Github user dwmclary commented on the pull request:
https://github.com/apache/spark/pull/4421#issuecomment-73626542
Or, I guess I can just do it in this PR if you don't mind it changing a
bunch.
On Mon, Feb 9, 2015 at 5:18 PM, Dan McClary <[email protected]> wrote:
> Ah, yes, I see that now.
>
> Python doesn't seem to have a toDataFrame, so maybe the logical thing to
> do here is to just do a new PR with a Python implementation of toDataFrame
> -- it'd be a little bit from my current PR and then call into the Scala
> method.
>
> What do you think?
>
> On Mon, Feb 9, 2015 at 5:12 PM, Reynold Xin <[email protected]>
> wrote:
>
>> Types need to exist, but names don't. They can just be random column
>> names like _1, _2, _3.
>>
>> In Scala, if you import sqlContext.implicits._, then any RDDProduct
>>
<http://which%20includes%20RDD%20of%20case%20classes%20and%20RDD%20of%20tuples>
>> can be implicitly turned into a DataFrame.
>>
>> In Python, I think we can add an explicit method that turns a RDD of
>> tuple into a DataFrame, if that doesn't exist yet.
>>
>> â
>> Reply to this email directly or view it on GitHub
>> <https://github.com/apache/spark/pull/4421#issuecomment-73625791>.
>>
>
>
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