python 将csv 表格中的一列数据，重复10个周期后写入 csv 的 某一列

import pandas as pd
import numpy as np
import glob,os
import matplotlib.pylab as plt
from scipy import interpolate
import operator
from functools import reduce

save_wav_file = "E:\\new_CO\\WAV"
path = r'E:\\new_CO\\wav_data'
file = glob.glob(os.path.join(path, "*.csv"))
# print(file)
dl = []
for f in file:
    dl.append(f)
for  i in  dl:
    df = pd.read_csv(i)
    ABP = df['values'].tolist()
    m = 100
    x=[i for i in range (1,len (ABP)+1)]
    xi = np.linspace(1,len(ABP), m)
    f = interpolate.interp1d(x, ABP,kind='slinear')
    yi=f(xi)
    ti=np.array([yi]*10)# 将一个周期的波形重复10个周期
    ti=ti.flatten() # 此时，该数据为二维数据，需要展平，变为一维数据
    
    wav_name=i.split("\\")[-1]
    wav = pd.DataFrame({
     "values":ti })
    wav.to_csv(os.path.join(save_wav_file, wav_name), index=False)
# print(yi.shape)
# print(ti.shape)