mirror of
https://bitbucket.org/cosmicvoids/vide_public.git
synced 2025-07-04 15:21:11 +00:00
118 lines
3.9 KiB
Python
118 lines
3.9 KiB
Python
#+
|
|
# VIDE -- Void IDEntification pipeline -- ./crossCompare/plotting/plotDensConVsR.py
|
|
# Copyright (C) 2010-2013 Guilhem Lavaux
|
|
# Copyright (C) 2011-2013 Paul M. Sutter
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by
|
|
# the Free Software Foundation; either version 2 of the License, or
|
|
# (at your option) any later version.
|
|
#
|
|
# This program is distributed in the hope that it will be useful,
|
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
# GNU General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License along
|
|
# with this program; if not, write to the Free Software Foundation, Inc.,
|
|
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
|
|
#+
|
|
#!/usr/bin/env python
|
|
|
|
# plots cumulative distributions of number counts versus density contrast
|
|
|
|
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
|
|
|
|
# ------------------------------------------------------------------------------
|
|
|
|
plotNameBase = "densconvsr"
|
|
|
|
obsFudgeFactor = .66 # what fraction of the volume are we *reall* capturing?
|
|
|
|
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('--parmFile', dest='parmFile', default='datasetsToPlot.py',
|
|
help='path to parameter file')
|
|
args = parser.parse_args()
|
|
|
|
# ------------------------------------------------------------------------------
|
|
|
|
filename = args.parmFile
|
|
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 = []
|
|
|
|
for sampleDir in sampleDirList:
|
|
with open(workDir+sampleDir+"/sample_info.dat", 'rb') as input:
|
|
dataSampleList.append(pickle.load(input))
|
|
|
|
plt.clf()
|
|
plt.ylabel("Void Density Contrast")
|
|
plt.xlabel("Void Radius [Mpc/h]")
|
|
#plt.xlim(xmax=5.)
|
|
plt.yscale('log')
|
|
|
|
plotName = plotNameBase
|
|
|
|
for (iSample,sample) in enumerate(dataSampleList):
|
|
|
|
sampleName = sample.fullName
|
|
lineTitle = sampleName
|
|
|
|
if sample.dataType == "observation":
|
|
boxVol = vp.getSurveyProps(sample.maskFile,
|
|
sample.zBoundary[0], sample.zBoundary[1],
|
|
sample.zRange[0], sample.zRange[1], "all",
|
|
selectionFuncFile=sample.selFunFile)[0]
|
|
boxVol *= obsFudgeFactor
|
|
else:
|
|
boxVol = sample.boxLen*sample.boxLen*(sample.zBoundaryMpc[1] -
|
|
sample.zBoundaryMpc[0])
|
|
|
|
boxVol *= 1.e-9 # Mpc->Gpc
|
|
|
|
print " Loading", sampleName
|
|
filename = workDir+"/"+sampleDirList[iSample]+"/centers_"+dataPortion+"_"+\
|
|
sampleName+".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
|
|
|
|
plt.plot(data[:,4], data[:,8], '-',
|
|
label=lineTitle, color=colorList[iSample],
|
|
linewidth=linewidth)
|
|
|
|
plt.legend(title = "Samples", loc = "upper right", prop={'size':8})
|
|
#plt.title(plotTitle)
|
|
|
|
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")
|
|
|
|
|