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https://issues.apache.org/jira/browse/SPARK-17496?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15490528#comment-15490528
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Max Moroz commented on SPARK-17496:
-----------------------------------
Agreed, I thought 1 means randomly permute the DataFrame like in pandas,
but it doesn't. So pointless to give argument 1.
That said, it's a bit weird to have such strict type checking in a python
API. But I guess when calling Java functions it's unavoidable.
> missing int to float coercion in df.sample() signature
> ------------------------------------------------------
>
> Key: SPARK-17496
> URL: https://issues.apache.org/jira/browse/SPARK-17496
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0
> Reporter: Max Moroz
> Priority: Trivial
>
> {code}
> # works
> spark.createDataFrame([[1], [2], [3]]).sample(True, 1.0)
> # doesn't work
> spark.createDataFrame([[1], [2], [3]]).sample(True, 1)
> {code}
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