Original:
In [45]: a
Out[45]:
commits
-1 -3 -2
auth_date
2013-01-04 42217.0 19804.0 37007.0
2013-01-05 44793.0 37007.0 42217.0
In [46]: a.sort_index(axis=1)
Out[46]:
commits
-1 -3 -2
auth_date
2013-01-04 42217.0 19804.0 37007.0
2013-01-05 44793.0 37007.0 42217.0
In [47]: a.sort_index(axis=1, level=1)
Out[47]:
commits
-1 -3 -2
auth_date
2013-01-04 42217.0 19804.0 37007.0
2013-01-05 44793.0 37007.0 42217.0
In [48]: a.sort_index(axis=1, ascending=False)
Out[48]:
commits
-2 -3 -1
auth_date
2013-01-04 37007.0 19804.0 42217.0
2013-01-05 42217.0 37007.0 44793.0
However I couldn't clearly recreate with a copy-pastable version:
In [49]: print a.to_dict()
{('commits', -3): {Timestamp('2013-01-05 00:00:00', freq='D'): 37007.0, Timestamp('2013-01-04 00:00:00', freq='D'): 19804.0}, ('commits', -1): {Timestamp('2013-01-05 00:00:00', freq='D'): 44793.0, Timestamp('2013-01-04 00:00:00', freq='D'): 42217.0}, ('commits', -2): {Timestamp('2013-01-05 00:00:00', freq='D'): 42217.0, Timestamp('2013-01-04 00:00:00', freq='D'): 37007.0}}
In [50]: from pandas import Timestamp, DataFrame
In [51]: b = DataFrame({('commits', -3): {Timestamp('2013-01-05 00:00:00', freq='D'): 37007.0, Timestamp('2013-01-04 00:00:00', freq='D'): 19804.0}, ('commits', -1): {Timestamp('2013-01-05 00:00:00', fr
...: eq='D'): 44793.0, Timestamp('2013-01-04 00:00:00', freq='D'): 42217.0}, ('commits', -2): {Timestamp('2013-01-05 00:00:00', freq='D'): 42217.0, Timestamp('2013-01-04 00:00:00', freq='D'): 37007.
...: 0}})
In [52]: b
Out[52]:
commits
-3 -2 -1
2013-01-04 19804.0 37007.0 42217.0
2013-01-05 37007.0 42217.0 44793.0
In [54]: b.sort_index(axis=1, ascending=False)
Out[54]:
commits
-1 -2 -3
2013-01-04 42217.0 37007.0 19804.0
2013-01-05 44793.0 42217.0 37007.0
Problem description
Well, I expected sorting of the MultiIndex columns.
Output of pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.13.final.0
python-bits: 64
OS: Darwin
OS-release: 16.3.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: None.None
pandas: 0.19.2
nose: 1.3.7
pip: 9.0.1
setuptools: 28.6.1
Cython: 0.25.2
numpy: 1.11.3
scipy: 0.18.1
statsmodels: 0.6.1
xarray: 0.9.1
IPython: 5.1.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: 1.2.0
tables: 3.3.0
numexpr: 2.6.1
matplotlib: 2.0.0
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.2
bs4: 4.5.3
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.5
pymysql: None
psycopg2: 2.6.2 (dt dec pq3 ext lo64)
jinja2: 2.9.4
boto: 2.45.0
pandas_datareader: None
Comment From: jorisvandenbossche
Can you show the output of a.columns? I suspect this is due to the order of the labels in the levels (and sort_index uses that to sort)
Comment From: ohadle
Looks like it.
In [16]: a.columns
Out[16]:
MultiIndex(levels=[[u'commits'], [-1, -3, -2]],
labels=[[0, 0, 0], [0, 1, 2]])
Comment From: jorisvandenbossche
Indeed. We have already a few issues about this, and we should discuss more what we want to do with this (because this can be really confusing / unexpected).
Some discussion is here: https://github.com/pandas-dev/pandas/issues/14015, https://github.com/pandas-dev/pandas/issues/13431, https://github.com/pandas-dev/pandas/issues/14672