Accessors API

DataArray

`DataArray.xoa.xdim`	X dimension
`DataArray.xoa.ydim`	Y dimension name
`DataArray.xoa.zdim`	Z dimension name
`DataArray.xoa.tdim`	T (time) dimension name
`DataArray.xoa.name`	Get the generic name that matches this array
`DataArray.xoa.attrs`	Get the generic attributes that matches this array
`DataArray.xoa.coords`	Sub-accessor for coords only
`DataArray.xoa.data_vars`	Sub-accessor for data_vars only
`DataArray.xoa.cf`	The `CFDataArrayAccessor` subaccessor

`DataArray.xoa.set_cf_specs`(cfspecs)	Set the internal `CFSpecs` used by this accessor
`DataArray.xoa.get_cf_specs`()	Get the internal `CFSpecs` instance used by this accessor
`DataArray.xoa.decode`(**kwargs)	Rename variables and coordinates to generic names
`DataArray.xoa.encode`(**kwargs)	Rename variables and coordinates to specialized names
`DataArray.xoa.auto_format`(**kwargs)	Rename variables and coordinates and fill their attributes
`DataArray.xoa.fill_attrs`(**kwargs)	Fill missing attributes
`DataArray.xoa.infer_coords`(**kwargs)	Infer coordinates and set them as coordinates
`DataArray.xoa.get`(cf_name[, loc, single, errors])	Search for a data array or coordinate knowing its generic CF name
`DataArray.xoa.get_coord`(cf_name[, loc, ...])	Search for a coordinate knowing its generic CF name
`DataArray.xoa.get_depth`([errors])	Get the depth as computed or recognized by the `CFSpecs()`

`Dataset.xoa.coords`	Sub-accessor for coords only
`Dataset.xoa.data_vars`	Sub-accessor for data_vars only
`Dataset.xoa.cf`	The `CFDatasetAccessor` subaccessor
`Dataset.xoa.decode_sigma`	The `SigmaAccessor` subaccessor for sigma coordinates

`Dataset.xoa.set_cf_specs`(cfspecs)	Set the internal `CFSpecs` used by this accessor
`Dataset.xoa.get_cf_specs`()	Get the internal `CFSpecs` instance used by this accessor
`Dataset.xoa.decode`(**kwargs)	Rename variables and coordinates to generic names
`Dataset.xoa.encode`(**kwargs)	Rename variables and coordinates to specialized names
`Dataset.xoa.auto_format`(**kwargs)	Rename variables and coordinates and fill their attributes
`Dataset.xoa.fill_attrs`(**kwargs)	Fill missing attributes
`Dataset.xoa.infer_coords`(**kwargs)	Infer coordinates and set them as coordinates
`Dataset.xoa.get`(cf_name[, loc, single, errors])	Search for a data array or coordinate knowing its generic CF name
`Dataset.xoa.get_coord`(cf_name[, loc, ...])	Search for a coordinate knowing its generic CF name
`Dataset.xoa.get_depth`([errors])	Get the depth as computed or recognized by the `CFSpecs()`
`Dataset.decode_sigma.decode`([rename, errors])	Compute depth from sigma coordinates
`Dataset.decode_sigma.get_sigma_terms`([loc, ...])	Call `get_sigma_terms()` on the dataset

Dataset.decode_sigma()

Shortcut to decode()