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https://issues.apache.org/jira/browse/CLIMATE-88?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13679679#comment-13679679
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Huikyo Lee commented on CLIMATE-88:
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Yes, in my test, I did not restore the shape of data array.
So there should be one more line.
dataset1.resize(dataShape)
I would just suggest the resize method as another alternative to your
reshapeMonthlyData function.
In your routine, you also define another array, data so I am not sure if it is
actually make big differences regarding memory allocation.
Kyo
> Performance improvements for metrics.py
> ---------------------------------------
>
> Key: CLIMATE-88
> URL: https://issues.apache.org/jira/browse/CLIMATE-88
> Project: Apache Open Climate Workbench
> Issue Type: Improvement
> Components: metrics
> Affects Versions: 0.1-incubating
> Reporter: Alex Goodman
> Assignee: Chris A. Mattmann
> Fix For: 0.1-incubating
>
> Attachments: benchmark_metrics.py,
> benchmark_metrics_with_resize_method.py
>
>
> The performance for many of the functions in metrics.py can be improved by
> removing some unnecessary loops and utilizing shape manipulation.
> I have attached some example code that benchmarks the differences between the
> original and proposed methodology if you did not see it in the mailing list.
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