def plot(case,ref,r):
MC = 'MC_'+case+'.samples'
HCs = ['HC_'+case+'.moments']
TDs = ['TD_'+case+'.moments']
xs=[]
ys=[]
lbl=[]
x,y=pltMC(MC,'MC',ref=ref,r=r)
xs.append(x)
ys.append(y)
lbl.append('MC_'+case)
for h in HCs:
x,y=addPlot(h,'HC_iso',ref=ref,r=r)#+h.split('.')[0].split('_')[1],ref=ref)
xs.append(x)
ys.append(y)
lbl.append('HC_iso_'+case)
for h in TDs:
x,y=addPlot(h,'TD_iso',ref=ref,r=r)#+h.split('.')[0].split('_')[1],ref=ref)
xs.append(x)
ys.append(y)
lbl.append('TD_iso_'+case)
pk.dump([xs,ys,lbl],file(case+'.pk','w'))
plt.title(case)
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
def slnerrplot(cases, title, N, xlim, sylim, eylim, ref, mom, alpha=0.5):
slnplot = plt.figure()
errplot = plt.figure()
plt.figure(errplot.number)
for cname, cfile in cases.iteritems():
ary = cname.split('.')[0].split('_')
if ary[0] == 'MC':
pltMC(cname,
cfile,
'MC',
ref=ref,
r=mom,
slnfig=slnplot,
alpha=alpha)
elif ary[0] in ['HC', 'TD'] and 'anis' not in ary:
ary = ary[0] #.remove(ary[1])
addPlot(cname, cfile, ary, ref=ref, r=mom, slnfig=slnplot)
elif ary[0] == 'hdmr' and 'anis' not in ary:
namelist = cname.split('.')[0].split('_')
name = '_'.join([namelist[0], namelist[1], namelist[-1]])
addHDMR(cname, cfile, name, ref=ref, r=mom, slnfig=slnplot)
elif 'anis' in ary and 'hdmr' not in ary:
lbl = ary[0] + '_aniso'
addAnis(cname, cfile, lbl, ref=ref, r=mom, slnfig=slnplot)
plt.title(r'Error in $\mathbb{E}[u^%i]$; %s, $N$=%i'\
%(mom,title,N))
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.xlim(xlim)
plt.ylim(eylim)
plt.legend(loc=3)
plt.figure(slnplot.number)
plt.title(r'Solution for $\mathbb{E}[u^%i]$; %s, $N$=%i'\
%(mom,title,N))
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel(r'$\mathbb{E}[u^%i]$' % mom)
plt.legend(loc=4)
plt.xlim(xlim)
plt.ylim(sylim)
plt.gca().set_xscale('log')
def slnerrplot(cases,title,N,xlim,sylim,eylim,ref,mom,alpha=0.5):
slnplot=plt.figure()
errplot=plt.figure()
plt.figure(errplot.number)
for cname,cfile in cases.iteritems():
ary=cname.split('.')[0].split('_')
if ary[0]=='MC':
pltMC(cname,cfile,'MC',ref=ref,r=mom,slnfig=slnplot,alpha=alpha)
elif ary[0] in ['HC','TD'] and 'anis' not in ary:
ary=ary[0]#.remove(ary[1])
addPlot(cname,cfile,ary,ref=ref,r=mom,slnfig=slnplot)
elif ary[0]=='hdmr' and 'anis' not in ary:
namelist = cname.split('.')[0].split('_')
name = '_'.join([namelist[0],namelist[1],namelist[-1]])
addHDMR(cname,cfile,name,ref=ref,r=mom,slnfig=slnplot)
elif 'anis' in ary and 'hdmr' not in ary:
lbl=ary[0]+'_aniso'
addAnis(cname,cfile,lbl,ref=ref,r=mom,slnfig=slnplot)
plt.title(r'Error in $\mathbb{E}[u^%i]$; %s, $N$=%i'\
%(mom,title,N))
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.xlim(xlim)
plt.ylim(eylim)
plt.legend(loc=3)
plt.figure(slnplot.number)
plt.title(r'Solution for $\mathbb{E}[u^%i]$; %s, $N$=%i'\
%(mom,title,N))
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel(r'$\mathbb{E}[u^%i]$' %mom)
plt.legend(loc=4)
plt.xlim(xlim)
plt.ylim(sylim)
plt.gca().set_xscale('log')
from plot1 import addPlot
from plotMC import addPlot as pltMC
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h5_iso.samples'
plots= ['HC_h5_iso.moments',
'HC_h5_1-1-2-1-1.moments',
'HC_h5_1-1-4-4-8.moments',
'HC_h5_1-1-2-2-4.moments',
'HC_h5_8-8-4-4-1.moments']
ref=[0,1.0013454858344246,1.8647257169268627e-04]
for p in plots:
addPlot(p,p.split('_')[2].split('.')[0],ref=ref,r=2)
