SF.net SVN: matplotlib:[5855] trunk/matplotlib/examples/animation

[<jd...@us...>]

Revision: 5855
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5855&view=rev
Author:   jdh2358
Date:     2008-07-24 22:35:06 +0000 (Thu, 24 Jul 2008)

Log Message:
-----------
renamed anim to reflect tk

Added Paths:
-----------
    trunk/matplotlib/examples/animation/simple_anim_tkagg.py

Removed Paths:
-------------
    trunk/matplotlib/examples/animation/anim.py

Deleted: trunk/matplotlib/examples/animation/anim.py
===================================================================
--- trunk/matplotlib/examples/animation/anim.py	2008-07-24 22:34:32 UTC (rev 5854)
+++ trunk/matplotlib/examples/animation/anim.py	2008-07-24 22:35:06 UTC (rev 5855)
@@ -1,24 +0,0 @@
-#!/usr/bin/env python
-"""
-A simple example of an animated plot in tkagg
-"""
-import matplotlib
-matplotlib.use('TkAgg') # do this before importing pylab
-
-import matplotlib.pyplot as plt
-fig = plt.figure()
-ax = fig.add_subplot(111)
-
-def animate():
-    tstart = time.time()                   # for profiling
-    x = np.arange(0, 2*np.pi, 0.01)        # x-array
-    line, = ax.plot(x, np.sin(x))
-
-    for i in np.arange(1,200):
-        line.set_ydata(np.sin(x+i/10.0))          # update the data
-        fig.canvas.draw()                         # redraw the canvas
-    print 'FPS:' , 200/(time.time()-tstart)
-
-win = fig.canvas.manager.window
-fig.canvas.manager.window.after(100, animate)
-plt.show()

Copied: trunk/matplotlib/examples/animation/simple_anim_tkagg.py (from rev 5854, trunk/matplotlib/examples/animation/anim.py)
===================================================================
--- trunk/matplotlib/examples/animation/simple_anim_tkagg.py	                        (rev 0)
+++ trunk/matplotlib/examples/animation/simple_anim_tkagg.py	2008-07-24 22:35:06 UTC (rev 5855)
@@ -0,0 +1,24 @@
+#!/usr/bin/env python
+"""
+A simple example of an animated plot in tkagg
+"""
+import matplotlib
+matplotlib.use('TkAgg') # do this before importing pylab
+
+import matplotlib.pyplot as plt
+fig = plt.figure()
+ax = fig.add_subplot(111)
+
+def animate():
+    tstart = time.time()                   # for profiling
+    x = np.arange(0, 2*np.pi, 0.01)        # x-array
+    line, = ax.plot(x, np.sin(x))
+
+    for i in np.arange(1,200):
+        line.set_ydata(np.sin(x+i/10.0))          # update the data
+        fig.canvas.draw()                         # redraw the canvas
+    print 'FPS:' , 200/(time.time()-tstart)
+
+win = fig.canvas.manager.window
+fig.canvas.manager.window.after(100, animate)
+plt.show()


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