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:

    Time for action – plotting the sinc function

    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):

    Time for action – plotting the sinc function

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(xx)

plt.imshow(vals)
plt.title('Sinc 2D')
plt.xlabel('x')
plt.ylabel('y')
plt.grid()
plt.show()
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