Closed
Description
The following tests fails from time to time on Python 3.5 builds
=================================== FAILURES ===================================
_____________________________ test_agg_consistency _____________________________
[gw0] darwin -- Python 3.5.6 /Users/vsts/miniconda3/envs/pandas-dev/bin/python
def test_agg_consistency():
# make sure that we are consistent across
# similar aggregations with and w/o selection list
df = DataFrame(np.random.randn(1000, 3),
index=pd.date_range('1/1/2012', freq='S', periods=1000),
columns=['A', 'B', 'C'])
r = df.resample('3T')
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
expected = r[['A', 'B', 'C']].agg({'r1': 'mean', 'r2': 'sum'})
result = r.agg({'r1': 'mean', 'r2': 'sum'})
> assert_frame_equal(result, expected)
pandas/tests/resample/test_resample_api.py:250:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/_libs/testing.pyx:65: in pandas._libs.testing.assert_almost_equal
cpdef assert_almost_equal(a, b,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> raise_assert_detail(obj, msg, lobj, robj)
E AssertionError: MultiIndex level [0] are different
E
E MultiIndex level [0] values are different (100.0 %)
E [left]: Index(['r2', 'r2', 'r2', 'r1', 'r1', 'r1'], dtype='object')
E [right]: Index(['r1', 'r1', 'r1', 'r2', 'r2', 'r2'], dtype='object')
pandas/_libs/testing.pyx:178: AssertionError