BUG: pd.DataFrame/Series shows duplicate rows
#### Code Sample, a copy-pastable example if possible

```python
pd.DataFrame([['0.14145001', '59.47703987'],['0.14150000', '1.13963569']])
```
```
..         ...          ...
             0            1
0   0.14145001  59.47703987
1   0.14150000   1.13963569
[2 rows x 2 columns]

```
So far so good.

```python
pd.DataFrame([['0.14145001', '59.47703987'],['0.14150000', '1.13963569'],['a','b']])
```
```
..         ...          ...
             0            1
0   0.14145001  59.47703987
1   0.14150000   1.13963569
1   0.14150000   1.13963569
2            a            b
[3 rows x 2 columns]

```
Row 1 is displayed twice! It gets worse if you add more lists.
#### Problem description

When I put in 3 lists, I expect to see 3 lists.

#### Expected Output
```
..         ...          ...
             0            1
0   0.14145001  59.47703987
1   0.14150000   1.13963569
2            a            b
```

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

<details>
# Paste the output here pd.show_versions() here
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Darwin
OS-release: 15.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.20.2
pytest: None
pip: 9.0.1
setuptools: 36.0.1
Cython: None
numpy: 1.13.0
scipy: None
xarray: None
IPython: 6.1.0
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2017.2
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: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None
</details>
