def test_shared(self):
# Check that saving cubes with matching ancillaries maps to a shared
# file variable.
testcube_1 = stock.realistic_3d()
ancil = iris.coords.AncillaryVariable(np.zeros(testcube_1[0].shape),
long_name="latlon_refs",
units="s")
testcube_1.add_ancillary_variable(ancil, (1, 2))
testcube_2 = testcube_1.copy()
testcube_2.units = "m"
testcube_2.rename("alternate_data")
with self.temp_filename(suffix=".nc") as filename:
iris.save([testcube_1, testcube_2], filename)
self.assertCDL(filename)
# Also check that only one, shared ancillary variable was written.
ds = nc.Dataset(filename)
self.assertIn("air_potential_temperature", ds.variables)
self.assertIn("alternate_data", ds.variables)
self.assertEqual(
ds.variables["air_potential_temperature"].ancillary_variables,
"latlon_refs",
)
self.assertEqual(
ds.variables["alternate_data"].ancillary_variables,
"latlon_refs",
)
def setUp(self):
cube = realistic_3d()
axes = tests.mock.sentinel.axes
self.draw = tests.mock.sentinel.draw
self.patcher = self.patch('cube_browser.Plot2D.draw',
return_value=self.draw)
self.plot = Plot2D(cube, axes)
def setUp(self):
self.cube = realistic_3d()
self.axes = mock.sentinel.axes
self.patch('IPython.display.display')
self.patch('ipywidgets.SelectionSlider')
self.patch('ipywidgets.VBox')
self.patch('cube_browser.Browser.on_change')
def setUp(self):
super(TestCubeLoader, self).setUp()
abs_path = os.path.dirname(os.path.abspath(__file__))
self.tmp_dir_time = abs_path + '/' + 'tmp_dir_time/'
self.tmp_dir = abs_path + '/' + 'tmp_dir/'
if not os.path.exists(self.tmp_dir_time):
os.mkdir(self.tmp_dir_time)
if not os.path.exists(self.tmp_dir):
os.mkdir(self.tmp_dir)
base_cube = stock.realistic_3d()
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
self.temp_1 = 'temp_1.nc'
self.temp_2 = 'temp_2.nc'
self.temp_3 = 'temp_3.nc'
iris.save(cube_1, self.tmp_dir + self.temp_1)
iris.save(cube_2, self.tmp_dir + self.temp_2)
iris.save(cube_3, self.tmp_dir + self.temp_3)
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
new_time = cf_units.Unit('hours since 1980-01-01 00:00:00',
'gregorian')
cube_2.dim_coords[0].convert_units(new_time)
new_time = cf_units.Unit('hours since 1990-01-01 00:00:00',
'gregorian')
cube_3.dim_coords[0].convert_units(new_time)
self.temp_1_time = 'temp_1_time.nc'
self.temp_2_time = 'temp_2_time.nc'
self.temp_3_time = 'temp_3_time.nc'
iris.save(cube_1, self.tmp_dir_time + self.temp_1_time)
iris.save(cube_2, self.tmp_dir_time + self.temp_2_time)
iris.save(cube_3, self.tmp_dir_time + self.temp_3_time)
def setUp(self):
self.cube = realistic_3d()
self.axes = mock.sentinel.axes
self.patch('IPython.display.display')
self.patch('ipywidgets.SelectionSlider')
self.patch('ipywidgets.VBox')
self.patch('cube_browser.Browser.on_change')
def test(self):
cube = realistic_3d()
axes = tests.mock.sentinel.axes
plot = Plot2D(cube, axes)
emsg = 'requires a draw method for rendering'
with self.assertRaisesRegexp(NotImplementedError, emsg):
plot(time=0)
def setUp(self):
cube = realistic_3d()
axes = tests.mock.sentinel.axes
self.draw = tests.mock.sentinel.draw
self.patcher = self.patch('cube_browser.Plot2D.draw',
return_value=self.draw)
self.plot = Plot2D(cube, axes)
def test(self):
cube = realistic_3d()
axes = tests.mock.sentinel.axes
plot = Plot2D(cube, axes)
emsg = 'requires a draw method for rendering'
with self.assertRaisesRegexp(NotImplementedError, emsg):
plot(time=0)
def setUp(self):
self.cube = realistic_3d()
self.axes = mock.sentinel.axes
self.patch('IPython.display.display')
self.value = mock.sentinel.value
mockers = [mock.Mock(value=self.value) for i in range(20)]
self.patch('ipywidgets.SelectionSlider', side_effect=mockers)
