show_rmf.py
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#! /usr/bin/env python
# ==========================================================================
# Display Redistribution Matrix File
#
# Copyright (C) 2018-2020 Juergen Knoedlseder
#
# 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 sys
try:
import matplotlib.pyplot as plt
plt.figure()
plt.close()
except (ImportError, RuntimeError):
print('This script needs the "matplotlib" module')
sys.exit()
import gammalib
import cscripts
# ======== #
# Plot RMF #
# ======== #
def plot_rmf(rmf, plotfile):
"""
Plot Redistribution Matrix File
Parameters
----------
rmf : `~gammalib.GRmf`
Redistribution Matrix File
plotfile : str
Plot filename
"""
# Build title
# Set energy range
etrue_min = rmf.etrue().emin().log10TeV()
etrue_max = rmf.etrue().emax().log10TeV()
ereco_min = rmf.emeasured().emin().log10TeV()
ereco_max = rmf.emeasured().emax().log10TeV()
aspect = (etrue_max-etrue_min)/(ereco_max-ereco_min)
# Set number of bins
netrue = rmf.etrue().size()
nereco = rmf.emeasured().size()
# Set image
image = []
for ireco in range(nereco-1,-1,-1):
row = []
for itrue in range(netrue):
row.append(rmf[itrue,ireco])
image.append(row)
# Create figure
plt.figure()
# Plot image
c = plt.imshow(image, extent=[etrue_min,etrue_max,ereco_min,ereco_max],
interpolation='nearest', aspect=aspect)
plt.colorbar(c, orientation='vertical', shrink=0.8)
# Plot title and axis
plt.title('Redistribution Matrix File')
plt.xlabel('log10(Etrue/TeV)')
plt.ylabel('log10(Ereco/TeV)')
# Show plots or save it into file
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# ======== #
# Show RMF #
# ======== #
def show_rmf():
"""
Show Redistribution Matrix File
"""
# Set usage string
usage = 'show_rmf.py [-p plotfile] file'
# Set default options
options = [{'option': '-p', 'value': ''}]
# Get arguments and options from command line arguments
args, options = cscripts.ioutils.get_args_options(options, usage)
# Extract script parameters from options
plotfile = options[0]['value']
# Get RMF
rmf = gammalib.GRmf(args[0])
# Plot RMF
plot_rmf(rmf, plotfile)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show RMF
show_rmf()