xarray.core.weighted.DataArrayWeighted.mean¶
-
DataArrayWeighted.
mean
(self, dim: Union[Hashable, Iterable[Hashable], NoneType] = None, skipna: Union[bool, NoneType] = None, keep_attrs: Union[bool, NoneType] = None) → Union[ForwardRef('DataArray'), ForwardRef('Dataset')]¶ Reduce this Dataset’s data by a weighted
mean
along some dimension(s).- Parameters
dim (str or sequence of str, optional) – Dimension(s) over which to apply the weighted
mean
.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.
- Returns
reduced – New Dataset object with weighted
mean
applied to its data and the indicated dimension(s) removed.- Return type
Notes
Returns NaN if the
weights
sum to 0.0 along the reduced dimension(s).