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118 lines
4 KiB
Python
118 lines
4 KiB
Python
#+
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# VIDE -- Void IDentification and Examination -- ./python_tools/void_python_tools/plotting/plotTools.py
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# Copyright (C) 2010-2013 Guilhem Lavaux
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# Copyright (C) 2011-2013 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__=['plotNumberFunction',]
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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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from void_python_tools.voidUtil import getArray
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def fill_between(x, y1, y2=0, ax=None, **kwargs):
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"""Plot filled region between `y1` and `y2`.
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This function works exactly the same as matplotlib's fill_between, except
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that it also plots a proxy artist (specifically, a rectangle of 0 size)
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so that it can be added it appears on a legend.
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"""
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ax = ax if ax is not None else plt.gca()
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ax.fill_between(x, y1, y2, interpolate=True, **kwargs)
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p = plt.Rectangle((0, 0), 0, 0, **kwargs)
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ax.add_patch(p)
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# -----------------------------------------------------------------------------
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def plotNumberFunction(catalogList, figDir="./",
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plotName="numberfunc",
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dataPortion="central"):
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print "Plotting number function"
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plt.clf()
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plt.xlabel("$R_{eff}$ [$h^{-1}Mpc$]", fontsize=14)
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plt.ylabel(r"log ($n$ (> R) [$h^3$ Gpc$^{-3}$])", fontsize=14)
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for (iSample,catalog) in enumerate(catalogList):
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sample = catalog.sampleInfo
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data = getArray(catalog.voids, 'radius')
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if sample.dataType == "observation":
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maskFile = sample.maskFile
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boxVol = vp.getSurveyProps(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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#selectionFuncFile=sample.selFunFile)[0]
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boxVol *= obsFudgeFactor
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else:
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boxVol = sample.boxLen*sample.boxLen*(sample.zBoundaryMpc[1] -
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sample.zBoundaryMpc[0])
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boxVol *= 1.e-9 # Mpc->Gpc
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bins = 100./5.
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hist, binEdges = np.histogram(data, bins=bins, range=(0., 100.))
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binCenters = 0.5*(binEdges[1:] + binEdges[:-1])
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foundStart = False
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for iBin in xrange(len(hist)):
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if not foundStart and hist[iBin] == 0:
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continue
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foundStart = True
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hist[iBin] = np.sum(hist[iBin:])
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nvoids = len(data)
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var = hist * (1. - hist/nvoids)
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sig = np.sqrt(var)
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lowerbound = hist - sig
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upperbound = hist + sig
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mean = np.log10(hist/boxVol)
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lowerbound = np.log10(lowerbound/boxVol)
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upperbound = np.log10(upperbound/boxVol)
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lineColor = colorList[iSample]
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lineTitle = sample.fullName
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trim = (lowerbound > .01)
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mean = mean[trim]
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binCentersToUse = binCenters[trim]
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lower = lowerbound[trim]
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upper = upperbound[trim]
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alpha = 0.55
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fill_between(binCentersToUse, lower, upper,
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label=lineTitle, color=lineColor,
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alpha=alpha,
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)
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lineStyle = '-'
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plt.plot(binCentersToUse, mean, lineStyle,
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color=lineColor,
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linewidth=3)
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plt.legend(loc = "upper right", fancybox=True, prop={'size':14})
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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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