add test for pandas-dev#9107

test to ensure OutOfBoundsDatetime exception is raised when calling
pd.to_datetime with out-of-bounds date strings

Author: mcortesdf

doc/source/whatsnew/v1.0.0.rst

@@ -118,7 +118,7 @@ Datetimelike
 - Bug in :meth:`pandas.core.groupby.SeriesGroupBy.nunique` where ``NaT`` values were interfering with the count of unique values (:issue:`27951`)
 - Bug in :class:`Timestamp` subtraction when subtracting a :class:`Timestamp` from a ``np.datetime64`` object incorrectly raising ``TypeError`` (:issue:`28286`)
 - Addition and subtraction of integer or integer-dtype arrays with :class:`Timestamp` will now raise ``NullFrequencyError`` instead of ``ValueError`` (:issue:`28268`)
--
+- New test to ensure OutOfBoundsDatetime exception is raised when calling :func:``pd.to_datetime`` with out-of-bounds date strings
 
 
 Timedelta

pandas/tests/indexes/datetimes/test_tools.py

@@ -1028,6 +1028,12 @@ def test_to_datetime_box_deprecated(self):
         result = pd.to_datetime(expected).to_datetime64()
         assert result == expected
 
+    @pytest.mark.parametrize("dt_str", ["00010101", "13000101", "30000101", "99990101"])
+    def test_old_date_out_of_bounds_exception(self, dt_str):
+        # GH 9107
+        with pytest.raises(OutOfBoundsDatetime):
+            pd.to_datetime(dt_str, format="%Y%m%d")
+
 
 class TestToDatetimeUnit:
     @pytest.mark.parametrize("cache", [True, False])