Difference between revisions of "NumericPython"
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| Line 32: | Line 32: | ||
<pre> | <pre> | ||
import matplotlib.pyplot as plt | import matplotlib.pyplot as plt | ||
| + | from pylab import meshgrid | ||
X, Y = meshgrid(x,y) | X, Y = meshgrid(x,y) | ||
plt.figure() | plt.figure() | ||
Revision as of 14:27, 21 July 2009
Numeric Python: Some handy array tools
Introduction
Getting Started
from Numeric import *
Arrays
More Interesting
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)
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()