import pandas as pd
from statsmodels.tsa.seasonal import seasonal_decompose
import matplotlib.pyplot as plt

data = pd.read_csv('/datasets/energy_consumption.csv', index_col=[0], parse_dates=[0])
data.sort_index(inplace=True)
data = data['2018-01':'2018-06'].resample('1D').sum()
decomposed = seasonal_decompose(data)
seasonal_decompose(data['2018-01-01':'2018-01-15']).seasonal.plot()