Sophie

Sophie

distrib > Fedora > 13 > i386 > media > updates > by-pkgid > dc303dcad9fdd039290b4e78a58ed938 > files > 750

python-matplotlib-0.99.1.2-4.fc13.i686.rpm

#!/usr/bin/env python
"""
Use a pcolor or imshow with a custom colormap to make a contour plot.

Since this example was initially written, a proper contour routine was
added to matplotlib - see contour_demo.py and
http://matplotlib.sf.net/matplotlib.pylab.html#-contour.
"""

from pylab import *


delta = 0.01
x = arange(-3.0, 3.0, delta)
y = arange(-3.0, 3.0, delta)
X,Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = Z2 - Z1 # difference of Gaussians

cmap = cm.get_cmap('jet', 10)    # 10 discrete colors

im = imshow(Z, cmap=cmap, interpolation='bilinear')
axis('off')
colorbar()

show()