pyspark.pandas.Series.argmin#

Series.argmin(axis=None, skipna=True)[source]#

Return int position of the smallest value in the Series.

If the minimum 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 minimum value.

Examples

Consider dataset containing cereal calories

>>> s = ps.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
...                'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
>>> s
Corn Flakes              100.0
Almond Delight           110.0
Cinnamon Toast Crunch    120.0
Cocoa Puff               110.0
dtype: float64

>>> s.argmin()
0