STY: ignore mypy errors #62482

Alvaro-Kothe · 2025-09-27T19:58:03Z

I think this will make the CI green again.

The errors are because of a new version of numpy:

+ numpy==2.3.3
- numpy==2.2.6
+ numpy-typing-compat==20250818.2.3
- numpy-typing-compat==20250818.2.2

Original errors

# mypy
pandas/core/arrays/arrow/_arrow_utils.py:47: error: Unused "type: ignore" comment  [unused-ignore]
pandas/_typing.py:87: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/util/hashing.py:327: error: Incompatible types in assignment (expression has type "CategoricalDtype", variable has type "dtype[Any]")  [assignment]
pandas/core/util/hashing.py:328: error: Argument 2 to "_simple_new" of "Categorical" has incompatible type "dtype[Any]"; expected "CategoricalDtype"  [arg-type]
pandas/core/nanops.py:656: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/array_algos/quantile.py:105: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/algorithms.py:223: error: Incompatible types in assignment (expression has type "ndarray[tuple[Any, ...], dtype[Any]]", variable has type "ExtensionArray")  [assignment]
pandas/core/arrays/datetimes.py:807: error: Argument 1 to "view" of "ndarray" has incompatible type "dtype[datetime64[date | int | None]] | DatetimeTZDtype"; expected "dtype[Any] | _HasDType[dtype[Any]]"  [arg-type]
pandas/core/arrays/_mixins.py:154: error: Argument "dtype" to "view" of "ndarray" has incompatible type "ExtensionDtype | dtype[Any]"; expected "dtype[Any] | _HasDType[dtype[Any]]"  [arg-type]
pandas/core/arrays/string_.py:767: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/arrays/arrow/array.py:660: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/arrays/arrow/array.py:2741: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/arrays/categorical.py:1872: error: Unused "type: ignore" comment  [unused-ignore]
pandas/io/pytables.py:3309: error: Unused "type: ignore" comment  [unused-ignore]
pandas/io/pytables.py:3309: error: "ExtensionArray" has no attribute "asi8"  [attr-defined]
pandas/io/pytables.py:3309: note: Error code "attr-defined" not covered by "type: ignore" comment
pandas/io/pytables.py:3315: error: Unused "type: ignore" comment  [unused-ignore]
pandas/io/pytables.py:3315: error: "ExtensionArray" has no attribute "tz"  [attr-defined]
pandas/io/pytables.py:3315: note: Error code "attr-defined" not covered by "type: ignore" comment
pandas/io/pytables.py:5199: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/reshape/merge.py:1749: error: Item "ExtensionArray" of "ExtensionArray | Any" has no attribute "all"  [union-attr]
pandas/core/reshape/merge.py:1769: error: Item "ExtensionArray" of "ExtensionArray | Any" has no attribute "all"  [union-attr]
pandas/core/reshape/encoding.py:362: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/indexers/objects.py:134: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/indexers/objects.py:135: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/indexers/objects.py:405: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/indexers/objects.py:491: error: Unused "type: ignore" comment  [unused-ignore]
pandas/core/groupby/groupby.py:1889: error: Unused "type: ignore" comment  [unused-ignore]

# pyright

 pandas/core/methods/describe.py:357:19 - error: Type "list[float | NDArray[Any]]" is not assignable to declared type "Sequence[float] | ndarray[_AnyShape, dtype[Any]] | None"
    Type "list[float | NDArray[Any]]" is not assignable to type "Sequence[float] | ndarray[_AnyShape, dtype[Any]] | None"
      "list[float | NDArray[Any]]" is not assignable to "Sequence[float]"
        Type parameter "_T_co@Sequence" is covariant, but "float | NDArray[Any]" is not a subtype of "float"
          Type "float | NDArray[Any]" is not assignable to type "float"
            "ndarray[_AnyShape, dtype[Any]]" is not assignable to "float"
      "list[float | NDArray[Any]]" is not assignable to "ndarray[_AnyShape, dtype[Any]]"
      "list[float | NDArray[Any]]" is not assignable to "None" (reportAssignmentType)
      
  pandas/core/methods/describe.py:360:25 - error: Argument of type "Sequence[float] | ndarray[_AnyShape, dtype[Any]] | None" cannot be assigned to parameter "q" of type "float | Iterable[float]" in function "validate_percentile"
    Type "Sequence[float] | ndarray[_AnyShape, dtype[Any]] | None" is not assignable to type "float | Iterable[float]"
      Type "None" is not assignable to type "float | Iterable[float]"
        "None" is not assignable to "float"
        "None" is incompatible with protocol "Iterable[float]"
          "__iter__" is not present (reportArgumentType)

Dr-Irv

Thanks for doing this. When we have mypy errors, we try to include text of the mypy error in a comment, so there is a few places where you need to add those.

pandas/core/arrays/_mixins.py

pandas/core/arrays/datetimes.py

pandas/core/reshape/merge.py

pandas/core/util/hashing.py

Dr-Irv · 2025-09-27T21:28:56Z

pandas/io/pytables.py

+                value.asi8,  # type: ignore[attr-defined]
            )

            node = getattr(self.group, key)
            # error: Item "ExtensionArray" of "Union[Any, ExtensionArray]" has no
            # attribute "tz"
-            node._v_attrs.tz = _get_tz(value.tz)  # type: ignore[union-attr]
+            node._v_attrs.tz = _get_tz(value.tz)  # type: ignore[attr-defined]


add mypy error in comments (both places)

Dr-Irv · 2025-09-27T21:54:30Z

pandas/core/algorithms.py

        values = cls._from_sequence(values, dtype=dtype)  # type: ignore[assignment]

    else:
-        values = values.astype(dtype, copy=False)
+        values = values.astype(dtype, copy=False)  # type: ignore[assignment]

    return values


I think this can be fixed as follows. (and you can remove the comments in 218-219). Move the return values statement after line 220 where it says values = cls.from_sequence ... and after line 223 the values = values.astype... statement so that it is no longer at the end of the function.

If mypy still complains on either statement, you need to have a comment in there with the mypy error (as in lines 218-219)

I don't know If I've done what you asked, but ended up having these errors:

pandas/core/algorithms.py:232: error: Incompatible return value type (got "ExtensionArray", expected "ndarray[tuple[Any, ...], dtype[Any]]") [return-value]
pandas/core/algorithms.py:234: error: Incompatible return value type (got "ndarray[tuple[Any, ...], dtype[Any]]", expected "ExtensionArray") [return-value]

Check if the changes are correct please

Dr-Irv · 2025-09-27T21:56:24Z

pandas/core/nanops.py

        # error: Unsupported target for indexed assignment ("Union[ndarray[Any, Any],
        # datetime64, timedelta64]")
-        result[axis_mask] = iNaT  # type: ignore[index]
+        result[axis_mask] = iNaT


You can remove the comment here since you removed the ignore

Co-authored-by: Irv Lustig <[email protected]>

mroeschke · 2025-09-28T16:29:40Z

Thanks @Alvaro-Kothe

lumberbot-app · 2025-09-28T16:29:59Z

Owee, I'm MrMeeseeks, Look at me.

There seem to be a conflict, please backport manually. Here are approximate instructions:

Checkout backport branch and update it.

git checkout 2.3.x
git pull

Cherry pick the first parent branch of the this PR on top of the older branch:

git cherry-pick -x -m1 e97a56e746f8cdeabf7e83ec83455cbf5386c909

You will likely have some merge/cherry-pick conflict here, fix them and commit:

git commit -am 'Backport PR #62482: STY: ignore mypy errors'

Push to a named branch:

git push YOURFORK 2.3.x:auto-backport-of-pr-62482-on-2.3.x

Create a PR against branch 2.3.x, I would have named this PR:

"Backport PR #62482 on branch 2.3.x (STY: ignore mypy errors)"

And apply the correct labels and milestones.

Congratulations — you did some good work! Hopefully your backport PR will be tested by the continuous integration and merged soon!

Remember to remove the Still Needs Manual Backport label once the PR gets merged.

If these instructions are inaccurate, feel free to suggest an improvement.

Alvaro-Kothe · 2025-09-28T18:17:52Z

I don't believe backporting is required because branch 2.3.x does not use the latest version of NumPy.

pandas/environment.yml

Line 25 in 2ca088d

- numpy<2

Dr-Irv · 2025-09-29T00:50:48Z

I don't believe backporting is required because branch 2.3.x does not use the latest version of NumPy.

I'll let @mroeschke comment here, but I think backporting may be required because the CI requires the latest version of numpy. What I'm not sure of is if we run the code checks on the backported branch.

jorisvandenbossche · 2025-09-29T06:40:58Z

Indeed no need to backport (at the moment), the CI build on 2.3.x that runs linting is indeed pinned to numpy<2 as @Alvaro-Kothe mentions, so the typing errors are in general slightly different (and I don't think it is worth the effort to try to align that at this point)

Co-authored-by: Irv Lustig <[email protected]>

Alvaro-Kothe added 2 commits September 27, 2025 16:47

chore: remove mypy comment errors

3357468

chore(mypy): ignore mypy errors

97df043

Alvaro-Kothe requested review from rhshadrach and Dr-Irv as code owners September 27, 2025 19:58

fix: fix pyright error

eb51152

Dr-Irv requested changes Sep 27, 2025

View reviewed changes

Alvaro-Kothe and others added 4 commits September 27, 2025 19:51

Update pandas/core/util/hashing.py

a46f838

Co-authored-by: Irv Lustig <[email protected]>

chore: update error comments

3e5b664

wip

c1d9071

chore: remove extra whitespace

0c54eef

Alvaro-Kothe mentioned this pull request Sep 28, 2025

CI: temporary pin numpy to 2.2 for avoiding typing failures #62486

Closed

mroeschke approved these changes Sep 28, 2025

View reviewed changes

mroeschke added the Typing type annotations, mypy/pyright type checking label Sep 28, 2025

mroeschke added this to the 2.3.3 milestone Sep 28, 2025

mroeschke merged commit e97a56e into pandas-dev:main Sep 28, 2025
47 checks passed

lumberbot-app bot added the Still Needs Manual Backport label Sep 28, 2025

Alvaro-Kothe deleted the fix/mypy-errors branch September 28, 2025 18:15

jorisvandenbossche modified the milestones: 2.3.3, 3.0 Sep 29, 2025

jorisvandenbossche removed the Still Needs Manual Backport label Sep 29, 2025

jzwick pushed a commit to jzwick/pandas that referenced this pull request Oct 1, 2025

STY: ignore mypy errors (pandas-dev#62482)

8979648

Co-authored-by: Irv Lustig <[email protected]>

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mroeschke commented Sep 28, 2025

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Alvaro-Kothe commented Sep 27, 2025 •

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