
        
        
            
                
                
                    import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 5, 1000)
plt.plot(x, 2*x)

# Fill from x=2 to x=4
x_fill = np.linspace(2, 3, 1000)
plt.fill_between(x_fill, 2*x_fill, alpha=0.5)   # suppose f(x)=2x
plt.show()

The three arguments that we've supplied to fill_between(~) are as follows:

the x-values to shade
the upper bound of the y-values to shade in. Note that the lower bound is set to 0 by default.
the transparency of the shaded area.

This gives us the following output:

Adjusting the baseline

By default, the lower bound is fixed at y=0. We can set a custom baseline by supplying one additional argument:


        
        
            
                
                
                    import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 5, 1000)
plt.plot(x, 2*x)

# Fill from x=2 to x=3
x_fill = np.linspace(2, 3, 1000)
plt.fill_between(x_fill, 1, y2=2*x_fill, alpha=0.5)   # suppose f(x)=2x
plt.show()

Here, the second argument is our new baseline y=1, and the upper bound is set to the line.

The output is as follows:

Published by Isshin Inada

Edited by 0 others

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