Creating a lowpass filter will create a filter that passes through signals with a frequency lower than some cutoff and attenuates signals with a higher frequency.
Solution for How to create a low pass filter in Python : You can use scipy.signal.butter() to create a low pass filter Call scipy.signal.butter(order, normalized_cutoff_freq) to return two arrays of the numerator and denominator coefficients of the filter. The equation quantifying the filter is a ratio of polynomial equations with their highest power as order. normalized_cutoff_freq is the cutoff frequency of the low pass filter that is normalized by the sampling frequency of the signal. Call scipy.signal.lfilter(numerator_coeffs, denominator_coeffs, signal) to return the filtered signal that uses the coefficients numerator_coeffs and denominator_coeffs returned in the previous step.