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TST : Adding new test case for pivot_table() with Categorical data #21381

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TST : Adding new test case for pivot_table() with Categorical data #21381

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Update test_pivot.py
uds5501 Jun 8, 2018
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uds5501 Jun 8, 2018
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24 changes: 24 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 @@ -142,6 +142,30 @@ def test_pivot_table_dropna_categoricals(self, dropna):

tm.assert_frame_equal(result, expected)

def test_pivot_with_non_observable_dropna_civ(self, dropna):
# gh-21370
arr = [np.nan, 'low', 'high', 'low', np.nan]
df = pd.DataFrame({
"In": pd.Categorical(arr,
categories=['low', 'high'],
ordered=True),
"Col": ["A", "B", "C", "A", "B"],
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@jschendel jschendel Jun 11, 2018 •
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This should also be a Categorical with NaN values present in order to recreate the issue.

"Val": range(1, 6)
})
result = df.pivot_table(index="In", columns="Col", values="Val",
dropna=dropna)
expected = pd.DataFrame({
'A': [4.0, np.nan],
'B': [2.0, np.nan],
'C': [np.nan, 3.0]},
index=pd.Index(
pd.Categorical.from_codes(
[0, 1],
categories=['low', 'high'],
ordered=True),
name='In'))
tm.assert_frame_equal(result, expected)

def test_pivot_with_non_observable_dropna(self, dropna):
# gh-21133
df = pd.DataFrame(
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