CI: Uprade mypy min version (#52512)

* CI: Uprade mypy min version

* Fix

Author: phofl

doc/source/whatsnew/v2.1.0.rst

@@ -123,7 +123,7 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | Package         | Minimum Version | Required | Changed |
 +=================+=================+==========+=========+
-|                 |                 |    X     |    X    |
+| mypy (dev)      | 1.2             |          |    X    |
 +-----------------+-----------------+----------+---------+
 
 For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.

environment.yml

@@ -77,7 +77,7 @@ dependencies:
   - cpplint
   - flake8=6.0.0
   - isort>=5.2.1  # check that imports are in the right order
-  - mypy=1.0
+  - mypy=1.2
   - pre-commit>=2.15.0
   - pyupgrade
   - ruff=0.0.215

pandas/_libs/tslibs/timestamps.pyi

@@ -131,8 +131,12 @@ class Timestamp(datetime):
     def astimezone(self, tz: _tzinfo | None) -> Self: ...  # type: ignore[override]
     def ctime(self) -> str: ...
     def isoformat(self, sep: str = ..., timespec: str = ...) -> str: ...
+    # Return type "datetime" of "strptime" incompatible with return type "Timestamp"
+    # in supertype "datetime"
     @classmethod
-    def strptime(cls, date_string: str, format: str) -> datetime: ...
+    def strptime(  # type: ignore[override]
+        cls, date_string: str, format: str
+    ) -> datetime: ...
     def utcoffset(self) -> timedelta | None: ...
     def tzname(self) -> str | None: ...
     def dst(self) -> timedelta | None: ...

pandas/core/arrays/masked.py

@@ -950,9 +950,7 @@ def factorize(
             if na_index == 0:
                 na_code = np.intp(0)
             else:
-                # mypy error: Slice index must be an integer or None
-                # https://github.com/python/mypy/issues/2410
-                na_code = codes[:na_index].max() + 1  # type: ignore[misc]
+                na_code = codes[:na_index].max() + 1
             codes[codes >= na_code] += 1
             codes[codes == -1] = na_code
             # dummy value for uniques; not used since uniques_mask will be True

pandas/core/generic.py

@@ -4120,7 +4120,7 @@ class   animal   locomotion
             if not drop_level:
                 if lib.is_integer(loc):
                     # Slice index must be an integer or None
-                    new_index = index[loc : loc + 1]  # type: ignore[misc]
+                    new_index = index[loc : loc + 1]
                 else:
                     new_index = index[loc]
         else:

pandas/core/indexes/multi.py

@@ -2942,7 +2942,7 @@ def get_loc_level(self, key, level: IndexLabel = 0, drop_level: bool = True):
         if not drop_level:
             if lib.is_integer(loc):
                 # Slice index must be an integer or None
-                mi = self[loc : loc + 1]  # type: ignore[misc]
+                mi = self[loc : loc + 1]
             else:
                 mi = self[loc]
         return loc, mi

requirements-dev.txt

@@ -54,7 +54,7 @@ black==23.1.0
 cpplint
 flake8==6.0.0
 isort>=5.2.1
-mypy==1.0
+mypy==1.2
 pre-commit>=2.15.0
 pyupgrade
 ruff==0.0.215