pyspark.pandas.Series.argmax#
- Series.argmax(axis=None, skipna=True)[source]#
- Return int position of the largest value in the Series. - If the maximum is achieved in multiple locations, the first row position is returned. - Parameters
- axisNone
- Dummy argument for consistency with Series. 
- skipnabool, default True
- Exclude NA/null values. 
 
- Returns
- int
- Row position of the maximum value. 
 
 - Examples - Consider dataset containing cereal calories - >>> s = ps.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0, 'Unknown': np.nan, ... 'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0}) >>> s Corn Flakes 100.0 Almond Delight 110.0 Unknown NaN Cinnamon Toast Crunch 120.0 Cocoa Puff 110.0 dtype: float64 - >>> s.argmax() 3