BUG: fix to_numeric raises TypeError for Timedelta and Timestamp scalar

Author: yuanx749

pandas/core/tools/numeric.py

@@ -11,6 +11,10 @@
     lib,
     missing as libmissing,
 )
+from pandas._libs.tslibs import (
+    Timedelta,
+    Timestamp,
+)
 from pandas.util._validators import check_dtype_backend
 
 from pandas.core.dtypes.cast import maybe_downcast_numeric
@@ -189,6 +193,8 @@ def to_numeric(
             return float(arg)
         if is_number(arg):
             return arg
+        if isinstance(arg, (Timedelta, Timestamp)):
+            return arg._value
         is_scalars = True
         values = np.array([arg], dtype="O")
     elif getattr(arg, "ndim", 1) > 1:

pandas/tests/tools/test_to_numeric.py

@@ -384,6 +384,21 @@ def test_timedelta(transform_assert_equal):
     assert_equal(result, expected)
 
 
+@pytest.mark.parametrize(
+    "scalar",
+    [
+        pd.Timedelta(1, "D"),
+        pd.Timestamp("2017-01-01T12"),
+        pd.Timestamp("2017-01-01T12", tz="US/Pacific"),
+    ],
+)
+def test_timedelta_timestamp_scalar(scalar):
+    # GH#59944
+    result = to_numeric(scalar)
+    expected = to_numeric(Series(scalar))[0]
+    assert result == expected
+
+
 def test_period(request, transform_assert_equal):
     transform, assert_equal = transform_assert_equal