How do I use the inverse FFT in NumPy?

How do I use the inverse FFT in NumPy?

You can use the numpy.fft.ifft function to compute the inverse FFT. Just pass your frequency domain data as an argument.

Can you show me a simple example?

Sure! Here's a quick example:

import numpy as np

# Sample frequency domain data
freq_data = np.array([0, 1, 0, 0])

# Compute the inverse FFT
time_data = np.fft.ifft(freq_data)
print(time_data)

What does the output represent?

The output represents the time domain signal corresponding to the input frequency domain data.

Are there any important parameters I should know about?

The ifft function has a few optional parameters like n for the length of the output and norm for normalization.