TYP: update to mypy-0.910

environment.yml

@@ -24,7 +24,7 @@ dependencies:
   - flake8-bugbear=21.3.2  # used by flake8, find likely bugs
   - flake8-comprehensions=3.1.0  # used by flake8, linting of unnecessary comprehensions
   - isort>=5.2.1  # check that imports are in the right order
-  - mypy=0.812
+  - mypy=0.910
   - pre-commit>=2.9.2
   - pycodestyle  # used by flake8
   - pyupgrade
@@ -118,3 +118,7 @@ dependencies:
     - git+https://github.com/pydata/pydata-sphinx-theme.git@master
     - numpydoc < 1.2  # 2021-02-09 1.2dev breaking CI
     - pandas-dev-flaker==0.2.0
+    - types-python-dateutil
+    - types-PyMySQL
+    - types-pytz
+    - types-setuptools

pandas/core/frame.py

@@ -6190,7 +6190,7 @@ def f(vals) -> tuple[np.ndarray, int]:
             subset = (subset,)
 
         #  needed for mypy since can't narrow types using np.iterable
-        subset = cast(Iterable, subset)
+        subset = cast(Sequence, subset)
 
         # Verify all columns in subset exist in the queried dataframe
         # Otherwise, raise a KeyError, same as if you try to __getitem__ with a

pandas/core/internals/array_manager.py

@@ -820,9 +820,7 @@ def iset(self, loc: int | slice | np.ndarray, value: ArrayLike):
             assert isinstance(value, (np.ndarray, ExtensionArray))
             assert value.ndim == 1
             assert len(value) == len(self._axes[0])
-            # error: Invalid index type "Union[int, slice, ndarray]" for
-            # "List[Union[ndarray, ExtensionArray]]"; expected type "int"
-            self.arrays[loc] = value  # type: ignore[index]
+            self.arrays[loc] = value
             return
 
         # multiple columns -> convert slice or array to integer indices

requirements-dev.txt

@@ -12,7 +12,7 @@ flake8==3.9.2
 flake8-bugbear==21.3.2
 flake8-comprehensions==3.1.0
 isort>=5.2.1
-mypy==0.812
+mypy==0.910
 pre-commit>=2.9.2
 pycodestyle
 pyupgrade
@@ -81,3 +81,7 @@ natsort
 git+https://github.com/pydata/pydata-sphinx-theme.git@master
 numpydoc < 1.2
 pandas-dev-flaker==0.2.0
+types-python-dateutil
+types-PyMySQL
+types-pytz
+types-setuptools