added a couple of examples; fixed a gtk clip bug

jdh2358 · jdh2358 · commit 7394dbab0153 · 2004-03-31T15:41:11.000Z
svn path=/trunk/matplotlib/; revision=217
diff --git a/TODO b/TODO
@@ -292,4 +292,6 @@
 
 -- support fontdicts, with deprecation as necessary
 
--- move text layout to front end and support newlines with rotation.
+-- move text layout to front end and support newlines with rotation.
+
+-- aligment test of backend_ps and table_demo on all backends
diff --git a/examples/pcolor_demo2.py b/examples/pcolor_demo2.py
@@ -0,0 +1,27 @@
+"""
+See pcolor_demo2 for a much faster way of generating pcolor plots
+"""
+from __future__ import division
+from matplotlib.matlab import *
+
+def func3(x,y):
+    return (1- x/2 + x**5 + y**3)*exp(-x**2-y**2)
+
+
+# make these smaller to increase the resolution
+dx, dy = 0.05, 0.05
+
+x = arange(-3.0, 3.0, dx)
+y = arange(-3.0, 3.0, dy)
+X,Y = meshgrid(x, y)
+
+Z = func3(X, Y)
+cmap = ColormapJet(500)
+
+ax = subplot(111)
+imshow(Z, cmap)
+ax.set_image_extent(-3, 3, -3, 3)
+#savefig('pcolor_demo2')
+show()
+
+    
diff --git a/examples/psd_demo.py b/examples/psd_demo.py
@@ -1,23 +1,25 @@
-"""
-Compute the power spectral density of a signal
-"""
+# python
 
 from matplotlib.matlab import *
 
 dt = 0.01
 t = arange(0,10,dt)
-nse = randn(len(t))                 # white noise
+nse = randn(len(t))
 r = exp(-t/0.05)
-cnse = convolve(nse, r, mode=2)*dt  # colored noise
+
+cnse = convolve(nse, r, mode=2)*dt
 cnse = cnse[:len(t)]
 s = 0.1*sin(2*pi*t) + cnse
+
 figure(1)
 plot(t,s)
 
 figure(2)
 psd(s, 512, 1/dt)
-#savefig('psd_demo')
-show()
+
+savefig('psd_demo.png')
+
+
 
 """
 % compare with matlab
