| #!/usr/bin/python3 |
| |
| import numpy |
| from matplotlib import pylab |
| |
| data = numpy.loadtxt('/tmp/jkalsdjflsd.csv', delimiter=',', skiprows=1) |
| x = range(len(data)) |
| |
| pylab.subplot(1, 1, 1) |
| pylab.plot(x, [d[0] for d in data], 'ro', label='ia') |
| pylab.plot(x, [d[1] for d in data], 'go', label='ib') |
| pylab.plot(x, [d[2] for d in data], 'bo', label='ic') |
| pylab.plot(x, [d[3] for d in data], 'r--', label='ia_goal') |
| pylab.plot(x, [d[4] for d in data], 'g--', label='ib_goal') |
| pylab.plot(x, [d[5] for d in data], 'b--', label='ic_goal') |
| pylab.plot(x, [d[6] for d in data], 'rx', label='va') |
| pylab.plot(x, [d[7] for d in data], 'gx', label='vb') |
| pylab.plot(x, [d[8] for d in data], 'bx', label='vc') |
| #pylab.plot(x, [d[6] for d in data], 'rx', label='i_overall') |
| #pylab.plot(x, [d[7] for d in data], 'gx', label='omega') |
| #pylab.plot(x, [d[8] for d in data], 'r', label='van') |
| #pylab.plot(x, [d[9] for d in data], 'g', label='vbn') |
| #pylab.plot(x, [d[10] for d in data], 'b', label='vcn') |
| pylab.plot(x, [d[9] / 1000.0 for d in data], 'yx', label='pos') |
| pylab.plot(x, [d[10] / 1000.0 for d in data], 'yo', label='pos') |
| pylab.legend() |
| |
| pylab.show() |