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Posted to dev@climate.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/02/02 03:53:39 UTC

[jira] [Commented] (CLIMATE-742) ocw.data_source.local.py cannot properly detect the altitude dimension

    [ https://issues.apache.org/jira/browse/CLIMATE-742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15127519#comment-15127519 ] 

ASF GitHub Bot commented on CLIMATE-742:
----------------------------------------

GitHub user huikyole opened a pull request:

    https://github.com/apache/climate/pull/299

    CLIMATE-742 - ocw.data_source.local.py cannot properly detect the altitude dimension

    - In ocw.data_source.local.load_file, level_index is fixed as 1 (the 2nd dimension) if the input dataset has four dimensions.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/huikyole/climate CLIMATE-742

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/climate/pull/299.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 #299
    
----
commit 71696cb79be8ebb3cf1e74f4c2e5280f23174187
Author: huikyole <hu...@argo.jpl.nasa.gov>
Date:   2016-02-02T02:49:52Z

    CLIMATE-742 - ocw.data_source.local.py cannot properly detect the altitude dimension
    
    - In ocw.data_source.local.load_file, level_index is fixed as 1 (the 2nd dimension) if the input dataset has four dimensions.

----


> ocw.data_source.local.py cannot properly detect the altitude dimension
> ----------------------------------------------------------------------
>
>                 Key: CLIMATE-742
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-742
>             Project: Apache Open Climate Workbench
>          Issue Type: Bug
>            Reporter: Huikyo Lee
>            Assignee: Huikyo Lee
>
> Currently, ocw.data_source.local.load_file does not automatically detect the altitude dimension. As a temporary solution, level_index is fixed as 1 (the 2nd dimension) if the input dataset has four dimensions.



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