read_excel and read_csv doesn't read the entire file (3121/5063 rows)
#### Code Sample, a copy-pastable example if possible

```python
ML_df = pd.read_excel('gex-globalexplorer-ML_df.xlsx',error_bad_lines=False)
ML_df = pd.read_table('gex-globalexplorer-ML_df.csv', error_bad_lines=False)

```

[gex-globalexplorer-ML_df.xlsx](https://github.com/pandas-dev/pandas/files/2753283/gex-globalexplorer-ML_df.xlsx)


[gex-globalexplorer-ML_df.csv.txt](https://github.com/pandas-dev/pandas/files/2753286/gex-globalexplorer-ML_df.csv.txt)

#### Problem description

read_excel and read_csv doesn't read the entire file (3121/5063 rows). 

#### Expected Output

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

<details>

[paste the output of ``pd.show_versions()`` here below this line]INSTALLED VERSIONS
------------------
commit: None
python: 3.6.7.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: en_US_UTF-8
LANG: en_US.UTF-8
LOCALE: None.None

pandas: 0.23.4
pytest: 4.0.2
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: 2.6.1
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: None
pandas_gbq: None
pandas_datareader: [None]

</details>

