我有代码可以平滑列中的一些加速度计x，y，z值（玩具数据）：

import numpy as np
import pandas as pd
from scipy.interpolate import make_interp_spline, BSpline
idx = [1,2,3,4]
ts_length = 200

idx = np.array(idx,dtype=int)
accel = [[-0.7437,0.1118,-0.5367],
         [-0.5471,0.0062,-0.6338],
         [-0.7437,0.1216,-0.5255],
         [-0.4437,0.3216,-0.3255],
]
print(accel)
accel = np.array(accel,dtype=float)
accel_sm = np.zeros([ts_length,3])
idxnew = np.linspace(idx.min(), idx.max(), ts_length) 
for i in range (0,3):
         c = accel[:,i]
         spl = make_interp_spline(idx, c, k=3)
         c_smooth = spl(idxnew)
         accel_sm[:, i] = c_smooth
print(accel_sm)

我只是随便选了ts_length = 200，因为我只是想让这个例子工作。但我在想是否有经验法则来确定它相对于len（idx）应该有多大，才能在不使平滑数组变得不必要的大的情况下做好平滑工作？