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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).