import matplotlib.pyplot as plt
import numpy as np

# Create some data for the top subplot
x = np.linspace(0, 10, 100)
y = np.sin(x) + np.random.normal(0, 0.5, 100) + np.sin(2*x) + np.random.normal(0, 0.5, 100) + np.sin(3*x) + np.random.normal(0, 0.5, 100)

# Create the figure and top subplot
fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 6), sharex=True)
ax1.plot(x, y, '-', label='Original signal')
ax1.set_title('Original signal with noise')
ax1.legend()

# Create the bottom subplot with the smooths
widths = [2, 5, 10]
styles = [':', '--', '-.']
colors = ['r', 'g', 'b']
for i, width in enumerate(widths):
    y_smooth = np.convolve(y, np.ones(width)/width, mode='same')
    ax2.plot(x, y_smooth, styles[i], color=colors[i], label='Smooth width = {}'.format(width))
ax2.set_title('Smoothed signals')
ax2.legend()

# Show the plot
plt.show()