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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/09/22 01:29:35 UTC

[GitHub] [spark] Yikun commented on pull request #37955: [SPARK-40512][PS][INFRA] Upgrade pandas to 1.5.0

Yikun commented on PR #37955:
URL: https://github.com/apache/spark/pull/37955#issuecomment-1254396596

   Generally speaking almost each pandas upgrade will cause CI to fail, for the stability of CI, our strategy was using `<=` to pin specific version, and upgrade to specific version manually.
   
   @itholic FYI, these two testcase are failed due to:
   - python/pyspark/pandas/tests/indexes/test_category.py.test_append: https://github.com/pandas-dev/pandas/commit/c7b470c3e13f99ce990e23b2a311d3a2c633499c
   - python/pyspark/pandas/tests/indexes/test_base.py.test_to_frame: https://github.com/pandas-dev/pandas/commit/7dbfe9f95a31aa01dc8288350e785f04a2abf6f0
   
   not having a more deep look, you could do more invistigation and fix or fix test, just like SPARK-38819.


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