如何在Python中使用带通过滤器？

Question

我编写了以下代码：

from scipy.interpolate import interp1d
from scipy.signal import medfilt
z = medfilt(derivation,3)
diff = abs(derivation-z) #shows the difference between the smoothed array and the original one. 
new_smootheddata = np.where(diff>3,z,derivation)
x=np.arange(0,len(x_values[:-2]))    
f = interp1d(x,new_smootheddata,kind="linear")
xnew = np.arange(0, len(x_values[:-3]),0.01)
ynew = f(xnew)
plt.plot(x, z,"o",xnew, ynew, "-")

x_values是以下数组： [0. , 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1 , 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2 , 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3 , 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4 , 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5 , 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6 , 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7 , 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8 , 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9 , 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1. , 1.01, 1.02, 1.03, 1.04, 1.05, 1.06, 1.07, 1.08, 1.09, 1.1 , 1.11, 1.12, 1.13, 1.14, 1.15, 1.16, 1.17, 1.18, 1.19, 1.2 , 1.21, 1.22, 1.23, 1.24, 1.25, 1.26, 1.27, 1.28, 1.29, 1.3 , 1.31, 1.32, 1.33, 1.34, 1.35, 1.36, 1.37, 1.38, 1.39, 1.4 , 1.41, 1.42, 1.43, 1.44, 1.45, 1.46, 1.47, 1.48, 1.49, 1.5 ]

和derivation是以下数组： [9.88, -2.12, 29.88, -2.12, 9.88, 16.88, 9.88, 4.88, 9.88, -2.12, 9.88, 16.88, 10.88, 9.88, 10.88, 9.88, 4.88, 3.88, -2.12, 9.88, 3.88, 10.88, 10.88, 9.88, 9.88, 10.88, 10.88, 15.88, 16.88, 16.88, 22.88, 34.88, 41.88, 53.88, 60.88, -2.12, 72.88, 84.88, 97.88, 110.88, 128.88, 141.88, 159.88, 172.88, 191.88, 203.88, 222.88, 241.88, 266.88, 272.88, 297.88, 303.88, 322.88, 303.88, 279.88, 240.88, 166.88, 97.88, 22.88, -46.12, -64.12, -90.12, -139.12, -134.12, -164.12, -190.12, -2.12, -202.12, -226.12, -221.12, -227.12, -234.12, -214.12, -214.12, -215.12, -215.12, -208.12, -196.12, -189.12, -183.12, -184.12, -189.12, -183.12, -177.12, -165.12, -152.12, -146.12, -2.12, -152.12, -170.12, -171.12, -177.12, -171.12, -177.12, -170.12, -159.12, -133.12, -108.12, -77.12, -52.12, -27.12, -8.12, 21.88, 47.88, -2.12, 73.88, 84.88, 91.88, 109.88, 122.88, 103.88, 110.88, 110.88, 109.88, 109.88, 110.88, 91.88, 78.88, 66.88, 53.88, 47.88, 34.88, 29.88, -2.12, 22.88, 22.88, 15.88, 16.88, 10.88, 3.88, 9.88, 4.88, -2.12, 16.88, -2.12, 3.88, -15.12, -8.12, -15.12, -8.12, -8.12, -2.12, -8.12, -8.12, -9.12, -8.12, -8.12, -2.12, -9.12]

我用中值滤波器写代码。我想用带通滤波器做同样的事情，但是我找不到Python的函数。 有人能帮我把代码转换成使用带通滤波器而不是中值滤波器吗

注: 这是 plot