Matplotlib 3.0 Cookbook

How to do it...

The following are the steps to implement the required logic:

1. Define and instantiate the figure and axes:

fig = plt.figure(figsize=(5, 5))ax = fig.add_axes([0, 0, 1, 1], frameon=False)

2. Define the bubbles data structure:

n_bubbles = 50bubbles = np.zeros(n_bubbles, dtype=[('position', float, 2), ('size', float, 1),                                     ('growth', float, 1), ('color', float, 4)])

3. Initialize the starting positions randomly:

bubbles['position'] = np.random.uniform(0, 1, (n_bubbles, 2))

4. Plot the scatter plot:

scat = ax.scatter(bubbles['position'][:, 0], bubbles['position'][:, 1],                   s=bubbles['size'], lw=0.5, facecolors=bubbles['color'])

5. Define the animate function that directs the animation:

def animate(frame_number): # Get the index of the ...