pltMC(MC,'MC',ref=ref,r=2)
xs=np.linspace(2,32000,3)
ysMC = 1e-2/np.sqrt(xs)
ysHC1 = 1e-0*xs**(-3)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-4}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in $k$; $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
plt.axis([1,1e4,1e-7,2])
plt.show()
ref[1] = float(ref[1])
ref[2] = float(ref[2])
slnplot = plt.figure()
errplot = plt.figure()
plt.figure(errplot.number)
for line in file('list.inp', 'r'):
fname = line.strip()
ary = fname.split('.')[0].split('_')
if ary[0] == 'MC':
pltMC(fname, 'MC', ref=ref, slnfig=slnplot)
elif ary[0] in ['HC', 'TD']:
ary.remove(ary[1])
print ary
addPlot(fname, '_'.join(ary), ref=ref, slnfig=slnplot)
elif ary[0] == 'hdmr':
addHDMR(fname, fname.split('.')[0], ref=ref, slnfig=slnplot)
#addPlot(MC,'MC',ref=ref)
#for h in HCs:
# addPlot(h,'HC_iso',ref=ref,slnfig=slnplot)
#for h in TDs:
# addPlot(h,'TD_iso',ref=ref,slnfig=slnplot)
#for h in anis:
# addPlot(h,h.split('_')[0]+'_aniso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
#pltMC(MC,'MC',ref=ref,slnfig=slnplot)
#xs=np.linspace(2,32000,3)
#ysMC = 1e-2/np.sqrt(xs)
r = 2
MC = 'MC_h5_iso.samples'
isos = ['HC_h5_iso.moments', 'TD_h5_iso.moments']
anis = ['HC_h5_aniso.moments', 'TD_h5_aniso.moments']
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
#ref=[0,1.0025998595112884,1.7000448118653644e-04]
ref = [6661, 1.0013454858344246e+00, 1.8647257169268627e-04]
#addPlot(MC,'MC',ref=ref)
for h in isos:
addPlot(h, h.split('_')[0] + '_iso', ref=ref, r=r)
for h in anis:
addPlot(h, h.split('_')[0] + '_aniso', ref=ref, r=r)
pltMC(MC, 'MC', ref=ref, r=r)
xs = np.linspace(2, 32000, 3)
ysMC = 2e-0 / np.sqrt(xs)
ysHC1 = 2e1 * xs**(-2)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-2}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in var($k$); $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
MC = 'MC_h5_iso.samples'
isos = ['HC_h5_iso.moments',
'TD_h5_iso.moments']
anis = ['HC_h5_aniso.moments',
'TD_h5_aniso.moments']
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
#ref=[0,1.0025998595112884,1.7000448118653644e-04]
ref=[6661,1.0013454858344246e+00,1.8647257169268627e-04]
#addPlot(MC,'MC',ref=ref)
for h in isos:
addPlot(h,h.split('_')[0]+'_iso',ref=ref,r=r)
for h in anis:
addPlot(h,h.split('_')[0]+'_aniso',ref=ref,r=r)
pltMC(MC,'MC',ref=ref,r=r)
xs=np.linspace(2,32000,3)
ysMC = 2e-0/np.sqrt(xs)
ysHC1 = 2e1*xs**(-2)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-2}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in var($k$); $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h5_iso.samples'
HCs = ['HC_h5_iso.moments']
anis = ['HC_h5_1124244884.moments',
'HC_h5_1234244554.moments']
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
ref=[0,9.3045730355252931e-01,1.2261150319231584e-03]
#addPlot(MC,'MC',ref=ref)
for h in HCs:
addPlot(h,'HC_iso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
#for h in TDs:
# addPlot(h,'TD_iso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
for h in anis:
addPlot(h,h.split('_')[0]+'_'+h.split('_')[-1].split('.')[0],ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
pltMC(MC,'MC',ref=ref)
#xs=np.linspace(2,32000,3)
#ysMC = 1e-2/np.sqrt(xs)
#ysHC1 = 1e-0*xs**(-3)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-4}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in $k$; $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
