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63 changes: 63 additions & 0 deletions pandas/tests/test_multilevel.py
Original file line number Diff line number Diff line change
Expand Up @@ -1932,6 +1932,69 @@ def test_repeat(self):
m_df = Series(data, index=m_idx)
assert m_df.repeat(3).shape == (3 * len(data),)

def test_subsets_multiindex_dtype(self):
# GH 20757
data = [
[
"n",
1,
0,
False,
2,
1,
False,
0,
0,
False,
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can you make this a bit more programatic, rather than hardcoding these values, it would be easier to copy-paste

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Thanks for the feedback, @jreback! Reproduced the same behaviour with simpler input data.

2,
0,
False,
0,
1,
False,
1,
1,
False,
"o",
1521734085.289453,
"p",
3233,
1521734085.289494,
]
]

columns = [
("a", "d", "i", np.nan, np.nan),
("a", "d", "j", 0.0, "k"),
("a", "d", "j", 0.0, "l"),
("a", "d", "j", 0.0, "m"),
("a", "d", "j", 1.0, "k"),
("a", "d", "j", 1.0, "l"),
("a", "d", "j", 1.0, "m"),
("a", "d", "j", 2.0, "k"),
("a", "d", "j", 2.0, "l"),
("a", "d", "j", 2.0, "m"),
("a", "d", "j", 3.0, "k"),
("a", "d", "j", 3.0, "l"),
("a", "d", "j", 3.0, "m"),
("a", "d", "j", 4.0, "k"),
("a", "d", "j", 4.0, "l"),
("a", "d", "j", 4.0, "m"),
("a", "d", "j", 5.0, "k"),
("a", "d", "j", 5.0, "l"),
("a", "d", "j", 5.0, "m"),
("b", "f", np.nan, np.nan, np.nan),
("b", "h", np.nan, np.nan, np.nan),
("c", "e", np.nan, np.nan, np.nan),
("c", "g", np.nan, np.nan, np.nan),
("c", "h", np.nan, np.nan, np.nan),
]

columns = pd.MultiIndex.from_tuples(columns)
df = pd.DataFrame(data, columns=columns)

tm.assert_equal(df.dtypes.a.d.i, df.a.d.i.dtypes)
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can you use

result=
expected=
tm.assert_frame_equal(result, equal)

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Thanks for the feedback, @jreback! Currently using tm.assert_series_equal(result, expected).



class TestSorted(Base):
""" everything you wanted to test about sorting """
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