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Correct type inference for UInt64Index during access #29420
Correct type inference for UInt64Index during access #29420
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pandas/tests/indexes/test_numeric.py
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def test_uint64_keys_in_list(): | ||
# https://github.com/pandas-dev/pandas/issues/28023 | ||
bug = pd.Series( |
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Could both these test functions be combined into 1 func? Seem very similar
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They are indeed similar. I'll wait for a few more comments to decide on this.
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yea pls do we prefer parametized tests as much as possible
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Revisiting the issues, I realized one of the tests would be redundant and removed that.
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Revisiting the issues, I realized one of the tests would be redundant and removed that.
How come? - it seems that test case was exactly covering issue #28023
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I would just use https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.testing.assert_index_equal.html
Hope that helps
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#28023 reports a KeyError
. If https://github.com/pandas-dev/pandas/pull/29420/files#diff-7c97f2c17a9193409668a6f698905c73R1206 holds, KeyError won't be raised, I think
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About the test function... Now that I'm rooting for a single test, I'll leave it as isinstance
since I think the intention of test is clearer this way.
Thanks for the PR! |
Test failures related to #29432 |
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assert isinstance( | ||
bug.loc[[7606741985629028552, 17876870360202815256]].index, UInt64Index | ||
) |
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Can you explicitly construct the expected index and use tm.assert_index_equal
to verify they're the same:
result = s.loc[[7606741985629028552, 17876870360202815256]].index
expected = UInt64Index([7606741985629028552, 17876870360202815256])
tm.assert_index_equal(result, expected)
I'd rather not do a simple isinstance
check here because it doesn't guard against potential precision loss with the values in the index, e.g. if someone makes a change where there's an intermediate coercion to Float64Index
:
In [2]: idx = pd.UInt64Index([2**53, 2**53 + 1])
In [3]: idx
Out[3]: UInt64Index([9007199254740992, 9007199254740993], dtype='uint64')
In [4]: pd.UInt64Index(pd.Float64Index(idx))
Out[4]: UInt64Index([9007199254740992, 9007199254740992], dtype='uint64')
Hello @oguzhanogreden! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found: There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2019-11-23 15:22:46 UTC |
This will fail due to #29526. |
Between two laptops and a rebase, git happened again. Sorry for the spam! |
@jschendel here you suggested that the What's New entry goes under |
The "Indexing" section is generally for operations that have to do with selecting data with an index, e.g. |
thanks for the patch @oguzhanogreden |
…ndexing-1row-df * upstream/master: (32 commits) DEPR: Series.cat.categorical (pandas-dev#29914) DEPR: infer_dtype default for skipna is now True (pandas-dev#29876) Fix broken asv (pandas-dev#29906) DEPR: Remove weekday_name (pandas-dev#29831) Fix mypy errors for pandas\tests\series\test_operators.py (pandas-dev#29826) CI: Setting path only once in GitHub Actions (pandas-dev#29867) DEPR: passing td64 data to DTA or dt64 data to TDA (pandas-dev#29794) CLN: remove unsupported sparse code from io.pytables (pandas-dev#29863) x.__class__ TO type(x) (pandas-dev#29889) DEPR: ftype, ftypes (pandas-dev#29895) REF: use named funcs instead of lambdas (pandas-dev#29841) Correct type inference for UInt64Index during access (pandas-dev#29420) CLN: follow-up to 29725 (pandas-dev#29890) CLN: trim unnecessary code in indexing tests (pandas-dev#29845) TST added test for groupby agg on mulitlevel column (pandas-dev#29772) (pandas-dev#29866) mypy fix (pandas-dev#29891) Typing annotations (pandas-dev#29850) Fix mypy error in pandas/tests.indexes.test_base.py (pandas-dev#29188) CLN: remove never-used kwargs, make kwargs explicit (pandas-dev#29873) TYP: Added typing to __eq__ functions (pandas-dev#29818) ...
black pandas
git diff upstream/master -u -- "*.py" | flake8 --diff