cf.DimensionCoordinate.identities

DimensionCoordinate.identities(generator=False, ctypes=None, **kwargs)[source]

Return all possible identities.

The identities comprise:

  • The “standard_name” property.

  • The “id” attribute, preceded by 'id%'.

  • The “cf_role” property, preceded by 'cf_role='.

  • The “axis” property, preceded by 'axis='.

  • The “long_name” property, preceded by 'long_name='.

  • All other properties (including “standard_name”), preceded by the property name and an '='.

  • The coordinate type ('X', 'Y', 'Z' or 'T').

  • The netCDF variable name, preceded by 'ncvar%'.

New in version 3.0.0.

See also

id, identity

Parameters
generator: bool, optional

If True then return a generator for the identities, rather than a list. This can give improved performance if iteration through the generator can be stopped before all identities have been computed.

New in version (cfdm): 1.8.9.0

ctypes: (sequence of) str

If set then return the coordinate type (if any) as the first identity and restrict the possible coordinate types to be any of these characters. By default, a coordinate type is the last identity. Setting to a subset of 'XTYZ' can give performance improvements, as it will reduce the number of coordinate types that are checked in circumstances when particular coordinate types have been ruled out a priori. If a coordinate type is omitted then it will not be in the returned identities even if the coordinate construct is of that type. Coordinate types are checked in the order given.

Parameter example:

ctypes='Y'

Parameter example:

ctypes='XY'

Parameter example:

ctypes=('T', 'X')

Returns
list

The identities.

Examples

>>> f.properties()
{'foo': 'bar',
 'long_name': 'Air Temperature',
 'standard_name': 'air_temperature'}
>>> f.nc_get_variable()
'tas'
>>> f.identities()
['air_temperature',
 'long_name=Air Temperature',
 'foo=bar',
 'standard_name=air_temperature',
 'ncvar%tas']