API

Top-level API

bounds_to_vertices(bounds, bounds_dim[, ...])	Convert bounds variable to vertices. There are 2 covered cases:
vertices_to_bounds(vertices[, out_dims])	Convert vertices to CF-compliant bounds. There are 2 covered cases:
shapely_to_cf(geometries[, grid_mapping])	Convert a DataArray with shapely geometry objects into a CF-compliant dataset.
cf_to_shapely(ds)	Convert geometries stored in a CF-compliant way to shapely objects stored in a single variable.
set_options(**kwargs)	Set options for cf-xarray in a controlled context.
encode_multi_index_as_compress(ds[, idxnames])	Encode a MultiIndexed dimension using the "compression by gathering" CF convention.
decode_compress_to_multi_index(encoded[, ...])	Decode a compressed variable to a pandas MultiIndex.

DataArray

Attributes

DataArray.cf.axes	Property that returns a dictionary mapping valid Axis standard names for .cf[] to variable names.
DataArray.cf.cell_measures	Property that returns a dictionary mapping valid cell measure standard names for .cf[] to variable names.
DataArray.cf.cf_roles	Returns a dictionary mapping cf_role names to variable names.
DataArray.cf.coordinates	Property that returns a dictionary mapping valid Coordinate standard names for .cf[] to variable names.
DataArray.cf.formula_terms	Property that returns a dictionary mapping the parametric coordinate's name to a dictionary that maps "standard term names" to actual variable names.
DataArray.cf.grid_mapping_name	Get CF grid mapping name associated with this variable.
DataArray.cf.is_flag_variable	Returns True if the DataArray satisfies CF conventions for flag variables.
DataArray.cf.standard_names	Returns a dictionary mapping standard names to variable names.
DataArray.cf.plot

Methods

DataArray.cf.__getitem__(key)	Index into a DataArray making use of CF attributes.
DataArray.cf.__repr__()	Return repr(self).
DataArray.cf.add_canonical_attributes([...])	Add canonical CF attributes to variables with standard names.
DataArray.cf.differentiate(coord, *xr_args)	Differentiate an xarray object.
DataArray.cf.guess_coord_axis([verbose])	Automagically guesses X, Y, Z, T, latitude, longitude, and adds appropriate attributes.
DataArray.cf.keys()	Utility function that returns valid keys for .cf[].
DataArray.cf.rename_like(other[, skip])	Renames variables in object to match names of like-variables in other.

Flag Variables

cf_xarray supports rich comparisons for CF flag variables. Flag masks are not yet supported.

DataArray.cf.__lt__(other)	Compare flag values against other.
DataArray.cf.__le__(other)	Compare flag values against other.
DataArray.cf.__eq__(other)	Compare flag values against other.
DataArray.cf.__ne__(other)	Compare flag values against other.
DataArray.cf.__ge__(other)	Compare flag values against other.
DataArray.cf.__gt__(other)	Compare flag values against other.
DataArray.cf.isin(test_elements)	Test each value in the array for whether it is in test_elements.

Dataset

Attributes

Dataset.cf.axes	Property that returns a dictionary mapping valid Axis standard names for .cf[] to variable names.
Dataset.cf.bounds	Property that returns a dictionary mapping keys to the variable names of their bounds.
Dataset.cf.cell_measures	Property that returns a dictionary mapping valid cell measure standard names for .cf[] to variable names.
Dataset.cf.cf_roles	Returns a dictionary mapping cf_role names to variable names.
Dataset.cf.coordinates	Property that returns a dictionary mapping valid Coordinate standard names for .cf[] to variable names.
Dataset.cf.formula_terms	Property that returns a dictionary mapping the parametric coordinate's name to a dictionary that maps "standard term names" to actual variable names.
Dataset.cf.grid_mapping_names	Property that returns a dictionary mapping the CF grid mapping name to the variable name containing the grid mapping attributes.
Dataset.cf.standard_names	Returns a dictionary mapping standard names to variable names.

Methods

Dataset.cf.__getitem__(key)	Index into a Dataset making use of CF attributes.
Dataset.cf.__repr__()	Return repr(self).
Dataset.cf.add_bounds(keys, *[, dim, output_dim])	Returns a new object with bounds variables.
Dataset.cf.add_canonical_attributes([...])	Add canonical CF attributes to variables with standard names.
Dataset.cf.bounds_to_vertices([keys, order])	Convert bounds variable to vertices.
Dataset.cf.decode_vertical_coords(*[, ...])	Decode parameterized vertical coordinates in place.
Dataset.cf.differentiate(coord, *xr_args[, ...])	Differentiate an xarray object.
Dataset.cf.get_bounds(key)	Get bounds variable corresponding to key.
Dataset.cf.get_bounds_dim_name(key)	Get bounds dim name for variable corresponding to key.
Dataset.cf.guess_coord_axis([verbose])	Automagically guesses X, Y, Z, T, latitude, longitude, and adds appropriate attributes.
Dataset.cf.keys()	Utility function that returns valid keys for .cf[].
Dataset.cf.rename_like(other[, skip])	Renames variables in object to match names of like-variables in other.