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ARROW-5480: [Python] Add unit test asserting specifically that pandas.Categorical roundtrips to Parquet format without special options #5110

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ARROW-5480: [Python] Add unit test asserting specifically that pandas.Categorical roundtrips to Parquet format without special options #5110

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620b3b8
Add unit test for ARROW-5480
wesm Aug 16, 2019
9e98404
Improve unit test for out-of-order values, nulls, unobserved category…
wesm Aug 16, 2019
f1f8082
Don't use pandas's Parquet functions since they don't work in CI for …
wesm Aug 17, 2019
a161b24
Add missing pandas marks
wesm Aug 19, 2019
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19 changes: 19 additions & 0 deletions python/pyarrow/tests/test_parquet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3033,6 +3033,25 @@ def test_pandas_categorical_na_type_row_groups():
assert result[1].equals(table[1])


@pytest.mark.pandas
def test_pandas_categorical_roundtrip():
# ARROW-5480, this was enabled by ARROW-3246

# Have one of the categories unobserved and include a null (-1)
codes = np.array([2, 0, 0, 2, 0, -1, 2], dtype='int32')
categories = ['foo', 'bar', 'baz']
df = pd.DataFrame({'x': pd.Categorical.from_codes(
codes, categories=categories)})

buf = pa.BufferOutputStream()
pq.write_table(pa.table(df), buf)

result = pq.read_table(buf.getvalue()).to_pandas()
assert result.x.dtype == 'category'
assert (result.x.cat.categories == categories).all()
tm.assert_frame_equal(result, df)


@pytest.mark.pandas
def test_multi_dataset_metadata(tempdir):
filenames = ["ARROW-1983-dataset.0", "ARROW-1983-dataset.1"]
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