show_pull_evolution.py
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#! /usr/bin/env python
# ==========================================================================
# Shows the evolution of the mean and rms pull
#
# Copyright (C) 2015-2021 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()
try:
import numpy as np
except ImportError:
print('This script needs the "numpy" module')
sys.exit()
import gammalib
import cscripts
# ====================== #
# Read pull distribution #
# ====================== #
def read_pull_distribution(filename, parname):
"""
Read pull distribution
Parameters
----------
filename : str
Name of FITS or CSV file
parname : str
Parameter name
Returns
-------
pulls : list of floats
List with pull distribution
"""
# Read pull distribution dependent on file type
fname = gammalib.GFilename(filename)
if fname.is_fits():
pulls = read_pull_distribution_fits(filename, parname)
else:
pulls = cscripts.ioutils.read_pull_values(filename, parname)
# Return pulls
return pulls
# ===================================== #
# Read pull distribution from FITS file #
# ===================================== #
def read_pull_distribution_fits(filename, parname):
"""
Read pull distribution from FITS file
Parameters
----------
filename : str
Name of FITS file
parname : str
Parameter name
Returns
-------
pulls : list of floats
List with pull distribution
"""
# Open FITS file
fits = gammalib.GFits(filename)
# Get pull distribution table
table = fits.table('PULL_DISTRIBUTION')
# Get relevant column
column = table[parname]
# Initialise vector
pulls = []
# Fill vectors
nrows = table.nrows()
for row in range(nrows):
pulls.append(column[row])
# Return
return pulls
# =================== #
# Plot pull evolution #
# =================== #
def plot_pull_evolution(filename, parname, plotfile):
"""
Plot pull evolution
Parameters
----------
filename : str
Pull filename
parname : str
Parameter name
plotfile : str
Plot filename
"""
# Read pull distribution from file
pulls = read_pull_distribution(filename, parname)
# Create Numpy array
values = np.array(pulls)
# Compute mean and rms
nsamples = len(values)
samples = []
mean = []
rms = []
for i in range(1,nsamples):
samples.append(float(i+1))
mean.append(np.mean(values[0:i]))
rms.append(np.std(values[0:i]))
# Plot mean and rms evolution
plt.semilogx(samples, mean, 'r-', label='Mean')
plt.semilogx(samples, rms, 'b-', label='Std. deviation')
# Set plot
plt.xlabel('Samples')
plt.ylabel('Value')
plt.title(parname)
plt.grid(True)
# Set legend
plt.legend(loc='upper left')
# Show figure
if len(plotfile) > 0:
plt.savefig(plotfile)
else:
plt.show()
# Return
return
# =================== #
# Show pull evolution #
# =================== #
def show_pull_evolution():
"""
Show pull evolution
"""
# Set usage string
usage = 'show_pull_evolution.py [-p plotfile] file parameter'
# 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']
# Plot pull evolution
plot_pull_evolution(args[0], args[1], plotfile)
# Return
return
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# Show pull evolution
show_pull_evolution()