Demo how we could build a realtime polar plot with matplotlib

polar_plot.py

# pip install matplotlib
# pip install PyQt5

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# Function to update the polar plot
def update(frame):
    # Your streaming data source logic goes here
    # For example, generate random data
    theta = np.linspace(0, 2*np.pi, 100)
    values = np.random.rand(100)

    # Update the polar plot
    line.set_ydata(values)
    return line,

# Set up the polar plot
fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
theta = np.linspace(0, 2*np.pi, 100)
values = np.random.rand(100)
line, = ax.plot(theta, values)

# Set up the animation
ani = FuncAnimation(fig, update, frames=range(100), blit=True)

plt.show()