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Multiindex.fillna() throws NotImplementedError but docs indicate it should work #18018
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very odd that the doc is showing up at all. Its simply not defined (though it is in a super-class), so maybe bleeding thru somehow. |
It is defined, but it just raises We could override the docstring saying it's not implemented, but that's just a short term fix. I'm going to spend some time on our docs over the next couple weeks, so I hope to fix it properly then. |
Yes, this is completely expected. @robbuckley a short term fix of updating the MultiIndex.fillna docstring is still welcome if you want to do a PR! |
@jorisvandenbossche plz see #18209 |
This reverts commit 9885d49.
…ev#18269) ENH: gb.is_monotonic_increasing pandas-dev#17015 fix rebase conflicts parametrized tests for gb.is_monotonic_increasing/decreasing ENH: gb.is_monotonic_increasing, is_monotonic_decreasing pandas-dev#17015 added tests for gb.is_monotonically_increasing()/decreasing parametrized tests for gb.is_monotonic_increasing/decreasing ENH: gb.is_monotonic_increasing pandas-dev#17015 fix rebase conflicts ENH: gb.is_monotonic_increasing pandas-dev#17015 fix rebase conflicts rebase and cleanup simplified test format fixed whatsnew to include method tags
Code Sample, a copy-pastable example if possible
Problem description
Error trace:
docs seem to state it should work: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.MultiIndex.fillna.html
I am running v20.3 (anaconda doesnt seem to have 21.0 yet). But i've checked code and docs from both v21.0 and master and it seems to be the same
Expected Output
array([('a', 1.0), ('b', 999)], dtype=object)
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.3.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.20.3
pytest: 3.2.1
pip: 9.0.1
setuptools: 36.5.0.post20170921
Cython: 0.26.1
numpy: 1.13.3
scipy: 0.19.1
xarray: 0.9.6
IPython: 6.1.0
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.2
feather: None
matplotlib: 2.1.0
openpyxl: 2.4.8
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.0
bs4: 4.6.0
html5lib: 0.999999999
sqlalchemy: 1.1.13
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None
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