Closed
Description
In #6214 it was reported that argmax
changed (I think since Series didn't subclass ndarray
anymore). It's sometimes useful to get the index position of the max, so it'd be nice if .argmax
did that, leaving idxmax
to always be label-based.
In [1]: import pandas as pd
pd.Ser
In [2]: s = pd.Series([1, 2, 3, 0], index=['a', 'b', 'c', 'd'])
In [3]: s.idxmax()
Out[3]: 'c'
In [4]: s.argmax()
Out[4]: 'c'
I would expect Out[4]
to be 2
. The current workaround is np.argmax(x)
, which is OK, but doesn't generalize to DataFrames well.
We could deprecate .argmax
in 0.21, pointing users to .idxmax
. Then later we can change .argmax
to be always be positional.
Update: We've deprecated .argmax/min
. Need to change the behavior next.