pyspark.pandas.DataFrame.max#
- DataFrame.max(axis=None, skipna=True, numeric_only=None)#
- Return the maximum of the values. - Parameters
- axis: {index (0), columns (1)}
- Axis for the function to be applied on. 
- skipna: bool, default True
- Exclude NA/null values when computing the result. - Changed in version 3.4.0: Supported including NA/null values. 
- numeric_only: bool, default None
- If True, include only float, int, boolean columns. This parameter is mainly for pandas compatibility. False is supported; however, the columns should be all numeric or all non-numeric. 
 
- Returns
- max: scalar for a Series, and a Series for a DataFrame.
 
 - Examples - >>> df = ps.DataFrame({'a': [1, 2, 3, np.nan], 'b': [0.1, 0.2, 0.3, np.nan]}, ... columns=['a', 'b']) - On a DataFrame: - >>> df.max() a 3.0 b 0.3 dtype: float64 - >>> df.max(axis=1) 0 1.0 1 2.0 2 3.0 3 NaN dtype: float64 - On a Series: - >>> df['a'].max() 3.0