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https://issues.apache.org/jira/browse/CLIMATE-55?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Huikyo Lee updated CLIMATE-55:
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Description:
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.
was:
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 Scienfitic.IO.NetCDF and
mpl_toolkits.basemap.
> 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: Huikyo Lee
> 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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