although the logic should be col1 <> a && col(1) <> b
to exclude both
Like
df.filter('transactiontype > " ").filter(not('transactiontype ==="DEB") &&
not('transactiontype
==="BGC")).select('transactiontype).distinct.collect.foreach(println)
HTH
Dr Mich Talebzadeh
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On 7 August 2016 at 16:53, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> try similar to this
>
> df.filter(not('transactiontype ==="DEB") || not('transactiontype ==="CRE"))
>
> HTH
>
>
> Dr Mich Talebzadeh
>
>
>
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> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
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> On 7 August 2016 at 15:43, Divya Gehlot <divya.htco...@gmail.com> wrote:
>
>> Hi,
>> I have use case where I need to use or[||] operator in filter condition.
>> It seems its not working its taking the condition before the operator and
>> ignoring the other filter condition after or operator.
>> As any body faced similar issue .
>>
>> Psuedo code :
>> df.filter(col("colName").notEqual("no_value") ||
>> col("colName").notEqual(""))
>>
>> Am I missing something.
>> Would really appreciate the help.
>>
>>
>> Thanks,
>> Divya
>>
>
>
