
|
||
"3 0201011 2013 18737.00 \n",
|
||
"4 0201011 2014 18640.00 \n",
|
||
"... ... ... ... \n",
|
||
"48606 3263011 2018 19690.00 \n",
|
||
"48607 3263011 2019 19683.00 \n",
|
||
"48608 3263011 2020 19356.00 \n",
|
||
"48609 3263011 2021 19096.00 \n",
|
||
"48610 3263011 2022 18869.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_mezczyzni_w_wieku_poprodukcyjnym \n",
|
||
"0 2153.00 \\\n",
|
||
"1 2222.00 \n",
|
||
"2 2370.00 \n",
|
||
"3 2477.00 \n",
|
||
"4 2620.00 \n",
|
||
"... ... \n",
|
||
"48606 3501.00 \n",
|
||
"48607 3644.00 \n",
|
||
"48608 3749.00 \n",
|
||
"48609 3852.00 \n",
|
||
"48610 3901.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_mezczyzni_w_wieku_produkcyjnym \n",
|
||
"0 13535.00 \\\n",
|
||
"1 13398.00 \n",
|
||
"2 13238.00 \n",
|
||
"3 13028.00 \n",
|
||
"4 12832.00 \n",
|
||
"... ... \n",
|
||
"48606 13202.00 \n",
|
||
"48607 13044.00 \n",
|
||
"48608 12617.00 \n",
|
||
"48609 12267.00 \n",
|
||
"48610 12009.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym \n",
|
||
"0 7720.00 \\\n",
|
||
"1 7647.00 \n",
|
||
"2 7611.00 \n",
|
||
"3 7501.00 \n",
|
||
"4 7442.00 \n",
|
||
"... ... \n",
|
||
"48606 7547.00 \n",
|
||
"48607 7417.00 \n",
|
||
"48608 6986.00 \n",
|
||
"48609 6747.00 \n",
|
||
"48610 6485.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym \n",
|
||
"0 5815.00 \\\n",
|
||
"1 5751.00 \n",
|
||
"2 5627.00 \n",
|
||
"3 5527.00 \n",
|
||
"4 5390.00 \n",
|
||
"... ... \n",
|
||
"48606 5655.00 \n",
|
||
"48607 5627.00 \n",
|
||
"48608 5631.00 \n",
|
||
"48609 5520.00 \n",
|
||
"48610 5524.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym \n",
|
||
"0 3397.00 \n",
|
||
"1 3365.00 \n",
|
||
"2 3251.00 \n",
|
||
"3 3232.00 \n",
|
||
"4 3188.00 \n",
|
||
"... ... \n",
|
||
"48606 2987.00 \n",
|
||
"48607 2995.00 \n",
|
||
"48608 2990.00 \n",
|
||
"48609 2977.00 \n",
|
||
"48610 2959.00 \n",
|
||
"\n",
|
||
"[48611 rows x 8 columns]"
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_ludn_2 = pd.read_csv( # mezczyzni\n",
|
||
" 'LUDN_1342_CREL_2.csv',\n",
|
||
" sep=';',\n",
|
||
" converters={'Kod': str},\n",
|
||
" decimal=',')\n",
|
||
"df_ludn_2 = df_ludn_2[['Kod', 'Wiek', 'Rok', 'Wartosc']]\n",
|
||
"df_ludn_2 = df_ludn_2.dropna()\n",
|
||
"df_ludn_2 = df_ludn_2.pivot_table(index=['Kod', 'Rok'], columns='Wiek', values='Wartosc').reset_index()\n",
|
||
"df_ludn_2 = df_ludn_2.rename(columns={\n",
|
||
" 'ogółem': 'Ludnosc_mezczyzni',\n",
|
||
" 'w wieku poprodukcyjnym': 'Ludnosc_mezczyzni_w_wieku_poprodukcyjnym',\n",
|
||
" 'w wieku produkcyjnym': 'Ludnosc_mezczyzni_w_wieku_produkcyjnym',\n",
|
||
" 'w wieku produkcyjnym mobilnym': 'Ludnosc_mezczyzni_w_wieku_produkcyjnym_mobilnym',\n",
|
||
" 'w wieku produkcyjnym niemobilnym': 'Ludnosc_mezczyzni_w_wieku_produkcyjnym_niemobilnym',\n",
|
||
" 'w wieku przedprodukcyjnym': 'Ludnosc_mezczyzni_w_wieku_przedprodukcyjnym'})\n",
|
||
"\n",
|
||
