Hi all,
I'm new in numpy. Actually, I'm new in Python. In order to learn a bit, I
want to create a program to plot the Mandelbrot set. This program is quite
simple, and I have already programmed it. The problem is that I come from
fortran, so I use to think in "for" loops. I know that it is not the best
way to use Python and in fact the performance of the program is more than
poor.
Here is the program:
*#!/usr/bin/python*
>
> *import numpy as np*
> *import matplotlib.pyplot as plt*
>
> *# Some parameters*
> *Xmin=-1.5*
> *Xmax=0.5*
> *Ymin=-1*
> *Ymax=1*
>
> *Ds = 0.01*
>
> *# Initialization of varibles*
> *X = np.arange(Xmin,Xmax,Ds)*
> *Y = np.arange(Ymax,Ymin,-Ds)*
>
> *N = np.zeros((X.shape[0],Y.shape[0]),'f')*
>
> *############## Here are inefficient the calculations ################*
> *for i in range(X.shape[0]):*
> * for j in range(Y.shape[0]):*
> * z= complex(0.0, 0.0)*
> * c = complex(X[i], Y[j])*
> * while N[i, j] < 30 and abs(z) < 2:*
> * N[i, j] += 1*
> * z = z**2 + c*
> * if N[i, j] == 29:*
> * N[i, j]=0*
> ####################################################
>
> *# And now, just for ploting...*
> *N = N.transpose()*
> *fig = plt.figure()*
> *plt.imshow(N,cmap=plt.cm.Blues)*
> *plt.title('Mandelbrot set')*
> *plt.xticks([]); plt.yticks([])*
> *plt.show()*
> *fig.savefig('test.png')*
>
As you can see, it is very simple, but it takes several seconds running just
to create a 200x200 plot. Fortran takes same time to create a 2000x2000
plot, around 100 times faster... So the question is, do you know how to
programme this in a Python-like fashion in order to improve seriously the
performance?
Thanks in advance
--
Juan José Gómez Navarro
Edificio CIOyN, Campus de Espinardo, 30100
Departamento de Física
Universidad de Murcia
Tfno. (+34) 968 398552
Email: juanjo.gomeznava...@gmail.com
Web: http://ciclon.inf.um.es/Inicio.html
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