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Backport PR #57758 on branch 2.2.x (BUG: DataFrame Interchange Protocol errors on Boolean columns) #58036

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Merged
merged 1 commit into from
Mar 27, 2024
Merged

Backport PR #57758 on branch 2.2.x (BUG: DataFrame Interchange Protocol errors on Boolean columns) #58036

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v2.2.2.rst
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Expand Up @@ -22,6 +22,7 @@ Fixed regressions

Bug fixes
~~~~~~~~~
- :meth:`DataFrame.__dataframe__` was producing incorrect data buffers when the column's type was nullable boolean (:issue:`55332`)
- :meth:`DataFrame.__dataframe__` was showing bytemask instead of bitmask for ``'string[pyarrow]'`` validity buffer (:issue:`57762`)
- :meth:`DataFrame.__dataframe__` was showing non-null validity buffer (instead of ``None``) ``'string[pyarrow]'`` without missing values (:issue:`57761`)

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3 changes: 3 additions & 0 deletions pandas/core/interchange/utils.py
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Expand Up @@ -144,6 +144,9 @@ def dtype_to_arrow_c_fmt(dtype: DtypeObj) -> str:
elif isinstance(dtype, DatetimeTZDtype):
return ArrowCTypes.TIMESTAMP.format(resolution=dtype.unit[0], tz=dtype.tz)

elif isinstance(dtype, pd.BooleanDtype):
return ArrowCTypes.BOOL

raise NotImplementedError(
f"Conversion of {dtype} to Arrow C format string is not implemented."
)
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2 changes: 2 additions & 0 deletions pandas/tests/interchange/test_impl.py
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Expand Up @@ -470,6 +470,7 @@ def test_non_str_names_w_duplicates():
),
([1.0, 2.25, None], "Float32", "float32"),
([1.0, 2.25, None], "Float32[pyarrow]", "float32"),
([True, False, None], "boolean", "bool"),
([True, False, None], "boolean[pyarrow]", "bool"),
(["much ado", "about", None], "string[pyarrow_numpy]", "large_string"),
(["much ado", "about", None], "string[pyarrow]", "large_string"),
Expand Down Expand Up @@ -532,6 +533,7 @@ def test_pandas_nullable_with_missing_values(
),
([1.0, 2.25, 5.0], "Float32", "float32"),
([1.0, 2.25, 5.0], "Float32[pyarrow]", "float32"),
([True, False, False], "boolean", "bool"),
([True, False, False], "boolean[pyarrow]", "bool"),
(["much ado", "about", "nothing"], "string[pyarrow_numpy]", "large_string"),
(["much ado", "about", "nothing"], "string[pyarrow]", "large_string"),
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