mirror of
https://bitbucket.org/cosmicvoids/vide_public.git
synced 2025-07-04 15:21:11 +00:00
removed extra plotting routines
This commit is contained in:
P.M. Sutter
parent
131eaace8d
commit
6931fd33fd
5 changed files with 2 additions and 420 deletions
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@ -31,8 +31,8 @@ setup(
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cmdclass = {'build_ext': build_ext},
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cmdclass = {'build_ext': build_ext},
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include_dirs = [np.get_include()],
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include_dirs = [np.get_include()],
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packages=
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packages=
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['void_python_tools','void_python_tools.backend','void_python_tools.apTools', 'void_python_tools.xcor', 'void_python_tools.partUtil',
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['void_python_tools','void_python_tools.backend','void_python_tools.apTools', 'void_python_tools.xcor', 'void_python_tools.voidUtil',
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'void_python_tools.apTools.profiles','void_python_tools.apTools.chi2', 'void_python_tools.plotting'],
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'void_python_tools.apTools.profiles','void_python_tools.apTools.chi2',],
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#ext_modules = [Extension("void_python_tools.chi2.velocityProfileFitNative", ["void_python_tools/chi2/velocityProfileFitNative.pyx"], libraries=["gsl", "gslcblas"]), Extension("void_python_tools.chi2.likelihoo", ["void_python_tools/chi2/likelihood.pyx"], libraries=["gsl", "gslcblas"])]
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#ext_modules = [Extension("void_python_tools.chi2.velocityProfileFitNative", ["void_python_tools/chi2/velocityProfileFitNative.pyx"], libraries=["gsl", "gslcblas"]), Extension("void_python_tools.chi2.likelihoo", ["void_python_tools/chi2/likelihood.pyx"], libraries=["gsl", "gslcblas"])]
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#ext_modules = [
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#ext_modules = [
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# Extension("void_python_tools.apTools.chi2.velocityProfileFitNative",
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# Extension("void_python_tools.apTools.chi2.velocityProfileFitNative",
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@ -19,6 +19,5 @@
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#+
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#+
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from void_python_tools.backend import *
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from void_python_tools.backend import *
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from void_python_tools.apTools import *
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from void_python_tools.apTools import *
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from void_python_tools.plotting import *
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from void_python_tools.xcor import *
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from void_python_tools.xcor import *
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from void_python_tools.voidUtil import *
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from void_python_tools.voidUtil import *
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@ -1,21 +0,0 @@
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#+
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# VIDE -- Void IDentification and Examination -- ./python_tools/void_python_tools/plotting/__init__.py
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# Copyright (C) 2010-2014 Guilhem Lavaux
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# Copyright (C) 2011-2014 P. M. Sutter
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; version 2 of the License.
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#
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#+
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from plotTools import *
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from plotDefs import *
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@ -1,33 +0,0 @@
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#+
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# VIDE -- Void IDentification and Examination -- ./python_tools/void_python_tools/plotting/plotDefs.py
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# Copyright (C) 2010-2014 Guilhem Lavaux
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# Copyright (C) 2011-2014 P. M. Sutter
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; version 2 of the License.
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#
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#+
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LIGHT_SPEED = 299792.458
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colorList = ['r', 'b', 'g', 'y', 'c', 'm',
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'darkred', 'grey',
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'orange', 'darkblue',
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'indigo', 'lightseagreen', 'maroon', 'olive',
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'royalblue', 'palevioletred', 'seagreen', 'tomato',
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'aquamarine', 'darkslateblue',
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'khaki', 'lawngreen', 'mediumorchid',
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'orangered', 'thistle'
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'yellowgreen']
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linewidth = 4
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fontsize = 12
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@ -1,363 +0,0 @@
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#+
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# VIDE -- Void IDentification and Examination -- ./python_tools/void_python_tools/plotting/plotTools.py
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# Copyright (C) 2010-2014 Guilhem Lavaux
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# Copyright (C) 2011-2014 P. M. Sutter
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; version 2 of the License.
