bigframes.pandas.Series.min#

Return the maximum of the values over the requested axis.

If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin.

Examples:

Calculating the min of a Series:

>>> s = bpd.Series([1, 3])
>>> s
0    1
1    3
dtype: Int64

>>> s.min()
np.int64(1)

Calculating the min of a Series containing NA values:

>>> s = bpd.Series([1, 3, pd.NA])
>>> s
0       1
1       3
2    <NA>
dtype: Int64

>>> s.min()
np.int64(1)