gaogaotiantian commented on code in PR #54146:
URL: https://github.com/apache/spark/pull/54146#discussion_r2766275059
##########
python/pyspark/pandas/tests/data_type_ops/testing_utils.py:
##########
@@ -219,3 +220,6 @@ def check_extension(self, left, right):
pandas versions. Please refer to
https://github.com/pandas-dev/pandas/issues/39410.
"""
self.assert_eq(left, right)
+
+ def ignore_null(self, col):
+ return LooseVersion(pd.__version__) >= LooseVersion("3.0") and col ==
"decimal_nan"
Review Comment:
Is `decimal_nan` the only case where this happens? I think we can have this
matter any time we do some calculation that results in a null-like value.
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