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https://issues.apache.org/jira/browse/ARROW-12657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17405491#comment-17405491
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Eduardo Ponce edited comment on ARROW-12657 at 8/28/21, 5:21 AM:
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Also, Arrow already supports some hex parsing support by 
[HexEncode|https://github.com/apache/arrow/blob/master/cpp/src/arrow/util/string.cc#L30]
 and [ParseHexValue in 
util/string.cc|https://github.com/apache/arrow/blob/master/cpp/src/arrow/util/string.cc#L76]
 (and [related PR|https://github.com/apache/arrow/pull/5993]).


was (Author: edponce):
Also, Arrow already supports some hex parsing support by [ParseHexValue in 
util/string.cc|https://github.com/apache/arrow/blob/master/cpp/src/arrow/util/string.cc#L76]
  (and [related PR|https://github.com/apache/arrow/pull/5993]).

> [C++][Python][Compute] String hex to numeric conversion and bit shifting
> ------------------------------------------------------------------------
>
>                 Key: ARROW-12657
>                 URL: https://issues.apache.org/jira/browse/ARROW-12657
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: C++, Python
>            Reporter: Franz
>            Assignee: William Malpica
>            Priority: Major
>
> Hi Apache Arrow Community,
> thanks for the great work on this project - it is really a game changer. I've 
> started to use it more frequently since more and more compute kernels became 
> available.
> However, I have a current requirement which I can't fulfill, yet. More 
> concretely, I have hex values as strings. I need to convert them to numeric 
> type (int) and apply bit shifting.
> Currently, I can't find a way to do so. I tried type casts (string to int) 
> like 
> {code:java}
> import pyarrow as pa
> array = pa.array(["0x2001591", "0x2000848", "0x2000123"])
> array.cast(pa.uint32()){code}
> However this results in _ArrowInvalid: Failed to parse string: '0x2000123' as 
> a scalar of type uint32._ 
> Moreover, I will need to apply bit shifting once converted. I'm not sure if 
> there is anything comparable in the compute kernels, yet.
> Thanks for any help in advance.
>  
>  



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