Convert to numpy

pkienzle · pkienzle · commit 2313d1895bf3 · 2007-09-05T21:40:41.000Z
svn path=/trunk/matplotlib/; revision=3793
diff --git a/examples/quadmesh_demo.py b/examples/quadmesh_demo.py
@@ -4,23 +4,21 @@
 with some restrictions.
 """
 
-from matplotlib.mlab import linspace, meshgrid
-import matplotlib.numerix as nx
+import numpy as nx
 from pylab import figure,show
-import matplotlib.numerix.ma as ma
 from matplotlib import cm, colors
 
 n = 56
-x = linspace(-1.5,1.5,n)
-X,Y = meshgrid(x,x);
+x = nx.linspace(-1.5,1.5,n)
+X,Y = nx.meshgrid(x,x);
 Qx = nx.cos(Y) - nx.cos(X)
 Qz = nx.sin(Y) + nx.sin(X)
 Qx = (Qx + 1.1)
 Z = nx.sqrt(X**2 + Y**2)/5;
-Z = (Z - nx.mlab.amin(Z)) / (nx.mlab.amax(Z) - nx.mlab.amin(Z))
+Z = (Z - nx.amin(Z)) / (nx.amax(Z) - nx.amin(Z))
 
 # The color array can include masked values:
-Zm = ma.masked_where(nx.fabs(Qz) < 0.5*nx.mlab.amax(Qz), Z)
+Zm = nx.ma.masked_where(nx.fabs(Qz) < 0.5*nx.amax(Qz), Z)
 
 
 fig = figure()
diff --git a/examples/simple3d.py b/examples/simple3d.py
@@ -1,11 +1,6 @@
 #!/usr/bin/env python
 
-import matplotlib
-matplotlib.rcParams['numerix'] = 'numpy'
-import numpy as np
-from numpy import arange, cos, linspace, ones, pi, sin
-import matplotlib.numerix as nx
-from matplotlib.numerix import outerproduct
+from numpy import arange, cos, linspace, ones, pi, sin, outer
 
 import pylab
 import matplotlib.axes3d as axes3d
@@ -20,9 +15,9 @@
 u = arange(0, 2*pi+(delta*2), delta*2)
 v = arange(0, pi+delta, delta)
 
-x = outerproduct(cos(u),sin(v))
-y = outerproduct(sin(u),sin(v))
-z = outerproduct(ones(u.shape), cos(v))
+x = outer(cos(u),sin(v))
+y = outer(sin(u),sin(v))
+z = outer(ones(u.shape), cos(v))
 
 #ax3d.plot_wireframe(x,y,z)
 surf = ax3d.plot_surface(x, y, z)
