Skip to content

BUG: Don't cast categorical nan to int #28438

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.

Sign up for GitHub

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 18 commits into from
Sep 18, 2019
Merged

BUG: Don't cast categorical nan to int #28438

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
18 commits
Select commit Hold shift + click to select a range
9dd2dbe
Don't cast categorical nan to int
Sep 12, 2019
952114f
Parametrize test
Sep 13, 2019
ffed8a0
Add CategoricalIndex test
Sep 14, 2019
504be90
Use isfinite
Sep 14, 2019
1290cb2
Fix
Sep 14, 2019
ab21763
Check TypeError as well for now
Sep 14, 2019
858ff06
Check error message
Sep 15, 2019
88874dc
Fix doc typo
Sep 15, 2019
eb76e1f
Revert "Use isfinite"
Sep 15, 2019
2a8186a
Extract array directly
Sep 15, 2019
afacbe3
Keep _maybe_promote
Sep 15, 2019
dbff36f
Add note
Sep 15, 2019
075ba33
Fix typo
Sep 15, 2019
5aeb8b6
Update doc/source/whatsnew/v1.0.0.rst
dsaxton Sep 16, 2019
af3ff15
Use np.asarray
Sep 16, 2019
e9cc1fa
Only check NaN
Sep 16, 2019
ab7b3ce
Change error message
Sep 17, 2019
754a3ed
Add to test cases
Sep 17, 2019
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
3 changes: 3 additions & 0 deletions pandas/core/arrays/categorical.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -520,6 +520,9 @@ def astype(self, dtype: Dtype, copy: bool = True) -> ArrayLike:
if dtype == self.dtype:
return self
return self._set_dtype(dtype)
if is_integer_dtype(dtype) and self.isin([np.nan, -np.inf, np.inf]).any():
msg = "Cannot cast to int."
Copy link
Contributor

Choose a reason for hiding this comment

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

ValueError: cannot convert float NaN to integer is what we do now on
pd.Series([1,2,np.nan],dtype='Int64').astype('int') so would replicate this message

raise ValueError(msg)
return np.array(self, dtype=dtype, copy=copy)

@cache_readonly
Expand Down
9 changes: 8 additions & 1 deletion pandas/tests/extension/test_categorical.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,14 @@ def test_searchsorted(self, data_for_sorting):


class TestCasting(base.BaseCastingTests):
pass
def test_cast_nan_to_int(self):
s1 = pd.Series([0, 1, np.nan], dtype="category")
s2 = pd.Series([0, 1, np.inf], dtype="category")

with pytest.raises(ValueError):
s1.astype(int)
with pytest.raises(ValueError):
s2.astype(int)


class TestArithmeticOps(base.BaseArithmeticOpsTests):
Expand Down