added more tools and plotting for cross-comparison catalog analysis

This commit is contained in:
P.M. Sutter 2013-09-06 20:02:46 -05:00
parent 4ac04bbde5
commit b87a426508
10 changed files with 1224 additions and 267 deletions

View file

@ -0,0 +1,135 @@
#!/usr/bin/env python
# plots cumulative distributions of number counts
import matplotlib
matplotlib.use('Agg')
from void_python_tools.backend import *
from void_python_tools.plotting import *
import void_python_tools.apTools as vp
import imp
import pickle
import os
import matplotlib.pyplot as plt
import numpy as np
import argparse
from globalOptions import *
# plots the ratio of ellipticities for matched voids
# ------------------------------------------------------------------------------
parser = argparse.ArgumentParser(description='Plot.')
parser.add_argument('--show', dest='showPlot', action='store_const',
const=True, default=False,
help='display the plot (default: just write eps)')
parser.add_argument('--parm', dest='parm', default='datasetsToPlot.py',
help='path to parameter file')
args = parser.parse_args()
# ------------------------------------------------------------------------------
print "Plotting ellipticity ratio"
filename = args.parm
print " Loading parameters from", filename
if not os.access(filename, os.F_OK):
print " Cannot find parameter file %s!" % filename
exit(-1)
parms = imp.load_source("name", filename)
globals().update(vars(parms))
if not os.access(figDir, os.F_OK):
os.makedirs(figDir)
dataSampleList = []
compareSampleList = []
with open(workDir+baseSampleDir+"/sample_info.dat", 'rb') as input:
baseSample = pickle.load(input)
for sampleDir in sampleDirList:
with open(workDir+sampleDir+"/sample_info.dat", 'rb') as input:
thisSample = pickle.load(input)
if compareSampleTag in thisSample.fullName:
compareSampleList.append(thisSample)
else:
dataSampleList.append(thisSample)
plt.clf()
numSubPlots = len(dataSampleList)
fig, axesList = plt.subplots(numSubPlots, sharex=True, sharey=True)
axesList = np.atleast_1d(axesList)
for (iSample,sample) in enumerate(dataSampleList):
if sample.fullName == baseSample.fullName: continue
sampleName = sample.fullName
lineTitle = sample.nickName[:-10]
# plt.xlabel("Void Radius [Mpc/h]")
# plt.ylabel(r"1st Progenitor Relative Ellipticity")
#plt.yscale('log')
# plt.xlim(xmax=rMax)
plt.xlim(rMin, rMax)
plotNameBase = "matchrelellip"
plotName = plotNameBase + "_" + plotLabel# + "_" + sampleName
filename = outputDir+"/voidOverlap_"+baseSample.fullName+"_"+sampleName+"_summary.out"
if not os.access(filename, os.F_OK):
print "File not found: ", filename
continue
data = np.loadtxt(filename, comments="#")
if data.ndim == 1:
print " Too few!"
continue
# find a sample to compare it to
for compareSample in compareSampleList:
if compareSample.nickName[:10] == sample.nickName[:10]:
filename = outputDir+"/voidOverlap_"+baseSample.fullName+"_"+compareSample.fullName+"_summary.out"
compareData = np.loadtxt(filename, comments="#")
axesList[iSample].scatter(compareData[:,1], compareData[:,10],
color='blue', alpha=alpha, s=pointsize)
#plt.scatter(data[:,1], data[:,10],
# label=lineTitle, color=colorList[iSample])
axesList[iSample].scatter(data[:,1], data[:,10],
label=lineTitle, color='red', alpha=alpha, s=pointsize)
axesList[iSample].legend(loc = "upper left", prop={'size':10})
plt.ylim(0., 4.0)
yticks = axesList[iSample].yaxis.get_major_ticks()
yticks[-1].label1.set_visible(False)
yticks[0].label1.set_visible(False)
#axesList[iSample].set_xlim([20,rMax])
fig.subplots_adjust(hspace=0)
plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
axesList[0].set_title(plotTitle, fontsize=14)
#axesList[0].set_title("Match ellipticity ratio - "+plotTitle)
fig.text(0.5, 0.04, r'$R_{eff}$ [$h^{-1}$Mpc]', ha='center', va='center', fontsize=14)
fig.text(0.06, 0.5, 'Match Ellipticity Ratio', ha='center', va='center', rotation='vertical', fontsize=14)
#plt.legend(title = "Samples", loc = "upper left", prop={'size':8})
#plt.title("Match ellipticity ratio - "+plotTitle+" - "+sample.nickName)
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")
if args.showPlot:
os.system("display %s" % figDir+"/fig_"+plotName+".png")