scipysignalbutter
scipy signal butter is a function within the SciPy library's signal processing module that calculates the coefficients for a Butterworth digital filter. A Butterworth filter is a type of signal processing filter designed to have a maximally flat frequency response in the passband. This means that within the frequencies the filter is intended to let through, the amplitude response is as flat as possible, avoiding any ripples.
The function scipy signal butter can be used to design both low-pass, high-pass, band-pass, and band-stop filters.
The output of scipy signal butter is a tuple containing two arrays: the numerator coefficients (b) and