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[Swapnil <question659647@xxxxxxxxxxxxxxxxxxxxx>]

New question #659647 on Yade:
https://answers.launchpad.net/yade/+question/659647

Hello Yade friends,
after slightly modifying and running the example script from the documentation for the periodic triaxial test, I am encountering the following error:

Running script peritriax.py
yade.plot: creating fake plot, since there are no y-data yet
/usr/lib/python2.7/dist-packages/matplotlib/axes/_axes.py:519: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
  warnings.warn("No labelled objects found. "
/usr/lib/python2.7/dist-packages/matplotlib/figure.py:397: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure
  "matplotlib is currently using a non-GUI backend, "
[[ ^L clears screen, ^U kills line. F12 controller, F11 3d view (use h-key for showing help), F10 both, F9 generator, F8 plot. ]]
[0;34mYade [[1;34m1[0;34m]: [0m

It appears to be some problem with labelling the plot. I tried giving the plot a label (example: plot.plots={'exx':('sxx') ,label='x-stressstrain'} but it does not seem to solve the issue.

Can you help me out?


the script is as follows:

sigmaIso=-1e5



# generate loose packing
from yade import pack, plot

O.periodic=True
sp=pack.SpherePack()
if 0:
   ## uniform distribution
   sp.makeCloud((0,0,0),(2,2,2),rMean=.1,rRelFuzz=.3,periodic=True)
else:
   ## create packing from clumps
   # configuration of one clump
   c1=pack.SpherePack([((0,0,0),.03333),((.03,0,0),.017),((0,.03,0),.017)])
   # make cloud using the configuration c1 (there could c2, c3, ...; selection between them would be random)
   sp.makeClumpCloud((0,0,0),(2,2,2),[c1],periodic=True,num=500)

# setup periodic boundary, insert the packing
sp.toSimulation()

O.engines=[
   ForceResetter(),
   InsertionSortCollider([Bo1_Sphere_Aabb()]),
   InteractionLoop(
      [Ig2_Sphere_Sphere_ScGeom()],
      [Ip2_FrictMat_FrictMat_FrictPhys()],
      [Law2_ScGeom_FrictPhys_CundallStrack()]
   ),
   PeriTriaxController(label='triax',
      # specify target values and whether they are strains or stresses
      goal=(sigmaIso,sigmaIso,sigmaIso),stressMask=7,
      # type of servo-control
      dynCell=True,maxStrainRate=(10,10,10),
      # wait until the unbalanced force goes below this value
      maxUnbalanced=.1,relStressTol=1e-3,
      # call this function when goal is reached and the packing is stable
      doneHook='compactionFinished()'
   ),
   NewtonIntegrator(damping=.2),
   PyRunner(command='addPlotData()',iterPeriod=100),
]
O.dt=.5*PWaveTimeStep()

def addPlotData():
   plot.addData(unbalanced=unbalancedForce(),i=O.iter,
      sxx=triax.stress[0],syy=triax.stress[1],szz=triax.stress[2],
      exx=triax.strain[0],eyy=triax.strain[1],ezz=triax.strain[2],
      # save all available energy data
      Etot=O.energy.total(),**O.energy
   )

# enable energy tracking in the code
O.trackEnergy=True

# define what to plot
plot.plots={'exx':('sxx')} #,label='x-stressstrain'} #,'eyy':('syy'),'ezz':('szz')}
# show the plot
plot.plot()

def compactionFinished():
   # set the current cell configuration to be the reference one
   O.cell.trsf=Matrix3.Identity
   # change control type: keep constant confinement in x,y, 20% compression in z
   triax.goal=(sigmaIso,sigmaIso,-.2)
   triax.stressMask=3
   # allow faster deformation along x,y to better maintain stresses
   triax.maxStrainRate=(1.,1.,.1)
   # next time, call triaxFinished instead of compactionFinished
   triax.doneHook='triaxFinished()'
   # do not wait for stabilization before calling triaxFinished
   triax.maxUnbalanced=10

def triaxFinished():
   print 'Finished'
   O.pause()

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