def to_cf(self, wkt_version="WKT2_2018", errcheck=False):
"""
.. versionadded:: 2.2.0
This converts a :obj:`~pyproj.crs.CRS` object
to a Climate and Forecast (CF) Grid Mapping Version 1.8 dict.
.. warning:: The full projection will be stored in the
crs_wkt attribute. However, other parameters may be lost
if a mapping to the CF parameter is not found.
Parameters
----------
wkt_version: str
Version of WKT supported by ~CRS.to_wkt.
errcheck: bool, optional
If True, will warn when parameters are ignored. Defaults to False.
Returns
-------
dict: CF-1.8 version of the projection.
"""
cf_dict = {"crs_wkt": self.to_wkt(wkt_version)}
missing_names = ("unknown", "unnamed")
if self.is_geographic and self.name not in missing_names:
cf_dict["geographic_crs_name"] = self.name
elif self.is_projected and self.name not in missing_names:
cf_dict["projected_crs_name"] = self.name
# ignore warning here as WKT string provided with projection
with warnings.catch_warnings():
warnings.filterwarnings(
"ignore",
"You will likely lose important projection information",
UserWarning,
)
proj_dict = self.to_dict()
if not proj_dict:
return cf_dict
proj_name = proj_dict.pop("proj")
lonlat_possible_names = ("lonlat", "latlon", "longlat", "latlong")
if proj_name in lonlat_possible_names:
grid_mapping_name = "latitude_longitude"
else:
grid_mapping_name = INVERSE_GRID_MAPPING_NAME_MAP.get(
proj_name, "unknown")
if grid_mapping_name == "rotated_latitude_longitude":
if proj_dict.pop("o_proj") not in lonlat_possible_names:
grid_mapping_name = "unknown"
# derive parameters from the coordinate operation
if (grid_mapping_name == "unknown" and self.coordinate_operation
and self.coordinate_operation.method_name
in METHOD_NAME_TO_CF_MAP):
grid_mapping_name = METHOD_NAME_TO_CF_MAP[
self.coordinate_operation.method_name]
for param in self.coordinate_operation.params:
cf_dict[PARAM_TO_CF_MAP[param.name]] = param.value
cf_dict["grid_mapping_name"] = grid_mapping_name
# get best match for lon_0 value for projetion name
lon_0 = proj_dict.pop("lon_0", None)
if lon_0 is not None:
try:
cf_dict[LON_0_MAP[grid_mapping_name]] = lon_0
except KeyError:
cf_dict[LON_0_MAP["DEFAULT"]] = lon_0
# get best match for k_0 value for projetion name
k_0 = proj_dict.pop("k_0", None)
if k_0 is not None:
try:
cf_dict[K_0_MAP[grid_mapping_name]] = k_0
except KeyError:
cf_dict[K_0_MAP["DEFAULT"]] = k_0
# format the lat_1 and lat_2 for the standard parallel
if "lat_1" in proj_dict and "lat_2" in proj_dict:
cf_dict["standard_parallel"] = [
proj_dict.pop("lat_1"),
proj_dict.pop("lat_2"),
]
elif "lat_1" in proj_dict:
cf_dict["standard_parallel"] = proj_dict.pop("lat_1")
elif "lat_ts" in proj_dict:
cf_dict["standard_parallel"] = proj_dict.pop("lat_ts")
skipped_params = []
for proj_param, proj_val in proj_dict.items():
try:
cf_dict[INVERSE_PROJ_PARAM_MAP[proj_param]] = proj_val
except KeyError:
skipped_params.append(proj_param)
if errcheck and skipped_params:
warnings.warn("PROJ parameters not mapped to CF: {}".format(
tuple(skipped_params)))
return cf_dict
def to_cf(self, wkt_version="WKT2_2018", errcheck=False):
"""
This converts a :obj:`~pyproj.crs.CRS` object
to a Climate and Forecast (CF) Grid Mapping Version 1.8 dict.
.. warning:: The full projection will be stored in the
crs_wkt attribute. However, other parameters may be lost
if a mapping to the CF parameter is not found.
Parameters
----------
wkt_version: str
Version of WKT supported by ~CRS.to_wkt.
errcheck: bool, optional
If True, will warn when parameters are ignored. Defaults to False.
Returns
-------
dict: CF-1.8 version of the projection.
