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gplot_r-density
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Thu, Apr 24, 00:49

gplot_r-density
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#!/home/revaz/local/bin/python
'''
Plot density of the model as a function of radius
Estimate density from paticles mass, assuming a sperical
density distribution.
Yves Revaz
ven avr 14 16:06:59 CEST 2006
'''
from numarray import *
from pNbody import *
import SM
import string
import sys
import os
from libjeans import *
from pNbody.libutil import histogram
from optparse import OptionParser
from Gtools import *
def parse_options():
usage = "usage: %prog [options] file"
parser = OptionParser(usage=usage)
parser = add_postscript_options(parser)
parser = add_color_options(parser)
parser = add_limits_options(parser)
parser = add_units_options(parser)
parser = add_log_options(parser)
parser = add_histogram_options(parser)
parser = add_reduc_options(parser)
parser.add_option("-t",
action="store",
dest="ftype",
type="string",
default = None,
help="type of the file",
metavar=" TYPE")
parser.add_option("--rmax",
action="store",
dest="rmax",
type="float",
default = 50,
help="max radius",
metavar=" FLOAT")
parser.add_option("--nb",
action="store",
dest="nb",
type="int",
default=25,
help="number of bins")
parser.add_option("--cgs",
action="store_true",
dest="cgs",
default = 0,
help="invert into cgs units")
(options, args) = parser.parse_args()
if options.colors!=None:
exec("options.colors = array([%s])"%(options.colors))
if len(args) == 0:
print "you must specify a filename"
sys.exit(0)
files = args
return files,options
#############################
# graph
#############################
# get options
files,options = parse_options()
ps = options.ps
col = options.colors
xmin = options.xmin
xmax = options.xmax
ymin = options.ymin
ymax = options.ymax
log = options.log
histogram = options.histogram
reduc = options.reduc
cgs = options.cgs
ftype = options.ftype
rmax = options.rmax
nb = options.nb
if cgs:
units = get_units_options(options)
#######################################
# open sm
#######################################
g = Graph_Init(ps)
Graph_SetDefaultsGraphSettings(g)
colors = Graph_SetColorsForFiles(files,col)
#######################################
# LOOP
#######################################
# read files
for file in files:
nbody = Nbody(file,ftype=ftype)
# nbody.cmcenter()
if reduc!= None:
nbody = nbody.reduc(reduc)
x,y = nbody.mdens(nb=nb,rm=rmax)
# convert into cgs
if cgs:
x = Length2cgs(x,units)
y = Density2cgs(y,units)
# use log
if log != None:
x,y = Graph_UseLog(x,y,log)
if file == files[0]:
xmin,xmax,ymin,ymax = Graph_SetLimits(g,xmin,xmax,ymin,ymax,x,y)
Graph_DrawBox(g,xmin,xmax,ymin,ymax,log)
g.ctype(colors[file])
# plot points
if histogram:
xb,yb = Graph_MakeHistrogram(g,xmin,xmax,ymin,ymax,x,y)
g.connect(xb,yb)
else:
g.points(x,y)
g.ctype(0)
if log == 'xy' or log == 'yx':
g.xlabel('log R')
g.ylabel('log Density')
elif log == 'x':
g.xlabel('log R')
g.ylabel('Density')
elif log == 'y':
g.xlabel('R')
g.ylabel('log Density')
else:
g.xlabel('R')
g.ylabel('Density')
# -- end ---
Graph_End(g,ps)

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