staircase.StairsSlicer.agg#
- StairsSlicer.agg(funcs) pandas.core.frame.DataFrame#
Facilitates multiple aggregations applied at once
- Parameters
- funcsstr, or list of str
The aggregation functions to apply. Currently supports “min”, “max”, “mean”, “median”, “mode”, “integral”.
- Returns
pandas.Dataframe
Examples
>>> df = sc.make_test_data(seed=0) >>> sf = sc.Stairs(df, "start", "end", "value") >>> sf.plot()
>>> cuts = pd.date_range("2021", periods=12, freq="MS") >>> sf.slice(cuts).agg(["min", "max"]) min max [2021-01-01, 2021-02-01) 354.0 492.0 [2021-02-01, 2021-03-01) 338.0 418.0 [2021-03-01, 2021-04-01) 401.0 587.0 [2021-04-01, 2021-05-01) 437.0 564.0 [2021-05-01, 2021-06-01) 356.0 463.0 [2021-06-01, 2021-07-01) 344.0 480.0 [2021-07-01, 2021-08-01) 436.0 543.0 [2021-08-01, 2021-09-01) 426.0 502.0 [2021-09-01, 2021-10-01) 399.0 486.0 [2021-10-01, 2021-11-01) 434.0 505.0 [2021-11-01, 2021-12-01) 434.0 509.0