import pyfits from scipy import special from matplotlib import rc import os, sys, time, getopt, math, random from matplotlib.ticker import MaxNLocator savedpi = 250 fileformat = 'png' savepath = 'radialProfilesSFR/' #inputfile = '/media/daten/transfer/galacticus.hdf5' inputfile = 'inputtemp' h5file = tables.openFile(inputfile,"r") timeTable = getData.getTimestepTable(h5file) print timeTable # In order to plot the physical values we need h h = 0.73 # Boxsize in Mpc, for easy centering #boxSize = 32000/1000 # Calculate the center of mass coordinates # Get dataset at z=0 nodeData = getData.getOutput(h5file,timeTable[len(timeTable)-1,0]) #print 'Check time at center of mass calculation: ', timeTable[len(timeTable)-1,1] nHalos = len(nodeData.positionX) comCoord = np.zeros(3) for i in range(nHalos):
import tables import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import math import getData savedpi = 250 fileformat = 'png' savepath = './positionPlots/' #inputfile = '/media/daten/transfer/galacticus.hdf5' inputfile = './galacticus_stages_19.hdf5' h5file = tables.openFile(inputfile, "r") timeTable = getData.getTimestepTable(h5file) print timeTable # In order to plot the physical values we need h h = 0.72 # Boxsize in Mpc, for easy centering boxSize = 32000 / 1000 # Calculate the center of mass coordinates # Get dataset at z=0 nodeData = getData.getOutput(h5file, timeTable[len(timeTable) - 1, 0]) #print 'Check time at center of mass calculation: ', timeTable[len(timeTable)-1,1] nHalos = len(nodeData.positionX) comCoord = np.zeros(3) for i in range(nHalos):
