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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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23 changes: 23 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 +142,29 @@ 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,
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Move the angled bracket to the line above. Move the word arr to the next line and move the subsequent kwargs up to that line accordingly (so long as they fit)

categories=['low', 'high'],
ordered=True),
"Col": ["A", "B", "C", "A", "B"],
"Val": range(1, 6)})
result = df.pivot_table(index="In", columns="Col", values="Val",
dropna=dropna)
expected = pd.DataFrame(
{
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Move this up a line

'A': [4.0, np.nan],
'B': [2.0, np.nan],
'C': [np.nan, 3.0]},
index=pd.Index(
pd.Categorical.from_codes([0, 1],
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Try moving [0, 1] to the next line and moving the subsequent kwargs up

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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