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https://issues.apache.org/jira/browse/SPARK-21766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-21766.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19319
[https://github.com/apache/spark/pull/19319]
> DataFrame toPandas() raises ValueError with nullable int columns
> ----------------------------------------------------------------
>
> Key: SPARK-21766
> URL: https://issues.apache.org/jira/browse/SPARK-21766
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Bryan Cutler
> Fix For: 2.3.0
>
>
> When calling {{DataFrame.toPandas()}} (without Arrow enabled), if there is a
> IntegerType column that has null values the following exception is thrown:
> {noformat}
> ValueError: Cannot convert non-finite values (NA or inf) to integer
> {noformat}
> This is because the null values first get converted to float NaN during the
> construction of the Pandas DataFrame in {{from_records}}, and then it is
> attempted to be converted back to to an integer where it fails.
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