"df_ludn_2"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
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|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
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|
||
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|
||
"\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>Wiek</th>\n",
|
||
" <th>Kod</th>\n",
|
||
" <th>Rok</th>\n",
|
||
" <th>Ludnosc_kobiety</th>\n",
|
||
" <th>Ludnosc_kobiety_w_wieku_poprodukcyjnym</th>\n",
|
||
" <th>Ludnosc_kobiety_w_wieku_produkcyjnym</th>\n",
|
||
" <th>Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym</th>\n",
|
||
" <th>Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym</th>\n",
|
||
" <th>Ludnosc_kobiety_w_wieku_przedprodukcyjnym</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2010</td>\n",
|
||
" <td>21224.00</td>\n",
|
||
" <td>5530.00</td>\n",
|
||
" <td>12550.00</td>\n",
|
||
" <td>7463.00</td>\n",
|
||
" <td>5087.00</td>\n",
|
||
" <td>3144.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2011</td>\n",
|
||
" <td>21134.00</td>\n",
|
||
" <td>5798.00</td>\n",
|
||
" <td>12249.00</td>\n",
|
||
" <td>7400.00</td>\n",
|
||
" <td>4849.00</td>\n",
|
||
" <td>3087.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2012</td>\n",
|
||
" <td>20992.00</td>\n",
|
||
" <td>6022.00</td>\n",
|
||
" <td>11922.00</td>\n",
|
||
" <td>7321.00</td>\n",
|
||
" <td>4601.00</td>\n",
|
||
" <td>3048.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2013</td>\n",
|
||
" <td>20866.00</td>\n",
|
||
" <td>6201.00</td>\n",
|
||
" <td>11692.00</td>\n",
|
||
" <td>7283.00</td>\n",
|
||
" <td>4409.00</td>\n",
|
||
" <td>2973.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2014</td>\n",
|
||
" <td>20824.00</td>\n",
|
||
" <td>6351.00</td>\n",
|
||
" <td>11475.00</td>\n",
|
||
" <td>7203.00</td>\n",
|
||
" <td>4272.00</td>\n",
|
||
" <td>2998.00</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48606</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>21220.00</td>\n",
|
||
" <td>6971.00</td>\n",
|
||
" <td>11347.00</td>\n",
|
||
" <td>7136.00</td>\n",
|
||
" <td>4211.00</td>\n",
|
||
" <td>2902.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48607</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>21205.00</td>\n",
|
||
" <td>7144.00</td>\n",
|
||
" <td>11165.00</td>\n",
|
||
" <td>7012.00</td>\n",
|
||
" <td>4153.00</td>\n",
|
||
" <td>2896.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48608</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>20970.00</td>\n",
|
||
" <td>7213.00</td>\n",
|
||
" <td>10927.00</td>\n",
|
||
" <td>6812.00</td>\n",
|
||
" <td>4115.00</td>\n",
|
||
" <td>2830.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48609</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>20738.00</td>\n",
|
||
" <td>7198.00</td>\n",
|
||
" <td>10709.00</td>\n",
|
||
" <td>6530.00</td>\n",
|
||
" <td>4179.00</td>\n",
|
||
