Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
>>> import pandas as pd
>>> pd.__version__
'1.1.0'
>>> sr = pd.Series(['a',None,'c',None,'e'])
>>> sr.sort_values()
0 a
2 c
4 e
1 None
3 None
dtype: object
>>> idx = pd.Index(['a',None,'c',None,'e'])
>>> idx
Index(['a', None, 'c', None, 'e'], dtype='object')
>>> idx.sort_values()
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4448, in sort_values
_as = idx.argsort()
File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4563, in argsort
return result.argsort(*args, **kwargs)
TypeError: '<' not supported between instances of 'NoneType' and 'str'Problem description
Index.sort_values() fails when there are None values in it. However Series.sort_values performs sorting as expected in similar scenario.
Expected Output
We should be able to sort the values of an index similar to that of a series when there are None values.
Output of pd.show_versions()
INSTALLED VERSIONS
commit : d9fff27
python : 3.7.3.final.0
python-bits : 64
OS : Darwin
OS-release : 19.6.0
Version : Darwin Kernel Version 19.6.0: Sun Jul 5 00:43:10 PDT 2020; root:xnu-6153.141.1~9/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 1.1.0
numpy : 1.19.0
pytz : 2020.1
dateutil : 2.8.1
pip : 20.1.1
setuptools : 49.1.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None