Stack any number of existing dimensions into a single new dimension.
New dimensions will be added at the end, and by default the corresponding coordinate variables will be combined into a MultiIndex.
dim (mapping of hashable to sequence of hashable) – Mapping of the form new_name=(dim1, dim2, …). Names of new dimensions, and the existing dimensions that they replace. An ellipsis (…) will be replaced by all unlisted dimensions. Passing a list containing an ellipsis (stacked_dim=[…]) will stack over all dimensions.
create_index (bool or None, default: True) –
True: create a multi-index for each of the stacked dimensions.
False: don’t create any index.
None. create a multi-index only if exactly one single (1-d) coordinate index is found for every dimension to stack.
index_cls (Index-class, default: PandasMultiIndex) – Can be used to pass a custom multi-index type (must be an Xarray index that implements .stack()). By default, a pandas multi-index wrapper is used.
**dim_kwargs – The keyword arguments form of dim. One of dim or dim_kwargs must be provided.
stacked (Dataset) – Dataset with stacked data.
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