dask.dataframe.tseries.resample.Resampler.prod#
- Resampler.prod()[source]#
Compute prod of group values.
This docstring was copied from pandas.api.typing.Resampler.prod.
Some inconsistencies with the Dask version may exist.
- Parameters:
- numeric_onlybool, default False (Not supported in Dask)
Include only float, int, boolean columns.
Changed in version 2.0.0: numeric_only no longer accepts
None.- min_countint, default 0 (Not supported in Dask)
The required number of valid values to perform the operation. If fewer than
min_countnon-NA values are present the result will be NA.
- Returns:
- Series or DataFrame
Computed prod of values within each group.
See also
core.resample.Resampler.sumCompute sum of groups, excluding missing values.
core.resample.Resampler.meanCompute mean of groups, excluding missing values.
core.resample.Resampler.medianCompute median of groups, excluding missing values.
Examples
>>> ser = pd.Series( ... [1, 2, 3, 4], ... index=pd.DatetimeIndex( ... ["2023-01-01", "2023-01-15", "2023-02-01", "2023-02-15"] ... ), ... ) >>> ser 2023-01-01 1 2023-01-15 2 2023-02-01 3 2023-02-15 4 dtype: int64 >>> ser.resample("MS").prod() 2023-01-01 2 2023-02-01 12 Freq: MS, dtype: int64