- matplotlib - numpy import numpy as np import matplotlib.pyplot as plt t = np.linspace(-np.pi, np.pi, 1000) z = np.exp(1j * t) + 0.5 * np.exp(-3j * t) + 0.18 * np.exp(-11j * t) plt.plot(z.real, z.imag, 'r-') plt.gca().set_aspect('equal') plt