cudf.DataFrame.mean

DataFrame.mean(axis=_NoDefault.no_default, skipna=True, level=None, numeric_only=None, **kwargs)

Return the mean of the values for the requested axis.

Parameters:

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.

levelint or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series.

numeric_onlybool, default None

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

**kwargs

Additional keyword arguments to be passed to the function.

Returns:

meanSeries or DataFrame (if level specified)

Examples

>>> 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