self.patch('ipywidgets.VBox')
def setUp(self):
self.cube = realistic_3d()
self.axes = mock.sentinel.axes
self.patch('IPython.display.display')
self.value = mock.sentinel.value
mockers = [mock.Mock(value=self.value) for i in range(20)]
self.patch('ipywidgets.SelectionSlider', side_effect=mockers)
self.patch('ipywidgets.VBox')
self.patch('matplotlib.pyplot.colorbar')
def test_is_fix_needed_fails_latitude(self):
cube = realistic_3d()
cube.attributes['mip_era'] = 'CMIP6'
cube.attributes['institution_id'] = 'FIO-QLNM'
cube.attributes['source_id'] = 'FIO-ESM-2-0'
for coord_name in ['latitude', 'longitude']:
coord = cube.coord('grid_' + coord_name)
coord.standard_name = coord_name
fix = ch.fix_known.FixCmip6FioqlnmFioesm20Latitude(cube)
self.assertFalse(fix.is_fix_needed())
def setUp(self):
self.cube = realistic_3d()
self.axes = mock.sentinel.axes
self.patch('IPython.display.display')
self.value = mock.sentinel.value
mockers = [mock.Mock(value=self.value) for i in range(20)]
self.patch('ipywidgets.SelectionSlider', side_effect=mockers)
self.patch('ipywidgets.VBox')
self.patch('ipywidgets.HBox')
self.patch('ipywidgets.Label')
self.patch('matplotlib.pyplot.colorbar')
self.patch('cube_browser.Plot2D.legend')
def test_partialdims(self):
# Test saving ancillary data which maps only dims 0 and 2.
testcube = stock.realistic_3d()
ancil = iris.coords.AncillaryVariable(
np.zeros(testcube[:, 0, :].shape),
long_name="time_lon_values",
units="m",
)
testcube.add_ancillary_variable(ancil, (0, 2))
with self.temp_filename(suffix=".nc") as filename:
iris.save(testcube, filename)
self.assertCDL(filename)
def test_separate_cache(self):
c1 = Contour(self.cube, self.axes)
other_cube = realistic_3d()
c2 = Contour(other_cube, self.axes)
browser = Browser([c1, c2])
lookup = browser._cache_by_cube_id
cube_id = id(self.cube)
other_id = id(other_cube)
expected = set([cube_id, other_id])
self.assertEqual(set(lookup.keys()), expected)
self.assertNotEqual(id(c1.cache), id(c2.cache))
self.assertEqual(id(lookup[cube_id]), id(c1.cache))
self.assertEqual(id(lookup[other_id]), id(c2.cache))
def test_separate_cache(self):
c1 = Contour(self.cube, self.axes)
other_cube = realistic_3d()
c2 = Contour(other_cube, self.axes)
browser = Browser([c1, c2])
lookup = browser._cache_by_cube_id
cube_id = id(self.cube)
other_id = id(other_cube)
expected = set([cube_id, other_id])
self.assertEqual(set(lookup.keys()), expected)
self.assertNotEqual(id(c1.cache), id(c2.cache))
self.assertEqual(id(lookup[cube_id]), id(c1.cache))
self.assertEqual(id(lookup[other_id]), id(c2.cache))
def setUp(self):
self.cube = realistic_3d()
self.cube.attributes['institution_id'] = 'ABCD'
self.expected = {
'var_name': None,
'units': 'K',
'long_name': None,
'standard_name': 'air_potential_temperature',
'time_units': 'hours since 1970-01-01 00:00:00',
'calendar': 'gregorian',
'activity_id': 'HighResMIP',
'institute': 'ABCD'
}
def _get_single_time_cube(set_time_mean=False):
cube = stock.realistic_3d()[0:1, :, :]
cube.remove_coord('time')
cube.remove_coord('forecast_period')
tc = DimCoord(
points=[15, ],
standard_name='time',
units=cf_units.Unit('days since epoch', calendar='360_day'),
bounds=[[0, 30], ],
)
cube.add_dim_coord(tc, 0)
if set_time_mean:
cube.cell_methods = (CellMethod("mean", coords='time'), )
return cube
def _get_single_time_cube(set_time_mean=False):
cube = stock.realistic_3d()[0:1, :, :]
cube.remove_coord("time")
cube.remove_coord("forecast_period")
tc = DimCoord(
points=[15],
standard_name="time",
units=cf_units.Unit("days since epoch", calendar="360_day"),
bounds=[[0, 30]],
)
cube.add_dim_coord(tc, 0)
if set_time_mean:
cube.cell_methods = (CellMethod("mean", coords="time"), )
return cube
