read_csv from HTTPs + basic-auth + custom port throws an error (urlopen error)

Code Sample, a copy-pastable example if possible

import pandas as pd
df = pd.read_csv('https://user-name:[e-mail]:8080/get_content.csv')
# fails with urlopen error [Errno 11003] getaddrinfo failed Python2.7 as well as Python 3.x

Problem description

HTTPS basic auth is very common. This URL format works in Excel, other text editors, etc. This url works in requests library. It seems like the scenario doesnt work because the underlying urlopen doesnt work

# I think it fails because the underlying code here fails in pandas/io/common.py:
from urllib2 import urlopen as _urlopen
b = _urlopen('https://un-name:[e-mail]:8080/get_content.csv')
# fails with urlopen error [Errno 11003] getaddrinfo failed

see stackoverflow issue urllib basic auth Only way to overcome this is using requests + StringIO ?

Expected Output

be able to get a CSV loaded dataframe

Output of pd.show_versions()

python: 2.7.13.final.0 python-bits: 64 pandas: 0.20.1

[TomAugspurger]

Why can’t we use requests ?

This alone isn’t worth adding it as a dependency I think.

[ron819]

There is also same request for read_json https://github.com/pandas-dev/pandas/issues/10526