modin.pandas.SeriesGroupBy.quantile¶
- SeriesGroupBy.quantile(q=0.5, interpolation='linear', numeric_only=False)[source]¶
Return group values at the given quantile, like
numpy.percentile.- Parameters:
q (float 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.
Snowpark pandas currently only supports “linear” and “nearest”.
numeric_only (bool, default False) – Include only float, int or boolean data.
- Returns:
Return type determined by caller of GroupBy object.
- Return type: