""" =============== 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 and an Axes which fills it. fig = plt.figure(figsize=(7, 7)) 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), ], ) # 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) # 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", ) def update(frame_number): # Get an index which we can use to re-spawn the oldest raindrop. current_index = frame_number % n_drops # 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) # Make all circles bigger. rain_drops["size"] += rain_drops["growth"] # 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 rain_drops["color"][current_index] = (0, 0, 0, 1) rain_drops["growth"][current_index] = np.random.uniform(50, 200) # 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()