pandas.core.groupby.DataFrameGroupBy.quantile¶
- DataFrameGroupBy.quantile(q=0.5, interpolation='linear', numeric_only=_NoDefault.no_default)[source]¶
Return group values at the given quantile, a la numpy.percentile.
- Parameters:
- qfloat or array-like, default 0.5 (50% quantile)
Value(s) between 0 and 1 providing the quantile(s) to compute.
- interpolation{‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}
Method to use when the desired quantile falls between two points.
- numeric_onlybool, default True
Include only float, int or boolean data.
New in version 1.5.0.
- Returns:
- Series or DataFrame
Return type determined by caller of GroupBy object.
See also
Series.quantileSimilar method for Series.
DataFrame.quantileSimilar method for DataFrame.
numpy.percentileNumPy method to compute qth percentile.
Examples
>>> df = pd.DataFrame([ ... ['a', 1], ['a', 2], ['a', 3], ... ['b', 1], ['b', 3], ['b', 5] ... ], columns=['key', 'val']) >>> df.groupby('key').quantile() val key a 2.0 b 3.0