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https://issues.apache.org/jira/browse/CLIMATE-732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15124446#comment-15124446
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ASF GitHub Bot commented on CLIMATE-732:
----------------------------------------
GitHub user huikyole opened a pull request:
https://github.com/apache/climate/pull/288
CLIMATE-732 - Update data_processor.temporal_rebin
- efficiency of dataset_processor.temporal_rebin has been significantly
improved
- the option for temporal resolution needs to be given as characters.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/huikyole/climate CLIMATE-732
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/climate/pull/288.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #288
----
commit 3fec482641694a4917652e4bd74b6d88a872cd96
Author: huikyole <[email protected]>
Date: 2016-01-29T23:43:32Z
CLIMATE-732 - Update data_processor.temporal_rebin
- efficiency of dataset_processor.temporal_rebin has been significantly
improved
- the option for temporal resolution needs to be given as characters.
----
> Update dataset_processor.temporal_rebin
> ---------------------------------------
>
> Key: CLIMATE-732
> URL: https://issues.apache.org/jira/browse/CLIMATE-732
> Project: Apache Open Climate Workbench
> Issue Type: New Feature
> Reporter: Huikyo Lee
> Assignee: Huikyo Lee
> Priority: Blocker
> Fix For: 1.1
>
>
> In the current version, dataset_processor.temporal_rebin is extremely slow
> and causes memory errors when handling large size daily output. By using
> numpy.where function, temporal_rebin module will become more efficient.
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