Closed renovate[bot] closed 2 years ago
JBGreisman
commented
2 years ago pandas 1.4.x implements a change to BaseMaskedArray._maybe_mask_result(). This change involved some hard-coded dtype conversions to IntegerArray and FloatingArray. For example, these lines result in the conversion of floating point MTZ data types to pandas values:
My change to this PR implements custom versions of these functions to preserve MTZ dtypes through operations.
codecov-commenter
commented
2 years ago Merging #127 (dbd04ff) into main (4c5b939) will decrease coverage by
0.05%. The diff coverage is88.88%.
@@ Coverage Diff @@
## main #127 +/- ##
==========================================
- Coverage 98.72% 98.67% -0.06%
==========================================
Files 41 41
Lines 1574 1583 +9
==========================================
+ Hits 1554 1562 +8
- Misses 20 21 +1 | Flag | Coverage Δ | |
|---|---|---|
| unittests | 98.67% <88.88%> (-0.06%) |
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| Impacted Files | Coverage Δ | |
|---|---|---|
| reciprocalspaceship/dtypes/base.py | 96.33% <88.88%> (-0.67%) |
:arrow_down: |
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This PR contains the following updates:
>=1.2.0, <=1.3.5->>=1.2.0, <=1.4.1Release Notes
pandas-dev/pandas
### [`v1.4.1`](https://togithub.com/pandas-dev/pandas/releases/v1.4.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.4.0...v1.4.1) This is the first patch release in the 1.4.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.4.1/whatsnew/v1.4.1.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). ### [`v1.4.0`](https://togithub.com/pandas-dev/pandas/releases/v1.4.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.3.5...v1.4.0) This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.4.0/whatsnew/v1.4.0.html) for a list of all the changes. pandas 1.4.0 supports Python 3.8 and higher. The release will be available on the defaults and conda-forge channels: conda install -c conda-forge pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues).Configuration
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