summaryrefslogtreecommitdiff
path: root/scripts
diff options
context:
space:
mode:
authorTobias Klauser <tklauser@distanz.ch>2013-01-10 15:18:48 +0100
committerTobias Klauser <tklauser@distanz.ch>2013-01-10 15:18:48 +0100
commit9c8cf8bde19d53fb089656d5c762f965b8c9ae4f (patch)
treec0376ad9dd88d6984340faedcb7f5c60a13c49d7 /scripts
parent905087aac386bffa60fc05abc60c8999987271b0 (diff)
scripts: random-muscle-activation: Implement basic functionality
The variation of the values can also be specified (-d/-D), in general they should be -N/+N
Diffstat (limited to 'scripts')
-rwxr-xr-xscripts/random-muscle-activation.py65
1 files changed, 55 insertions, 10 deletions
diff --git a/scripts/random-muscle-activation.py b/scripts/random-muscle-activation.py
index e0c3899..fb225cc 100755
--- a/scripts/random-muscle-activation.py
+++ b/scripts/random-muscle-activation.py
@@ -1,6 +1,8 @@
#!/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
@@ -11,50 +13,73 @@ 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: {})
-""".format(os.path.basename(sys.argv[0]), DEFAULT_N, DEFAULT_XMIN, DEFAULT_XMAX,
- DEFAULT_YMIN, DEFAULT_YMAX))
+ -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):
+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:x:X:y:Y:h")
+ 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)
- overwrite = False
+ 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':
- overwrite = True
+ do_overwrite = True
elif o == '-n':
try:
N = int(a)
@@ -62,6 +87,8 @@ def main():
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)
@@ -90,6 +117,20 @@ def main():
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)
@@ -105,16 +146,20 @@ def main():
sys.exit(-1)
for a in args:
- if not overwrite and os.path.exists(a):
+ 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)
+ 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))
+ 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)