import scipy.signal as sp
nyf= sampfr/2 #Sampling Frequency/2 (Nyquist Frequency)
low=0.5/nyf   #Lower cut of the filter
high=50/fso2   #High Cut of the filter
b,a = sp.butter(5,[low,high], btype='band') #Butter generates the coefficients for the filter
dataF=sp.lfilter(b, a, data) #Does the convoultion, and the output is the filtered signal

This portion of code allows to do bandpass filtering over time series

Filter Signals using scipy

python

Python