" <td>2831.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>48610</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2022</td>\n",
|
||
" <td>20499.00</td>\n",
|
||
" <td>7256.00</td>\n",
|
||
" <td>10477.00</td>\n",
|
||
" <td>6317.00</td>\n",
|
||
" <td>4160.00</td>\n",
|
||
" <td>2766.00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>48611 rows × 8 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"Wiek Kod Rok Ludnosc_kobiety Ludnosc_kobiety_w_wieku_poprodukcyjnym \n",
|
||
"0 0201011 2010 21224.00 5530.00 \\\n",
|
||
"1 0201011 2011 21134.00 5798.00 \n",
|
||
"2 0201011 2012 20992.00 6022.00 \n",
|
||
"3 0201011 2013 20866.00 6201.00 \n",
|
||
"4 0201011 2014 20824.00 6351.00 \n",
|
||
"... ... ... ... ... \n",
|
||
"48606 3263011 2018 21220.00 6971.00 \n",
|
||
"48607 3263011 2019 21205.00 7144.00 \n",
|
||
"48608 3263011 2020 20970.00 7213.00 \n",
|
||
"48609 3263011 2021 20738.00 7198.00 \n",
|
||
"48610 3263011 2022 20499.00 7256.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_kobiety_w_wieku_produkcyjnym \n",
|
||
"0 12550.00 \\\n",
|
||
"1 12249.00 \n",
|
||
"2 11922.00 \n",
|
||
"3 11692.00 \n",
|
||
"4 11475.00 \n",
|
||
"... ... \n",
|
||
"48606 11347.00 \n",
|
||
"48607 11165.00 \n",
|
||
"48608 10927.00 \n",
|
||
"48609 10709.00 \n",
|
||
"48610 10477.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym \n",
|
||
"0 7463.00 \\\n",
|
||
"1 7400.00 \n",
|
||
"2 7321.00 \n",
|
||
"3 7283.00 \n",
|
||
"4 7203.00 \n",
|
||
"... ... \n",
|
||
"48606 7136.00 \n",
|
||
"48607 7012.00 \n",
|
||
"48608 6812.00 \n",
|
||
"48609 6530.00 \n",
|
||
"48610 6317.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym \n",
|
||
"0 5087.00 \\\n",
|
||
"1 4849.00 \n",
|
||
"2 4601.00 \n",
|
||
"3 4409.00 \n",
|
||
"4 4272.00 \n",
|
||
"... ... \n",
|
||
"48606 4211.00 \n",
|
||
"48607 4153.00 \n",
|
||
"48608 4115.00 \n",
|
||
"48609 4179.00 \n",
|
||
"48610 4160.00 \n",
|
||
"\n",
|
||
"Wiek Ludnosc_kobiety_w_wieku_przedprodukcyjnym \n",
|
||
"0 3144.00 \n",
|
||
"1 3087.00 \n",
|
||
"2 3048.00 \n",
|
||
"3 2973.00 \n",
|
||
"4 2998.00 \n",
|
||
"... ... \n",
|
||
"48606 2902.00 \n",
|
||
"48607 2896.00 \n",
|
||
"48608 2830.00 \n",
|
||
"48609 2831.00 \n",
|
||
"48610 2766.00 \n",
|
||
"\n",
|
||
"[48611 rows x 8 columns]"
|
||
]
|
||
},
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_ludn_3 = pd.read_csv( # kobiety\n",
|
||
" 'LUDN_1342_CREL_3.csv',\n",
|
||
" sep=';',\n",
|
||
" converters={'Kod': str},\n",
|
||
" decimal=',')\n",
|
||
"df_ludn_3 = df_ludn_3[['Kod', 'Wiek', 'Rok', 'Wartosc']]\n",
|
||
"df_ludn_3 = df_ludn_3.dropna()\n",
|
||
"df_ludn_3 = df_ludn_3.pivot_table(index=['Kod', 'Rok'], columns='Wiek', values='Wartosc').reset_index()\n",
|
||
"df_ludn_3 = df_ludn_3.rename(columns={\n",
|
||
" 'ogółem': 'Ludnosc_kobiety',\n",
|
||
" 'w wieku poprodukcyjnym': 'Ludnosc_kobiety_w_wieku_poprodukcyjnym',\n",
|
||
" 'w wieku produkcyjnym': 'Ludnosc_kobiety_w_wieku_produkcyjnym',\n",
