pyspark.pandas.DataFrame.mad¶
-
DataFrame.mad(axis: Union[int, str] = 0) → Series[source]¶ Return the mean absolute deviation of values.
- Parameters
- axis{index (0), columns (1)}
Axis for the function to be applied on.
Examples
>>> df = ps.DataFrame({'a': [1, 2, 3, np.nan], 'b': [0.1, 0.2, 0.3, np.nan]}, ... columns=['a', 'b'])
>>> df.mad() a 0.666667 b 0.066667 dtype: float64
>>> df.mad(axis=1) 0 0.45 1 0.90 2 1.35 3 NaN dtype: float64