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pythonmatplotlibpolar-coordinates

Problem doing Polar plot of a antenna radiation function


I am trying to plot this radiation pattern figure

enter image description here

of the following equation:

enter image description here

I can make it partially:

%matplotlib inline
import matplotlib.ticker
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
import numpy as np
import pylab as pl

def gain_dip(theta, phi):
    return 1.641*(np.cos(np.pi/2*np.cos(theta))/np.sin(theta))**2

theta = np.arange(-np.pi, np.pi,0.01)
# plot
ax = plt.subplot(111, polar=True)
# set zero west
ax.set_theta_zero_location('W')
ax.set_theta_direction('clockwise')
# let set an azimuth for example, pi
plt.plot(theta, gain_dip(theta, np.pi))

which plots the elevation angle (theta) and is similar to the elevation of the example. However, it has a line at 180 degrees angle that should not appear.

enter image description here

I would like to plot the azimuthal angle, phi, too, but when I try it gives error:

phi = np.arange(-np.pi, np.pi,0.01)
ax = plt.subplot(111, polar=True)
# set zero west
ax.set_theta_zero_location('W')
ax.set_theta_direction('clockwise')
plt.plot(phi, gain_dip(np.pi/2, phi))

ValueError: x and y must have same first dimension, but have shapes (629,) and (1,)

And, it is possible to plot both angles like in the first plot?


Solution

  • Consider to have 2 numpy vector pattern = [patternH,patternV] with for example .MSI antenna data or point for your function.

    pattern = [patternH,patternV]
    NameFig = "Plot.jpg"
    Titolo = "First Picture"
    
    M_PI_O_180 = .01745329251994329576
    r = np.arange(0, 360, 1)
    theta = r*M_PI_O_180
    fig, axs = plt.subplots(1,2,figsize=(11, 6),subplot_kw={"projection" : "polar"})
    fig.suptitle('Modello '+Titolo, fontsize=12)
    
    ax = axs[0]
    ax.plot(theta,pattern[0],linewidth= 2.5)
    ax.set_rmax(0)
    ax.set_theta_direction(-1)
    ax.set_thetagrids([0,30, 60,90,120,150,180,210,240,270,300,330])
    ax.set_rticks([-3, -10,-20],labels= ["-3dB", "-10dB","-20dB"])
    ax.set_rlabel_position(270)
    ax.grid(True,which="minor",linestyle= ":")
    ax.grid(True,which="major",linewidth= 1.2)
    ax.minorticks_on()
    ax.set_title("Diagramma Orizzontale", {"va":"bottom"})
    
    axs[1].plot(theta,pattern[1],linewidth= 2.5)
    axs[1].set_rmax(0)
    axs[1].set_theta_direction(-1)
    axs[1].set_thetagrids([0,30, 60,90,120,150,180,210,240,270,300,330])
    axs[1].set_rticks([-3, -10,-20,-30,-40],labels= ["-3dB", "-10dB","-20dB","-30dB","-40dB"])
    axs[1].set_rlabel_position(270)
    axs[1].grid(True,which="minor",linestyle= ":")
    axs[1].grid(True,which="major",linewidth= 1.2)
    axs[1].minorticks_on()
    axs[1].set_title("Diagramma Verticale", {"va":"bottom"})
    plt.savefig(NameFig)
    

    enter image description here