Hi Edward.
Yes, that would be a very very nice representation of the script.
That would correspond very well to the guidelines i wrote for the
pymolwiki, how to make a good wiki page.
http://pymolwiki.org/index.php/Git_script_guidelines
My problem is that the figures still look a little "wrong", so they
are not yet good example figures yet. :-)
(Looking into my input...)
What I would really like, is to add these wiki scripts to a folder:
So one could just call in relax
import wiki.matplotlib_dpl94_r1rho_r2eff
wiki.matplotlib_dpl94_r1rho_r2eff.plot(res_folder = "resultsR1",
spin_inte = ":52@N", num_points=100, extend=5000.0 )
( I would have to make the script into a function :-) )
What I hope for, is a kind of development, where users can write wiki
scripts, a little like pymol,
which can help setup an analysis.
That could for example be functions that do
- Given a text file with file positions to .ft2 files, then collect
the "apod_rmsd", by calling nmrPipe "showApod test.ft2"
- Given a text file with folder positions to varian procpar files,
collect offset, spinlock time etc.
Best
Troels
2014-03-17 14:20 GMT+01:00 Edward d'Auvergne <edward@xxxxxxxxxxxxx>:
Hi Troels,
Do you think it would be worth including those three plots you sent me
into the wiki page? Then the visitor to that page will see what the
script is capable of.
Regards,
Edward
On 17 March 2014 14:16, Troels E. Linnet
<NO-REPLY.INVALID-ADDRESS@xxxxxxx> wrote:
Update of sr #3124 (project relax):
Priority: 5 - Normal => 3 - Low
Status: In Progress => Postponed
_______________________________________________________
Follow-up Comment #42:
This support request has been postponed.
A python matplotlib making these figures has been posted at the wiki:
http://wiki.nmr-relax.com/Matplotlib_DPL94_R1rho_R2eff
Including interpolation of points, it makes three figures:
Plot 1: R1_rho as function of theta.
Plot 2: R1_rho_R2eff as function of w_eff
Plot 3: R1_rho as function of as function of disp_point, the Spin-lock
field
strength
Note, Plot 3 is the usual outcome from the user function:
relax_disp.plot_disp_curves
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<http://gna.org/support/?3124>
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