下面是我在个人项目中使用的一个工作示例。不要介意chardet模块，它只是用来检测编码的

import chardet
def read_file(path, keyword, delim=";", encoding="latin-1"):
    """
     Read file and create data frame. This function is used to read data from csv file
     
     @param path - path to file to read
     @param keyword - first row starting with keyword to look for
     @param delim - delimiter to use for reading csv file default is space
     @return data frame or 0 if file not found or error
     """
    num = 0
    with open(path) as f:
        lines = f.readlines()        
        #get list of all possible lins starting by first_col
        # Find the first row starting with keyword in the list of lines
        for i in range(10):
            # Find the first column in the line
            if keyword in lines[i]:
                encoding = chardet.detect(str.encode(lines[i]))    
                num = i
                break
    if num < 1:
        return
    encoding = encoding["encoding"]
    if encoding == "ascii":
        encoding = "latin-1"
    elif encoding == "utf-8":
        delim = ";"
    try:
        df = pd.read_csv(path, delimiter=delim, skiprows=num, on_bad_lines="skip", encoding=encoding)
    except:
        df = pd.read_csv(path, delimiter="\t", skiprows=num, on_bad_lines="skip", encoding="latin-1")

字符串
只要使用这个函数与您的文件名的路径，您的关键字在这里将是's，s，N，s'