tchange legend text - sphere - GPU-based 3D discrete element method algorithm w… | |
git clone git://src.adamsgaard.dk/sphere | |
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commit 8bd26b9711a0a729d4e04f2dcf8c7548dabfd995 | |
parent 34e73fc1d569714e7505f2601b4d20d14bc8c414 | |
Author: Anders Damsgaard <[email protected]> | |
Date: Mon, 22 Dec 2014 15:04:56 +0100 | |
change legend text | |
Diffstat: | |
A python/halfshear-darcy-strain.py | 161 +++++++++++++++++++++++++++++… | |
1 file changed, 161 insertions(+), 0 deletions(-) | |
--- | |
diff --git a/python/halfshear-darcy-strain.py b/python/halfshear-darcy-strain.py | |
t@@ -0,0 +1,161 @@ | |
+#!/usr/bin/env python | |
+import matplotlib | |
+matplotlib.use('Agg') | |
+matplotlib.rcParams.update({'font.size': 18, 'font.family': 'serif'}) | |
+matplotlib.rc('text', usetex=True) | |
+matplotlib.rcParams['text.latex.preamble']=[r"\usepackage{amsmath}"] | |
+import shutil | |
+ | |
+import os | |
+import numpy | |
+import sphere | |
+from permeabilitycalculator import * | |
+import matplotlib.pyplot as plt | |
+from matplotlib.ticker import MaxNLocator | |
+ | |
+sigma0 = 20000.0 | |
+#cvals = ['dry', 1.0, 0.1, 0.01] | |
+cvals = ['dry', 3.5e-13, 3.5e-15] | |
+#cvals = ['dry', 1.0] | |
+#step = 1999 | |
+ | |
+sim = sphere.sim('halfshear-sigma0=' + str(sigma0) + '-shear') | |
+sim.readfirst(verbose=False) | |
+ | |
+ | |
+# particle z positions | |
+zpos_p = [[], [], []] | |
+ | |
+# cell midpoint cell positions | |
+zpos_c = [[], [], []] | |
+ | |
+# particle x displacements | |
+xdisp = [[], [], []] | |
+xdisp_mean = [[], [], []] | |
+ | |
+s = 0 | |
+for c in cvals: | |
+ | |
+ if c == 'dry': | |
+ fluid = False | |
+ sid = 'halfshear-sigma0=' + str(sigma0) + '-shear' | |
+ else: | |
+ fluid = True | |
+ sid = 'halfshear-darcy-sigma0=' + str(sigma0) + '-k_c=' + str(c) + \ | |
+ '-mu=1.797e-06-velfac=1.0-shear' | |
+ | |
+ sim = sphere.sim(sid, fluid=fluid) | |
+ | |
+ if os.path.isfile('../output/' + sid + '.status.dat'): | |
+ | |
+ sim.readlast(verbose=False) | |
+ | |
+ zpos_c[s] = numpy.zeros(sim.num[2]*2) | |
+ dz = sim.L[2]/(sim.num[2]*2) | |
+ for i in numpy.arange(sim.num[2]*2): | |
+ zpos_c[s][i] = i*dz + 0.5*dz | |
+ | |
+ xdisp[s] = numpy.zeros(sim.np) | |
+ xdisp_mean[s] = numpy.zeros(sim.num[2]*2) | |
+ | |
+ | |
+ zpos_p[s][:] = sim.x[:,2] | |
+ | |
+ xdisp[s][:] = sim.xyzsum[:,0] | |
+ | |
+ #shear_strain[s] += sim.shearStrain()/nsteps_avg | |
+ | |
+ # calculate mean values of xdisp and f_pf | |
+ for iz in numpy.arange(sim.num[2]*2): | |
+ z_bot = iz*dz | |
+ z_top = (iz+1)*dz | |
+ I = numpy.nonzero((zpos_p[s][:] >= z_bot) & (zpos_p[s][:] < z_top)) | |
+ if len(I) > 0: | |
+ xdisp_mean[s][iz] = numpy.mean(xdisp[s][I]) | |
+ | |
+ # normalize distance | |
+ max_dist = numpy.nanmax(xdisp_mean[s]) | |
+ xdisp_mean[s] /= max_dist | |
+ | |
+ else: | |
+ print(sid + ' not found') | |
+ s += 1 | |
+ | |
+ | |
