Created
August 28, 2022 18:09
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pandas group by date
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| # load data index on date | |
| # time series data like credit card transactions for example | |
| df = pd.read_csv('~/Downloads/time_series_data.csv', index_col='Date', parse_dates=True) | |
| # group by apply data and sum | |
| df2 = df.groupby(pd.Grouper(freq='Y')).sum() | |
| #df2 now contains sumarized data | |
| # show perenctiles for example | |
| df2.quantile([0.1, 0.5, 0.8, 0.9, 0.95]) |
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