Python对数据进行插值和下采样的方法

import numpy as np
x1 = np.linspace(1, 4096, 1024)
x_new = np.linspace(1, 4096, 4096)
from scipy import interpolate
tck = interpolate.splrep(x1, data)
y_bspline = interpolate.splev(x_new, tck)

import pandas as pd
index = pd.date_range('1/1/2000', periods=4096, freq='T') #这个起始时间任意指定，freq为其频率
data = pd.read_table(filename, names=['feat'])
data.index = index
data_obj = data.resample('4T', label='right') #第一个为抽样频率，label表示左右开闭区间
data_new = data_new.asfreq()[0:]