def test_unsorted_index_raises(self):
random_data = np.random.random(size=(4, 6))
dim0 = [0, 1, 2, 3]
dim1 = [0, 2, 1, 3, 5, 4] # We will sort this in a later step
da = xray.DataArray(data=random_data, dims=('dim0', 'dim1'),
coords={'dim0': dim0, 'dim1': dim1}, name='randovar')
ds = da.to_dataset()
with self.roundtrip(ds) as ondisk:
inds = np.argsort(dim1)
ds2 = ondisk.isel(dim1=inds)
with self.assertRaisesRegexp(IndexError, 'first by calling .load'):
print(ds2.randovar.values) # should raise IndexError in netCDF4
def test_unsorted_index_raises(self):
# should be fixed in netcdf4 v1.2.1
random_data = np.random.random(size=(4, 6))
dim0 = [0, 1, 2, 3]
dim1 = [0, 2, 1, 3, 5, 4] # We will sort this in a later step
da = xr.DataArray(data=random_data, dims=('dim0', 'dim1'),
coords={'dim0': dim0, 'dim1': dim1}, name='randovar')
ds = da.to_dataset()
with self.roundtrip(ds) as ondisk:
inds = np.argsort(dim1)
ds2 = ondisk.isel(dim1=inds)
try:
print(ds2.randovar.values) # should raise IndexError in netCDF4
except IndexError as err:
self.assertIn('first by calling .load', str(err))
def test_unsorted_index_raises(self):
# should be fixed in netcdf4 v1.2.1
random_data = np.random.random(size=(4, 6))
dim0 = [0, 1, 2, 3]
dim1 = [0, 2, 1, 3, 5, 4] # We will sort this in a later step
da = xr.DataArray(data=random_data,
dims=('dim0', 'dim1'),
coords={
'dim0': dim0,
'dim1': dim1
},
name='randovar')
ds = da.to_dataset()
with self.roundtrip(ds) as ondisk:
inds = np.argsort(dim1)
ds2 = ondisk.isel(dim1=inds)
try:
print(
ds2.randovar.values) # should raise IndexError in netCDF4
except IndexError as err:
self.assertIn('first by calling .load', str(err))