def _get_single_time_cube(set_time_mean=False):
cube = stock.realistic_3d()[0:1, :, :]
cube.remove_coord('time')
cube.remove_coord('forecast_period')
tc = DimCoord(
points=[15, ],
standard_name='time',
units=cf_units.Unit('days since epoch', calendar='360_day'),
bounds=[[0, 30], ],
)
cube.add_dim_coord(tc, 0)
if set_time_mean:
cube.cell_methods = (CellMethod("mean", coords='time'), )
return cube
def setUp(self):
self.cube = realistic_3d()
self.metadata_1 = {
'basename': 'file.nc',
'start_date': PartialDateTime(year=2014, month=12),
'end_date': PartialDateTime(year=2014, month=12),
'frequency': 'mon'
}
self.metadata_2 = {
'basename': 'file.nc',
'start_date': PartialDateTime(year=2014, month=11),
'end_date': PartialDateTime(year=2014, month=12),
'frequency': 'mon'
}
self.metadata_3 = {
'basename': 'file.nc',
'start_date': PartialDateTime(year=2013, month=12),
'end_date': PartialDateTime(year=2014, month=12),
'frequency': 'mon'
}
self.metadata_4 = {
'basename': 'file.nc',
'start_date': PartialDateTime(year=2014, month=12),
'end_date': PartialDateTime(year=2015, month=9),
'frequency': 'mon'
}
self.metadata_5 = {
'basename': 'file-clim.nc',
'start_date': PartialDateTime(year=2014, month=12, day=20),
'end_date': PartialDateTime(year=2014, month=12, day=22),
'frequency': 'mon'
}
self.metadata_6 = {
'basename': 'file-clim.nc',
'start_date': PartialDateTime(year=2014, month=12, day=21),
'end_date': PartialDateTime(year=2014, month=12, day=22),
'frequency': 'mon'
}
self.metadata_high_freq = {
'basename':
'file.nc',
'start_date':
PartialDateTime(year=2014, month=12, day=21, hour=0, minute=0),
'end_date':
PartialDateTime(year=2014, month=12, day=22, hour=12, minute=0),
'frequency':
'6hr'
}
def test_fulldims(self):
testcube = stock.realistic_3d()
ancil = iris.coords.AncillaryVariable(
np.zeros(testcube.shape),
long_name="ancil_data",
units=1,
attributes={
"attr_1": 7,
"attr_2": "chat"
},
)
testcube.add_ancillary_variable(ancil, (0, 1, 2))
with self.temp_filename(suffix=".nc") as filename:
iris.save(testcube, filename)
self.assertCDL(filename)
def test_aliases(self):
# Check that saving cubes with *differing* ancillaries of the same name
# is correctly resolved.
testcube_1 = stock.realistic_3d()
testcube_2 = testcube_1.copy()
testcube_2.units = "m"
testcube_2.rename("alternate_data")
ancil1 = iris.coords.AncillaryVariable(np.zeros(testcube_1[0].shape),
long_name="latlon_refs",
units="s")
testcube_1.add_ancillary_variable(ancil1, (1, 2))
ancil2 = ancil1.copy()
ancil2.data[0, 0] += 1.0
testcube_2.add_ancillary_variable(ancil2, (1, 2))
with self.temp_filename(suffix=".nc") as filename:
iris.save([testcube_1, testcube_2], filename)
self.assertCDL(filename)
def test_multiple(self):
# Test saving with multiple ancillary variables.
testcube = stock.realistic_3d()
ancil1_time_lat_lon = iris.coords.AncillaryVariable(
np.zeros(testcube.shape), long_name="data_values", units=1)
testcube.add_ancillary_variable(ancil1_time_lat_lon, (0, 1, 2))
ancil2_time = iris.coords.AncillaryVariable(
np.zeros(testcube[:, 0, 0].shape),
long_name="time_values",
units="s",
)
testcube.add_ancillary_variable(ancil2_time, 0)
ancil3_lon = iris.coords.AncillaryVariable(
np.zeros(testcube[0, 0, :].shape),
long_name="lon_values",
units="m",
)
testcube.add_ancillary_variable(ancil3_lon, 2)
with self.temp_filename(suffix=".nc") as filename:
iris.save(testcube, filename)
self.assertCDL(filename)
def _make_fioesm20_cube():
"""
Use an Iris test cube and modify the metadata and bounds to make it look
like a CMIP6.CMIP.FIO-QLNM.FIO-ESM-2-0.historical cube, which has a
non-monotonic latitude coordinate that is an auxillary coordinate rather
than a dimension coordinate.