|
||
" 'w wieku produkcyjnym mobilnym': 'Ludnosc_kobiety_w_wieku_produkcyjnym_mobilnym',\n",
|
||
" 'w wieku produkcyjnym niemobilnym': 'Ludnosc_kobiety_w_wieku_produkcyjnym_niemobilnym',\n",
|
||
" 'w wieku przedprodukcyjnym': 'Ludnosc_kobiety_w_wieku_przedprodukcyjnym'})\n",
|
||
"\n",
|
||
"df_ludn_3"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"..."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_data = df_dofinansowanie_agg.copy()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_data = df_data.merge(df_podz, left_on=[df_data['Kod'].str.slice(stop=-1), 'Rok'], right_on=[df_podz['Kod'].str.slice(stop=-1), 'Rok'], how='left', suffixes=(None, '_podz'))\n",
|
||
"df_data = df_data.drop(['key_0', 'Kod_podz'], axis=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_data = df_data.merge(df_wyna, left_on=[df_data['Kod'].str.slice(stop=-3), 'Rok'], right_on=[df_wyna['Kod'].str.slice(stop=-3), 'Rok'], how='left', suffixes=(None, '_wyna'))\n",
|
||
"df_data = df_data.drop(['key_0', 'Kod_wyna'], axis=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_data = df_data.merge(df_fina_1, left_on=[df_data['Kod'].str.slice(stop=-1), 'Rok'], right_on=[df_fina_1['Kod'].str.slice(stop=-1), 'Rok'], how='left', suffixes=(None, '_fina_1'))\n",
|
||
"df_data = df_data.drop(['key_0', 'Kod_fina_1'], axis=1)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_data = df_data.merge(df_fina_2, left_on=[df_data['Kod'].str.slice(stop=-1), 'Rok'], right_on=[df_fina_2['Kod'].str.slice(stop=-1), 'Rok'], how='left', suffixes=(None, '_fina_2'))\n",
|
||
"df_data = df_data.drop(['key_0', 'Kod_fina_2'], axis=1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"..."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
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|
||
" .dataframe tbody tr th {\n",
|
||
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|
||
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|
||
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|
||
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|
||
" 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>Kod</th>\n",
|
||
" <th>Rok</th>\n",
|
||
" <th>Suma</th>\n",
|
||
" <th>Powierzchnia</th>\n",
|
||
" <th>Wynagrodzenie_ogolem</th>\n",
|
||
" <th>Wynagrodzenie_w_relacji_do_sredniej</th>\n",
|
||
" <th>Dochody_podatek_lesny</th>\n",
|
||
" <th>Dochody_podatek_PCC</th>\n",
|
||
" <th>Dochody_podatek_...</th>\n",
|
||
" <th>Dochody_podatek_od_nieruchomosci</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>Dochody_z_uslug</th>\n",
|
||
" <th>Dochody_dofinansowanie_inwestycyjne</th>\n",
|
||
" <th>Dochody_dofinansowanie_razem</th>\n",
|
||
" <th>Udzialy_w_podatkach_dochodowych_od_osob_fizycznych</th>\n",
|
||
" <th>Udzialy_w_podatkach_dochodowych_od_osob_prywatnych</th>\n",
|
||
" <th>Udzialy_w_podatkach_dochodowych_razem</th>\n",
|
||
" <th>Wplywy_z_innych_lokalnych_oplat</th>\n",
