cudf.DataFrame.skew#
- DataFrame.skew(axis=0, skipna=True, numeric_only=False, **kwargs)[source]#
Return unbiased Fisher-Pearson skew of a sample.
- Parameters:
- skipna: bool, default True
Exclude NA/null values when computing the result.
- numeric_onlybool, default False
If True, includes only float, int, boolean columns. If False, will raise error in-case there are non-numeric columns.
- Returns:
- Series
Examples
Series
>>> import cudf >>> series = cudf.Series([1, 2, 3, 4, 5, 6, 6]) >>> series 0 1 1 2 2 3 3 4 4 5 5 6 6 6 dtype: int64
DataFrame
>>> import cudf >>> df = cudf.DataFrame({'a': [3, 2, 3, 4], 'b': [7, 8, 10, 10]}) >>> df.skew() a 0.00000 b -0.37037 dtype: float64
Pandas Compatibility Note
pandas.DataFrame.skew()
,pandas.Series.skew()
The axis parameter is not currently supported.