from plotMC import addPlot as pltMC
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h5_iso.samples'
HCs = ['HC_h5_iso.moments']
r = 2
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
ref = [0, 1.0013454858344246, 1.8647257169268627e-04]
#addPlot(MC,'MC',ref=ref)
for h in HCs:
addPlot(h, 'HC', ref=ref, r=r) #+h.split('.')[0].split('_')[1],ref=ref)
pltMC(MC, 'MC', ref=ref, r=r)
xs = np.linspace(2, 32000, 3)
ysMC = 1e-2 / np.sqrt(xs)
ysHC1 = 2e-4 * xs**(-1)
#ysHC2 = 5e-5*xs**(-0.5)
plt.loglog(xs, ysMC, 'k:', label=r'$c\ \eta^{-1/2}$')
plt.loglog(xs, ysHC1, 'k-.', label=r'$c\ \eta^{-1}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in $k$; $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
plt.show()
from plot1 import addPlot
import matplotlib.pyplot as plt
import numpy as np
varNs = [
'1xc2', '1xf2', '2xc2', '2xf2', '3xc2', '3xf2', '4xc2', '4xf2', '5D2',
'5xc2'
]
keys = ['b-o', 'b:o', 'r-o', 'r:o', 'g-o', 'g:o', 'y-o', 'y:o', 'k-o', 'k:o']
for v, var in enumerate(varNs):
inpN = 'HC_h5_' + var + '.moments'
addPlot(inpN, var, key=keys[v])
plt.legend(loc=1)
plt.axis([1, 20, 1e-11, 1e-2])
plt.show()
from plot1 import addPlot
from plotMC import addPlot as pltMC
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h5_iso.samples'
plots = [
'HC_h5_iso.moments', 'HC_h5_1-1-2-1-1.moments', 'HC_h5_1-1-4-4-8.moments',
'HC_h5_1-1-2-2-4.moments', 'HC_h5_8-8-4-4-1.moments'
]
ref = [0, 1.0013454858344246, 1.8647257169268627e-04]
for p in plots:
addPlot(p, p.split('_')[2].split('.')[0], ref=ref, r=2)
pltMC(MC, 'MC', ref=ref, r=2)
xs = np.linspace(2, 32000, 3)
ysMC = 1e-2 / np.sqrt(xs)
ysHC1 = 1e-0 * xs**(-3)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-4}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in $k$; $N$=5, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
plt.axis([1, 1e4, 1e-7, 2])
plt.show()
ref[0] = int(ref[0])
ref[1] = float(ref[1])
ref[2] = float(ref[2])
slnplot = plt.figure()
errplot = plt.figure()
plt.figure(errplot.number)
for line in file('list.inp', 'r'):
fname = line.strip()
ary = fname.split('.')[0].split('_')
if ary[0] == 'MC':
pltMC(fname, 'MC', ref=ref, slnfig=slnplot)
elif ary[0] in ['HC', 'TD']:
ary = ary[0] #.remove(ary[1])
addPlot(fname, ary, ref=ref, slnfig=slnplot)
elif ary[0] == 'hdmr':
addHDMR(fname, fname.split('.')[0], ref=ref, slnfig=slnplot)
#addPlot(MC,'MC',ref=ref)
#for h in HCs:
# addPlot(h,'HC_iso',ref=ref,slnfig=slnplot)
#for h in TDs:
# addPlot(h,'TD_iso',ref=ref,slnfig=slnplot)
#for h in anis:
# addPlot(h,h.split('_')[0]+'_aniso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
#pltMC(MC,'MC',ref=ref,slnfig=slnplot)
#xs=np.linspace(2,32000,3)
#ysMC = 1e-2/np.sqrt(xs)
ref[1]=float(ref[1])
ref[2]=float(ref[2])
slnplot=plt.figure()
errplot=plt.figure()
plt.figure(errplot.number)
for line in file('list.inp','r'):
fname = line.strip()
ary=fname.split('.')[0].split('_')
if ary[0]=='MC':
pltMC(fname,'MC',ref=ref,slnfig=slnplot)
elif ary[0] in ['HC','TD']:
ary.remove(ary[1])
print ary
addPlot(fname,'_'.join(ary),ref=ref,slnfig=slnplot)
elif ary[0]=='hdmr':
addHDMR(fname,fname.split('.')[0],ref=ref,slnfig=slnplot)
#addPlot(MC,'MC',ref=ref)
#for h in HCs:
# addPlot(h,'HC_iso',ref=ref,slnfig=slnplot)
#for h in TDs:
# addPlot(h,'TD_iso',ref=ref,slnfig=slnplot)
#for h in anis:
# addPlot(h,h.split('_')[0]+'_aniso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
#pltMC(MC,'MC',ref=ref,slnfig=slnplot)
