mypy fixup

pandas/io/pytables.py

@@ -2071,12 +2071,17 @@ def convert(self, values: np.ndarray, nan_rep, encoding: str, errors: str):
         if self.freq is not None:
             kwargs["freq"] = _ensure_decoded(self.freq)
 
-        factory: type[Index] | type[DatetimeIndex] | type[PeriodIndex] = Index
+        factory: type[Index] | type[DatetimeIndex] = Index
         if is_datetime64_dtype(values.dtype) or is_datetime64tz_dtype(values.dtype):
             factory = DatetimeIndex
         elif values.dtype == "i8" and "freq" in kwargs:
             # PeriodIndex data is stored as i8
-            factory = lambda x, **kwds: PeriodIndex(ordinal=x, **kwds)
+            # error: Incompatible types in assignment (expression has type
+            # "Callable[[Any, KwArg(Any)], PeriodIndex]", variable has type
+            # "Union[Type[Index], Type[DatetimeIndex]]")
+            factory = lambda x, **kwds: PeriodIndex(  # type: ignore[assignment]
+                ordinal=x, **kwds
+            )
 
         # making an Index instance could throw a number of different errors
         try: