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TST: Verify that float columns stay float after pivot (#7142) #16815

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Jul 6, 2017
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TST: Verify that float columns stay float after pivot (#7142) #16815

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18 changes: 18 additions & 0 deletions pandas/tests/reshape/test_pivot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -167,6 +167,24 @@ def test_pivot_dtypes(self):
expected = Series(dict(float64=2))
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize('columns,values',
[('bool1', ['float1', 'float2']),
('bool1', ['float1', 'float2', 'bool1']),
('bool2', ['float1', 'float2', 'bool1'])])
def test_pivot_preserve_dtypes(self, columns, values):
# GH 7142 regression test
v = np.arange(5, dtype=np.float64)
df = DataFrame({'float1': v, 'float2': v + 2.0,
'bool1': v <= 2, 'bool2': v <= 3})

df_res = df.reset_index().pivot_table(
index='index', columns=columns, values=values)

result = dict(df_res.dtypes)
expected = {col: np.dtype('O') if col[0].startswith('b')
else np.dtype('float64') for col in df_res}
assert result == expected

def test_pivot_no_values(self):
# GH 14380
idx = pd.DatetimeIndex(['2011-01-01', '2011-02-01', '2011-01-02',
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