print('# statystyki dla pełnego zbioru')

import pandas as pd
plant_all = pd.read_csv('data/Plant_1_Generation_Data.csv')
print(plant_all.describe(include='all'))

print('# statystyki dla zbioru dev')

plant_dev = pd.read_csv('data/Plant_1_Generation_Data.csv.dev')
print(plant_dev.describe(include='all'))

print('# statystyki dla zbioru test')

plant_test = pd.read_csv('data/Plant_1_Generation_Data.csv.test')
print(plant_test.describe(include='all'))

print('# statystyki dla zbioru train')

plant_train = pd.read_csv('data/Plant_1_Generation_Data.csv.train')
print(plant_train.describe(include='all'))

print('# normalizacja')


plant_normalized = plant_test.copy()
column = 'DC_POWER'

plant_normalized[column] = plant_normalized[column]  / plant_normalized[column].abs().max()

print(plant_normalized)