def test_that_file_contents_are_valid(self):
dp.write_netcdf(self.ds, self.file_name)
new_ds = local.load_file(self.file_name, self.ds.variable)
self.assertEqual(self.ds.variable, new_ds.variable)
np.testing.assert_array_equal(self.ds.lats, new_ds.lats)
np.testing.assert_array_equal(self.ds.lons, new_ds.lons)
np.testing.assert_array_equal(self.ds.times, new_ds.times)
np.testing.assert_array_equal(self.ds.values, new_ds.values)
def test_that_file_contents_are_valid(self):
dp.write_netcdf(self.ds, self.file_name)
new_ds = local.load_file(self.file_name, self.ds.variable)
self.assertEqual(self.ds.variable, new_ds.variable)
np.testing.assert_array_equal(self.ds.lats, new_ds.lats)
np.testing.assert_array_equal(self.ds.lons, new_ds.lons)
np.testing.assert_array_equal(self.ds.times, new_ds.times)
np.testing.assert_array_equal(self.ds.values, new_ds.values)
def test_file_write(self):
dp.write_netcdf(self.ds, self.file_name)
self.assertTrue(os.path.isfile(self.file_name))
def test_file_write(self):
dp.write_netcdf(self.ds, self.file_name)
self.assertTrue(os.path.isfile(self.file_name))
for target_name in target_names:
print(target_name)
""" Step 4: Checking and converting variable units """
print('Checking and converting variable units')
reference_dataset = dsp.variable_unit_conversion(reference_dataset)
for i, dataset in enumerate(target_datasets):
target_datasets[i] = dsp.variable_unit_conversion(dataset)
workdir = config['workdir']
if workdir[-1] != '/':
workdir = workdir + '/'
if not os.path.exists(workdir):
os.system("mkdir -p " + workdir)
var_name = season + '_' + data_info[0]['variable_name']
dsp.write_netcdf(reference_dataset,
path=workdir + domain.upper() + '_' + var_name + '_' +
reference_name + '.nc')
for itarget, dataset in enumerate(target_datasets):
dsp.write_netcdf(dataset,
path=workdir + domain.upper() + '_' + var_name + '_' +
target_names[itarget] + '.nc')
""" Step 3: Spatial regriding of the datasets """
print('Regridding datasets: {}'.format(config['regrid']))
if not config['regrid']['regrid_on_reference']:
reference_dataset = dsp.spatial_regrid(reference_dataset, new_lat, new_lon)
print('Reference dataset has been regridded')
for i, dataset in enumerate(target_datasets):
target_datasets[i] = dsp.spatial_regrid(dataset,
new_lat,
new_lon,
boundary_check=boundary_check)
