def test_FieldAncillary_properties(self): d = self.f.domain_ancillary("ncvar%a") x = cf.FieldAncillary(source=d) x.set_property("long_name", "qwerty") self.assertEqual(x.get_property("long_name"), "qwerty") self.assertEqual(x.del_property("long_name"), "qwerty") self.assertIsNone(x.get_property("long_name", None)) self.assertIsNone(x.del_property("long_name", None))
def test_FieldAncillary_transpose(self): a = self.f.auxiliary_coordinate("longitude") x = cf.FieldAncillary(source=a) self.assertEqual(x.shape, (9, 10)) y = x.transpose() self.assertEqual(y.shape, (10, 9)) x.transpose([1, 0], inplace=True) self.assertEqual(x.shape, (10, 9))
def test_FieldAncillary_insert_dimension(self): d = self.f.dimension_coordinate("grid_longitude") x = cf.FieldAncillary(source=d) self.assertEqual(x.shape, (9, )) y = x.insert_dimension(0) self.assertEqual(y.shape, (1, 9)) x.insert_dimension(-1, inplace=True) self.assertEqual(x.shape, (9, 1))
def test_FieldAncillary_transpose(self): f = cf.read(self.filename)[0] a = f.auxiliary_coordinates("longitude").value() x = cf.FieldAncillary(source=a) self.assertEqual(x.shape, (9, 10)) y = x.transpose() self.assertEqual(y.shape, (10, 9)) x.transpose([1, 0], inplace=True) self.assertEqual(x.shape, (10, 9))
def test_FieldAncillary_insert_dimension(self): f = cf.read(self.filename)[0] d = f.dimension_coordinates("grid_longitude").value() x = cf.FieldAncillary(source=d) self.assertEqual(x.shape, (9, )) y = x.insert_dimension(0) self.assertEqual(y.shape, (1, 9)) x.insert_dimension(-1, inplace=True) self.assertEqual(x.shape, (9, 1))
def test_FieldAncillary_squeeze(self): a = self.f.auxiliary_coordinate("longitude") x = cf.FieldAncillary(source=a) x.insert_dimension(1, inplace=True) x.insert_dimension(0, inplace=True) self.assertEqual(x.shape, (1, 9, 1, 10)) y = x.squeeze() self.assertEqual(y.shape, (9, 10)) x.squeeze(2, inplace=True) self.assertEqual(x.shape, (1, 9, 10))
def test_FieldAncillary_source(self): f = cf.read(self.filename)[0] a = f.auxiliary_coordinates("latitude").value() cf.FieldAncillary(source=a)
def test_FieldAncillary(self): f = cf.FieldAncillary() _ = repr(f) _ = str(f) _ = f.dump(display=False)
def test_create_field(self): # Dimension coordinates dim1 = cf.DimensionCoordinate( data=cf.Data(numpy.arange(10.0), "degrees")) dim1.standard_name = "grid_latitude" dim0 = cf.DimensionCoordinate( data=cf.Data(numpy.arange(9.0) + 20, "degrees")) dim0.standard_name = "grid_longitude" dim0.data[-1] += 5 bounds = cf.Data( numpy.array([dim0.data.array - 0.5, dim0.data.array + 0.5]).transpose((1, 0))) bounds[-2, 1] = 30 bounds[-1, :] = [30, 36] dim0.set_bounds(cf.Bounds(data=bounds)) dim2 = cf.DimensionCoordinate( data=cf.Data([1.5]), bounds=cf.Bounds(data=cf.Data([[1, 2.0]]))) dim2.standard_name = "atmosphere_hybrid_height_coordinate" # Auxiliary coordinates ak = cf.DomainAncillary(data=cf.Data([10.0], "m")) ak.id = "atmosphere_hybrid_height_coordinate_ak" bounds = cf.Bounds(data=cf.Data([[5, 15.0]], units=ak.Units)) ak.set_bounds(bounds) bk = cf.DomainAncillary(data=cf.Data([20.0])) bk.id = "atmosphere_hybrid_height_coordinate_bk" bounds = cf.Bounds(data=cf.Data([[14, 26.0]])) bk.set_bounds(bounds) aux2 = cf.AuxiliaryCoordinate(data=cf.Data( numpy.arange(-45, 45, dtype="int32").reshape(10, 9), units="degree_N", )) aux2.standard_name = "latitude" aux3 = cf.AuxiliaryCoordinate(data=cf.Data( numpy.arange(60, 150, dtype="int32").reshape(9, 10), units="degreesE", )) aux3.standard_name = "longitude" aux4 = cf.AuxiliaryCoordinate(data=cf.Data( numpy.array( [ "alpha", "beta", "gamma", "delta", "epsilon", "zeta", "eta", "theta", "iota", "kappa", ], dtype="S", ))) aux4.standard_name = "greek_letters" aux4[0] = cf.masked # Cell measures msr0 = cf.CellMeasure( data=cf.Data(1 + numpy.arange(90.0).reshape(9, 10) * 1234, "km 2")) msr0.measure = "area" # Data data = cf.Data(numpy.arange(90.0).reshape(10, 9), "m s-1") properties = {"standard_name": "eastward_wind"} f = cf.Field(properties=properties) axisX = f.set_construct(cf.DomainAxis(9)) axisY = f.set_construct(cf.DomainAxis(10)) axisZ = f.set_construct(cf.DomainAxis(1)) f.set_data(data) x = f.set_construct(dim0) y = f.set_construct(dim1, axes=[axisY]) z = f.set_construct(dim2, axes=[axisZ]) lat = f.set_construct(aux2) lon = f.set_construct(aux3, axes=["X", axisY]) f.set_construct(aux4, axes=["Y"]) ak = f.set_construct(ak, axes=["Z"]) bk = f.set_construct(bk, axes=[axisZ]) # Coordinate references coordinate_conversion = cf.CoordinateConversion( parameters={ "grid_mapping_name": "rotated_latitude_longitude", "grid_north_pole_latitude": 38.0, "grid_north_pole_longitude": 190.0, }) ref0 = cf.CoordinateReference( coordinate_conversion=coordinate_conversion, coordinates=[x, y, lat, lon], ) f.set_construct(msr0, axes=[axisX, "Y"]) f.set_construct(ref0) orog = cf.DomainAncillary() orog.standard_name = "surface_altitude" orog.set_data(cf.Data(f.array * 2, "m")) orog.transpose([1, 0], inplace=True) orog_key = f.set_construct(orog, axes=["X", axisY]) coordinate_conversion = cf.CoordinateConversion( parameters={ "standard_name": "atmosphere_hybrid_height_coordinate" }, domain_ancillaries={ "orog": orog_key, "a": ak, "b": bk }, ) ref1 = cf.CoordinateReference( coordinate_conversion=coordinate_conversion, coordinates=[z]) f.set_construct(ref1) # Field ancillary variables g = cf.FieldAncillary() g.set_data(f.data) g.transpose([1, 0], inplace=True) g.standard_name = "ancillary0" g *= 0.01 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f.data) g.standard_name = "ancillary1" g *= 0.01 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f[0, :].data) g.squeeze(inplace=True) g.standard_name = "ancillary2" g *= 0.001 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f[:, 0].data) g.squeeze(inplace=True) g.standard_name = "ancillary3" g *= 0.001 f.set_construct(g) f.flag_values = [1, 2, 4] f.flag_meanings = ["a", "bb", "ccc"] for cm in cf.CellMethod.create( "grid_longitude: mean grid_latitude: max"): f.set_construct(cm) # Write the file, and read it in cf.write(f, self.filename, verbose=0, string=True) g = cf.read(self.filename, squeeze=True, verbose=0)[0] self.assertTrue(g.equals(f, verbose=0), "Field not equal to itself read back in") x = g.dump(display=False) x = f.dump(display=False)
print("\n**Stage 1:** The field construct is created without metadata\n") print("\n**Stage 2:** Metadata constructs are created independently.\n") print("\n**Stage 3:** The metadata constructs are inserted into the field\n") p = cf.Field(properties={'standard_name': 'precipitation_flux'}) p dc = cf.DimensionCoordinate(properties={'long_name': 'Longitude'}, data=cf.Data([0, 1, 2.])) dc fa = cf.FieldAncillary( properties={'standard_name': 'precipitation_flux status_flag'}, data=cf.Data(numpy.array([0, 0, 2], dtype='int8'))) fa p = cf.Field() p p.set_property('standard_name', 'precipitation_flux') p dc = cf.DimensionCoordinate() dc dc.set_property('long_name', 'Longitude') dc.set_data(cf.Data([1, 2, 3.])) dc fa = cf.FieldAncillary( data=cf.Data(numpy.array([0, 0, 2], dtype='int8'))) fa fa.set_property('standard_name', 'precipitation_flux status_flag')
def test_FieldAncillary_source(self): a = self.f.auxiliary_coordinate("latitude") cf.FieldAncillary(source=a)
