CLN: Use newer numpy random Generator methods in plotting colors

Author: mroeschke

pandas/core/arrays/masked.py

@@ -515,7 +515,7 @@ def tolist(self) -> list:
         if self.ndim > 1:
             return [x.tolist() for x in self]
         dtype = None if self._hasna else self._data.dtype
-        return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist()  # type: ignore[return-value]
+        return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist()
 
     @overload
     def astype(self, dtype: npt.DTypeLike, copy: bool = ...) -> np.ndarray: ...

pandas/core/base.py

@@ -875,7 +875,7 @@ def tolist(self) -> list:
         >>> idx.to_list()
         [1, 2, 3]
         """
-        return self._values.tolist()  # type: ignore[return-value]
+        return self._values.tolist()
 
     to_list = tolist
 

pandas/core/groupby/generic.py

@@ -2142,7 +2142,7 @@ def _wrap_applied_output_series(
 
         if stacked_values.dtype == object:
             # We'll have the DataFrame constructor do inference
-            stacked_values = stacked_values.tolist()  # type: ignore[assignment]
+            stacked_values = stacked_values.tolist()
         result = self.obj._constructor(stacked_values, index=index, columns=columns)
 
         if not self.as_index:

pandas/io/formats/format.py

@@ -1495,7 +1495,7 @@ def _format_strings(self) -> list[str]:
         fmt_values = values._format_native_types(
             na_rep=self.nat_rep, date_format=self.date_format
         )
-        return fmt_values.tolist()  # type: ignore[return-value]
+        return fmt_values.tolist()
 
 
 class _ExtensionArrayFormatter(_GenericArrayFormatter):