#xs=np.linspace(2,32000,3)
#ysMC = 1e-2/np.sqrt(xs)
from plot1 import addPlot
from plotMC import addPlot as pltMC
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h47_src.samples'
HC = 'TD_h47_src.moments'
ref=[0,0.019354814806,3.85792294471e-07]
#addPlot(MC,'MC',ref=ref)
addPlot(HC,'HC',ref=ref)
pltMC(MC,'MC',ref=ref)
xs=np.linspace(2,32000,3)
ysMC = 1e-2/np.sqrt(xs)
ysHC = 1e-3*xs**(-0.3)
plt.loglog(xs,ysMC,'k:',label=r'$C_1\eta^{-1/2}$')
plt.loglog(xs,ysHC,'k-.',label=r'$C_2\eta^{-3/10}$')
plt.title(r'Error in $k$; $N$=2, $h$=3/55')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend()
plt.show()
from plot1 import addPlot
from plotMC import addPlot as pltMC
import matplotlib.pyplot as plt
import numpy as np
MC = 'MC_h47_src.samples'
HC = 'TD_h47_src.moments'
ref = [0, 0.019354814806, 3.85792294471e-07]
#addPlot(MC,'MC',ref=ref)
addPlot(HC, 'HC', ref=ref)
pltMC(MC, 'MC', ref=ref)
xs = np.linspace(2, 32000, 3)
ysMC = 1e-2 / np.sqrt(xs)
ysHC = 1e-3 * xs**(-0.3)
plt.loglog(xs, ysMC, 'k:', label=r'$C_1\eta^{-1/2}$')
plt.loglog(xs, ysHC, 'k-.', label=r'$C_2\eta^{-3/10}$')
plt.title(r'Error in $k$; $N$=2, $h$=3/55')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend()
plt.show()
HCs = [] #'HC_h5_N5_iso.moments']
TDs = [] #'TD_h1_thirty15.moments']
hdmr = ['hdmr_TD_N30_H1.out', 'hdmr_TD_N30_H2.out', 'hdmr_TD_N30_H3.out']
# 'hdmr_TD_N15_H5.out']
#'hdmr_TD_N5_H2.out']
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
N = 30
ref = [0, (0.2 * N * (np.exp(-1. / N) - np.exp(-6. / N)))**N]
print 'mean', ref[1]
pltMC(MC, 'MC', ref=ref)
for h in HCs:
addPlot(h, 'HC_iso', ref=ref) #+h.split('.')[0].split('_')[1],ref=ref)
for h in TDs:
addPlot(h, 'TD_iso', ref=ref) #+h.split('.')[0].split('_')[1],ref=ref)
for h in hdmr:
addHDMR(h, h.split('.')[0], ref=ref)
#for h in anis:
# addPlot(h,h.split('_')[0]+'_aniso',ref=ref)#+h.split('.')[0].split('_')[1],ref=ref)
#pltMC(MC,'MC',ref=ref)
#xs=np.linspace(10,32000,3)
#ysMC = 2e-0/np.sqrt(xs)
#ysHC1 = 1e-0*xs**(-3)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-4}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
import matplotlib.pyplot as plt
import numpy as np
r=2
MC = 'MC_h5_N1_iso.samples'
HCs = ['HC_h5_N1_iso.moments']
TDs = ['TD_h5_N1_iso.moments']
#HCs = ['HC_h1_iso.moments',
# 'HC_h3_iso.moments',
# 'HC_h5_iso.moments']
ref=[0,1.0010574538553680e+00,7.1917735918303194e-05]
for h in HCs:
addPlot(h,'HC_iso',ref=ref,r=r)#+h.split('.')[0].split('_')[1],ref=ref)
for t in TDs:
addPlot(t,'TD_iso',ref=ref,r=r)#+h.split('.')[0].split('_')[1],ref=ref)
pltMC(MC,'MC',ref=ref)
#xs=np.linspace(2,32000,3)
#ysMC = 1e-2/np.sqrt(xs)
#ysHC1 = 1e-0*xs**(-3)
#ysHC2 = 5e-5*xs**(-0.5)
#plt.loglog(xs,ysMC,'k:',label=r'$c\ \eta^{-1/2}$')
#plt.loglog(xs,ysHC1,'k-.',label=r'$c\ \eta^{-4}$')
#plt.loglog(xs,ysHC2,'k:')#,label=r'$C_2\eta^{-1/2}$')
plt.title(r'Error in var($k$); $N$=1, $h\sim$0.018')
plt.xlabel(r'PDE Solves $\eta$')
plt.ylabel('Rel. Error')
plt.legend(loc=3)
from plot1 import addPlot
import matplotlib.pyplot as plt
import numpy as np
varNs = ['1xc2','1xf2',
'2xc2','2xf2',
'3xc2','3xf2',
'4xc2','4xf2',
'5D2','5xc2']
keys = ['b-o','b:o',
'r-o','r:o',
'g-o','g:o',
'y-o','y:o',
'k-o','k:o']
for v,var in enumerate(varNs):
inpN = 'HC_h5_'+var+'.moments'
addPlot(inpN,var,key=keys[v])
plt.legend(loc=1)
plt.axis([1,20,1e-11,1e-2])
plt.show()
