Asymmetric behavior between index and columns when getting incomplete label
See original GitHub issueCode Sample, a copy-pastable example if possible
In [2]: df = pd.DataFrame([[1,2], [3,4]], index=pd.MultiIndex.from_tuples([['a', 'b'], ['c', '']]))
In [3]: df.loc['c'].shape
Out[3]: (1, 2)
In [4]: df.transpose().loc[:, 'c'].shape
Out[4]: (2,)
Problem description
Maybe the “fill an incomplete key with empty string(s)” rule is not implemented at all for rows? (also in light of #17024 ) If this the case, then I think it should be.
Expected Output
The same as Out[4]
but reversed.
Output of pd.show_versions()
INSTALLED VERSIONS
------------------
commit: 9e7666dae3b3b10d987ce154a51c78bcee6e0728
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-3-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.21.0.dev+265.g9e7666dae pytest: 3.0.6 pip: 9.0.1 setuptools: None Cython: 0.25.2 numpy: 1.12.1 scipy: 0.19.0 xarray: None IPython: 5.1.0.dev sphinx: 1.5.6 patsy: 0.4.1 dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: 1.2.1 tables: 3.3.0 numexpr: 2.6.1 feather: 0.3.1 matplotlib: 2.0.2 openpyxl: None xlrd: 1.0.0 xlwt: 1.1.2 xlsxwriter: 0.9.6 lxml: None bs4: 4.5.3 html5lib: 0.999999999 sqlalchemy: 1.0.15 pymysql: None psycopg2: None jinja2: 2.9.6 s3fs: None pandas_gbq: None pandas_datareader: 0.2.1
Issue Analytics
- State:
- Created 6 years ago
- Comments:6 (6 by maintainers)
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Top GitHub Comments
Sure, our basic behavior is that indexing operations that are “slice-like” (e.g. selecting an entire level) on a
MultiIndex
return back aDataFrame
. Couple examples:But, as an undocumented “convenience” feature (linked issue), if the selection is on the columns, and all deeper levels are labeled with empty strings, the selection collapses into a
Series
- this collapsing doesn’t happen with a row selection (this issue)My example was maybe a bit cryptic, sorry. The thing is that a shape
(1,2)
when transposed gives(2,1)
, not(2,)
.