DataArray.mean(dim=None, axis=None, skipna=None, keep_attrs=False, **kwargs)

Reduce this DataArray’s data by applying mean along some dimension(s).


dim : str or sequence of str, optional

Dimension(s) over which to apply {name}.

axis : int or sequence of int, optional

Axis(es) over which to apply {name}. Only one of the ‘dim’ and ‘axis’ arguments can be supplied. If neither are supplied, then {name} is calculated over axes.

skipna : bool, optional

If True, skip missing values (as marked by NaN). By default, only skips missing values for float dtypes; other dtypes either do not have a sentinel missing value (int) or skipna=True has not been implemented (object, datetime64 or timedelta64).

keep_attrs : bool, optional

If True, the attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.

**kwargs : dict

Additional keyword arguments passed on to mean.


reduced : DataArray

New DataArray object with mean applied to its data and the indicated dimension(s) removed.