def test_simple(self):
p1 = self.write_field_data('v1', ncol=1, nrow=1)
p2 = self.write_field_data('v2', ncol=1, nrow=1)
p3 = self.write_field_data('v1', dir='b')
p4 = self.write_field_data('v2', dir='b')
ref_range = [dt.datetime(2000, 3, 1), dt.datetime(2000, 3, 31)]
ref = [ocgis.RequestDataset(p, time_range=ref_range) for p in [p1, p2]]
reference = ocgis.MultiRequestDataset(ref)
reference = reference.get()
cand_range = [dt.datetime(2000, 8, 1), dt.datetime(2000, 8, 31)]
can = [
ocgis.RequestDataset(p, time_range=cand_range) for p in [p3, p4]
]
candidate = ocgis.MultiRequestDataset(can)
calc = [{
'func': 'dissimilarity',
'name': 'output_mfpf',
'kwds': {
'target': reference,
'candidate': ('v1', 'v2')
}
}]
ops = OcgOperations(dataset=candidate, calc=calc)
ret = ops.execute()
actual_field = ret.get_element()
actual_variables = get_variable_names(actual_field.data_variables)
self.assertEqual(actual_variables[0], ('dissimilarity'))
dist = actual_field['dissimilarity']
self.assertEqual(dist.shape, (1, 1, 2, 2))
def test_full(self):
"""Compute the dissimilarity will all metrics."""
from flyingpigeon import dissimilarity
from matplotlib import pyplot as plt
p1 = self.write_field_data('v1', ncol=1, nrow=1)
p2 = self.write_field_data('v2', ncol=1, nrow=1)
p3 = self.write_field_data('v1', ncol=11, nrow=10, dir='c')
p4 = self.write_field_data('v2', ncol=11, nrow=10, dir='c')
ref_range = [dt.datetime(2000, 3, 1), dt.datetime(2000, 3, 31)]
ref = [ocgis.RequestDataset(p, time_range=ref_range) for p in [p1, p2]]
reference = ocgis.MultiRequestDataset(ref)
reference = reference.get()
cand_range = [dt.datetime(2000, 8, 1), dt.datetime(2000, 8, 31)]
can = [
ocgis.RequestDataset(p, time_range=cand_range) for p in [p3, p4]
]
candidate = ocgis.MultiRequestDataset(can)
fig, axes = plt.subplots(2, 3)
for i, dist in enumerate(dissimilarity.__all__):
calc = [{
'func': 'dissimilarity',
'name': 'output_mfpf',
'kwds': {
'target': reference,
'candidate': ('v1', 'v2'),
'dist': dist
}
}]
ops = OcgOperations(dataset=candidate, calc=calc)
ret = ops.execute()
out_field = ret.get_element()
var_name = get_variable_names(out_field.data_variables)[0]
out = out_field[var_name].get_value()[0, 0]
axes.flat[i].imshow(out)
axes.flat[i].set_title(dist)
path = os.path.join(test_output_path,
'test_spatial_analog_metrics.png')
plt.savefig(path)
plt.close()
