#!/usr/bin/python # Script: density.py # Purpose: binned atom density by atom type # Syntax: density.py x/y/z nbin outfile files ... # x/y/z = get density distribution along this axis # nbin = # of bins in desired direction # outfile = file to write flux stats to # files = series of dump files # Example: density.py z 100 dens.out dump.* # Author: Paul Crozier (Sandia) # enable script to run from Python directly w/out Pizza.py import sys from dump import dump if not globals().has_key("argv"): argv = sys.argv # main script if len(argv) < 5: raise StandardError, "Syntax: density.py x/y/z nbin outfile files ..." direction = argv[1] nbins = int(argv[2]) outfile = argv[3] files = ' '.join(argv[4:]) # read snapshots one-at-a-time d = dump(files,0) d.map(1,"id",2,"type",3,"x",4,"y",5,"z") first = 1 nsnaps = 0 while 1: time = d.next() if time == -1: break if first: tmp,ntypes = d.minmax("type") ntypes = int(ntypes) bin = nbins * [0] for i in xrange(nbins): bin[i] = ntypes * [0] first = 0 box = (d.snaps[-1].xlo,d.snaps[-1].ylo,d.snaps[-1].zlo, d.snaps[-1].xhi,d.snaps[-1].yhi,d.snaps[-1].zhi) vol = (box[3] - box[0]) * (box[4] - box[1]) * (box[5] - box[2]) if direction == "x": type,x = d.vecs(time,"type","x") elif direction == "y": type,x = d.vecs(time,"type","y") elif direction == "z": type,x = d.vecs(time,"type","z") type = map(int,type) natoms = len(type) for i in xrange(natoms): type[i] -= 1 for i in xrange(natoms): ibin = int(nbins*x[i] + 0.5) if (ibin < 0): ibin += nbins if (ibin > nbins-1): ibin -= nbins bin[ibin][type[i]] += nbins/vol nsnaps += 1 print time, print print "Printing ", direction, "-directional density distribution in mol/L to",outfile conversion = 1660.53873 # convert from atoms/Angs^3 to mol/L fp = open(outfile,"w") for i in xrange(nbins): print >>fp, float(i)/float(nbins), for j in xrange(ntypes): print >>fp, conversion*bin[i][j]/nsnaps, print >>fp fp.close()