"""
cf_dict = {"crs_wkt": self.to_wkt(wkt_version)}
if self.is_geographic and self.name != "unknown":
cf_dict["geographic_crs_name"] = self.name
elif self.is_projected and self.name != "unknown":
cf_dict["projected_crs_name"] = self.name
proj_dict = self.to_dict()
proj_name = proj_dict.pop("proj")
lonlat_possible_names = ("lonlat", "latlon", "longlat", "latlong")
if proj_name in lonlat_possible_names:
grid_mapping_name = "latitude_longitude"
else:
grid_mapping_name = INVERSE_GRID_MAPPING_NAME_MAP.get(
proj_name, "unknown")
if grid_mapping_name == "rotated_latitude_longitude":
if proj_dict.pop("o_proj") not in lonlat_possible_names:
grid_mapping_name = "unknown"
cf_dict["grid_mapping_name"] = grid_mapping_name
# get best match for lon_0 value for projetion name
lon_0 = proj_dict.pop("lon_0", None)
if lon_0 is not None:
try:
cf_dict[LON_0_MAP[grid_mapping_name]] = lon_0
except KeyError:
cf_dict[LON_0_MAP["DEFAULT"]] = lon_0
# get best match for k_0 value for projetion name
k_0 = proj_dict.pop("k_0", None)
if k_0 is not None:
try:
cf_dict[K_0_MAP[grid_mapping_name]] = k_0
except KeyError:
cf_dict[K_0_MAP["DEFAULT"]] = k_0
# format the lat_1 and lat_2 for the standard parallel
if "lat_1" in proj_dict and "lat_2" in proj_dict:
cf_dict["standard_parallel"] = [
proj_dict.pop("lat_1"),
proj_dict.pop("lat_2"),
]
elif "lat_1" in proj_dict:
cf_dict["standard_parallel"] = proj_dict.pop("lat_1")
skipped_params = []
for proj_param, proj_val in proj_dict.items():
try:
cf_dict[INVERSE_PROJ_PARAM_MAP[proj_param]] = proj_val
except KeyError:
skipped_params.append(proj_param)
if errcheck and skipped_params:
warnings.warn("PROJ parameters not mapped to CF: {}".format(
tuple(skipped_params)))
return cf_dict
def to_cf(self, wkt_version="WKT2_2018", errcheck=False):
"""
This converts a :obj:`~pyproj.crs.CRS` object
to a CF-1.8 dict.
.. warning:: The full projection will be stored in the
crs_wkt attribute. However, other parameters may be lost
if a mapping to the CF parameter is not found.
Parameters
----------
wkt_version: str
Version of WKT supported by ~CRS.to_wkt.
errcheck: bool, optional
If True, will warn when parameters are ignored. Defaults to False.
Returns
-------
dict: CF-1.8 version of the projection.
"""
cf_dict = {"crs_wkt": self.to_wkt(wkt_version)}
if self.is_geographic and self.name != "unknown":
cf_dict["geographic_crs_name"] = self.name
elif self.is_projected and self.name != "unknown":
cf_dict["projected_crs_name"] = self.name
proj_dict = self.to_proj4_dict()
proj_name = proj_dict.pop("proj")
if proj_name in ("lonlat", "latlon", "longlat", "latlong"):
grid_mapping_name = "latitude_longitude"
else:
grid_mapping_name = INVERSE_GRID_MAPPING_NAME_MAP.get(proj_name, "unknown")
cf_dict["grid_mapping_name"] = grid_mapping_name
# get best match for lon_0 value for projetion name
lon_0 = proj_dict.pop("lon_0", None)
if lon_0 is not None:
try:
cf_dict[LON_0_MAP[grid_mapping_name]] = lon_0
except KeyError:
cf_dict[LON_0_MAP["DEFAULT"]] = lon_0
# get best match for k_0 value for projetion name
k_0 = proj_dict.pop("k_0", None)
if k_0 is not None:
try:
cf_dict[K_0_MAP[grid_mapping_name]] = k_0
except KeyError:
cf_dict[K_0_MAP["DEFAULT"]] = k_0
# format the lat_1 and lat_2 for the standard parallel
if "lat_1" in proj_dict and "lat_2" in proj_dict:
cf_dict["standard_parallel"] = [
proj_dict.pop("lat_1"),
proj_dict.pop("lat_2"),
]
elif "lat_1" in proj_dict:
cf_dict["standard_parallel"] = proj_dict.pop("lat_1")
skipped_params = []
for proj_param, proj_val in proj_dict.items():
try:
cf_dict[INVERSE_PROJ_PARAM_MAP[proj_param]] = proj_val
except KeyError:
skipped_params.append(proj_param)
if errcheck and skipped_params:
warnings.warn(
"PROJ parameters not mapped to CF: {}".format(tuple(skipped_params))
)
return cf_dict