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- from glob import glob
- filenames = glob('*.csv')
- dataframes = [pd.read_csv(f, parse_dates=['Fecha_Hora'], index_col='Fecha_Hora') for f in filenames]
- for i in range(len(dataframes)):
- locals()['d1_'+str(i)] = {'media_diaria_dataframes_var1_'+str(i):dataframes[i].set_index(dataframes[i].index).groupby(pd.Grouper(freq='D'))['var1'].mean(),'media_diaria_dataframes_var2_'+str(i):dataframes[i].set_index(dataframes[i].index).groupby(pd.Grouper(freq='D'))['var2'].mean()}
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