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#!/usr/bin/env python3
#
# Calculate the mean and standard deviation of the (Monte Carlo)
# Lx and Fx data
#
# Junhua GU
# Weitian LI
# 2016-06-07
#
import sys
import argparse
import numpy as np
def read_bands(bands):
"""
Read energy bands list, each band per line.
"""
bands = map(str.split, open(bands).readlines())
bands = ["-".join(b) for b in bands]
return bands
def output(name, bands, means, sigmas, outfile=sys.stdout):
if outfile is not sys.stdout:
outfile = open(outfile, "w")
for b, m, s in zip(bands, means, sigmas):
print("%s(%s)= %4.2E +/- %4.2E erg/s" % (name, b, m, s),
file=outfile)
if outfile is not sys.stdout:
outfile.close()
def main():
parser = argparse.ArgumentParser(
description="Analyze Lx/Fx results")
parser.add_argument("name", help="Lx or Fx")
parser.add_argument("infile", help="input data file")
parser.add_argument("outfile", help="output results file")
parser.add_argument("bands", help="energy bands of the input data columns")
args = parser.parse_args()
data = np.loadtxt(args.infile)
bands = read_bands(args.bands)
if len(bands) != data.shape[1]:
raise ValueError("number of energy bands != number of data columns")
means = np.mean(data, axis=0)
sigmas = np.std(data, axis=0)
output(name=args.name, bands=bands, means=means, sigmas=sigmas)
output(name=args.name, bands=bands, means=means, sigmas=sigmas,
outfile=args.outfile)
if __name__ == "__main__":
main()
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