pandas.core.groupby.DataFrameGroupBy.quantile¶
- DataFrameGroupBy.quantile(q=0.5, interpolation='linear')[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.
- Returns
- Series or DataFrame
Return type determined by caller of GroupBy object.
See also
Series.quantile
Similar method for Series.
DataFrame.quantile
Similar method for DataFrame.
numpy.percentile
NumPy 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