bigframes.pandas.Series.max#

Series.max() → Any[source]#

Return the maximum of the values over the requested axis.

If you want the index of the maximum, use idxmax. This is the equivalent of the numpy.ndarray method argmax.

Examples:

Calculating the max of a Series:

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

>>> s.max()
np.int64(3)

Calculating the max of a Series containing NA values:

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

>>> s.max()
np.int64(3)

Returns:

Scalar.

Return type:

scalar