如何对txt文本中的不规则行进行数据分列

import pandas as pd


def read_csv(path):
    df = pd.read_csv(path, header=1)
    pattern = r'(\d+\.\d+\.\d+\.\d+/\d+)\s\s+(\d+)?\s\s+(\d+)\s\s+(\d+)\s\s+([\d\S ]+)'
    values = df.iloc[:, 0].str.extract(pattern).values
    columns = df.columns.str.strip().str.split('\s+')[0]
    return pd.DataFrame(values, columns=columns)


def get_lower_prf(df1, df2):
    pass # 付费的代码内容，这里摘除了，嘻嘻

path_A = r"Route_A.txt"
path_B = r"Route_B.txt"

dfA = read_csv(path_A)
dfB = read_csv(path_B)

data = get_lower_prf(dfA, dfB)

data.to_csv('result.txt', '\t', index=False)