xarray.Dataset.stack#
- Dataset.stack(dim=None, create_index=True, index_cls=<class 'xarray.core.indexes.PandasMultiIndex'>, **dim_kwargs)[source]#
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.
- Parameters
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
orNone
, 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.
- Returns
stacked (
Dataset
) – Dataset with stacked data.
See also