bigframes.pandas.Series.idxmax#

Series.idxmax() Hashable[source]#

Return the row label of the maximum value.

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

Examples:

>>> s = bpd.Series(data=[1, None, 4, 3, 4],
...                index=['A', 'B', 'C', 'D', 'E'])
>>> s
A     1.0
B    <NA>
C     4.0
D     3.0
E     4.0
dtype: Float64
>>> s.idxmax()
'C'
Returns:

Label of the maximum value.

Return type:

Index