Returns:
An `Iris.cube.Cube` object that looks like a cube loaded from file
for the CMIP6.CMIP.FIO-QLNM.FIO-ESM-2-0.historical experiment.
"""
cube = realistic_3d()
cube.attributes['mip_era'] = 'CMIP6'
cube.attributes['institution_id'] = 'FIO-QLNM'
cube.attributes['source_id'] = 'FIO-ESM-2-0'
for coord_name in ['latitude', 'longitude']:
coord = cube.coord('grid_' + coord_name)
coord.standard_name = coord_name
iris.util.demote_dim_coord_to_aux_coord(cube, 'latitude')
# Cannot set invalid bounds because the setter checks them and so
# construct new coordinate instead and replace the existing latitude
latitude = cube.coord('latitude')
point_spacing = latitude.points[1] - latitude.points[0]
bounds = (np.array([latitude.points,
latitude.points + point_spacing]).transpose())
bounds[-1, 1] = latitude.points[-1]
new_latitude = iris.coords.AuxCoord(latitude.points,
standard_name=latitude.standard_name,
long_name=latitude.long_name,
var_name=latitude.var_name,
units=latitude.units,
bounds=bounds,
attributes=latitude.attributes,
coord_system=latitude.coord_system)
cube.replace_coord(new_latitude)
return cube
def _make_fgoals_cube():
"""
Use an Iris test cube and modify the metadata and bounds to make it look
like a CMIP6.CAS.FGOALS-f3-L cube. The FGOALS-f3-L bounds are not
contiguous.
Returns:
An `Iris.cube.Cube` object that looks like a cube loaded from file
for the CMIP6.CAS.FGOALS-f3-L model.
"""
cube = realistic_3d()
cube.attributes['mip_era'] = 'CMIP6'
cube.attributes['institution_id'] = 'CAS'
cube.attributes['source_id'] = 'FGOALS-f3-L'
for coord_name in ['latitude', 'longitude']:
coord = cube.coord('grid_' + coord_name)
coord.standard_name = coord_name
point_spacing = coord.points[1] - coord.points[0]
coord.bounds = (np.array([
coord.points - (0.4 * point_spacing),
coord.points + (0.4 * point_spacing)
]).transpose())
return cube
def setUp(self):
super(TestCubeHelp, self).setUp()
abs_path = os.path.dirname(os.path.abspath(__file__))
self.tmp_dir_time = abs_path + '/' + 'tmp_dir_time/'
if not os.path.exists(self.tmp_dir_time):
os.mkdir(self.tmp_dir_time)
self.tmp_dir_ocean = abs_path + '/' + 'tmp_dir_ocean/'
if not os.path.exists(self.tmp_dir_ocean):
os.mkdir(self.tmp_dir_ocean)
base_cube = stock.realistic_3d()
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
new_time = cf_units.Unit('hours since 1980-01-01 00:00:00',
'gregorian')
cube_2.dim_coords[0].convert_units(new_time)
new_time = cf_units.Unit('hours since 1990-01-01 00:00:00',
'gregorian')
cube_3.dim_coords[0].convert_units(new_time)
self.temp_1_time = 'temp_1_time.nc'
self.temp_2_time = 'temp_2_time.nc'
self.temp_3_time = 'temp_3_time.nc'
iris.save(cube_1, self.tmp_dir_time + self.temp_1_time)
iris.save(cube_2, self.tmp_dir_time + self.temp_2_time)
iris.save(cube_3, self.tmp_dir_time + self.temp_3_time)
base_ocean_cube = common._generate_ocean_cube()
base_ocean_cube = base_ocean_cube.concatenate_cube()
cube_1 = base_ocean_cube[0:10]
cube_2 = base_ocean_cube[10:15]
cube_3 = base_ocean_cube[15:]
self.temp_1_ocean = 'temp_1_ocean.nc'
self.temp_2_ocean = 'temp_2_ocean.nc'
self.temp_3_ocean = 'temp_3_ocean.nc'
iris.save(cube_1, self.tmp_dir_ocean + self.temp_1_ocean)
iris.save(cube_2, self.tmp_dir_ocean + self.temp_2_ocean)
iris.save(cube_3, self.tmp_dir_ocean + self.temp_3_ocean)
def test_fix_partial_datetime(self):
test_cube = stock.realistic_3d()
