pd.DataFrame.dot does not work when column index is set
From the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dot.html) we see that the following code is just fine:
```python
df = pd.DataFrame([[0, 1, -2, -1], [1, 1, 1, 1]])
s = pd.Series([1, 1, 2, 1])
df.dot(s)
```
and will return
```python
pd.Series([-4,5])
```

Inconsistently, the same code fails, when one adds column labels to the first dataframe like such
```python
df = pd.DataFrame([[0, 1, -2, -1], [1, 1, 1, 1]], columns=['1','2', '3', '4'])
```

#### Expected Output

As seen above
```python
pd.Series([-4,5])
```

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.8.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: de_DE.UTF-8
LOCALE: None.None

pandas: 0.23.4
pytest: 4.1.1
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.3.0
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.16
pymysql: None
psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
