def test_frame_go_extend_items(self, arrays: tp.Sequence[np.ndarray]) -> None:
frame_array = arrays[0]
# just take first columm form 2d arrays
series_arrays = [a[:, 0] for a in arrays[1:]]
f1 = FrameGO(frame_array)
shape = f1.shape
letters = self.get_letters(len(series_arrays))
def items() -> tp.Iterator[tp.Tuple[tp.Hashable, Series]]:
for idx, label in enumerate(letters):
s = Series(series_arrays[idx], index=f1.index)
yield label, s
f1.extend_items(items())
self.assertEqual(f1.shape[1], shape[1] + len(series_arrays))
def test_store_zip_pickle_c(self) -> None:
f1 = FrameGO.from_dict(dict(a=(1, 2), b=(3, 4)),
index=('x', 'y'),
name='foo')
config = StoreConfig(index_depth=1, include_index=True)
config_map = StoreConfigMap.from_config(config)
with temp_file('.zip') as fp:
st = StoreZipPickle(fp)
# raise if trying to store a FrameGO
with self.assertRaises(NotImplementedError):
st.write(((f1.name, f1), ))
def test_frame_go_extend(self, arrays: tp.Sequence[np.ndarray]) -> None:
f1 = FrameGO(arrays[0], columns=self.get_letters(arrays[0].shape[1]))
shape = f1.shape
f2 = Frame(arrays[1])
f1.extend(f2)
self.assertEqual(f1.shape[1], shape[1] + f2.shape[1])