test_cube.coord('time').guess_bounds()
test_constr_point = iris.Constraint(
time=lambda cell: cell.point.day == 22)
test_constr_pdt = iris.Constraint(time=iris.time.PartialDateTime(
day=22))
test_constr_full_pdt = iris.Constraint(
time=iris.time.PartialDateTime(2014, 12, 22))
test_constr_full_point = iris.Constraint(
time=lambda cell: cell.point.year == 2014 and cell.point.month ==
12 and cell.point.day == 22)
fixed_constr_point = _fix_partial_datetime(test_constr_point)
fixed_constr_pdt = _fix_partial_datetime(test_constr_pdt)
fixed_constr_full_pdt = _fix_partial_datetime(test_constr_full_pdt)
fixed_constr_full_point = _fix_partial_datetime(test_constr_full_point)
self.assertNotIsInstance(fixed_constr_pdt._coord_values['time'],
iris.time.PartialDateTime)
self.assertNotIsInstance(fixed_constr_full_pdt._coord_values['time'],
iris.time.PartialDateTime)
self.assertNotIsInstance(fixed_constr_point._coord_values['time'],
iris.time.PartialDateTime)
cube_constr_point = test_cube.extract(fixed_constr_point).coord('time')
cube_constr_pdt = test_cube.extract(fixed_constr_pdt).coord('time')
cube_constr_full_pdt = test_cube.extract(fixed_constr_full_pdt).coord(
'time')
cube_constr_full_point = test_cube.extract(
fixed_constr_full_point).coord('time')
self.assertEqual(cube_constr_point.points[0],
cube_constr_pdt.points[0])
self.assertEqual(cube_constr_point.points[1],
cube_constr_pdt.points[1])
self.assertEqual(cube_constr_full_point.points[0],
cube_constr_full_pdt.points[0])
self.assertEqual(cube_constr_full_point.points[1],
cube_constr_full_pdt.points[1])
def setUp(self):
self.cube = realistic_3d()
self.coords = ('grid_longitude', 'grid_latitude')
self.projection = iplt.default_projection(self.cube)
def setUp(self):
self.cube = stock.realistic_3d()
self.pp_field = mock.MagicMock(spec=pp.PPField3)
self.pp_field.HEADER_DEFN = pp.PPField3.HEADER_DEFN
self.patch('iris.fileformats.pp.PPField3',
return_value=self.pp_field)
def test_bounds_mismatch(self):
cube = stock.realistic_3d()
cube.coord('grid_longitude').guess_bounds()
with self.assertRaisesRegexp(ValueError, 'bounds'):
result_non_circ = _xy_range(cube)
def setUp(self):
self.cube = realistic_3d()
self.axes = tests.mock.sentinel.axes
def test_non_circular(self):
cube = stock.realistic_3d()
assert not cube.coord("grid_longitude").circular
result_non_circ = _xy_range(cube)
self.assertEqual(result_non_circ, ((-5.0, 5.0), (-4.0, 4.0)))
def test_normal_cube_is_unchanged(self):
cube = realistic_3d()
reference_cube = realistic_3d()
ch.fix_known_issues(cube)
self.assertEqual(cube, reference_cube)
def test_no_fix_required_message(self):
cube = realistic_3d()
ch.fix_known_issues(cube)
self.mock_logger.info.assert_not_called()
def setUp(self):
self.cube = stock.realistic_3d()
def test_missing_attribute(self):
cube = realistic_3d()
fix = ExampleConcreteClass(cube)
self.assertFalse(fix.is_fix_needed())
def test_bounds_mismatch(self):
cube = stock.realistic_3d()
cube.coord("grid_longitude").guess_bounds()
with self.assertRaisesRegex(ValueError, "bounds"):
_ = _xy_range(cube)
def test_different_attr_value(self):
cube = realistic_3d()
cube.attributes['attrib_1'] = 'a'
cube.attributes['attrib_2'] = 'a'
fix = ExampleConcreteClass(cube)
self.assertFalse(fix.is_fix_needed())
def setUp(self):
self.cube = realistic_3d()
self.coords = ('grid_longitude', 'grid_latitude')
