pandas.Series.idxmax

Series.idxmax(axis=0, skipna=True, *args, **kwargs)

Return the row label of the maximum value.

If multiple values equal the maximum, the first row label with that value is returned.

Parameters:

axis{0 or ‘index’}

Unused. Parameter needed for compatibility with DataFrame.

skipnabool, default True

Exclude NA/null values. If the entire Series is NA, or if skipna=False and there is an NA value, this method will raise a ValueError.

*args, **kwargs

Additional arguments and keywords have no effect but might be accepted for compatibility with NumPy.

Returns:

Index

Label of the maximum value.

Raises:

ValueError

If the Series is empty.

See also

numpy.argmax

Return indices of the maximum values along the given axis.

DataFrame.idxmax

Return index of first occurrence of maximum over requested axis.

Series.idxmin

Return index label of the first occurrence of minimum of values.

Notes

This method is the Series version of ndarray.argmax. This method returns the label of the maximum, while ndarray.argmax returns the position. To get the position, use series.values.argmax().

Examples

>>> s = pd.Series(data=[1, None, 4, 3, 4], index=["A", "B", "C", "D", "E"])
>>> s
A    1.0
B    NaN
C    4.0
D    3.0
E    4.0
dtype: float64

>>> s.idxmax()
'C'