show_pull_evolution.py
2.83 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
#! /usr/bin/env python
# ==========================================================================
# Shows the evolution of the mean and rms pull
#
# Copyright (C) 2015-2016 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
import csv
import cscripts
try:
import matplotlib.pyplot as plt
plt.figure()
plt.close()
except:
print('This script needs the "matplotlib" module')
sys.exit()
try:
import numpy as np
except:
print('This script needs the "numpy" module')
sys.exit()
# =================== #
# 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 values from CSV file
values = np.array(cscripts.ioutils.read_pull_values(filename, parname))
# 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
# ======================== #
# Main routine entry point #
# ======================== #
if __name__ == '__main__':
# 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)