mailr24860 - /branches/r1rho_plotting/auto_analyses/relax_disp.py


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Posted by tlinnet on July 30, 2014 - 22:27:
Author: tlinnet
Date: Wed Jul 30 22:27:21 2014
New Revision: 24860

URL: http://svn.gna.org/viewcvs/relax?rev=24860&view=rev
Log:
Forcing overwrite of special R1rho graphs in auto analyses in relax_disp.

The other graphs are also auto forced.

sr #3124(https://gna.org/support/?3124): Grace graphs production for R1rho 
analysis with R2_eff as function of Omega_eff.
sr #3138(https://gna.org/support/?3138): Interpolating theta through 
spin-lock offset [Omega], rather than spin-lock field strength [w1].

Modified:
    branches/r1rho_plotting/auto_analyses/relax_disp.py

Modified: branches/r1rho_plotting/auto_analyses/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/r1rho_plotting/auto_analyses/relax_disp.py?rev=24860&r1=24859&r2=24860&view=diff
==============================================================================
--- branches/r1rho_plotting/auto_analyses/relax_disp.py (original)
+++ branches/r1rho_plotting/auto_analyses/relax_disp.py Wed Jul 30 22:27:21 
2014
@@ -544,9 +544,9 @@
 
         # Plot specific R1rho graphs.
         if has_r1rho_exp_type() and model in [None] + MODEL_LIST_R1RHO_FULL:
-            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
x_axis=X_AXIS_THETA, force=False)
-            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
y_axis=Y_AXIS_R2_R1RHO, x_axis=X_AXIS_W_EFF, force=False)
-            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
y_axis=Y_AXIS_R2_EFF, x_axis=X_AXIS_THETA, interpolate=INTERPOLATE_OFFSET, 
force=False)
+            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
x_axis=X_AXIS_THETA, force=True)
+            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
y_axis=Y_AXIS_R2_R1RHO, x_axis=X_AXIS_W_EFF, force=True)
+            self.interpreter.relax_disp.plot_disp_curves(dir=path, 
y_axis=Y_AXIS_R2_EFF, x_axis=X_AXIS_THETA, interpolate=INTERPOLATE_OFFSET, 
force=True)
 
         # The selected models for the final run.
         if model == None:




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