What are some examples of using FFT in NumPy?

Can you show me some examples of using FFT with NumPy?

Sure! FFT, or Fast Fourier Transform, is a powerful tool for analyzing frequency components in signals. Would you like to see a basic example?

Yes, please provide a simple example.

Here's a simple example: You can use numpy.fft.fft to compute the FFT of a signal. For instance:

import numpy as np

# Sample rate and time array
fs = 1000  # Sample rate in Hz
T = 1.0 / fs  # Sample interval
x = np.linspace(0.0, 1.0, fs)

# Create a signal with two frequencies
signal = 0.5 * np.sin(2.0 * np.pi * 50.0 * x) + 0.5 * np.sin(2.0 * np.pi * 120.0 * x)

# Compute FFT
fft_result = np.fft.fft(signal)

This will give you the frequency components of the signal.

What can I do with the FFT result?

You can analyze the frequency spectrum, filter signals, or reconstruct the original signal using the inverse FFT. Would you like to see how to visualize the FFT result?