cudf.Series.median#

Series.median(axis=None, skipna=True, level=None, numeric_only=None, **kwargs)[source]#

Return the median of the values for the requested axis.

Parameters:
axis{index (0), columns (1)}

Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.

skipnabool, default True

Exclude NA/null values when computing the result.

numeric_onlybool, default False

If True, includes only float, int, boolean columns. If False, will raise error in-case there are non-numeric columns.

Returns:
scalar

Examples

>>> import cudf
>>> ser = cudf.Series([10, 25, 3, 25, 24, 6])
>>> ser
0    10
1    25
2     3
3    25
4    24
5     6
dtype: int64
>>> ser.median()
17.0

Pandas Compatibility Note

DataFrame.median, Series.median

Parameters currently not supported are level and numeric_only.