validation

Author: jbrockmendel

pandas/core/internals/base.py

@@ -9,14 +9,19 @@
     final,
 )
 
+import numpy as np
+
 from pandas._typing import (
     ArrayLike,
     DtypeObj,
     Shape,
 )
 from pandas.errors import AbstractMethodError
 
-from pandas.core.dtypes.cast import find_common_type
+from pandas.core.dtypes.cast import (
+    find_common_type,
+    np_can_hold_element,
+)
 
 from pandas.core.base import PandasObject
 from pandas.core.indexes.api import (
@@ -174,6 +179,14 @@ def setitem_inplace(self, indexer, value) -> None:
         in place, not returning a new Manager (and Block), and thus never changing
         the dtype.
         """
+        arr = self.array
+
+        # EAs will do this validation in their own __setitem__ methods.
+        if isinstance(arr, np.ndarray):
+            # Note: checking for ndarray instead of np.dtype means we exclude
+            #  dt64/td64, which do their own validation.
+            value = np_can_hold_element(arr.dtype, value)
+
         self.array[indexer] = value
 
     def grouped_reduce(self, func, ignore_failures: bool = False):