>>> import pandas as pd
>>> df = pd.read_csv('consum_elect.csv', dtype = {'Codi_Postal': str})

>>> from electra import electra1

--ini-electra1
>>> df1 = electra1(df)
>>> type (df1)
<class 'pandas.core.frame.DataFrame'>
>>> len(df1)
12
>>> df1[:5]
            Data Codi_Postal Sector_Economic Tram_Horari   Valor
6310  2022-01-24       08018         Serveis       12-18  158433
4990  2022-01-19       08018         Serveis       12-18  156838
4726  2022-01-18       08018         Serveis       12-18  156133
6574  2022-01-25       08018         Serveis       12-18  155623
4462  2022-01-17       08018         Serveis       12-18  154038

--fi-electra1
>>> se1 = df1.iloc[0]
>>> se1['Data'], se1['Codi_Postal'], se1['Sector_Economic'], se1['Tram_Horari'], se1['Valor']
('2022-01-24', '08018', 'Serveis', '12-18', 158433)
>>> se2 = df1.iloc[len(df1)-1]
>>> se2['Data'], se2['Codi_Postal'], se2['Sector_Economic'], se2['Tram_Horari'], se2['Valor']
('2022-01-31', '08018', 'Serveis', '12-18', 151215)
>>> list(df1['Valor'][-5:])
[153763, 153312, 153260, 151815, 151215]
>>> df1['Valor'][7102]
153312
>>> df1['Valor'][3406]
151815
>>> df1['Valor'][6838]
153260
>>> df1['Data'][5254]
'2022-01-20'
>>> df1['Data'][2614]
'2022-01-10'
>>> df1['Data'][4462]
'2022-01-17'