pandas.core.resample.Resampler.quantile — pandas 2.2.3 documentation (original) (raw)

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