Skip to content

REGR: undocumented astype("category").astype(str) type inconsistency between pandas 1.1 & 1.2 #42087

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Jun 21, 2021
Merged
Show file tree
Hide file tree
Changes from 2 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.2.5.rst
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@ Fixed regressions
- Regression in :func:`read_csv` when using ``memory_map=True`` with an non-UTF8 encoding (:issue:`40986`)
- Regression in :meth:`DataFrame.replace` and :meth:`Series.replace` when the values to replace is a NumPy float array (:issue:`40371`)
- Regression in :func:`ExcelFile` when a corrupt file is opened but not closed (:issue:`41778`)
- Fixed regression in :meth:`DataFrame.astype` with ``dtype=str`` failing to convert ``NaN`` in categorical columns (:issue:`41797`)

.. ---------------------------------------------------------------------------
Expand Down
5 changes: 4 additions & 1 deletion pandas/core/arrays/categorical.py
Original file line number Diff line number Diff line change
Expand Up @@ -523,14 +523,17 @@ def astype(self, dtype: Dtype, copy: bool = True) -> ArrayLike:
try:
new_cats = np.asarray(self.categories)
new_cats = new_cats.astype(dtype=dtype, copy=copy)
fill_value = np.array(np.nan).astype(dtype).item()
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

there are cases where .item() has weird behavior and we use lib.item_from_zerodim instead. no idea if any of those cases are reachable here

except (
TypeError, # downstream error msg for CategoricalIndex is misleading
ValueError,
):
msg = f"Cannot cast {self.categories.dtype} dtype to {dtype}"
raise ValueError(msg)

result = take_nd(new_cats, ensure_platform_int(self._codes))
result = take_nd(
new_cats, ensure_platform_int(self._codes), fill_value=fill_value
)

return result

Expand Down
8 changes: 8 additions & 0 deletions pandas/tests/frame/methods/test_astype.py
Original file line number Diff line number Diff line change
Expand Up @@ -698,3 +698,11 @@ def test_categorical_astype_to_int(self, any_int_or_nullable_int_dtype):
{"col1": pd.array([2, 1, 3], dtype=any_int_or_nullable_int_dtype)}
)
tm.assert_frame_equal(df, expected)

def test_astype_categorical_to_string_missing(self):
# https://github.com/pandas-dev/pandas/issues/41797
df = DataFrame(["a", "b", np.nan])
expected = df.astype(str)
cat = df.astype("category")
result = cat.astype(str)
tm.assert_frame_equal(result, expected)