diff --git a/pandas/core/computation/expressions.py b/pandas/core/computation/expressions.py
index 90bb12b4cd727..46bc762e1a0b3 100644
--- a/pandas/core/computation/expressions.py
+++ b/pandas/core/computation/expressions.py
@@ -107,15 +107,12 @@ def _evaluate_numexpr(op, op_str, a, b, reversed=False):
 
         a_value = getattr(a, "values", a)
         b_value = getattr(b, "values", b)
-        try:
-            result = ne.evaluate(
-                "a_value {op} b_value".format(op=op_str),
-                local_dict={"a_value": a_value, "b_value": b_value},
-                casting="safe",
-            )
-        except ValueError as detail:
-            if "unknown type object" in str(detail):
-                pass
+
+        result = ne.evaluate(
+            "a_value {op} b_value".format(op=op_str),
+            local_dict={"a_value": a_value, "b_value": b_value},
+            casting="safe",
+        )
 
     if _TEST_MODE:
         _store_test_result(result is not None)
@@ -140,21 +137,15 @@ def _where_numexpr(cond, a, b):
         a_value = getattr(a, "values", a)
         b_value = getattr(b, "values", b)
 
-        try:
-            result = ne.evaluate(
-                "where(cond_value, a_value, b_value)",
-                local_dict={
-                    "cond_value": cond_value,
-                    "a_value": a_value,
-                    "b_value": b_value,
-                },
-                casting="safe",
-            )
-        except ValueError as detail:
-            if "unknown type object" in str(detail):
-                pass
-        except Exception as detail:
-            raise TypeError(str(detail))
+        result = ne.evaluate(
+            "where(cond_value, a_value, b_value)",
+            local_dict={
+                "cond_value": cond_value,
+                "a_value": a_value,
+                "b_value": b_value,
+            },
+            casting="safe",
+        )
 
     if result is None:
         result = _where_standard(cond, a, b)
@@ -167,11 +158,10 @@ def _where_numexpr(cond, a, b):
 
 
 def _has_bool_dtype(x):
+    if isinstance(x, ABCDataFrame):
+        return "bool" in x.dtypes
     try:
-        if isinstance(x, ABCDataFrame):
-            return "bool" in x.dtypes
-        else:
-            return x.dtype == bool
+        return x.dtype == bool
     except AttributeError:
         return isinstance(x, (bool, np.bool_))