[EMAIL PROTECTED] wrote: > attackwarningred napisa (a): > > >>The array F(n) is dynamically allocated earlier on and is sized with >>reference to shotcount, the number of iterations the model performs. The >>problem is I can't get something like this to run in Python using numpy, >>and for the size of the array to be sized dynamically with reference to >>the variable shotcount. I acknowledge that my knowledge of Python is >>still really basic (I only started learning it a few days ago) and I'm >>trying to get out of the Fortran programming mindset but I'm stuck and >>don't seem to be able to get any further. If anyone could help I'd be >>really grateful. Thanks very much in advance. > > > Hello. If you want your array to be dynamically resized at every loop > iteration, that might be quite inefficient. How about initialising it > with a required size? > > F = numpy.array([0]*shotcount) > for n in xrange(shotcount): > F[n] = random.lognormvariate(F_mean, F_sd) > > Hope that helps, > Marek >
or, F = numpy.random.lognormal(F_mean, F_sd, shotcount) (assuming F_mean, F_sd are the parameters of the distribution, rather than the actual mean and standard deviation). Duncan -- http://mail.python.org/mailman/listinfo/python-list
