Coarsen objects

Dataset

DatasetCoarsen(obj, windows, boundary, side, ...)
DatasetCoarsen.all([keep_attrs])	Reduce this DatasetCoarsen's data by applying all along some dimension(s).
DatasetCoarsen.any([keep_attrs])	Reduce this DatasetCoarsen's data by applying any along some dimension(s).
DatasetCoarsen.construct([window_dim, ...])	Convert this Coarsen object to a DataArray or Dataset, where the coarsening dimension is split or reshaped to two new dimensions.
DatasetCoarsen.count([keep_attrs])	Reduce this DatasetCoarsen's data by applying count along some dimension(s).
DatasetCoarsen.max([keep_attrs])	Reduce this DatasetCoarsen's data by applying max along some dimension(s).
DatasetCoarsen.mean([keep_attrs])	Reduce this DatasetCoarsen's data by applying mean along some dimension(s).
DatasetCoarsen.median([keep_attrs])	Reduce this DatasetCoarsen's data by applying median along some dimension(s).
DatasetCoarsen.min([keep_attrs])	Reduce this DatasetCoarsen's data by applying min along some dimension(s).
DatasetCoarsen.prod([keep_attrs])	Reduce this DatasetCoarsen's data by applying prod along some dimension(s).
DatasetCoarsen.reduce(func[, keep_attrs])	Reduce the items in this group by applying func along some dimension(s).
DatasetCoarsen.std([keep_attrs])	Reduce this DatasetCoarsen's data by applying std along some dimension(s).
DatasetCoarsen.sum([keep_attrs])	Reduce this DatasetCoarsen's data by applying sum along some dimension(s).
DatasetCoarsen.var([keep_attrs])	Reduce this DatasetCoarsen's data by applying var along some dimension(s).

DataArray

DataArrayCoarsen(obj, windows, boundary, ...)
DataArrayCoarsen.all([keep_attrs])	Reduce this DataArrayCoarsen's data by applying all along some dimension(s).
DataArrayCoarsen.any([keep_attrs])	Reduce this DataArrayCoarsen's data by applying any along some dimension(s).
DataArrayCoarsen.construct([window_dim, ...])	Convert this Coarsen object to a DataArray or Dataset, where the coarsening dimension is split or reshaped to two new dimensions.
DataArrayCoarsen.count([keep_attrs])	Reduce this DataArrayCoarsen's data by applying count along some dimension(s).
DataArrayCoarsen.max([keep_attrs])	Reduce this DataArrayCoarsen's data by applying max along some dimension(s).
DataArrayCoarsen.mean([keep_attrs])	Reduce this DataArrayCoarsen's data by applying mean along some dimension(s).
DataArrayCoarsen.median([keep_attrs])	Reduce this DataArrayCoarsen's data by applying median along some dimension(s).
DataArrayCoarsen.min([keep_attrs])	Reduce this DataArrayCoarsen's data by applying min along some dimension(s).
DataArrayCoarsen.prod([keep_attrs])	Reduce this DataArrayCoarsen's data by applying prod along some dimension(s).
DataArrayCoarsen.reduce(func[, keep_attrs])	Reduce the items in this group by applying func along some dimension(s).
DataArrayCoarsen.std([keep_attrs])	Reduce this DataArrayCoarsen's data by applying std along some dimension(s).
DataArrayCoarsen.sum([keep_attrs])	Reduce this DataArrayCoarsen's data by applying sum along some dimension(s).
DataArrayCoarsen.var([keep_attrs])	Reduce this DataArrayCoarsen's data by applying var along some dimension(s).