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is_list_like should return false for tuples #24702
Comments
By the way: clearly documenting, once and for all, what a "list-like" is in pandas is an essential part of the fix. |
Can I work on documentation part , or its totally internal ? |
Loosely related xref: #24688 It's maybe worth noting that my original plan for #23065 was to introduce a It may be worth revisiting that decision if people want to resolve the issue brought up in the OP. The question "what is list-like" could then have several answers (which may or may not be desirable). Examples:
Tagging participants of the discussion in #23065: |
Code Sample, a copy-pastable example if possible
Problem description
We discussed several times the fact that tuples in pandas should not be considered collections of things, but rather
MultiIndex
keys, orDataFrame
(simple way to discriminate: if you could easily add an element, it is a collection; if instead the number of elements is somewhat hardcoded, it is not).
It is perfectly natural, and would solve problems/hacks such as
32ee973#diff-1e79abbbdd150d4771b91ea60a4e1cc7R2701
#24697 (comment)
... and many others, to change the behavior of
is_list_like
, which is used in many places.See #23061 for a similar fix (although the similarity breaks whereas
set
s are intrinsically different from alist
, while fortuple
s it is a design decision).I do expect some tests to break, and I also expect that in some cases, we'll want to preserve backwards compatibility... but at least let's set a sane default.
Expected Output
False
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: 040f06f
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-8-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+1282.g040f06f73
pytest: 3.5.0
pip: 9.0.1
setuptools: 39.2.0
Cython: 0.28.4
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.post1634.dev0+ge8120cf6d
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml.etree: 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
gcsfs: None
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