bigframes.pandas.Series.idxmin

Series.idxmin() → Hashable

Return the row label of the minimum value.

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

Examples:

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

>>> s.idxmin()
'A'

Returns:

Label of the minimum value.

Return type:

Index