8000 More tests on the API by iskode · Pull Request #49 · data-apis/dataframe-api · GitHub
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More tests on the API #49

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Merged
merged 6 commits into from
Sep 1, 2021
Merged

More tests on the API #49

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f7b42e1
__dataframe__ test
iskode Aug 17, 2021
bfe6432
add some column tests for the protocol
iskode Aug 17, 2021
7718c76
refactors helper function names and signatures
iskode Aug 24, 2021
011dd5d
add few tests on the buffer
iskode Aug 24, 2021
7d7dcee
Merge branch 'main' into more-tests
iskode Aug 26, 2021
1c2f039
update assert_dataframe_equal with recent changes
iskode Aug 26, 2021
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refactors helper function names and signatures
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@iskode
iskode committed Aug 24, 2021
commit 7718c76f465bd83e1a921f66cf484178d47028f3
18 changes: 10 additions & 8 deletions protocol/pandas_implementation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -538,31 +538,33 @@ def get_chunks(self, n_chunks : Optional[int] = None) -> Iterable['_PandasDataFr
# Roundtrip testing
# -----------------

def test_column(pdcol:pd.Series, col: _PandasColumn):
assert pdcol.size == col.size
def assert_column_equal(col: _PandasColumn, pdcol:pd.Series):
assert col.size == pdcol.size
assert col.offset == 0
assert pdcol.isnull().sum() == col.null_count
assert col.null_count == pdcol.isnull().sum()
assert col.num_chunks() == 1
pytest.raises(RuntimeError, col.get_mask)

def test__dataframe__(df:pd.DataFrame, dfo: DataFrameObject):
def assert_dataframe_equal(dfo: DataFrameObject, df:pd.DataFrame):
assert dfo.num_columns() == len(df.columns)
assert dfo.num_rows() == len(df)
assert dfo.num_chunks() == 1
assert dfo.column_names() == list(df.columns)
for col in df.columns:
test_column(df[col], dfo.get_column_by_name(col))
assert_column_equal(dfo.get_column_by_name(col), df[col])

def test_float_only():
df = pd.DataFrame(data=dict(a=[1.5, 2.5, 3.5], b=[9.2, 10.5, 11.8]))
df2 = from_dataframe(df)
test__dataframe__(df, df.__dataframe__())
assert_dataframe_equal(df.__dataframe__(), df)
tm.assert_frame_equal(df, df2)


def test_mixed_intfloat():
df = pd.DataFrame(data=dict(a=[1, 2, 3], b=[3, 4, 5],
c=[1.5, 2.5, 3.5], d=[9, 10, 11]))
df2 = from_dataframe(df)
test__dataframe__(df, df.__dataframe__())
assert_dataframe_equal(df.__dataframe__(), df)
tm.assert_frame_equal(df, df2)


Expand Down Expand Up @@ -590,7 +592,7 @@ def test_categorical_dtype():
assert col.describe_categorical == (False, True, {0: 1, 1: 2, 2: 5})

df2 = from_dataframe(df)
test__dataframe__(df, df.__dataframe__())
assert_dataframe_equal(df.__dataframe__(), df)
tm.assert_frame_equal(df, df2)


Expand Down
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