+#fig = plt.figure(figsize=(8,4*(len(steps))+1)) | |
+#fig = plt.figure(figsize=(8,5*(len(steps))+1)) | |
+fig = plt.figure(figsize=(8,6)) | |
+ | |
+ax = [] | |
+#linetype = ['-', '--', '-.'] | |
+linetype = ['-', '-', '-', '-'] | |
+#color = ['b','g','c','y'] | |
+color = ['b','g','r','y'] | |
+for s in numpy.arange(len(cvals)): | |
+ | |
+ ax.append(plt.subplot(111)) | |
+ #ax.append(plt.subplot(len(steps)*100 + 31 + s*3)) | |
+ #ax.append(plt.subplot(len(steps)*100 + 32 + s*3, sharey=ax[s*4+0])) | |
+ #ax.append(plt.subplot(len(steps)*100 + 33 + s*3, sharey=ax[s*4+0])) | |
+ #ax.append(ax[s*4+2].twiny()) | |
+ | |
+ if cvals[s] == 'dry': | |
+ legend = 'dry' | |
+ elif cvals[s] == 3.5e-13: | |
+ legend = 'wet, relatively permeable' | |
+ elif cvals[s] == 3.5e-15: | |
+ legend = 'wet, relatively impermeable' | |
+ else: | |
+ legend = 'wet, $k_c$ = ' + str(cvals[s]) + ' m$^2$' | |
+ | |
+ #ax[0].plot(xdisp[s], zpos_p[s], ',', color = '#888888') | |
+ #ax[0].plot(xdisp[s], zpos_p[s], ',', color=color[s], alpha=0.5) | |
+ ax[0].plot(xdisp_mean[s], zpos_c[s], linetype[s], | |
+ color=color[s], label=legend, linewidth=1) | |
+ | |
+ ax[0].set_ylabel('Vertical position $z$ [m]') | |
+ #ax[0].set_xlabel('$\\boldsymbol{x}^x_\\text{p}$ [m]') | |
+ ax[0].set_xlabel('Normalized horizontal distance') | |
+ | |
+ #ax[s*4+0].get_xaxis().set_major_locator(MaxNLocator(nbins=5)) | |
+ #ax[s*4+1].get_xaxis().set_major_locator(MaxNLocator(nbins=5)) | |
+ #ax[s*4+2].get_xaxis().set_major_locator(MaxNLocator(nbins=5)) | |
+ | |
+ #plt.setp(ax[s*4+0].xaxis.get_majorticklabels(), rotation=90) | |
+ #plt.setp(ax[s*4+1].xaxis.get_majorticklabels(), rotation=90) | |
+ #plt.setp(ax[s*4+2].xaxis.get_majorticklabels(), rotation=90) | |
+ #plt.setp(ax[s*4+3].xaxis.get_majorticklabels(), rotation=90) | |
+ | |
+ #if s == 0: | |
+ #y = 0.95 | |
+ #if s == 1: | |
+ #y = 0.55 | |
+ | |
+ #strain_str = 'Shear strain $\\gamma = %.3f$' % (shear_strain[s]) | |
+ #fig.text(0.1, y, strain_str, horizontalalignment='left', fontsize=22) | |
+ #ax[s*4+0].annotate(strain_str, xytext=(0,1.1), textcoords='figure fractio… | |
+ #horizontalalignment='left', fontsize=22) | |
+ #plt.text(0.05, 1.06, strain_str, horizontalalignment='left', fontsize=22, | |
+ #transform=ax[s*4+0].transAxes) | |
+ #ax[s*4+0].set_title(strain_str) | |
+ | |
+ #ax[s*4+0].grid() | |
+ #ax[s*4+1].grid() | |
+ #ax[s*4+2].grid() | |
+ #ax1.legend(loc='lower right', prop={'size':18}) | |
+ #ax2.legend(loc='lower right', prop={'size':18}) | |
+ | |
+legend_alpha=0.5 | |
+ax[0].legend(loc='lower right', prop={'size':18}, fancybox=True, framealpha=le… | |
+ax[0].grid() | |
+ax[0].set_xlim([-0.1,1.1]) | |
+plt.tight_layout() | |
+plt.subplots_adjust(wspace = .05) | |
+plt.MaxNLocator(nbins=4) | |
+ | |
+filename = 'halfshear-darcy-strain.pdf' | |
+plt.savefig(filename) | |
+shutil.copyfile(filename, '/home/adc/articles/own/2/graphics/' + filename) | |
+print(filename) | |
+ | |
+ |