Pandas Sort broken after unique -> Series

I see #1807 issue reoccurring in my setup:

>>> Series(Series([1,3,4]).unique())
0    1
1    3
2    4
dtype: int64

And this doesn't return anything:

>>> Series(Series([1,3,4]).unique()).sort() 

INSTALLED VERSIONS

commit: None python: 2.7.5.final.0 python-bits: 64 OS: Linux OS-release: 3.14.4-200.fc20.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8

pandas: 0.16.1-13-gf6c7d89 nose: 1.3.0 Cython: 0.21.1 numpy: 1.8.2 scipy: 0.12.1 statsmodels: None IPython: 0.13.2 sphinx: None patsy: None dateutil: 1.5 pytz: 2012d bottleneck: None tables: 3.0.0 numexpr: 2.2.2 matplotlib: 1.3.1 openpyxl: None xlrd: 0.9.3 xlwt: None xlsxwriter: 0.7.2 lxml: None bs4: 4.3.2 html5lib: 0.999 httplib2: None apiclient: None sqlalchemy: None pymysql: None psycopg2: 2.5.1 (dt dec pq3 ext

Comment From: arcolife

+1 same here..

Comment From: jorisvandenbossche

sort is by default inplace, so no return value is to be expected

Comment From: jorisvandenbossche

In [7]: Series(Series([1,3,4]).unique()).sort(inplace=False)
Out[7]:
0    1
1    3
2    4
dtype: int64

See http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sort.html#pandas.Series.sort

Comment From: anushshetty

@jorisvandenbossche Then, should the test case be updated here: https://github.com/pydata/pandas/commit/dbfdb073030a8ef868bcd5583433136c555c153f#diff-933180870dd152b775952fc54a99dba7R3100 ?

Comment From: jorisvandenbossche

I don't have such an old pandas to test, but maybe it raised an error? (so the test just checks it does not generate an error, it indeed does not check if the result is correct)

Comment From: jreback

this is just testing an older guarantee that function doesn't raise. This is a simplistic regression test.