Time for action – plotting the sinc function

We will plot the sinc() function:

1. Compute evenly spaced values with the NumPy linspace() function:

   x = np.linspace(0, 4, 100)

2. Call the NumPy sinc() function:

   vals = np.sinc(x)

3. Plot the sinc() function with matplotlib:

   plt.plot(x, vals)
   plt.show()

   The sinc() function will have the following output:

   

   The sinc2d() function requires a two-dimensional array. We can create it with the outer() function, resulting in this plot (code is in the following section):

   

What just happened?

We plotted the well-known sinc function with the NumPy sinc() function (see plot_sinc.py):

import numpy as np
import matplotlib.pyplot as plt


x = np.linspace(0, 4, 100)
vals = np.sinc(x)

plt.plot(x, vals)
plt.title('Sinc function')
plt.xlabel('x')
plt.ylabel('y')
plt.grid()
plt.show()

We did the same for two dimensions (see sinc2d.py):

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 4, 100)
xx = np.outer(x, x)
vals = np.sinc...