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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# random-muscle-activation.py -- Generate random muscle activation data in CSV
#
# Copyright (C) 2013 Tobias Klauser <tklauser@distanz.ch>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
import os
import sys
import getopt
import numpy as np
import plotcsv
DEFAULT_N = 1000
DEFAULT_XMIN = 0.0
DEFAULT_XMAX = 100.0
DEFAULT_YMIN = 0.0
DEFAULT_YMAX = 50.0
DEFAULT_YDMIN = -0.5
DEFAULT_YDMAX = 0.5
def usage():
print("""usage: {} [OPTION...] FILE...
Generate random muscle activation data in CSV.
options:
-f force overwrite of existing file
-n N set number of data points to N (default: {})
-p plot data after generating it
-x N set minimum x value to N (default: {})
-X N set maximum x value to N (default: {})
-y N set minimum y value to N (default: {})
-Y N set maximum y value to N (default: {})
-d N set minimum y change value to N (default: {})
-D N set maximum y change value to N (default: {})""".format(
os.path.basename(sys.argv[0]), DEFAULT_N,
DEFAULT_XMIN, DEFAULT_XMAX,
DEFAULT_YMIN, DEFAULT_YMAX,
DEFAULT_YDMIN, DEFAULT_YDMAX))
def generate_activation_data(N, xmin, xmax, ymin, ymax, ydmin, ydmax):
X = np.array([ ((x / float(N)) * (xmax - xmin)) + xmin for x in range(0, N) ])
Y = np.zeros(N)
# Y = np.array([ ((y / float(N)) * (ymax - ymin)) + ymin for y in range(0, N) ])
Y[0] = (ymax - ymin) * np.random.random_sample() + ymin
for y in range(1, N):
Y[y] = Y[y-1] + ((ydmax - ydmin) * np.random.random_sample() + ydmin)
if Y[y] < ymin:
Y[y] = ymin
if Y[y] > ymax:
Y[y] = ymax
act = np.array((X, Y)).transpose()
return act
def main():
try:
opts, args = getopt.getopt(sys.argv[1:], "fn:px:X:y:Y:d:D:h")
except getopt.GetoptError as err:
print(str(err))
usage()
sys.exit(-1)
do_overwrite = False
do_plot = False
N = DEFAULT_N
xmin = DEFAULT_XMIN
xmax = DEFAULT_XMAX
ymin = DEFAULT_YMIN
ymax = DEFAULT_YMAX
ydmin = DEFAULT_YDMIN
ydmax = DEFAULT_YDMAX
for o, a in opts:
if o == '-f':
do_overwrite = True
elif o == '-n':
try:
N = int(a)
except ValueError:
print("Error: number of data points must be an integer > 0")
usage()
sys.exit(-1)
elif o == '-p':
do_plot = True
elif o == '-x':
try:
xmin = float(a)
except ValueError:
print("Error: xmin must be a float")
usage()
sys.exit(-1)
elif o == '-X':
try:
xmax = float(a)
except ValueError:
print("Error: xmax must be a float")
usage()
sys.exit(-1)
elif o == '-y':
try:
ymin = float(a)
except ValueError:
print("Error: ymin must be a float")
usage()
sys.exit(-1)
elif o == '-Y':
try:
ymax = float(a)
except ValueError:
print("Error: ymax must be a float")
usage()
sys.exit(-1)
elif o == '-d':
try:
ydmin = float(a)
except ValueError:
print("Error: ydmin must be a float")
usage()
sys.exit(-1)
elif o == '-D':
try:
ydmax = float(a)
except ValueError:
print("Error: ydmax must be a float")
usage()
sys.exit(-1)
elif o == '-h':
usage()
sys.exit(0)
if N <= 0:
print("Error: invalid number of data points ({}), must be > 0".format(N))
sys.exit(-1)
if not xmin < xmax:
print("Error: xmin must be smaller than xmax")
sys.exit(-1)
if not ymin < ymax:
print("Error: ymin must be smaller than ymax")
sys.exit(-1)
if not ydmin <= ydmax:
print("Error: ydmin must be smaller than or equal to ydmax")
sys.exit(-1)
if len(args) < 1:
print("Error: no output file(s) specified")
sys.exit(-1)
for a in args:
if not do_overwrite and os.path.exists(a):
print("Error: output file {} already exists, use -f to overwrite".format(a))
sys.exit(-1)
print("Generating {} files with {} data points each...".format(len(args), N))
for a in args:
with open(a, 'w') as f:
act = generate_activation_data(N, xmin, xmax, ymin, ymax, ydmin, ydmax)
f.write('x,y\n')
for x, y in act:
f.write('{},{}\n'.format(x, y))
if do_plot:
print("Plotting data for {}, please close window to continue...".format(a))
plotcsv.plot(act[:,0], act[:,1], xmax, ymax, 'x', 'y', a, False, False)
sys.exit(0)
if __name__ == '__main__':
main()
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