|
||
" <th>Wplywy_z_oplaty_eksploatacyjnej</th>\n",
|
||
" <th>Wplywy_z_oplaty_skarbowej</th>\n",
|
||
" <th>Wplywy_z_oplaty_targowej</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2014</td>\n",
|
||
" <td>2482706.36</td>\n",
|
||
" <td>24.00</td>\n",
|
||
" <td>3422.90</td>\n",
|
||
" <td>85.50</td>\n",
|
||
" <td>8755.97</td>\n",
|
||
" <td>1530935.80</td>\n",
|
||
" <td>84220.54</td>\n",
|
||
" <td>23823448.76</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2380938.91</td>\n",
|
||
" <td>61031.32</td>\n",
|
||
" <td>1900308.99</td>\n",
|
||
" <td>27297399.00</td>\n",
|
||
" <td>1984447.80</td>\n",
|
||
" <td>29281846.80</td>\n",
|
||
" <td>7018623.68</td>\n",
|
||
" <td>28867.32</td>\n",
|
||
" <td>928926.81</td>\n",
|
||
" <td>188736.80</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2016</td>\n",
|
||
" <td>1016449.03</td>\n",
|
||
" <td>24.00</td>\n",
|
||
" <td>3666.19</td>\n",
|
||
" <td>85.40</td>\n",
|
||
" <td>14900.55</td>\n",
|
||
" <td>1631451.83</td>\n",
|
||
" <td>77726.70</td>\n",
|
||
" <td>21961009.53</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>3748786.27</td>\n",
|
||
" <td>111299.61</td>\n",
|
||
" <td>284981.40</td>\n",
|
||
" <td>31878605.00</td>\n",
|
||
" <td>3726450.74</td>\n",
|
||
" <td>35605055.74</td>\n",
|
||
" <td>7277990.62</td>\n",
|
||
" <td>31466.01</td>\n",
|
||
" <td>475771.76</td>\n",
|
||
" <td>158803.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2017</td>\n",
|
||
" <td>1507540.44</td>\n",
|
||
" <td>24.00</td>\n",
|
||
" <td>3901.94</td>\n",
|
||
" <td>86.20</td>\n",
|
||
" <td>14988.07</td>\n",
|
||
" <td>2022884.74</td>\n",
|
||
" <td>66169.12</td>\n",
|
||
" <td>22107840.97</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>4137582.84</td>\n",
|
||
" <td>89949.86</td>\n",
|
||
" <td>118699.74</td>\n",
|
||
" <td>34702412.00</td>\n",
|
||
" <td>2536379.13</td>\n",
|
||
" <td>37238791.13</td>\n",
|
||
" <td>7339238.14</td>\n",
|
||
" <td>24998.04</td>\n",
|
||
" <td>511127.33</td>\n",
|
||
" <td>131562.90</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>1125087.75</td>\n",
|
||
" <td>24.00</td>\n",
|
||
" <td>4214.66</td>\n",
|
||
" <td>87.20</td>\n",
|
||
" <td>15221.03</td>\n",
|
||
" <td>2519471.86</td>\n",
|
||
" <td>74351.81</td>\n",
|
||
" <td>22767685.01</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>5556645.41</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>24676.92</td>\n",
|
||
" <td>39128194.00</td>\n",
|
||
" <td>1506913.18</td>\n",
|
||
" <td>40635107.18</td>\n",
|
||
" <td>7494838.88</td>\n",
|
||
" <td>16194.57</td>\n",
|
||
" <td>479489.69</td>\n",
|
||
" <td>124935.70</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>0201011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>9052911.45</td>\n",
|
||
" <td>24.00</td>\n",
|
||
" <td>4887.95</td>\n",
|
||
" <td>88.50</td>\n",
|
||
" <td>15459.78</td>\n",
|
||
" <td>2632509.99</td>\n",
|
||
