xarray_demask_from_mask
- PlasmaCalcs.tools.xarray_tools.xarray_masks.xarray_demask_from_mask(mask, array, stackdim='_mask_stack', *, store_mask=False, as_array=None, reindex=True, _upcast_bool=True)
unmask (i.e., unstack) a masked (and stacked) xarray object, using this mask.
Equivalent to xarray_unmask(array, mask=mask, …)mask: xarray.DataArraythe (unstacked) mask.array: xarray.DataArray or xarray.Datasetobject to unmask.stackdim: str, default ‘_mask_stack’dimension along which the mask stacking occurred.store_mask: None or boolwhether to store full mask as a data_var in result.None –> True if result would otherwise be a Dataset, else FalseTrue –> result will be a Dataset with full mask in data_var ‘_mask’.False –> do not store mask in result.as_array: None or boolwhether to ensure result is a DataArray.None –> True if result would be a Dataset with a single data_var, else False.True –> result will be a DataArray; crash if not possible(e.g. crash if output would have multiple vars, or if store_mask=True).False –> result will be a Dataset, unless input was a DataArray and store_mask=False.reindex: boolwhether to result.reindex_like(mask). Highly recommended, but not required…_upcast_bool: boolwhether to upcast dtype=bool array or data_vars to int8 before unstacking.when False, unstacking produces a dtype=object array due to the nans for missing values.(when True, unstacking makes dtype=float32, using 0 for False, 1 for True, nan for nan.)