HyukjinKwon commented on a change in pull request #32657:
URL: https://github.com/apache/spark/pull/32657#discussion_r639314873
##########
File path: python/pyspark/pandas/tests/test_stats.py
##########
@@ -375,14 +375,15 @@ def
test_stats_on_non_numeric_columns_should_be_discarded_if_numeric_only_is_tru
self.assert_eq(len(psdf.kurtosis(numeric_only=True)),
len(pdf.kurtosis(numeric_only=True)))
self.assert_eq(len(psdf.skew(numeric_only=True)),
len(pdf.skew(numeric_only=True)))
- self.assert_eq(
- len(psdf.quantile(q=0.5, numeric_only=True)),
- len(pdf.quantile(q=0.5, numeric_only=True)),
- )
- self.assert_eq(
- len(psdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
- len(pdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
- )
+ # TODO(SPARK-35510): This fails with Python 3.9. We should fix and
reenable it.
+ # self.assert_eq(
+ # len(psdf.quantile(q=0.5, numeric_only=True)),
+ # len(pdf.quantile(q=0.5, numeric_only=True)),
+ # )
+ # self.assert_eq(
+ # len(psdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
+ # len(pdf.quantile(q=[0.25, 0.5, 0.75], numeric_only=True)),
+ # )
Review comment:
Oh, this test was added after we tested with Python 3.9 (as part of
pandas-on-Spark).
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