xoa.meta

Meta-data and conventions management

Functions

are_similar(da0, da1)	Check if two DataArrays are similar
assign_meta_specs(ds[, name, register, ...])	Set the meta_specs encoding to name in all data vars and coords
get_cache()	Get the meta cache dict
get_default_meta_specs(**kwargs)	Get the default Meta specifications
get_matching_item_specs(da[, loc])	Get the item Meta specs that match this data array
get_meta_config_file(name)	Get the path of a meta config file given its short name
get_meta_specs([name, cache])	Get the current or a registered Meta specifications instance
get_meta_specs_encoding(ds)	Get the meta_specs encoding value
get_meta_specs_from_encoding(ds)	Get a registered Meta specs instance from the meta_specs encoding value
get_meta_specs_from_name(name[, errors])	Get a registered Meta specs instance from its name
get_meta_specs_matching_score(ds, meta_specs)	Get the matching score between ds data_vars and coord names and a MetaSpecs instance names
get_registered_meta_specs([current, ...])	Get the list of registered MetaSpecs
get_variant(ds, variants[, errors])	Try to find a unique generic data array in a dataset
infer_coords(ds)	Infer which of the data arrays of a dataset are coordinates
infer_meta_specs(ds[, named, from_attrs, ...])	Get the registered MetaSpecs that are best matching this dataset
is_registered_meta_specs(name)	Check if given meta specs set is registered
register_meta_specs(*args, **kwargs)	Register MetaSpecs in a bank optionally with a name
reset_cache([memory])	Reset the in memory meta specs cache
search_similar(obj, da)	Search in ds for a similar DataArray
show_cache()	Show the meta specs cache file

Classes

set_meta_specs(meta_source)

Set the current Meta specs