def test_create_field(self): # Dimension coordinates dim1 = cf.DimensionCoordinate( data=cf.Data(numpy.arange(10.), 'degrees')) dim1.standard_name = 'grid_latitude' dim0 = cf.DimensionCoordinate( data=cf.Data(numpy.arange(9.) + 20, 'degrees')) dim0.standard_name = 'grid_longitude' dim0.data[-1] += 5 bounds = cf.Data(numpy.array( [dim0.data.array-0.5, dim0.data.array+0.5]).transpose((1, 0))) bounds[-2, 1] = 30 bounds[-1, :] = [30, 36] dim0.set_bounds(cf.Bounds(data=bounds)) dim2 = cf.DimensionCoordinate( data=cf.Data([1.5]), bounds=cf.Bounds(data=cf.Data([[1, 2.]])) ) dim2.standard_name = 'atmosphere_hybrid_height_coordinate' # Auxiliary coordinates ak = cf.DomainAncillary(data=cf.Data([10.], 'm')) ak.id = 'atmosphere_hybrid_height_coordinate_ak' bounds = cf.Bounds(data=cf.Data([[5, 15.]], units=ak.Units)) ak.set_bounds(bounds) bk = cf.DomainAncillary(data=cf.Data([20.])) bk.id = 'atmosphere_hybrid_height_coordinate_bk' bounds = cf.Bounds(data=cf.Data([[14, 26.]])) bk.set_bounds(bounds) aux2 = cf.AuxiliaryCoordinate( data=cf.Data(numpy.arange(-45, 45, dtype='int32').reshape(10, 9), units='degree_N')) aux2.standard_name = 'latitude' aux3 = cf.AuxiliaryCoordinate( data=cf.Data(numpy.arange(60, 150, dtype='int32').reshape(9, 10), units='degreesE')) aux3.standard_name = 'longitude' aux4 = cf.AuxiliaryCoordinate( data=cf.Data(numpy.array( ['alpha', 'beta', 'gamma', 'delta', 'epsilon', 'zeta', 'eta', 'theta', 'iota', 'kappa'], dtype='S' )) ) aux4.standard_name = 'greek_letters' aux4[0] = cf.masked # Cell measures msr0 = cf.CellMeasure( data=cf.Data(1+numpy.arange(90.).reshape(9, 10)*1234, 'km 2')) msr0.measure = 'area' # Data data = cf.Data(numpy.arange(90.).reshape(10, 9), 'm s-1') properties = {'standard_name': 'eastward_wind'} f = cf.Field(properties=properties) axisX = f.set_construct(cf.DomainAxis(9)) axisY = f.set_construct(cf.DomainAxis(10)) axisZ = f.set_construct(cf.DomainAxis(1)) f.set_data(data) x = f.set_construct(dim0) y = f.set_construct(dim1, axes=[axisY]) z = f.set_construct(dim2, axes=[axisZ]) lat = f.set_construct(aux2) lon = f.set_construct(aux3, axes=['X', axisY]) f.set_construct(aux4, axes=['Y']) ak = f.set_construct(ak, axes=['Z']) bk = f.set_construct(bk, axes=[axisZ]) # Coordinate references coordinate_conversion = cf.CoordinateConversion( parameters={'grid_mapping_name': 'rotated_latitude_longitude', 'grid_north_pole_latitude': 38.0, 'grid_north_pole_longitude': 190.0}) ref0 = cf.CoordinateReference( coordinate_conversion=coordinate_conversion, coordinates=[x, y, lat, lon] ) f.set_construct(msr0, axes=[axisX, 'Y']) f.set_construct(ref0) orog = cf.DomainAncillary() orog.standard_name = 'surface_altitude' orog.set_data(cf.Data(f.array*2, 'm')) orog.transpose([1, 0], inplace=True) orog_key = f.set_construct(orog, axes=['X', axisY]) coordinate_conversion = cf.CoordinateConversion( parameters={ 'standard_name': 'atmosphere_hybrid_height_coordinate' }, domain_ancillaries={ 'orog': orog_key, 'a': ak, 'b': bk } ) ref1 = cf.CoordinateReference( coordinate_conversion=coordinate_conversion, coordinates=[z]) f.set_construct(ref1) # Field ancillary variables g = cf.FieldAncillary() g.set_data(f.data) g.transpose([1, 0], inplace=True) g.standard_name = 'ancillary0' g *= 0.01 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f.data) g.standard_name = 'ancillary1' g *= 0.01 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f[0, :].data) g.squeeze(inplace=True) g.standard_name = 'ancillary2' g *= 0.001 f.set_construct(g) g = cf.FieldAncillary() g.set_data(f[:, 0].data) g.squeeze(inplace=True) g.standard_name = 'ancillary3' g *= 0.001 f.set_construct(g) f.flag_values = [1, 2, 4] f.flag_meanings = ['a', 'bb', 'ccc'] for cm in cf.CellMethod.create( 'grid_longitude: mean grid_latitude: max'): f.set_construct(cm) # Write the file, and read it in cf.write(f, self.filename, verbose=0, string=True) g = cf.read(self.filename, squeeze=True, verbose=0)[0] self.assertTrue(g.equals(f, verbose=0), "Field not equal to itself read back in") x = g.dump(display=False) x = f.dump(display=False)