Commit 6b2de73dfbd85a3675da0077cb13e3d74d065f20
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rename to show_pull_histogram.py
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examples/pull_histogram.py deleted
| 1 | -#! /usr/bin/env python | |
| 2 | -# ========================================================================== | |
| 3 | -# This script displays pull histograms that have been generated using the | |
| 4 | -# cspull script. The pull is defined by | |
| 5 | -# | |
| 6 | -# (fitted value - simulated value) / estimated error | |
| 7 | -# | |
| 8 | -# and the pull histogram allows to assess possible biases in the fit | |
| 9 | -# parameters and errors. | |
| 10 | -# | |
| 11 | -# Required 3rd party modules: | |
| 12 | -# - matplotlib | |
| 13 | -# - numpy | |
| 14 | -# | |
| 15 | -# Copyright (C) 2011 Jurgen Knodlseder | |
| 16 | -# | |
| 17 | -# This program is free software: you can redistribute it and/or modify | |
| 18 | -# it under the terms of the GNU General Public License as published by | |
| 19 | -# the Free Software Foundation, either version 3 of the License, or | |
| 20 | -# (at your option) any later version. | |
| 21 | -# | |
| 22 | -# This program is distributed in the hope that it will be useful, | |
| 23 | -# but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| 24 | -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| 25 | -# GNU General Public License for more details. | |
| 26 | -# | |
| 27 | -# You should have received a copy of the GNU General Public License | |
| 28 | -# along with this program. If not, see <http://www.gnu.org/licenses/>. | |
| 29 | -# | |
| 30 | -# ========================================================================== | |
| 31 | -import matplotlib.mlab as mlab | |
| 32 | -import matplotlib.pyplot as plt | |
| 33 | -import numpy as np | |
| 34 | -import sys | |
| 35 | -import csv | |
| 36 | - | |
| 37 | - | |
| 38 | -# ====================== # | |
| 39 | -# Read pull distribution # | |
| 40 | -# ====================== # | |
| 41 | -def read_pull(filename, parname): | |
| 42 | - """ | |
| 43 | - Read pull distribution. | |
| 44 | - """ | |
| 45 | - # Initialise list | |
| 46 | - values = [] | |
| 47 | - | |
| 48 | - # Open reader | |
| 49 | - reader = csv.reader(open(filename, 'r'), delimiter=',') | |
| 50 | - | |
| 51 | - # Read rows | |
| 52 | - first = True | |
| 53 | - index = -1 | |
| 54 | - for row in reader: | |
| 55 | - | |
| 56 | - # Get column index if first row | |
| 57 | - if first: | |
| 58 | - try: | |
| 59 | - index = row.index(parname) | |
| 60 | - except: | |
| 61 | - print 'ERROR: Parameter "'+parname+'" not found in list:' | |
| 62 | - for p in row: | |
| 63 | - print ' "'+p+'"' | |
| 64 | - raise NameError(parname) | |
| 65 | - #print index | |
| 66 | - | |
| 67 | - # Handle data rows | |
| 68 | - else: | |
| 69 | - values.append(float(row[index])) | |
| 70 | - | |
| 71 | - # Flag that first row has been passed | |
| 72 | - first = False | |
| 73 | - | |
| 74 | - # Create numpy array | |
| 75 | - a = np.array(values) | |
| 76 | - #print a | |
| 77 | - | |
| 78 | - # Return array | |
| 79 | - return a | |
| 80 | - | |
| 81 | - | |
| 82 | -# ======================== # | |
| 83 | -# Main routine entry point # | |
| 84 | -# ======================== # | |
| 85 | -if __name__ == '__main__': | |
| 86 | - """ | |
| 87 | - Display pull histogram generated by cspull using matplotlib. | |
| 88 | - """ | |
| 89 | - # Print usage information | |
| 90 | - usage = "Usage: pull_histogram filename parname [bins]" | |
| 91 | - if len(sys.argv) < 3: | |
| 92 | - print usage | |
| 93 | - sys.exit() | |
| 94 | - | |
| 95 | - # Extract parameters | |
| 96 | - filename = sys.argv[1] | |
| 97 | - parname = sys.argv[2] | |
| 98 | - if len(sys.argv) > 3: | |
| 99 | - nbins = int(sys.argv[3]) | |
| 100 | - else: | |
| 101 | - nbins = 50 | |
| 102 | - | |
| 103 | - # Read values from CSV file | |
| 104 | - values = read_pull(filename, parname) | |
| 105 | - | |
| 106 | - # Create histogram | |
| 107 | - n, bins, patches = plt.hist(values, nbins, range=[-4.0,4.0], | |
| 108 | - normed=True, facecolor='green') | |
| 109 | - | |
| 110 | - # Create expected distribution | |
| 111 | - y = mlab.normpdf(bins, 0.0, 1.0) | |
| 112 | - l = plt.plot(bins, y, 'r-', linewidth=2) | |
| 113 | - | |
| 114 | - # Set parname for plotting | |
| 115 | - name = parname | |
| 116 | - | |
| 117 | - # Set plot | |
| 118 | - plt.xlabel('Pull ('+name+')') | |
| 119 | - plt.ylabel('Arbitrary units') | |
| 120 | - plt.title(name) | |
| 121 | - plt.grid(True) | |
| 122 | - | |
| 123 | - # Show histogram | |
| 124 | - plt.show() | |
| 125 | - | |
| 126 | 0 | \ No newline at end of file |