def test_setting_dim_index(dim):
index_attr = f"{dim}_names"
mapping_attr = f"{dim}m"
orig = gen_adata((5, 5))
orig.raw = orig
curr = orig.copy()
view = orig[:, :]
new_idx = pd.Index(list("abcde"), name="letters")
setattr(curr, index_attr, new_idx)
pd.testing.assert_index_equal(getattr(curr, index_attr), new_idx)
pd.testing.assert_index_equal(
getattr(curr, mapping_attr)["df"].index, new_idx)
pd.testing.assert_index_equal(curr.obs_names, curr.raw.obs_names)
# Testing view behaviour
setattr(view, index_attr, new_idx)
assert not view.is_view
pd.testing.assert_index_equal(getattr(view, index_attr), new_idx)
pd.testing.assert_index_equal(
getattr(view, mapping_attr)["df"].index, new_idx)
with pytest.raises(AssertionError):
pd.testing.assert_index_equal(getattr(view, index_attr),
getattr(orig, index_attr))
assert_equal(view, curr, exact=True)
def test_attr_deletion():
full = gen_adata((30, 30))
# Empty has just X, obs_names, var_names
empty = AnnData(full.X, obs=full.obs[[]], var=full.var[[]])
for attr in ["obs", "var", "obsm", "varm", "obsp", "varp", "layers"]:
delattr(full, attr)
assert_equal(getattr(full, attr), getattr(empty, attr))
assert_equal(full, empty, exact=True)