BUG: pandas.to_datetime raises exception when more than 50 values needs coercion to NaT (pandas-dev#43732)

Raise proper error from objects_to_datetime64ns

Co-authored-by: André Elimelek de Weber (andrekwr) <[email protected]>
Co-authored-by: Henry Rocha (HenryRocha) <[email protected]>

Author: 3 people

pandas/core/arrays/datetimes.py

@@ -2188,15 +2188,15 @@ def objects_to_datetime64ns(
             allow_mixed=allow_mixed,
         )
         result = result.reshape(data.shape, order=order)
-    except ValueError as err:
+    except ValueError as err1:
         try:
             values, tz_parsed = conversion.datetime_to_datetime64(data.ravel("K"))
             # If tzaware, these values represent unix timestamps, so we
             #  return them as i8 to distinguish from wall times
             values = values.reshape(data.shape, order=order)
             return values.view("i8"), tz_parsed
-        except (ValueError, TypeError):
-            raise err
+        except (ValueError, TypeError) as err2:
+            raise err2 from err1
 
     if tz_parsed is not None:
         # We can take a shortcut since the datetime64 numpy array