[Numpy-discussion] viewing Gridded or Polar data?

[Paul F. Dubois]

We will answer you again shortly and include an example of how to do
this in cdat (cdat.sf.net). You can do it using our GUI or from the
Python command line.

cdat includes a colormap editor for getting things just the way you
want, and a variety of graphics methods including box fill, isofill,
isoline, etc. It can open a wide variety of data files including netcdf.

Our name, Climate Data Analysis Tools, is a bit misleading. There are
special facilities for climate modelers, and a variety of statistics and
other algorithms that they need, but the package is a general-purpose
one.

-----Original Message-----
From: numpy-discussion-admin at lists.sourceforge.net
[mailto:numpy-discussion-admin at lists.sourceforge.net] On Behalf Of Joe
Van Andel
Sent: Thursday, January 17, 2002 6:47 AM
To: numpy-discussion
Subject: [Numpy-discussion] viewing Gridded or Polar data?


Can anyone recommend a visualization package that would display arrays
of numbers by mapping values to a set of colors?  That is, we define 32
colors, where the first color represents values 0-10, the second color
represents 10-20, etc, and then each input value gets displayed as its
corresponding color.

I'd like to read netCDF files, if possible.

Thanks much!

-- 
Joe VanAndel  	          
National Center for Atmospheric Research
http://www.atd.ucar.edu/~vanandel/
Internet: vanandel at ucar.edu

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