[
https://issues.apache.org/jira/browse/ARROW-13939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17412481#comment-17412481
]
krishna deepak commented on ARROW-13939:
----------------------------------------
Hi Will,
Yes, resampling timeseries table, eg 1min buckets to 5 min buckets table etc.
Same as dataframe.resample. Does arrow provide this functionality already?
So how to go about iterating the table. from documentation all I could use is
only *Slice* function. But does not feel like a proper iterator of sorts. Is
there anything better to iterate properly?
By "build arrays", you mean arrow chunkedarrays, arraybuilders or cpp vectors?
Thanks
> how to do resampling of arrow table using cython
> ------------------------------------------------
>
> Key: ARROW-13939
> URL: https://issues.apache.org/jira/browse/ARROW-13939
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++, Python
> Reporter: krishna deepak
> Priority: Minor
>
> Please can someone point me to resources, how to write a resampling code in
> cython for Arrow table.
> # Will iterating the whole table be slow in cython?
> # which is the best to use to append new elements to. Is there a way i
> create an empty table of same schema and keep appending to it. Or should I
> use vectors/list and then pass them to create a table.
> Performance is very important for me. Any help is highly appreciated.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