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#
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#+
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__all__=['plotRedshiftDistribution', 'plotSizeDistribution', 'plot1dProfiles',
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'plotMarg1d', 'plotNumberDistribution', 'plotVoidDistribution']
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from void_python_tools.backend.classes import *
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from plotDefs import *
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import numpy as np
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import os
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import pylab as plt
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import void_python_tools.apTools as vp
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import void_python_tools.xcor as xcor
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# -----------------------------------------------------------------------------
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def plotRedshiftDistribution(workDir=None, sampleList=None, figDir=None,
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plotNameBase="zdist",
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showPlot=False, dataPortion=None, setName=None):
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plt.ioff()
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maptplotlib.pyplot.switch_backed('Agg')
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plt.clf()
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plt.xlabel("Redshift")
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plt.ylabel("Number of Voids")
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plotTitle = setName
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plotName = plotNameBase
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xMin = 1.e00
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xMax = 0
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for (iSample,sample) in enumerate(sampleList):
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sampleName = sample.fullName
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lineTitle = sampleName
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filename = workDir+"/sample_"+sampleName+"/centers_"+dataPortion+"_"+\
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sampleName+".out"
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if not os.access(filename, os.F_OK):
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print "File not found: ", filename
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continue
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data = np.loadtxt(filename, comments="#")
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if data.ndim == 1:
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print " Too few!"
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continue
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zMin = sample.zRange[0]
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zMax = sample.zRange[1]
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range = (zMin, zMax)
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nbins = np.ceil((zMax-zMin)/0.02)
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thisMax = np.max(data[:,5])
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thisMin = np.min(data[:,5])
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if thisMax > xMax: xMax = thisMax
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if thisMin < xMin: xMin = thisMin
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plt.hist(data[:,5], bins=nbins,
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label=lineTitle, color=colorList[iSample],
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histtype = "step", range=range,
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linewidth=linewidth)
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#plt.legend(title = "Samples", loc = "upper right")
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plt.title(plotTitle)
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plt.xlim(xMin, xMax)
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#plt.xlim(xMin, xMax*1.4) # make room for legend
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plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
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if showPlot:
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os.system("display %s" % figDir+"/fig_"+plotName+".png")
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# -----------------------------------------------------------------------------
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def plotSizeDistribution(workDir=None, sampleList=None, figDir=None,
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plotNameBase="sizedist",
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showPlot=False, dataPortion=None, setName=None):
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plt.ioff()
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maptplotlib.pyplot.switch_backed('Agg')
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plt.clf()
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plt.xlabel("Void Radius (Mpc/h)")
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plt.ylabel("Number of Voids")
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plotTitle = setName
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plotName = plotNameBase
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xMin = 1.e00
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xMax = 0
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for (iSample,sample) in enumerate(sampleList):
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sampleName = sample.fullName
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lineTitle = sampleName
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filename = workDir+"/sample_"+sampleName+"/centers_"+dataPortion+"_"+\
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sampleName+".out"
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if not os.access(filename, os.F_OK):
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print "File not found: ", filename
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continue
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data = np.loadtxt(filename, comments="#")
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if data.ndim == 1:
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print " Too few!"
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continue
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xMin = 5
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xMax = 140
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range = (xMin, xMax)
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nbins = np.ceil((xMax-xMin)/5)
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#thisMax = np.max(data[:,5])
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#thisMin = np.min(data[:,5])
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#if thisMax > xMax: xMax = thisMax
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#if thisMin < xMin: xMin = thisMin
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plt.hist(data[:,4], bins=nbins,
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label=lineTitle, color=colorList[iSample],
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histtype = "step", range=range,
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linewidth=linewidth)
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plt.legend(title = "Samples", loc = "upper right")
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plt.title(plotTitle)
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plt.xlim(xMin, xMax)
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#plt.xlim(xMin, xMax*1.4) # make room for legend
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plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
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if showPlot:
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os.system("display %s" % figDir+"/fig_"+plotName+".png")
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# -----------------------------------------------------------------------------
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def plot1dProfiles(workDir=None, sampleList=None, figDir=None,
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plotNameBase="1dprofile",
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showPlot=False, dataPortion=None, setName=None):
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plt.ioff()
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maptplotlib.pyplot.switch_backed('Agg')
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plt.clf()
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plt.xlabel(r"$R/R_{v,\mathrm{max}}$")
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plt.ylabel(r"$n / \bar n$")
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for (iSample,sample) in enumerate(sampleList):
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sampleName = sample.fullName
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for (iStack,stack) in enumerate(sample.stacks):
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plotTitle = setName
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plotName = plotNameBase
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runSuffix = getStackSuffix(stack.zMin, stack.zMax, stack.rMin,
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stack.rMax, dataPortion)
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plotTitle = sampleName + ", z = "+str(stack.zMin)+"-"+str(stack.zMax)+", R = "+str(stack.rMin)+"-"+str(stack.rMax)+ r" $h^{-1}$ Mpc"
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filename = workDir+"/sample_"+sampleName+"/stacks_"+runSuffix+\
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"profile_1d.txt"
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if not os.access(filename, os.F_OK):
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print "File not found: ", filename
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continue
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data = np.loadtxt(filename, comments="#")
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if data.ndim == 1:
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print " Too few!"
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continue
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data[:,1] /= stack.rMax
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plt.ylim(ymin=0.0, ymax=np.amax(data[:,2])+0.1)
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plt.xlim(xmin=0.0, xmax=2.1)
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plt.plot(data[:,1], data[:,2], label=lineTitle, color=colorList[0],
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linewidth=linewidth)
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plt.title(plotTitle)
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plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
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if showPlot:
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os.system("display %s" % figDir+"/fig_"+plotName+".png")
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# -----------------------------------------------------------------------------
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def plotMarg1d(workDir=None, sampleList=None, figDir=None,
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plotNameBase="marg1d",
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showPlot=False, dataPortion=None, setName=None):
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plt.ioff()
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maptplotlib.pyplot.switch_backed('Agg')
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plotNames = ("Om", "w0", "wa")
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plotTitles = ("$\Omega_M$", "$w_0$", "$w_a$")
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files = ("Om", "w0", "wa")
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for iPlot in range(len(plotNames)):
