Moved type conversion within add and radd if statement, removed datearray and timedelta catch

Author: eicchen

pandas/core/arrays/arrow/array.py

@@ -890,16 +890,21 @@ def _op_method_error_message(self, other, op) -> str:
     def _evaluate_op_method(self, other, op, arrow_funcs) -> Self:
         pa_type = self._pa_array.type
         other_original = other
-        other_NA = self._box_pa(other)
-        # pyarrow gets upset if you try to join a NullArray
-        other = other_NA.cast(pa_type)
+        other = self._box_pa(other)
 
         if (
             pa.types.is_string(pa_type)
             or pa.types.is_large_string(pa_type)
             or pa.types.is_binary(pa_type)
         ):
             if op in [operator.add, roperator.radd]:
+                # pyarrow gets upset if you try to join a NullArray
+                if (
+                    pa.types.is_integer(other.type)
+                    or pa.types.is_floating(other.type)
+                    or pa.types.is_null(other.type)
+                ):
+                    other = other.cast(pa_type)
                 sep = pa.scalar("", type=pa_type)
                 try:
                     if op is operator.add:
@@ -913,7 +918,7 @@ def _evaluate_op_method(self, other, op, arrow_funcs) -> Self:
                 return self._from_pyarrow_array(result)
             elif op in [operator.mul, roperator.rmul]:
                 binary = self._pa_array
-                integral = other_NA
+                integral = other
                 if not pa.types.is_integer(integral.type):
                     raise TypeError("Can only string multiply by an integer.")
                 pa_integral = pc.if_else(pc.less(integral, 0), 0, integral)

pandas/core/frame.py

@@ -8470,10 +8470,7 @@ def _maybe_align_series_as_frame(self, series: Series, axis: AxisInt):
         rvalues = series._values
         if isinstance(rvalues, PeriodArray):
             return series
-        if not isinstance(rvalues, np.ndarray) and rvalues.dtype not in (
-            "datetime64[ns]",
-            "timedelta64[ns]",
-        ):
+        if not isinstance(rvalues, np.ndarray):
             if axis == 0:
                 df = DataFrame(dict.fromkeys(range(self.shape[1]), rvalues))
             else: