[
https://issues.apache.org/jira/browse/SPARK-21766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bryan Cutler updated SPARK-21766:
---------------------------------
Summary: DataFrame toPandas() raises ValueError with nullable int columns
(was: DataFrame toPandas() )
> 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
