[jira] [Reopened] (CLIMATE-55) Updating any modules using PyNgl and PyNio

["Cameron Goodale (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CLIMATE-55?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Cameron Goodale reopened CLIMATE-55:
------------------------------------

      Assignee: Cameron Goodale  (was: Huikyo Lee)

Reopening to flag the issue as Resolved instead of Closed.
                
> Updating any modules using PyNgl and PyNio
> ------------------------------------------
>
>                 Key: CLIMATE-55
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-55
>             Project: Apache Open Climate Workbench
>          Issue Type: Improvement
>          Components: metrics
>    Affects Versions: 0.1-incubating
>            Reporter: Huikyo Lee
>            Assignee: Cameron Goodale
>             Fix For: 0.2-incubating
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> PyNgl and PyNio have some critical weaknesses as follows.
> 1. NCAR has not updated PyNgl and PyNio updated for a long time. They do not support full features of NCL.
> 2. PyNgl does not support x window plots. It only allows creating postscript files.
> 3. PyNio cannot delete and replace existing NetCDF files.
> I suggest replacing PyNio/PyNgl with netCDF4 and mpl_toolkits.basemap.
> (updated June/19/2013)
> Jinwon and I found out that netCDF4 does not properly handle model data without any missing data.
> Using PyNio, variables from netcdf files are stored as a numpy.ma array whereas netCDF4 just creates numpy array when there is no missing value. This caused an error because our toolkit assumes that all model data have mask information. I will fix this and commit a new revision soon.

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