isovaleurs with paraview

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Hi Jabrane,
I don't use it myself. but there is TessalationWrapper [1] for this purposes.
I am sure Paraview itself has some ways to do it, I remember using something like Tetrahedralize filter (not sure), but it is more question on Paraview forums, not here..
cheers
Jan

[1] https://yade-dem.org/doc/user.html#micro-strain

Hello Jan,

Thank you for the answer.
In fact i try to do a script python with which i output the figure with iso-lines of cracks number in a part of the medium.
To output i have to introduce the coordinates of cracks and the number of cracks per part of medium.
I have the coordinates of the cracks position. The problem is how can i obtain the cracks number per a part of medium.

This is a short script with which we can have the isolines with python

import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'

delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)

Best regards

import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'

delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)

# Create a simple contour plot with labels using default colors. The
# inline argument to clabel will control whether the labels are draw
# over the line segments of the contour, removing the lines beneath
# the label
plt.figure()
CS = plt.contour(X, Y, Z)
plt.clabel(CS, inline=1, fontsize=10)
plt.title('Simplest default with labels')

Hi Jabrane,

"part of medium" is the critical point here. I think the most
straightforward approach is to map the values to a unstructured grid (where
you can easily control what part of medium actually is). Paraview then
easily plot contours on such unstructured grid.
All in all, it is more paraview / data postprocessing in general question
than yade question..

cheers
Jan

Thank you Jan.
Finally i wrote a script with python because i persuade that i can't draw isolines with paraview.

Best regards
Jabrane