1 | initial version |
I somtimes get a similar error when I use pylab or matplotlib. Usually it helps if I wrap all values or variables with predefined values as e.g. float(1.6) or float(lower_x_bound).
2 | No.2 Revision |
I somtimes get a similar error when I use pylab or matplotlib. Usually it helps if I wrap all values or variables with predefined values as e.g. float(1.6) or float(lower_x_bound).float(lower_x_bound).
Edit: Sorry, I meant numpy.float instead of float.