Python converts .csv files in multiple folders into .h5 files in batches

1. Create a new .py file, modify the file storage path, and run it:

#csv文件批量转化为hdf文件
import os
import pandas as pd
def csv_save_as_hdf(data_path):
    for dirpath,dirname,filenames in os.walk(data_path): #os.walk()遍历文件
        for fname in filenames:
            file_name=os.path.join(dirpath,fname)  #os.path.join()合并路径
            if file_name.endswith('.csv'):
                df=pd.read_csv(file_name)
                floder,name=os.path.splitext(file_name) #分割后缀
                df.to_hdf(f"{floder}.h5",file_name)
                print(f'{file_name} 转换成功啦！)
                print('-----------------------------------------------------------------------------------------------------------')
                os.remove(file_name)
    print('finished...')
data_path=r"D:\wangxiaoying\shujuji\data" #csv文件所存的位置
csv_save_as_hdf(data_path)  #调用一下，转换完成

2. The conversion is successful~~