pandas.core.resample.Resampler.quantile#
- final Resampler.quantile(q=0.5, **kwargs)[source]#
Return value at the given quantile.
- Parameters:
- qfloat or array-like, default 0.5 (50% quantile)
- Returns:
- DataFrame or Series
Quantile of values within each group.
See also
Series.quantile
Return a series, where the index is q and the values are the quantiles.
DataFrame.quantile
Return a DataFrame, where the columns are the columns of self, and the values are the quantiles.
DataFrameGroupBy.quantile
Return a DataFrame, where the columns are groupby columns, and the values are its quantiles.
Examples
>>> ser = pd.Series([1, 3, 2, 4, 3, 8], ... index=pd.DatetimeIndex(['2023-01-01', ... '2023-01-10', ... '2023-01-15', ... '2023-02-01', ... '2023-02-10', ... '2023-02-15'])) >>> ser.resample('MS').quantile() 2023-01-01 2.0 2023-02-01 4.0 Freq: MS, dtype: float64
>>> ser.resample('MS').quantile(.25) 2023-01-01 1.5 2023-02-01 3.5 Freq: MS, dtype: float64