xinrong-meng commented on code in PR #47965:
URL: https://github.com/apache/spark/pull/47965#discussion_r1749495793
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.github/workflows/build_and_test.yml:
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@@ -723,7 +723,7 @@ jobs:
# See 'ipython_genutils' in SPARK-38517
# See 'docutils<0.18.0' in SPARK-39421
python3.9 -m pip install 'sphinx==4.5.0' mkdocs
'pydata_sphinx_theme>=0.13' sphinx-copybutton nbsphinx numpydoc jinja2
markupsafe 'pyzmq<24.0.0' \
- ipython ipython_genutils sphinx_plotly_directive 'numpy>=1.20.0'
pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
+ ipython ipython_genutils sphinx_plotly_directive 'numpy==1.26.4'
pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
Review Comment:
Thanks for sharing!
Also pandas only provides a minimum supported version of NumPy
([here](https://pandas.pydata.org/docs/getting_started/install.html#required-dependencies)),
similar to what we did, rather than a “recommended” version.
It’s surprising to see such changes in return results across supported NumPy
versions.
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