bigframes.pandas.Series.skew

Series.skew()

Return unbiased skew over requested axis.

Normalized by N-1.

Examples:

>>> s = bpd.Series([1, 2, 3])
>>> s.skew()
np.float64(0.0)

With a DataFrame

>>> df = bpd.DataFrame({'a': [1, 2, 3], 'b': [2, 3, 4], 'c': [1, 3, 5]},
...                    index=['tiger', 'zebra', 'cow'])
>>> df
        a   b   c
tiger   1   2   1
zebra   2   3   3
cow     3   4   5

[3 rows x 3 columns]

>>> df.skew()
a   0.0
b   0.0
c   0.0
dtype: Float64

Returns:

Scalar.

Return type:

scalar