In
a previous example, we made polar pots with the Sage function polar_plot. However, polar plots in matplotlib look nicer because they are plotted on special axes. Let's use matplotlib to make these plots again. This example uses the Pyplot interface to matplotlib:
import numpy
import matplotlib.pyplot as plt
# Repeat the antenna pattern example with the Pyplot interface
N = float(7)
theta = numpy.arange(0, numpy.pi, numpy.pi/100)
def normalized_element_pattern(theta):
return abs(numpy.sin(theta))
def array_factor(theta, N):
return abs(float(1 / N) * numpy.sin(float(N * pi / 2)
* numpy.cos(theta))
/ numpy.sin(float(pi / 2) * numpy.cos(theta)))
plt.figure(figsize=(6, 4))
plt.subplot(121, polar=True)
plt.polar(theta, normalized_element_pattern(theta))
plt.title('Element factor')
plt.subplot(122, polar=True)
plt.polar(theta, array_factor(theta, N), color='red',
label="Array factor")
plt.polar(theta, array_factor(theta...