How to plot an angle spectrum using Matplotlib in Python?

To plot an angle 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 the 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 angle 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

Rishikesh Kumar Rishi

Updated on: 2021-06-17T11:39:41+05:30

539 Views

Kickstart Your Career

Get certified by completing the course

Get Started