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It makes a lot of sense to not lower dimensionality when an axis is non-unique (see #9519 ), but as of now the general rule (on Series, and on DataFrame with flat columns) is "if the specific label is not repeated, lower dimensionality", so the fact that MultiIndex is behaving differently is problematic.
This said, I'm not claiming this is worth fixing: my favourite solution - although more disruptive - is to fix #9519.
Expected Output
Ideally, always DataFrame (except for unique), but as of now, always Series.
Code Sample, a copy-pastable example if possible
Problem description
It makes a lot of sense to not lower dimensionality when an axis is non-unique (see #9519 ), but as of now the general rule (on
Series
, and onDataFrame
with flatcolumns
) is "if the specific label is not repeated, lower dimensionality", so the fact thatMultiIndex
is behaving differently is problematic.This said, I'm not claiming this is worth fixing: my favourite solution - although more disruptive - is to fix #9519.
Expected Output
Ideally, always
DataFrame
(except forunique
), but as of now, alwaysSeries
.Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-6-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.24.0.dev0+51.g4274b840e
pytest: 3.5.0
pip: 9.0.1
setuptools: 39.2.0
Cython: 0.25.2
numpy: 1.14.3
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.2.2.post1153+gff6786446
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1
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