- DataArrayWeighted.sum_of_squares(dim=None, skipna=None, keep_attrs=None)[source]#
Reduce this Dataset’s data by a weighted
sum_of_squaresalong some dimension(s).
Hashable, optional) – Dimension(s) over which to apply the weighted
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).
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.
Dataset) – New Dataset object with weighted
sum_of_squaresapplied to its data and the indicated dimension(s) removed.
Returns 0 if the
weightssum to 0.0 along the reduced dimension(s).