Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

In [5]:

import pandas as pd

In [3]:

s = pd.Series(
    data=[1, None, 4, 3, 4],
    index=['A', 'B', 'C', 'D', 'E']
)
s

Out[3]:

A    1.0
B    NaN
C    4.0
D    3.0
E    4.0
dtype: float64

pandas.DataFrame.idxmax ¶

Return index of first occurrence of maximum over requested axis. NA/null values are excluded.

In [4]:

s.idxmax()

Out[4]:

'C'

pandas.Series.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.

In [5]:

s.argmax()

Out[5]: