Login Register

Series.argmax()

Series.argmax(axis=None, skipna=True, *args, **kwargs) [source]

Index of first occurrence of maximum of values.

Parameters:

skipna : boolean, default True

Exclude NA/null values

Returns:

idxmax : Index of maximum of values

See also

DataFrame.idxmax, numpy.ndarray.argmax

Notes

This method is the Series version of ndarray.argmax.

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.argmax.html

doc_Pandas

2017-01-12 04:53:15

Comments

Leave a Comment

Please login to continue.

Popular Articles

generic.argmax() generic.argmax() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemente

recarray.argmax() recarray.argmax(axis=None, out=None) Return indices of the maximum values along the given axis. Refer to numpy.argmax for full documentation. Se

CategoricalIndex.argmax() CategoricalIndex.argmax(axis=None) [source] return a ndarray of the maximum argument indexer See also numpy.ndarray.argmax

DatetimeIndex.argmax() DatetimeIndex.argmax(axis=None, *args, **kwargs) [source] Returns the indices of the maximum values along an axis. See numpy.ndarray.argmax for m

matrix.argmax() matrix.argmax(axis=None, out=None) [source] Indexes of the maximum values along an axis. Return the indexes of the first occurrences of the maxim