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	tadded sheardisp visualization - sphere - GPU-based 3D discrete element method …
	git clone git://src.adamsgaard.dk/sphere
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	---
	commit d17e9bc8044caf0b3e77cbf286934808fcc4bc29
	parent 119cac8a4e5b392f9b41fb700d0fff088b3ad6b3
	Author: Anders Damsgaard Christensen <[email protected]>
	Date: Sun, 7 Apr 2013 04:27:39 +0200

	added sheardisp visualization

	Diffstat:
	M python/sphere.py \| 40 +++++++++++++++++++++++++++++…

	1 file changed, 40 insertions(+), 0 deletions(-)
	---
	diff --git a/python/sphere.py b/python/sphere.py
	t@@ -1295,6 +1295,7 @@ class Spherebin:
	subprocess.call("cd .. && ./forcechains " + nd + "-f " + outformat + "…
	subprocess.call("gnuplot tmp.gp && rm tmp.bin && rm tmp.gp", shell=Tru…

	+
	def forcechainsRose(self, lower_limit=0.25):
	''' Visualize strike- and dip angles of the strongest force chains in a
	rose plot.
	t@@ -1408,6 +1409,44 @@ class Spherebin:
	plt.savefig("bonds-" + self.sid + "-rose.pdf", transparent=True)


	+ def sheardisp(self, outformat='pdf', zslices=32):
	+ ''' Show particle x-displacement vs. the z-pos '''
	+
	+ # Bin data and error bars for alternative visualization
	+ h_total = numpy.max(self.x[:,2]) - numpy.min(self.x[:,2])
	+ h_slice = h_total / zslices
	+
	+ zpos = numpy.zeros(zslices)
	+ xdisp = numpy.zeros(zslices)
	+ err = numpy.zeros(zslices)
	+
	+ for iz in range(zslices):
	+
	+ # Find upper and lower boundaries of bin
	+ zlower = iz * h_slice
	+ zupper = zlower + h_slice
	+
	+ # Save depth
	+ zpos[iz] = zlower + 0.5*h_slice
	+
	+ # Find particle indexes within that slice
	+ I = numpy.nonzero((self.x[:,2] > zlower) & (self.x[:,2] < zupper))
	+
	+ # Save mean x displacement
	+ xdisp[iz] = numpy.mean(self.xysum[I,0])
	+
	+ # Save x displacement standard deviation
	+ err[iz] = numpy.std(self.xysum[I,0])
	+
	+
	+ plt.figure(figsize=[4, 4])
	+ ax = subplot(111)
	+ ax.scatter(self.xysum[:,0], self.x[:,2], c='k', marker='+')
	+ ax.errorbar(xdisp, zpos, xerr=err, linestyle='-')
	+ plt.savefit(self.sid + '-sheardisp.' + outformat, transparent=True)
	+
	+
	+
	def thinsection_x1x3(self,
	x2 = 'center',
	graphicsformat = 'png',
	t@@ -2035,6 +2074,7 @@ def visualize(project, method = 'energy', savefig = True…
	if fh is not None:
	fh.close()

	+
	else :
	print("Visualization type '" + method + "' not understood")