[jira] [Commented] (SPARK-21766) DataFrame toPandas() raises ValueError with nullable int columns

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16176000#comment-16176000 ] 

Apache Spark commented on SPARK-21766:
--------------------------------------

User 'viirya' has created a pull request for this issue:
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
>
> 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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