When I run my code, MatplotlibDeprecationWarning appears
When I run my code, the following warning appears:
/usr/lib/
mplDeprecation)
/usr/lib/
mplDeprecation)
Why does this happen?
Here is my code:
##______________ First section, generate sample_________
from __future__ import print_function
from yade import pack, qt, plot
from math import *
nRead=readParam
## model parameters
## material parameters
young=2e8,
poisson=.2,
alphaKtw=0,
etaTwist=0,
## fluid parameters
## control parameters
damp=0,
## output specifications
)
from yade.params.table import *
O.periodic=True
O.cell.
# create materials for spheres
#shear strength is the sum of friction and adhesion, so the momentRotationL
O.materials.
# generate particles packing
sp=pack.
sp.makeCloud(
sp.toSimulation
O.engines=[
),
# specify target values and whether they are strains or stresses
# type of servo-control, the strain rate isn't determined, it shloud check the unbalanced force
# wait until the unbalanced force goes below this value
),
]
qt.View()
# enable energy tracking in the code
O.trackEnergy=True
# define function to record history
def history():
plot.
)
O.engines=
# define what to plot
plot.plots=
plot.live=True
plot.setLiveFor
# show the plot
plot.plot()
import sys
def compactionFinis
#check the current porosity
# if the current porosity is lager than target Porosity and comFricDegree is lager than 10,
# then we decrease friction value and apply it to all the bodies and contacts,
# else we decrease rolling friction value.
global compFricDegree, competaRoll
if porosity(
# we decrease friction value and apply it to all the bodies and contacts
# python syntax, make each step printout
elif porosity(
# we decrease rolling fiction value and apply it to all the bodies and contacts
for b in O.bodies:
for i in O.interactions:
else:
# after sample preparation, save the state
# next time, called python command
O.pause()
O.run()
O.wait()
plot.saveDataTx
##_____
# change the contact parameters to the final calibration value
setContactFrict
for b in O.bodies:
b.mat.
for i in O.interactions:
i.phys.
print(O.
# set the current cell configuration to be the reference one
O.cell.
O.run(1,True)
print(O.cell.trsf, triax.strain)
# change control type: keep constant confinement in x,y, 30% compression in z
triax.goal=
triax.stressMask=3
# allow faster deformation along x,y to better maintain stresses
triax.maxStrain
# call triaxFinished instead of compactionFinished
triax.doneHook=
def triaxFinished():
O.save(
print(
O.pause()
# Reset all plot data; keep plots and labels intact
plot.reset()
O.run(1000,True)
plot.saveDataTx
Question information
- Language:
- English Edit question
- Status:
- Solved
- For:
- Yade Edit question
- Assignee:
- No assignee Edit question
- Solved by:
- Zhicheng Gao
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