ElVis 8/8/2010
1. Color point plots
a. Fixed bug so color map does not become
empty.
b. New plots use point size from slider.
c. Fixed bug in point ordering so correct
colors are applied to points.
ElVis 7/19/2010
1. Fixed bug in PostScript
printing.
2. Graphs of netCDF data, variables can have attribute:
plotType = points
Graphs will be automatically drawn as point plots.
3. Added option to color-code points according to another
variable.
4. Added slider for controlling size of points.
ElVis 6/29/2010
1. Fixed bug with remote
login on Macs.
2. Updates to data workbench (Numerical Python).
ElVis 6/24/2010
1. Fixed problem where users on the new PPL
subnet had to
enter
passphrase to run web services.
2. Web service users are prompted if their el_ or tr_
account is not active on the PPL server side.
3. All rplot graphs printed
to 1 PDF file, including automated
rplot output from Between Shots TRANSP.
4. Pest web service will display output graphs of sines, cosines,
and Eigen vectors.
5. Restored functionality of NSTX Web Tools service for creating
graphs
of data from shots.
6. Added option for equal scaling of X-Y axes in graphs.
The number of pixels per unit length will be
the same for
both axes.
This is useful for showing an accurately
scaled cross
section in meters, e.g.
Access this option from GraphWindow
pop-up menu, can be saved in a template file.
7. Contour line plots are color-coded with a color
gradient.
The default gradient corresponds to the color
gradient
of color map plots.
8. The GraphEditor window can be resized and the layout of some
of its pages has been improved.
9. Added pop-up menu to copy
and paste text in status panels,
console window, and terminal windows.
10. What's New added under Help
menu to show this
list of new
features.
ElVis
5/27/2010
Between shots TRANSP:
1. When the run is submitted ElVis will start
monitoring the run.
2. A window with 4 graphs will be displayed when the
run starts.
3. The graphs will be updated as the run
progresses.
4. When the run is complete another window will be
displayed with 9 graphs from an rplot script.
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