Revision as of 14:42, 21 July 2009

Numeric Python: Some handy array tools

Introduction

from Numeric import *

x = arange(-5,10)
y = arange(-4,11)
z1 = sqrt(add.outer(x**2,y**2))
Z = sin(z1)/z1

If you have the NumTut package available, then you can simply type:

from NumTut import *
view(Z)

and you should get a window similar to:

A grey-scale map of the sinc function

Otherwise, we can use the matplotlib package:

import matplotlib.pyplot as plt
from pylab import meshgrid
X, Y = meshgrid(x,y)
plt.figure()
plt.contour(X,Y,Z)
plt.show()

and you should get a window similar to:

A grey-scale map of the sinc function

@@ Line 42: / Line 42: @@
 plt.show()
 </pre>
+and you should get a window similar to:
+[[Image:Sinc-matplotlib-contour.png|frame|none|A grey-scale map of the sinc function]]