8000 Pivot nans fix by endremborza · Pull Request #28540 · pandas-dev/pandas · GitHub
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Pivot nans fix #28540

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Pivot nans fix #28540

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79a08d7
Merge pull request #1 from pandas-dev/master
endremborza Sep 19, 2019
114e2d0
keep nan cols test
endremborza Sep 19, 2019
b9c237a
add keep nan cols functionality
endremborza Sep 19, 2019
07b3df7
black formatting
endremborza Sep 19, 2019
39a6427
extend pivot nancol test
endremborza Sep 20, 2019
8c5fd32
restructure keep nan cols in tests
endremborza Sep 20, 2019
2bfdf2b
restructure keep nan cols implementation
endremborza Sep 20, 2019
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keep nan cols test
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@endremborza
endremborza committed Sep 19, 2019
commit 114e2d02b4c8e8d8c1e5d34a0dad49726b767dce
33 changes: 33 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 @@ -185,6 +185,39 @@ def test_pivot_table_dropna(self):
tm.assert_index_equal(pv_col.columns, m)
tm.assert_index_equal(pv_ind.index, m)

def test_pivot_table_keep_nancols(self):
df = pd.DataFrame(
{
"metric_value": [10, 11, 0, 3, np.nan, np.nan, 100, 20],
"metric_name": ["m", "n", "m", "x", "n", "x", "m", "n"],
"product": ["A", "A", "B", "B", "C", "C", "D", "D"],
"measurer": ["Tom", "Tom", "Bill", "Tom", "Bill", "Tom", "Bill", "Tom"],
}
)
pv_col = df.pivot_table(
"metric_value", "metric_name", ["measurer", "product"], dropna=False,
keep_only_observed_nancols=True
)
pv_ind = df.pivot_table(
"metric_value", ["measurer", "product"], "metric_name", dropna=False,
keep_only_observed_nancols=True
)

m = MultiIndex.from_tuples(
[
("Bill", "B"),
("Bill", "C"),
("Bill", "D"),
("Tom", "A"),
("Tom", "B"),
("Tom", "C"),
("Tom", "D"),
],
names=["measurer", "product"],
)
tm.assert_index_equal(pv_col.columns, m)
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Can you construct the expected output and use tm.assert_frame_equal(result, expected instead? You should see that in a lot of other tests

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did one way

tm.assert_index_equal(pv_ind.index, m)

def test_pivot_table_categorical(self):

cat1 = Categorical(
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0