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plot fixes in xcor

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P.M. Sutter 2014-05-29 13:52:59 -05:00
parent 37462dd37e
commit 3fa193958b
2 changed files with 11 additions and 7 deletions
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5
python_tools/void_python_tools/voidUtil/catalogUtil.py
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@ -344,8 +344,7 @@ def loadVoidCatalog(sampleDir, dataPortion="central", loadParticles=True,
eigenVecs = np.zeros((3,3)), eigenVecs = np.zeros((3,3)),
)) ))
catalog.numVoids = len(catalog.voids) print "Read %d voids" % len(catalog.voids)
print "Read %d voids" % catalog.numVoids
print "Loading barycenters..." print "Loading barycenters..."
iLine = 0 iLine = 0
@ -462,7 +461,7 @@ def getArray(objectList, attr):
attrArr[:,idim] = np.fromiter((np.atleast_1d(getattr(v, attr))[idim] \ attrArr[:,idim] = np.fromiter((np.atleast_1d(getattr(v, attr))[idim] \
for v in objectList), float ) for v in objectList), float )
if ndim == 1: attrArr = attrArr[:,0] if ndim == 1: attrArr = attArr[:,0]
return attrArr return attrArr
else: else:

13
python_tools/void_python_tools/voidUtil/xcorUtil.py
View file

@ -1,6 +1,5 @@
import numpy as np import numpy as np
import matplotlib as mpl import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import matplotlib.cm as cm import matplotlib.cm as cm
from matplotlib import rc from matplotlib import rc
@ -66,14 +65,18 @@ def computeXcor(catalog,
plt.xlabel(r'$x \;[h^{-1}\mathrm{Mpc}]$') plt.xlabel(r'$x \;[h^{-1}\mathrm{Mpc}]$')
plt.ylabel(r'$y \;[h^{-1}\mathrm{Mpc}]$') plt.ylabel(r'$y \;[h^{-1}\mathrm{Mpc}]$')
plt.title(r'Dark matter') plt.title(r'Dark matter')
plt.savefig(figDir+'/dm.eps', format='eps', bbox_inches="tight") plt.savefig(figDir+'/dm.eps', bbox_inches="tight")
plt.savefig(figDir+'/dm.pdf', bbox_inches="tight")
plt.savefig(figDir+'/dm.png', bbox_inches="tight")
plt.clf() plt.clf()
plt.imshow(np.sum(dv[:,:,:]+1,2)/Nmesh,extent=[0,Lbox,0,Lbox],aspect='equal',cmap='YlGnBu_r',interpolation='gaussian') plt.imshow(np.sum(dv[:,:,:]+1,2)/Nmesh,extent=[0,Lbox,0,Lbox],aspect='equal',cmap='YlGnBu_r',interpolation='gaussian')
plt.xlabel(r'$x \;[h^{-1}\mathrm{Mpc}]$') plt.xlabel(r'$x \;[h^{-1}\mathrm{Mpc}]$')
plt.ylabel(r'$y \;[h^{-1}\mathrm{Mpc}]$') plt.ylabel(r'$y \;[h^{-1}\mathrm{Mpc}]$')
plt.title(r'Voids') plt.title(r'Voids')
plt.savefig(figDir+'/dv.eps', format='eps', bbox_inches="tight") #, dpi=300 plt.savefig(figDir+'/dv.eps', bbox_inches="tight") #, dpi=300
plt.savefig(figDir+'/dv.pdf', bbox_inches="tight") #, dpi=300
plt.savefig(figDir+'/dv.png', bbox_inches="tight") #, dpi=300
plt.clf() plt.clf()
@ -95,7 +98,9 @@ def computeXcor(catalog,
plt.xlim(kmin,kmax) plt.xlim(kmin,kmax)
plt.ylim(10**np.floor(np.log10(abs(Pvm[1:]).min()))/margin, max(10**np.ceil(np.log10(Pmm.max())),10**np.ceil(np.log10(Pvv.max())))*margin) plt.ylim(10**np.floor(np.log10(abs(Pvm[1:]).min()))/margin, max(10**np.ceil(np.log10(Pmm.max())),10**np.ceil(np.log10(Pvv.max())))*margin)
plt.legend([pa, pb, pc],['tt', 'vt', 'vv'],'best',prop={'size':12}) plt.legend([pa, pb, pc],['tt', 'vt', 'vv'],'best',prop={'size':12})
plt.savefig(figDir+'/power.eps', format='eps', bbox_inches="tight") plt.savefig(figDir+'/power.eps', bbox_inches="tight")
plt.savefig(figDir+'/power.pdf', bbox_inches="tight")
plt.savefig(figDir+'/power.png', bbox_inches="tight")
plt.clf() plt.clf()
pa ,= plt.plot(rm, Xmm, 'k-o', ms=0.8*ms, mew=mew) pa ,= plt.plot(rm, Xmm, 'k-o', ms=0.8*ms, mew=mew)