xarray.computation.weighted.DataArrayWeighted.mean#

DataArrayWeighted.mean(dim=None, *, skipna=None, keep_attrs=None)[source]#

Reduce this Dataset’s data by a weighted mean along some dimension(s).

Parameters:

  • dim (Hashable or Iterable of Hashable, optional) – Dimension(s) over which to apply the weighted mean.

  • skipna (bool or None, 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 or None, 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 (Dataset) – New Dataset object with weighted mean applied to its data and the indicated dimension(s) removed.

Notes

Returns NaN if the weights sum to 0.0 along the reduced dimension(s).