pandas.Index.argmin — pandas 2.2.3 documentation (original) (raw)

Index.argmin(axis=None, skipna=True, *args, **kwargs)[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:

axis{None}

Unused. Parameter needed for compatibility with DataFrame.

skipnabool, default True

Exclude NA/null values when showing the result.

*args, **kwargs

Additional arguments and keywords for compatibility with NumPy.

Returns:

int

Row position of the minimum value.

Examples

Consider dataset containing cereal calories

s = pd.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.argmax() 2 s.argmin() 0

The maximum cereal calories is the third element and the minimum cereal calories is the first element, since series is zero-indexed.