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plt.clf()
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plotName = plotNameBase+"_"+plotNames[iPlot]+"_"+dataPortion
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plotTitle = plotTitles[iPlot]
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dataFile = workDir + "/likelihoods_"+dataPortion+"_"+files[iPlot]+".dat"
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plt.xlabel(plotTitle, fontsize="20")
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plt.ylabel("Likelihood", fontsize="20")
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plt.ylim(0.0, 1.0)
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data = np.loadtxt(dataFile, comments="#")
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plt.plot(data[:,0], data[:,1], color='k', linewidth=linewidth)
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plt.savefig(figDir+"/fig_"+plotName+".pdf", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".eps", bbox_inches="tight")
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plt.savefig(figDir+"/fig_"+plotName+".png", bbox_inches="tight")
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if showPlot:
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os.system("display %s" % figDir+"/fig_"+plotName+".png")
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# -----------------------------------------------------------------------------
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def plotNumberDistribution(workDir=None, sampleList=None, figDir=None,
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plotNameBase="numberdist",
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showPlot=False, dataPortion=None, setName=None):
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plt.ioff()
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maptplotlib.pyplot.switch_backed('Agg')
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plt.clf()
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plt.xlabel("Void Radius (Mpc/h)")
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plt.ylabel(r"N > R [$h^3$ Mpc$^{-3}$]")
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plotTitle = setName
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plotName = plotNameBase
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plt.yscale('log')
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for (iSample,sample) in enumerate(sampleList):
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sampleName = sample.fullName
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lineTitle = sampleName
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if sample.dataType == "observation":
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boxVol = vp.getSurveyProps(sample.maskFile,
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sample.zBoundary[0], sample.zBoundary[1],
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sample.zRange[0], sample.zRange[1], "all",
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selectionFuncFile=None)[0]
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else:
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boxVol = sample.boxLen*sample.boxLen*(sample.zBoundaryMpc[1] -
|
|
||||||
sample.zBoundaryMpc[0])
|
|
||||||
|
|
||||||
boxVol *= 1.e-9
|
|
||||||
|
|
||||||
filename = workDir+"/sample_"+sampleName+"/untrimmed_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
|
|
||||||
data = data[:,4]
|
|
||||||
indices = np.arange(0, len(data), 1)
|
|
||||||
sorted = np.sort(data)
|
|
||||||
|
|
||||||
plt.plot(sorted, indices[::-1]/boxVol, '-',
|
|
||||||
label=lineTitle, color=colorList[iSample],
|
|
||||||
linewidth=linewidth)
|
|
||||||
|
|
||||||
plt.legend(title = "Samples", loc = "upper right")
|
|
||||||
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 showPlot:
|
|
||||||
os.system("display %s" % figDir+"/fig_"+plotName+".png")
|
|
||||||
|
|
||||||
# -----------------------------------------------------------------------------
|
|
||||||
def plotVoidDistribution(workDir=None, sampleList=None, figDir=None,
|
|
||||||
plotNameBase="dv",
|
|
||||||
showPlot=False, dataPortion=None, setName=None):
|
|
||||||
|
|
||||||
plt.ioff()
|
|
||||||
maptplotlib.pyplot.switch_backed('Agg')
|
|
||||||
Nmesh = 256
|
|
||||||
|
|
||||||
for (iSample,sample) in enumerate(sampleList):
|
|
||||||
plt.clf()
|
|
||||||
plt.xlabel("x (Mpc/h)")
|
|
||||||
plt.ylabel("y (Mpc/h)")
|
|
||||||
|
|
||||||
sampleName = sample.fullName
|
|
||||||
|
|
||||||
plotName = plotNameBase+"_"+sampleName
|
|
||||||
|
|
||||||
filename = workDir+"/sample_"+sampleName+"/untrimmed_centers_"+dataPortion+"_"+\
|
|
||||||
sampleName+".out"
|
|
||||||
|
|
||||||
if not os.access(filename, os.F_OK):
|
|
||||||
print "File not found: ", filename
|
|
||||||
continue
|
|
||||||
|
|
||||||
void_file = open(filename,'r')
|
|
||||||
void_header1 = void_file.readline().split(",")
|
|
||||||
void_data1 = np.reshape(void_file.read().split(),
|
|
||||||
(-1,len(void_header1))).astype(np.float32)
|
|
||||||
void_file.close()
|
|
||||||
|
|
||||||
xv = void_data1[:,0:3]
|
|
||||||
rv = void_data1[:,4]
|
|
||||||
vv = void_data1[:,6]
|
|
||||||
dv, wm, ws = xcor.cic(xv, sample.boxLen, Lboxcut = 0., Nmesh = Nmesh)
|
|
||||||
plt.imshow(np.sum(dv+1,2)/Nmesh,extent=[0,sample.boxLen,0,sample.boxLen],
|
|
||||||
aspect='equal',
|
|
||||||
cmap='YlGnBu_r',interpolation='gaussian')
|
|
||||||
plt.colorbar()
|
|
||||||
|
|
||||||
plt.title("Voids: "+sampleName)
|
|
||||||
|
|
||||||
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 showPlot:
|
|
||||||
os.system("display %s" % figDir+"/fig_"+plotName+".png")
|
|
||||||
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue