[ https://issues.apache.org/jira/browse/SPARK-36035?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-36035: ------------------------------------ Assignee: Xinrong Meng > Adjust `test_astype`, `test_neg` for old pandas versions > -------------------------------------------------------- > > Key: SPARK-36035 > URL: https://issues.apache.org/jira/browse/SPARK-36035 > Project: Spark > Issue Type: Test > Components: PySpark > Affects Versions: 3.2.0 > Reporter: Xinrong Meng > Assignee: Xinrong Meng > Priority: Major > > * test_astype > For pandas < 1.1.0, declaring or converting to StringDtype was in general > only possible if the data was already only str or nan-like (GH31204). > In pandas 1.1.0, the problem is adjusted by > [https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.1.0.html#all-dtypes-can-now-be-converted-to-stringdtype]. > That should be considered in `test_astype`, otherwise, current tests will > fail with pandas < 1.1.0. > * test_neg > {code:java} > dtypes = [ > "Int8", > "Int16", > "Int32", > "Int64", > ] > psers = [] > for dtype in dtypes: > psers.append(pd.Series([1, 2, 3, None], dtype=dtype)) > > for pser in psers: > print((-pser).dtype){code} > ~ 1.0.5, object dtype > 1.1.0~1.1.2, TypeError: bad operand type for unary -: 'IntegerArray' > 1.1.3, correct respective dtype -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org