DataFrame rows printed incorrectly as ... (ellipsis) in v0.23
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
pd.show_versions()
pd.set_option('display.width', 10000)
pd.set_option('display.max_colwidth', 10000)
d = [['CC1(C(N2C(S1)C(C2=O)NC(=O)CC3=CC=CC=C3)C(=O)O)C', 'Penicilline G'],
     ['CC1(C2CC3C(C(=O)C(=C(C3(C(=O)C2=C(C4=C1C=CC=C4O)O)O)O)C(=O)N)N(C)C)O',
      'Tetracycline'], ['CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=CC=C3)N)C(=O)O)C', 'Ampicilline']]
antibiotics = pd.DataFrame(d, columns=['Smiles', 'Name'])
print('1---------------------')
print(antibiotics)
antibiotics2 = pd.DataFrame([(y, x) for x, y in d], columns=['Name', 'Smiles'])
print('2---------------------')
print(antibiotics2)
```
#### Problem description

Here's the output with v0.23:
```
glandrum@otter:/scratch/RDKit_git/rdkit/Chem$ python ~/foo.py

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-22-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.0
pytest: 3.3.2
pip: 9.0.1
setuptools: 38.4.0
Cython: 0.27.3
numpy: 1.14.0
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.2.2
openpyxl: 2.4.10
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.1
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
1---------------------
                                                                 Smiles           Name
0                       CC1(C(N2C(S1)C(C2=O)NC(=O)CC3=CC=CC=C3)C(=O)O)C  Penicilline G
1  CC1(C2CC3C(C(=O)C(=C(C3(C(=O)C2=C(C4=C1C=CC=C4O)O)O)O)C(=O)N)N(C)C)O   Tetracycline
2                    CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=CC=C3)N)C(=O)O)C    Ampicilline
2---------------------
  ...
0 ...
1 ...
2 ...

[3 rows x 2 columns]
```
I believe that, since I am setting `display.width` and `dispaly.max_colwidth` I should not be seeing ellipsis under any circumstances (I did not with v0.22, see below). 

Additionally: it doesn't seem like the column order should make any difference.

#### Expected Output

Here's what I get with Pandas v0.22:
```
(py36_rdkit) glandrum@otter:/scratch/RDKit_git/rdkit/Chem$ python ~/foo.py

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-22-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.22.0
pytest: None
pip: 10.0.1
setuptools: 39.2.0
Cython: None
numpy: 1.14.3
scipy: None
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
1---------------------
                                                                 Smiles           Name
0                       CC1(C(N2C(S1)C(C2=O)NC(=O)CC3=CC=CC=C3)C(=O)O)C  Penicilline G
1  CC1(C2CC3C(C(=O)C(=C(C3(C(=O)C2=C(C4=C1C=CC=C4O)O)O)O)C(=O)N)N(C)C)O   Tetracycline
2                    CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=CC=C3)N)C(=O)O)C    Ampicilline
2---------------------
            Name                                                                Smiles
0  Penicilline G                       CC1(C(N2C(S1)C(C2=O)NC(=O)CC3=CC=CC=C3)C(=O)O)C
1   Tetracycline  CC1(C2CC3C(C(=O)C(=C(C3(C(=O)C2=C(C4=C1C=CC=C4O)O)O)O)C(=O)N)N(C)C)O
2    Ampicilline                    CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=CC=C3)N)C(=O)O)C
```

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

<details>
see above
</details>
