如何在python dataframe中将每一行的list like值转换为纯值？

import pandas as pd

# 创建一个包含list-like值的DataFrame
data = {'col1': [[1, 2, 3], [4, 5, 6], [7, 8, 9]],
        'col2': [('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'h', 'i')]}
df = pd.DataFrame(data)

# 定义一个函数，用于将list-like值转换为纯值
def convert_to_values(row):
    for col in row.index:
        if isinstance(row[col], (list, tuple)):
            row[col] = ', '.join(map(str, row[col]))
    return row

# 使用apply函数将每一行的list-like值转换为纯值
df = df.apply(convert_to_values, axis=1)

print(df)

  col1 col2
0  1, 2, 3  a, b, c
1  4, 5, 6  d, e, f
2  7, 8, 9  g, h, i