bigframes.pandas.Series.median#

Series.median(*, exact: bool = True) float[source]#

Return the median of the values over the requested axis.

Examples:

>>> import bigframes.pandas as bpd
>>> s = bpd.Series([1, 2, 3])
>>> s.median()
np.float64(2.0)

With a DataFrame

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

[2 rows x 2 columns]
>>> df.median()
a    1.5
b    2.5
dtype: Float64
Parameters:

exact (bool. default True) – Default True. Get the exact median instead of an approximate one.

Returns:

Scalar.

Return type:

scalar