ttake a single step, define as input arg - sphere - GPU-based 3D discrete eleme… | |
git clone git://src.adamsgaard.dk/sphere | |
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LICENSE | |
--- | |
commit 52f9b3e785283482c5fd012b95599580ac14e2fb | |
parent ce6e548cf6900e585d97dbe8b5482a428c96600e | |
Author: Anders Damsgaard <[email protected]> | |
Date: Wed, 10 Sep 2014 09:30:24 +0200 | |
ttake a single step, define as input arg | |
Diffstat: | |
M python/shear-results-forces.py | 11 ++++++----- | |
1 file changed, 6 insertions(+), 5 deletions(-) | |
--- | |
diff --git a/python/shear-results-forces.py b/python/shear-results-forces.py | |
t@@ -14,7 +14,8 @@ import matplotlib.pyplot as plt | |
from matplotlib.ticker import MaxNLocator | |
#steps = [5, 10, 100] | |
-steps = [3] | |
+#steps = [5, 10] | |
+steps = [sys.argv[1]] | |
nsteps_avg = 1 # no. of steps to average over | |
sigma0 = 10.0e3 | |
t@@ -101,7 +102,7 @@ for step in steps: | |
print(sid + ' not found') | |
s += 1 | |
-fig = plt.figure(figsize=(8,4*(len(steps)))) | |
+fig = plt.figure(figsize=(8,4*(len(steps))+1)) | |
for s in numpy.arange(len(steps)): | |
ax1 = plt.subplot((s+1)*100 + 31) | |
t@@ -109,15 +110,15 @@ for s in numpy.arange(len(steps)): | |
ax3 = plt.subplot((s+1)*100 + 33, sharey=ax1) | |
ax4 = ax3.twiny() | |
- ax1.plot(xdisp[s], zpos_p[s], '+', color = '#888888') | |
+ ax1.plot(xdisp[s], zpos_p[s], ',', color = '#888888') | |
ax1.plot(xdisp_mean[s], zpos_c[s], color = 'k') | |
- ax2.plot(f_pf[s], zpos_p[s], '+', color = '#888888') | |
+ ax2.plot(f_pf[s], zpos_p[s], ',', color = '#888888') | |
ax2.plot(f_pf_mean[s], zpos_c[s], color = 'k') | |
ax3.plot(dev_p[s]/1000.0, zpos_c[s], 'k') | |
- phicolor = '#666666' | |
+ phicolor = '#888888' | |
ax4.plot(phi_bar[s], zpos_c[s], '--', color = phicolor) | |
for tl in ax4.get_xticklabels(): | |
tl.set_color(phicolor) |