python 对原有csv文件数据差值后,另存为新的文件,文件名保持不变。

import pandas as pd
import numpy as np
import glob,os
import matplotlib.pylab as plt
from scipy import interpolate
save_wav_file = "E:\\new_CO\\WAV"  # 存入csv 的文件地址
path = r'E:\\new_CO\\wav_data'#  读取原csv的文件地址
file = glob.glob(os.path.join(path, "*.csv"))
# print(file)
dl = []
for f in file:
    dl.append(f)
def read(  ):
    for  i in  dl:
        df = pd.read_csv(i)
        ABP = df['values'].tolist()
        m = 120
        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)
        wav_name=i.split("\\")[-1]
        # f = open('E:\\new_CO\\WAV', 'w', encoding='utf-8')
        wav = pd.DataFrame({
     "values": yi})
        wav.to_csv(os.path.join(save_wav_file, wav_name), index=False)
read()


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