[GitHub] [arrow] emkornfield commented on issue #7882: Performance difference between pc.multiply vs pd.multiply

2020-08-02 Thread GitBox


emkornfield commented on issue #7882:
URL: https://github.com/apache/arrow/issues/7882#issuecomment-667807803


   Thanks, also if you are using prebuilt wheels, I think this could be due to 
the target compiler settings (I would guess numpy multiply has dynamic dispatch 
for more recent CPUs where this is something that we are working on 
implementing)



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[GitHub] [arrow] emkornfield commented on issue #7882: Performance difference between pc.multiply vs pd.multiply

2020-08-02 Thread GitBox


emkornfield commented on issue #7882:
URL: https://github.com/apache/arrow/issues/7882#issuecomment-667784048


   @zacqed thanks for the report.  We use 
[JIRA](https://issues.apache.org/jira/secure/Dashboard.jspa) could you report 
this here? Also what version of pyarrow?



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