InferenceData

Constructor

InferenceData([attrs])

Container for inference data storage using xarray.

Attributes

InferenceData objects store xarray.Dataset as attributes. The InferenceData schema specification contains the guidance related to these attributes.

InferenceData.get_index(key)

IO / Conversion

InferenceData.to_dataframe([groups, ...])	Convert InferenceData to a pandas.DataFrame following xarray naming conventions.
InferenceData.to_json(filename[, groups, ...])	Write InferenceData to a json file.
InferenceData.from_netcdf(filename[, ...])	Initialize object from a netcdf file.
InferenceData.to_netcdf(filename[, ...])	Write InferenceData to file using netcdf4.
InferenceData.from_zarr(store)	Initialize object from a zarr store or path.
InferenceData.to_zarr([store])	Convert InferenceData to a zarr.hierarchy.Group.
InferenceData.chunk([chunks, name_prefix, ...])
InferenceData.compute(**kwargs)
InferenceData.load(**kwargs)
InferenceData.persist(**kwargs)
InferenceData.unify_chunks()

Dictionary interface

InferenceData.groups()	Return all groups present in InferenceData object.
InferenceData.items()	Return a view over the groups and datasets present in the InferenceData object.
InferenceData.values()	Return a view over the Xarray Datasets present in the InferenceData object.

InferenceData contents

InferenceData.add_groups([group_dict, ...])	Add new groups to InferenceData object.
InferenceData.extend(other[, join])	Extend InferenceData with groups from another InferenceData.
InferenceData.assign([variables])
InferenceData.assign_coords([coords])
InferenceData.rename([name_dict, groups, ...])	Perform xarray renaming of variable and dimensions on all groups.
InferenceData.rename_dims([name_dict, ...])	Perform xarray renaming of dimensions on all groups.
InferenceData.set_coords(names)
InferenceData.set_index([indexes, append])

Indexing

InferenceData.isel([groups, filter_groups, ...])	Perform an xarray selection on all groups.
InferenceData.sel([groups, filter_groups, ...])	Perform an xarray selection on all groups.
InferenceData.reset_index(dims_or_levels[, drop])

Computation

InferenceData.map(fun[, groups, ...])	Apply a function to multiple groups.
InferenceData.cumsum([dim, skipna, keep_attrs])
InferenceData.max([dim, skipna, keep_attrs])
InferenceData.mean([dim, skipna, keep_attrs])
InferenceData.median([dim, skipna, keep_attrs])
InferenceData.min([dim, skipna, keep_attrs])
InferenceData.quantile(q[, dim, method, ...])
InferenceData.sum([dim, skipna, min_count, ...])

Reshaping and reorganizing

InferenceData.stack([dimensions, groups, ...])	Perform an xarray stacking on all groups.
InferenceData.unstack([dim, groups, ...])	Perform an xarray unstacking on all groups.