" <td>74425.14</td>\n",
|
||
" <td>28336580.30</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>5344170.62</td>\n",
|
||
" <td>2640028.00</td>\n",
|
||
" <td>2660441.20</td>\n",
|
||
" <td>40456699.00</td>\n",
|
||
" <td>2143819.12</td>\n",
|
||
" <td>42600518.12</td>\n",
|
||
" <td>7627128.14</td>\n",
|
||
" <td>5661.00</td>\n",
|
||
" <td>440259.90</td>\n",
|
||
" <td>62502.50</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>9723</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2017</td>\n",
|
||
" <td>467956789.99</td>\n",
|
||
" <td>197.00</td>\n",
|
||
" <td>4536.08</td>\n",
|
||
" <td>100.20</td>\n",
|
||
" <td>150527.43</td>\n",
|
||
" <td>5163900.56</td>\n",
|
||
" <td>587305.94</td>\n",
|
||
" <td>74099232.11</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>1859435.58</td>\n",
|
||
" <td>20000.18</td>\n",
|
||
" <td>212570.70</td>\n",
|
||
" <td>47760120.00</td>\n",
|
||
" <td>1199589.08</td>\n",
|
||
" <td>48959709.08</td>\n",
|
||
" <td>10930683.15</td>\n",
|
||
" <td>38789.78</td>\n",
|
||
" <td>404331.07</td>\n",
|
||
" <td>622509.60</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9724</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2018</td>\n",
|
||
" <td>11972196.58</td>\n",
|
||
" <td>202.00</td>\n",
|
||
" <td>4779.09</td>\n",
|
||
" <td>98.80</td>\n",
|
||
" <td>154462.39</td>\n",
|
||
" <td>5361951.37</td>\n",
|
||
" <td>572868.36</td>\n",
|
||
" <td>108107448.79</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>1996824.80</td>\n",
|
||
" <td>25285.92</td>\n",
|
||
" <td>237485.34</td>\n",
|
||
" <td>52799183.00</td>\n",
|
||
" <td>2690098.17</td>\n",
|
||
" <td>55489281.17</td>\n",
|
||
" <td>10458871.30</td>\n",
|
||
" <td>4684.54</td>\n",
|
||
" <td>434077.88</td>\n",
|
||
" <td>608625.90</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9725</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2019</td>\n",
|
||
" <td>2074346.69</td>\n",
|
||
" <td>202.00</td>\n",
|
||
" <td>5222.62</td>\n",
|
||
" <td>100.80</td>\n",
|
||
" <td>150329.31</td>\n",
|
||
" <td>6088184.20</td>\n",
|
||
" <td>468411.51</td>\n",
|
||
" <td>38527846.59</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2187576.47</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>225831.84</td>\n",
|
||
" <td>55319040.00</td>\n",
|
||
" <td>2770684.17</td>\n",
|
||
" <td>58089724.17</td>\n",
|
||
" <td>11369287.11</td>\n",
|
||
" <td>3456.95</td>\n",
|
||
" <td>415686.53</td>\n",
|
||
" <td>610059.50</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9726</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2020</td>\n",
|
||
" <td>8314185.11</td>\n",
|
||
" <td>202.00</td>\n",
|
||
" <td>5517.68</td>\n",
|
||
" <td>99.90</td>\n",
|
||
" <td>156556.52</td>\n",
|
||
" <td>5125090.74</td>\n",
|
||
" <td>329522.12</td>\n",
|
||
" <td>78767466.83</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>1917372.55</td>\n",
|
||
" <td>21002107.00</td>\n",