def test_all_attributes_match(self):
cube = realistic_3d()
cube.attributes['attrib_1'] = 'a'
cube.attributes['attrib_2'] = 'b'
fix = ExampleConcreteClass(cube)
self.assertTrue(fix.is_fix_needed())
def setUp(self):
self.cube = stock.realistic_3d()[0, 0, 0]
self.representer = CubeRepresentation(self.cube)
self.representer.repr_html()
def test_bounds_mismatch(self):
cube = stock.realistic_3d()
cube.coord('grid_longitude').guess_bounds()
with self.assertRaisesRegex(ValueError, 'bounds'):
result_non_circ = _xy_range(cube)
def setUp(self):
super(TestCubeEqualiser, self).setUp()
abs_path = os.path.dirname(os.path.abspath(__file__))
self.tmp_dir = abs_path + '/' + 'tmp_dir/'
self.tmp_dir_aux = abs_path + '/' + 'tmp_dir_aux/'
self.tmp_dir_attr = abs_path + '/' + 'tmp_dir_attr/'
self.tmp_dir_time = abs_path + '/' + 'tmp_dir_time/'
if not os.path.exists(self.tmp_dir):
os.mkdir(self.tmp_dir)
if not os.path.exists(self.tmp_dir_attr):
os.mkdir(self.tmp_dir_attr)
if not os.path.exists(self.tmp_dir_aux):
os.mkdir(self.tmp_dir_aux)
if not os.path.exists(self.tmp_dir_time):
os.mkdir(self.tmp_dir_time)
base_cube = stock.realistic_3d()
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
new_time = cf_units.Unit('hours since 1980-01-01 00:00:00',
'gregorian')
cube_2.dim_coords[0].convert_units(new_time)
new_time = cf_units.Unit('hours since 1990-01-01 00:00:00',
'gregorian')
cube_3.dim_coords[0].convert_units(new_time)
self.temp_1_time = 'temp_1_time.nc'
self.temp_2_time = 'temp_2_time.nc'
self.temp_3_time = 'temp_3_time.nc'
iris.save(cube_1, self.tmp_dir_time + self.temp_1_time)
iris.save(cube_2, self.tmp_dir_time + self.temp_2_time)
iris.save(cube_3, self.tmp_dir_time + self.temp_3_time)
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
self.temp_1 = 'temp_1.nc'
self.temp_2 = 'temp_2.nc'
self.temp_3 = 'temp_3.nc'
iris.save(cube_1, self.tmp_dir + self.temp_1)
iris.save(cube_2, self.tmp_dir + self.temp_2)
iris.save(cube_3, self.tmp_dir + self.temp_3)
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
cube_2.attributes['history'] = 'some differing attributes'
cube_2.attributes['creation_date'] = 'life day'
cube_3.attributes['tracking_id'] = 'askbjQODOQwd210934AS'
self.temp_1_attr = 'temp_1_attr.nc'
self.temp_2_attr = 'temp_2_attr.nc'
self.temp_3_attr = 'temp_3_attr.nc'
iris.save(cube_1, self.tmp_dir_attr + self.temp_1_attr)
iris.save(cube_2, self.tmp_dir_attr + self.temp_2_attr)
iris.save(cube_3, self.tmp_dir_attr + self.temp_3_attr)
cube_1 = base_cube[0:2]
cube_2 = base_cube[2:4]
cube_3 = base_cube[4:]
height_coord = iris.coords.AuxCoord(2,
standard_name='height',
long_name='height',
var_name='height',
units='m')
cube_2.add_aux_coord(height_coord)
self.temp_1_aux = 'temp_1_aux.nc'
self.temp_2_aux = 'temp_2_aux.nc'
self.temp_3_aux = 'temp_3_aux.nc'
iris.save(cube_1, self.tmp_dir_aux + self.temp_1_aux)
iris.save(cube_2, self.tmp_dir_aux + self.temp_2_aux)
iris.save(cube_3, self.tmp_dir_aux + self.temp_3_aux)
def test_non_circular(self):
cube = stock.realistic_3d()
assert not cube.coord('grid_longitude').circular
result_non_circ = _xy_range(cube)
self.assertEqual(result_non_circ, ((-5.0, 5.0), (-4.0, 4.0)))
def setUp(self):
self.cube = stock.realistic_3d()
def setUp(self):
self.cube = realistic_3d()
self.axes = tests.mock.sentinel.axes
self.patcher = self.patch('cube_browser.Plot2D._check_coords')
