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Classe « Index »

Méthode pandas.Index.argmax

Signature de la méthode argmax

def argmax(self, axis=None, skipna: 'bool' = True, *args, **kwargs) -> 'int' 

Description

help(Index.argmax)

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
----------
axis : {None}
    Unused. Parameter needed for compatibility with DataFrame.
skipna : bool, 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 maximum value.

See Also
--------
Series.argmax : Return position of the maximum value.
Series.argmin : Return position of the minimum value.
numpy.ndarray.argmax : Equivalent method for numpy arrays.
Series.idxmax : Return index label of the maximum values.
Series.idxmin : Return index label of the minimum values.

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.

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