#! /usr/bin/env python
# ==========================================================================
# Shows butterfly diagram created with ctbutterfly
#
# Copyright (C) 2014-2016 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 sys
import gammalib
try:
    import matplotlib.pyplot as plt
    plt.figure()
    plt.close()
except:
    print('This script needs the "matplotlib" module')
    sys.exit()


# ============ #
# Script entry #
# ============ #    
if __name__ == '__main__':

    # Check for given butterfly file
    if len(sys.argv) < 2:
        sys.exit('Usage: show_butterfly.py butterfly.txt [file]')

    # Check if plotting in file is requested
    plotfile = ''
    if len(sys.argv) == 3:
        plotfile = sys.argv[2]

    # 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,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))
        low_error = csv.real(index,3)
        if low_error < 1e-26:
            low_error = 1e-26
        butterfly_y.append(low_error)   
    
    # Plot the butterfly and spectral line       
    plt.figure()
    plt.ylim([1e-26,1e-14])
    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'E $\times$ dN/dE (MeV$^{-1}$ s$^{-1}$ cm$^{-2}$)')

    # Show spectrum or save it into file
    if len(plotfile) > 0:
        plt.savefig(plotfile)
    else:
        plt.show()