bjornjorgensen commented on code in PR #41211:
URL: https://github.com/apache/spark/pull/41211#discussion_r1198937746
##########
python/pyspark/pandas/tests/data_type_ops/test_date_ops.py:
##########
@@ -61,6 +63,10 @@ def test_add(self):
for psser in self.pssers:
self.assertRaises(TypeError, lambda: self.psser + psser)
+ @unittest.skipIf(
+ LooseVersion(pd.__version__) >= LooseVersion("2.0.0"),
+ "TODO(SPARK-43571): Enable DateOpsTests.test_sub for pandas 2.0.0.",
+ )
Review Comment:
eh I'm a bit puzzled and wonder if there is a misunderstanding of the
language here.
"There should be no behavior changes unless it is a major release" where
does this come from?
What @gatorsmile said was "we should not remove these API before the major
release Spark 4.0"
did he mean that functions that are well-functioning but have been removed
in pandas version 2.0 should not be removed? He has also written this under the
def append which was meant to be removed in your previous PR.
The whole point of the pandas API on spark is that it should be as similar
as possible to pandas and then there must also be some behavior changes,
because it has happened in pandas.
Are there any other ways than one person having to fix everything in one and
the same PR? e.g. that you mark all tests that fail with @skiptest and you also
create a JIRA for that. Also, can more people help upgrade the pandas API to
version 2.0?
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