show_butterfly.py
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#! /usr/bin/env python
# ==========================================================================
# This script shows how to plot a butterfly created with ctbutterfly
#
# Copyright (C) 2014 Michael Mayer
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ==========================================================================
import gammalib
import sys
try:
import matplotlib.pyplot as plt
except:
sys.exit("This script needs matplotlib")
# =============== #
# Script entry #
# =============== #
if __name__ == "__main__":
# check for given butterfly file
if not len(sys.argv) == 2:
sys.exit("Usage: show_butterfly.py butterfly.txt")
# Read given butterfly file
filename = sys.argv[1]
csv = gammalib.GCsv(filename)
# initialise arrays to be filled
butterfly_x = []
butterfly_y = []
line_x = []
line_y = []
# loop over rows of the file
nrows = csv.nrows()
for row in range(nrows):
# Compute upper edge of confidence band
butterfly_x.append(csv.real(row,0))
butterfly_y.append(csv.real(row,1)+csv.real(row,2))
# Set line values
line_x.append(csv.real(row,0))
line_y.append(csv.real(row,1))
# Loop over the rows backwards to compute the lower edge
# of the confidence band
for row in range(nrows):
index = nrows - 1 - row
butterfly_x.append(csv.real(index,0))
butterfly_y.append(csv.real(index,1)-csv.real(index,2))
# plot the butterfly and spectral line
plt.figure()
plt.loglog()
plt.grid()
plt.plot(line_x,line_y,color='black',ls='-')
plt.fill(butterfly_x,butterfly_y,color='green',alpha=0.5)
plt.xlabel("Energy [MeV]")
plt.ylabel(r"dN/dE [MeV$^{-1}$ s$^{-1}$ cm$^{-2}$]")
plt.show()