DataFrame.mean(axis=0, skipna=True, numeric_only=False, **kwargs)[source]#

Return the mean of the values for the requested axis.

axis{0 or ‘index’, 1 or ‘columns’}

Axis for the function to be applied on.

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.


Additional keyword arguments to be passed to the function.

meanSeries or DataFrame (if level specified)


>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, 3, 4], 'b': [7, 8, 9, 10]})
>>> df.mean()
a    2.5
b    8.5
dtype: float64