HyukjinKwon commented on code in PR #41211:
URL: https://github.com/apache/spark/pull/41211#discussion_r1197552394
##########
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:
Yeah, because we depend on calling pandas right away in several API in
pandas API on Spark. For example, this one
https://github.com/apache/spark/pull/40658/files#diff-3d6777133e0de63c6dd3761a15d631d0c6520b918babf74522b0d95580954e72L908
```diff
>>> ser.rename("a").to_frame().set_index("a").index.astype('int64')
- Int64Index([1, 2], dtype='int64', name='a')
+ Index([1, 2], dtype='int64', name='a')
```
Pandas returns a `Index` instead instead of `Int64Index` (see also
https://pandas.pydata.org/docs/dev/whatsnew/v2.0.0.html#index-can-now-hold-numpy-numeric-dtypes).
There is no `Int64Index` instance anymore in pandas.
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