guilhem_lavaux/vide_public
0
0
Fork 0
mirror of https://bitbucket.org/cosmicvoids/vide_public.git synced 2025-07-04 15:21:11 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

added plot of ellipticity distribution

Browse source
This commit is contained in:
P.M. Sutter 2014-05-26 08:23:09 -04:00
parent 4b2c31faff
commit c8f1f2259a
1 changed files with 50 additions and 9 deletions
Download patch file Download diff file Expand all files Collapse all files

59
python_tools/void_python_tools/voidUtil/plotUtil.py
View file

@ -17,7 +17,7 @@
# with this program; if not, write to the Free Software Foundation, Inc., # with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#+ #+
__all__=['plotNumberFunction',] __all__=['plotNumberFunction','plotEllipDist',]
from void_python_tools.backend.classes import * from void_python_tools.backend.classes import *
from plotDefs import * from plotDefs import *
@ -53,7 +53,7 @@ def plotNumberFunction(catalogList,
# cumulative: if True, plots cumulative number function # cumulative: if True, plots cumulative number function
# binWidth: width of histogram bins in Mpc/h # binWidth: width of histogram bins in Mpc/h
# returns: # returns:
# numberFuncList: array of len(catalogList), # ellipDistList: array of len(catalogList),
# each element has array of size bins, number, +/- 1 sigma # each element has array of size bins, number, +/- 1 sigma
print "Plotting number function" print "Plotting number function"
@ -66,7 +66,7 @@ def plotNumberFunction(catalogList,
else: else:
plt.ylabel(r"log ($dn/dR$ [$h^3$ Gpc$^{-3}$])", fontsize=14) plt.ylabel(r"log ($dn/dR$ [$h^3$ Gpc$^{-3}$])", fontsize=14)
numberFuncList = [] ellipDistList = []
for (iSample,catalog) in enumerate(catalogList): for (iSample,catalog) in enumerate(catalogList):
sample = catalog.sampleInfo sample = catalog.sampleInfo
@ -127,13 +127,54 @@ def plotNumberFunction(catalogList,
plt.plot(binCentersToUse, mean, lineStyle, plt.plot(binCentersToUse, mean, lineStyle,
color=lineColor, color=lineColor,
linewidth=3) linewidth=3)
ellipDistList.append((binCentersToUse, mean, lower, upper))
plt.legend(loc = "upper right", fancybox=True, prop={'size':14}) plt.legend(loc = "upper right", fancybox=True, prop={'size':14})
plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight") plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight") plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight") plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
numberFuncList.append((binCentersToUse, mean, lower, upper)) return ellipDistList
return numberFuncList
# -----------------------------------------------------------------------------
def plotEllipDist(catalogList,
figDir="./",
plotName="ellipdist"):
# plots ellipticity distributions
# catalogList: list of void catalogs to plot
# figDir: output directory for figures
# plotName: name to prefix to all outputs
# returns:
# ellipDistList: array of len(catalogList),
# each element has array of ellipticity distributions
print "Plotting ellipticity distributions"
plt.clf()
plt.xlabel(r"Ellipticity $\epsilon$", fontsize=14)
plt.ylabel(r"P($\epsilon$)", fontsize=14)
ellipDistList = []
for (iSample,catalog) in enumerate(catalogList):
sample = catalog.sampleInfo
data = getArray(catalog.voids, 'ellipticity')
dataWeights = np.ones_like(data)/len(data)
dataHist, dataBins = np.histogram(data, bins=10, weights=dataWeights,
range=(0.0,0.35))
plt.plot(dataBins, dataHist, label=sample.fullName,
color=colorList[iSample])
ellipDistList.append((dataBins, dataHist,))
plt.legend(loc = "upper right", fancybox=True, prop={'size':14})
plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")