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https://issues.apache.org/jira/browse/SPARK-32098?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bryan Cutler resolved SPARK-32098.
----------------------------------
Fix Version/s: 3.1.0
2.4.7
3.0.1
Resolution: Fixed
Issue resolved by pull request 28928
[https://github.com/apache/spark/pull/28928]
> Use iloc for positional slicing instead of direct slicing in createDataFrame
> with Arrow
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-32098
> URL: https://issues.apache.org/jira/browse/SPARK-32098
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.4.6, 3.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Critical
> Labels: correctness
> Fix For: 3.0.1, 2.4.7, 3.1.0
>
>
> When you use floats are index of pandas, it produces a wrong results:
> {code}
> >>> import pandas as pd
> >>> spark.createDataFrame(pd.DataFrame({'a': [1,2,3]}, index=[2., 3.,
> >>> 4.])).show()
> +---+
> | a|
> +---+
> | 1|
> | 1|
> | 2|
> +---+
> {code}
> This is because direct slicing uses the value as index when the index
> contains floats:
> {code}
> >>> pd.DataFrame({'a': [1,2,3]}, index=[2., 3., 4.])[2:]
> a
> 2.0 1
> 3.0 2
> 4.0 3
> >>> pd.DataFrame({'a': [1,2,3]}, index=[2., 3., 4.]).iloc[2:]
> a
> 4.0 3
> >>> pd.DataFrame({'a': [1,2,3]}, index=[2, 3, 4])[2:]
> a
> 4 3
> {code}
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