Different result between numpy.fft.rfft and scipy.signal.freqz

1. What is the difference between Numpy fft and RFFT?
2. What is the difference between RFFT and fft?
3. What is Freqz in Python?
4. How does Numpy fft work?

What is the difference between Numpy fft and RFFT?

fft returns a 2 dimensional array of shape (number_of_frames, fft_length) containing complex numbers. For np. fft. rfft returns a 2 dimensional array of shape (number_of_frames, ((fft_length/2) + 1)) containing complex numbers.

What is the difference between RFFT and fft?

fft() accepts complex-valued input, and rfft() accepts real-valued input.

What is Freqz in Python?

scipy.signal.freqz(b, a=1, worN=None, whole=0, plot=None)[source] Compute the frequency response of a digital filter. Given the numerator b and denominator a of a digital filter, compute its frequency response: jw -jw -jmw jw B(e) b[0] + b[1]e + ....

How does Numpy fft work?

The fft function which uses the functionality of the SciPy package works in a way that, it uses the basic data structures that are used in the numpy arrays, in order to create a module that is required for scientific calculations and programming.