|
||
" <td>21192313.05</td>\n",
|
||
" <td>53739656.00</td>\n",
|
||
" <td>3144444.38</td>\n",
|
||
" <td>56884100.38</td>\n",
|
||
" <td>12281916.71</td>\n",
|
||
" <td>5157.50</td>\n",
|
||
" <td>355201.29</td>\n",
|
||
" <td>507341.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9727</th>\n",
|
||
" <td>3263011</td>\n",
|
||
" <td>2021</td>\n",
|
||
" <td>752819.71</td>\n",
|
||
" <td>202.00</td>\n",
|
||
" <td>5564.41</td>\n",
|
||
" <td>92.70</td>\n",
|
||
" <td>163778.36</td>\n",
|
||
" <td>9082482.28</td>\n",
|
||
" <td>492045.28</td>\n",
|
||
" <td>78491368.35</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>4110105.72</td>\n",
|
||
" <td>888293.63</td>\n",
|
||
" <td>1072910.83</td>\n",
|
||
" <td>63936763.00</td>\n",
|
||
" <td>3975531.95</td>\n",
|
||
" <td>67912294.95</td>\n",
|
||
" <td>17127683.55</td>\n",
|
||
" <td>27746.70</td>\n",
|
||
" <td>416473.03</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>9728 rows × 27 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Kod Rok Suma Powierzchnia Wynagrodzenie_ogolem \n",
|
||
"0 0201011 2014 2482706.36 24.00 3422.90 \\\n",
|
||
"1 0201011 2016 1016449.03 24.00 3666.19 \n",
|
||
"2 0201011 2017 1507540.44 24.00 3901.94 \n",
|
||
"3 0201011 2018 1125087.75 24.00 4214.66 \n",
|
||
"4 0201011 2020 9052911.45 24.00 4887.95 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"9723 3263011 2017 467956789.99 197.00 4536.08 \n",
|
||
"9724 3263011 2018 11972196.58 202.00 4779.09 \n",
|
||
"9725 3263011 2019 2074346.69 202.00 5222.62 \n",
|
||
"9726 3263011 2020 8314185.11 202.00 5517.68 \n",
|
||
"9727 3263011 2021 752819.71 202.00 5564.41 \n",
|
||
"\n",
|
||
" Wynagrodzenie_w_relacji_do_sredniej Dochody_podatek_lesny \n",
|
||
"0 85.50 8755.97 \\\n",
|
||
"1 85.40 14900.55 \n",
|
||
"2 86.20 14988.07 \n",
|
||
"3 87.20 15221.03 \n",
|
||
"4 88.50 15459.78 \n",
|
||
"... ... ... \n",
|
||
"9723 100.20 150527.43 \n",
|
||
"9724 98.80 154462.39 \n",
|
||
"9725 100.80 150329.31 \n",
|
||
"9726 99.90 156556.52 \n",
|
||
"9727 92.70 163778.36 \n",
|
||
"\n",
|
||
" Dochody_podatek_PCC Dochody_podatek_... \n",
|
||
"0 1530935.80 84220.54 \\\n",
|
||
"1 1631451.83 77726.70 \n",
|
||
"2 2022884.74 66169.12 \n",
|
||
"3 2519471.86 74351.81 \n",
|
||
"4 2632509.99 74425.14 \n",
|
||
"... ... ... \n",
|
||
"9723 5163900.56 587305.94 \n",
|
||
"9724 5361951.37 572868.36 \n",
|
||
"9725 6088184.20 468411.51 \n",
|
||
"9726 5125090.74 329522.12 \n",
|
||
"9727 9082482.28 492045.28 \n",
|
||
"\n",
|
||
" Dochody_podatek_od_nieruchomosci ... Dochody_z_uslug \n",
|
||
"0 23823448.76 ... 2380938.91 \\\n",
|
||
"1 21961009.53 ... 3748786.27 \n",
|
||
"2 22107840.97 ... 4137582.84 \n",
|
||
"3 22767685.01 ... 5556645.41 \n",
|
||
"4 28336580.30 ... 5344170.62 \n",
|
||
"... ... ... ... \n",
|
||
"9723 74099232.11 ... 1859435.58 \n",
|
||
"9724 108107448.79 ... 1996824.80 \n",
|
||
"9725 38527846.59 ... 2187576.47 \n",
