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From "Len Frodgers (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-19732) DataFrame.fillna() does not work for bools in PySpark
Date Thu, 20 Apr 2017 14:22:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Len Frodgers updated SPARK-19732:
---------------------------------
    Priority: Minor  (was: Major)

> DataFrame.fillna() does not work for bools in PySpark
> -----------------------------------------------------
>
>                 Key: SPARK-19732
>                 URL: https://issues.apache.org/jira/browse/SPARK-19732
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 2.1.0
>            Reporter: Len Frodgers
>            Priority: Minor
>
> In PySpark, the fillna function of DataFrame inadvertently casts bools to ints, so fillna
cannot be used to fill True/False.
> e.g. `spark.createDataFrame([Row(a=True),Row(a=None)]).fillna(True).collect()` 
> yields
> `[Row(a=True), Row(a=None)]`
> It should be a=True for the second Row
> The cause is this bit of code: 
> {code}
> if isinstance(value, (int, long)):
>             value = float(value)
> {code}
> There needs to be a separate check for isinstance(bool), since in python, bools are ints
too



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