DataFrame(Timestamp) add Timedelta fails

[holymonson]

Code Sample, a copy-pastable example if possible

pd.DataFrame([pd.Timestamp('2018')]) + pd.Timedelta('1d')
# Traceback (most recent call last):
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1355, in eval
#     transf(values), other)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 2723, in _try_coerce_args
#     raise TypeError
# TypeError

# During handling of the above exception, another exception occurred:

# Traceback (most recent call last):
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/ops.py", line 1497, in na_op
#     result = expressions.evaluate(op, str_rep, x, y, **eval_kwargs)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/computation/expressions.py", line 205, in evaluate
#     return _evaluate(op, op_str, a, b, **eval_kwargs)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/computation/expressions.py", line 65, in _evaluate_standard
#     return op(a, b)
# TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'Timedelta'

# During handling of the above exception, another exception occurred:

# Traceback (most recent call last):
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1415, in eval
#     result = get_result(other)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1383, in get_result
#     result = func(values, other)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/ops.py", line 1525, in na_op
#     result[mask] = op(xrav, y)
# TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'Timedelta'

# During handling of the above exception, another exception occurred:

# Traceback (most recent call last):
#   File "<stdin>", line 1, in <module>
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/ops.py", line 1559, in f
#     return self._combine_const(other, na_op, try_cast=True)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/frame.py", line 4779, in _combine_const
#     try_cast=try_cast)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 3687, in eval
#     return self.apply('eval', **kwargs)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 3581, in apply
#     applied = getattr(b, f)(**kwargs)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1360, in eval
#     try_cast=try_cast, mgr=mgr)
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1422, in eval
#     result = handle_error()
#   File "/usr/local/lib/python3.6/site-packages/pandas/core/internals.py", line 1405, in handle_error
#     '{detail!s}'.format(other=other, detail=detail))  # noqa
# TypeError: Could not operate Timedelta('1 days 00:00:00') with block values unsupported operand type(s) for +: 'numpy.ndarray' and 'Timedelta'

Problem description

Similar to #21610, but it's easier to fix, because Timedelta is a fixed offset.

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS

commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: zh_CN.UTF-8
LOCALE: zh_CN.UTF-8

pandas: 0.23.3
pytest: 3.6.3
pip: 10.0.1
setuptools: 39.2.0
Cython: 0.28.4
numpy: 1.14.5
scipy: 1.1.0
pyarrow: 0.9.0.post1
xarray: None
IPython: None
sphinx: 1.6.2
patsy: None
dateutil: 2.7.2
pytz: 2018.4
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.4
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: 3.8.0
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None