matplotlib
diff --git a/‎examples/animation/rain.py‎
Lines changed: 46 additions & 38 deletions b/‎examples/animation/rain.py‎
Lines changed: 46 additions & 38 deletions
@@ -1,58 +1,66 @@
-# -----------------------------------------------------------------------------
-# Rain simulation
-# Author: Nicolas P. Rougier
-# -----------------------------------------------------------------------------
-import matplotlib
+"""
+Rain simulation
+
+Simulates rain drops on a surface by animating the scale and opacity
+of 50 scatter points.
+
+Author: Nicolas P. Rougier
+"""
 import numpy as np
 import matplotlib.pyplot as plt
 from  matplotlib.animation import FuncAnimation
 
 
-# Create new figure
+# Create new Figure and an Axes which fills it. 
 fig = plt.figure(figsize=(7,7))
-ax = fig.add_axes([0,0,1,1], frameon=False, aspect=1)
-
-# Create rain data
-P = np.zeros(50, dtype=[('position', float, 2),
-                        ('size',     float, 1),
-                        ('growth',   float, 1),
-                        ('color',    float, 4)])
-
-# Scatter plot is used to animate rain drops
-scat = ax.scatter(P['position'][:,0], P['position'][:,1], P['size'],
-                  lw=0.5, edgecolors = P['color'], facecolors='none')
+ax = fig.add_axes([0, 0, 1, 1], frameon=False)
 ax.set_xlim(0,1), ax.set_xticks([])
 ax.set_ylim(0,1), ax.set_yticks([])
 
+# Create rain data
+n_drops = 50
+rain_drops = np.zeros(n_drops, dtype=[('position', float, 2),
+                                      ('size',     float, 1),
+                                      ('growth',   float, 1),
+                                      ('color',    float, 4)])
 
-def update(frame):
-    i = frame % len(P)
-
-    # Make all colors more transparent
-    P['color'][:,3] -= 1.0/len(P)
-    P['color'][:,3] = np.clip(P['color'][:,3], 0, 1)
+# Initialize the raindrops in random positions and with
+# random growth rates.
+rain_drops['position'] = np.random.uniform(0, 1, (n_drops, 2))
+rain_drops['growth'] = np.random.uniform(50, 200, n_drops)
 
-    # Make all circles bigger
-    P['size'] += P['growth']
+# Construct the scatter which we will update during animation
+# as the raindrops develop.
+scat = ax.scatter(rain_drops['position'][:,0], rain_drops['position'][:,1],
+                  s=rain_drops['size'], lw=0.5, edgecolors=rain_drops['color'],
+                  facecolors='none')
 
-    # Pick a new position for oldest rain drop
-    P['position'][i] = np.random.uniform(0, 1, 2)
 
-    # Reset size
-    P['size'][i] = 5
+def update(frame_number):
+    # Get an index which we can use to re-spawn the oldest raindrop.
+    current_index = frame_number % n_drops
 
-    # Reset color
-    P['color'][i] = (0, 0, 0, 1)
+    # Make all colors more transparent as time progresses.
+    rain_drops['color'][:, 3] -= 1.0/len(rain_drops)
+    rain_drops['color'][:,3] = np.clip(rain_drops['color'][:,3], 0, 1)
 
-    # Choose a random growth factor
-    P['growth'][i] = np.random.uniform(50, 200)
+    # Make all circles bigger.
+    rain_drops['size'] += rain_drops['growth']
 
-    # Update scatter plot
-    scat.set_edgecolors(P['color'])
-    scat.set_sizes(P['size'])
-    scat.set_offsets(P['position'])
+    # Pick a new position for oldest rain drop, resetting its size,
+    # color and growth factor.
+    rain_drops['position'][current_index] = np.random.uniform(0, 1, 2)
+    rain_drops['size'][current_index] = 5<
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+    rain_drops['color'][current_index] = (0, 0, 0, 1)
+    rain_drops['growth'][current_index] = np.random.uniform(50, 200)
 
-    return scat,
+    # Update the scatter collection, with the new colors, sizes and positions.
+    scat.set_edgecolors(rain_drops['color'])
+    scat.set_sizes(rain_drops['size'])
+    scat.set_offsets(rain_drops['position'])
+    
 
+# Construct the animation, using the update function as the animation
+# director.
 animation = FuncAnimation(fig, update, interval=10)
 plt.show()