|
||
"9726 78767466.83 ... 1917372.55 \n",
|
||
"9727 78491368.35 ... 4110105.72 \n",
|
||
"\n",
|
||
" Dochody_dofinansowanie_inwestycyjne Dochody_dofinansowanie_razem \n",
|
||
"0 61031.32 1900308.99 \\\n",
|
||
"1 111299.61 284981.40 \n",
|
||
"2 89949.86 118699.74 \n",
|
||
"3 0.00 24676.92 \n",
|
||
"4 2640028.00 2660441.20 \n",
|
||
"... ... ... \n",
|
||
"9723 20000.18 212570.70 \n",
|
||
"9724 25285.92 237485.34 \n",
|
||
"9725 0.00 225831.84 \n",
|
||
"9726 21002107.00 21192313.05 \n",
|
||
"9727 888293.63 1072910.83 \n",
|
||
"\n",
|
||
" Udzialy_w_podatkach_dochodowych_od_osob_fizycznych \n",
|
||
"0 27297399.00 \\\n",
|
||
"1 31878605.00 \n",
|
||
"2 34702412.00 \n",
|
||
"3 39128194.00 \n",
|
||
"4 40456699.00 \n",
|
||
"... ... \n",
|
||
"9723 47760120.00 \n",
|
||
"9724 52799183.00 \n",
|
||
"9725 55319040.00 \n",
|
||
"9726 53739656.00 \n",
|
||
"9727 63936763.00 \n",
|
||
"\n",
|
||
" Udzialy_w_podatkach_dochodowych_od_osob_prywatnych \n",
|
||
"0 1984447.80 \\\n",
|
||
"1 3726450.74 \n",
|
||
"2 2536379.13 \n",
|
||
"3 1506913.18 \n",
|
||
"4 2143819.12 \n",
|
||
"... ... \n",
|
||
"9723 1199589.08 \n",
|
||
"9724 2690098.17 \n",
|
||
"9725 2770684.17 \n",
|
||
"9726 3144444.38 \n",
|
||
"9727 3975531.95 \n",
|
||
"\n",
|
||
" Udzialy_w_podatkach_dochodowych_razem Wplywy_z_innych_lokalnych_oplat \n",
|
||
"0 29281846.80 7018623.68 \\\n",
|
||
"1 35605055.74 7277990.62 \n",
|
||
"2 37238791.13 7339238.14 \n",
|
||
"3 40635107.18 7494838.88 \n",
|
||
"4 42600518.12 7627128.14 \n",
|
||
"... ... ... \n",
|
||
"9723 48959709.08 10930683.15 \n",
|
||
"9724 55489281.17 10458871.30 \n",
|
||
"9725 58089724.17 11369287.11 \n",
|
||
"9726 56884100.38 12281916.71 \n",
|
||
"9727 67912294.95 17127683.55 \n",
|
||
"\n",
|
||
" Wplywy_z_oplaty_eksploatacyjnej Wplywy_z_oplaty_skarbowej \n",
|
||
"0 28867.32 928926.81 \\\n",
|
||
"1 31466.01 475771.76 \n",
|
||
"2 24998.04 511127.33 \n",
|
||
"3 16194.57 479489.69 \n",
|
||
"4 5661.00 440259.90 \n",
|
||
"... ... ... \n",
|
||
"9723 38789.78 404331.07 \n",
|
||
"9724 4684.54 434077.88 \n",
|
||
"9725 3456.95 415686.53 \n",
|
||
"9726 5157.50 355201.29 \n",
|
||
"9727 27746.70 416473.03 \n",
|
||
"\n",
|
||
" Wplywy_z_oplaty_targowej \n",
|
||
"0 188736.80 \n",
|
||
"1 158803.00 \n",
|
||
"2 131562.90 \n",
|
||
"3 124935.70 \n",
|
||
"4 62502.50 \n",
|
||
"... ... \n",
|
||
"9723 622509.60 \n",
|
||
"9724 608625.90 \n",
|
||
"9725 610059.50 \n",
|
||
"9726 507341.00 \n",
|
||
"9727 0.00 \n",
|
||
"\n",
|
||
"[9728 rows x 27 columns]"
|
||
]
|
||
},
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_data"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# df_data[df_data.isna().any(axis=1)] # ['Rok'].drop_duplicates().reset_index(drop=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Preprocessing"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.11.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|