Weighted objects

Dataset

DatasetWeighted(obj, weights)
DatasetWeighted.mean([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted mean along some dimension(s).
DatasetWeighted.quantile(q, *[, dim, ...])	Apply a weighted quantile to this Dataset's data along some dimension(s).
DatasetWeighted.sum([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted sum along some dimension(s).
DatasetWeighted.std([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted std along some dimension(s).
DatasetWeighted.var([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted var along some dimension(s).
DatasetWeighted.sum_of_weights([dim, keep_attrs])	Calculate the sum of weights, accounting for missing values in the data.
DatasetWeighted.sum_of_squares([dim, ...])	Reduce this Dataset's data by a weighted sum_of_squares along some dimension(s).

DataArray

DataArrayWeighted(obj, weights)
DataArrayWeighted.mean([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted mean along some dimension(s).
DataArrayWeighted.quantile(q, *[, dim, ...])	Apply a weighted quantile to this Dataset's data along some dimension(s).
DataArrayWeighted.sum([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted sum along some dimension(s).
DataArrayWeighted.std([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted std along some dimension(s).
DataArrayWeighted.var([dim, skipna, keep_attrs])	Reduce this Dataset's data by a weighted var along some dimension(s).
DataArrayWeighted.sum_of_weights([dim, ...])	Calculate the sum of weights, accounting for missing values in the data.
DataArrayWeighted.sum_of_squares([dim, ...])	Reduce this Dataset's data by a weighted sum_of_squares along some dimension(s).