def test_assemble_concatenated_meta(self):
# Happy path
meta1 = pd.DataFrame([["a", "b"], ["c", "d"]],
index=["c1", "c2"],
columns=["hd1", "hd2"])
meta2 = pd.DataFrame([["e", "f", "g"], ["h", "i", "j"]],
index=["c2", "c3"],
columns=["hd1", "hd2", "hd3"])
e_concated = pd.DataFrame([["a", "b", np.nan], ["e", "f", "g"],
["c", "d", np.nan], ["h", "i", "j"]],
index=["c1", "c2", "c2", "c3"],
columns=["hd1", "hd2", "hd3"])
logger.debug("meta1:\n{}".format(meta1))
logger.debug("meta2:\n{}".format(meta2))
logger.debug("e_concated:\n{}".format(e_concated))
concated = cg.assemble_concatenated_meta([meta2, meta1], False)
logger.debug("happy path - concated:\n{}".format(concated))
pd.util.testing.assert_frame_equal(e_concated, concated)
#remove all metadata
r = cg.assemble_concatenated_meta([meta2, meta1], True)
logger.debug("remove all metadata - r:\n{}".format(r))
self.assertEqual((4, 0), r.shape)
self.assertTrue((e_concated.index == r.index).all())
def test_assemble_concatenated_meta(self):
# Happy path
meta1 = pd.DataFrame([["a", "b"], ["c", "d"]],
index=["c1", "c2"],
columns=["hd1", "hd2"])
meta2 = pd.DataFrame([["e", "f", "g"], ["h", "i", "j"]],
index=["c2", "c3"],
columns=["hd1", "hd2", "hd3"])
e_concated = pd.DataFrame([["a", "b", np.nan], ["e", "f", "g"],
["c", "d", np.nan], ["h", "i", "j"]],
index=["c1", "c2", "c2", "c3"],
columns=["hd1", "hd2", "hd3"])
logger.debug("meta1:\n{}".format(meta1))
logger.debug("meta2:\n{}".format(meta2))
logger.debug("e_concated:\n{}".format(e_concated))
concated = cg.assemble_concatenated_meta([meta2, meta1])
pd.util.testing.assert_frame_equal(e_concated, concated)