How to plot a phase spectrum in Matplotlib in Python?

To plot a phase spectrum, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.
• Get random seed value.
• Initialize dt for sampling interval and find sampling frequency.
• Create random data points for t.
• To generate noise, get nse, r, cnse and s using numpy.
• Create a figure and a set of subplots using subplots() method.
• Set the title of the plot.
• Plot the phase spectrum.
• To display the figure, use show() method.

Example

import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True np.random.seed(0) dt = 0.01 # sampling interval Fs = 1 / dt # sampling frequency t = np.arange(0, 10, dt) # generate noise: nse = np.random.randn(len(t)) r = np.exp(-t / 0.05) cnse = np.convolve(nse, r) * dt cnse = cnse[:len(t)] s = 0.1 * np.sin(4 * np.pi * t) + cnse fig, axs = plt.subplots() axs.set_title("Phase Spectrum ") axs.phase_spectrum(s, Fs=Fs, color='C2') plt.show()

Output