将长度不等的多级嵌套列表转换为数据帧

import pandas as pd

def convert_nested_list_to_dataframe(nested_list):
    # 将多级嵌套列表展平为一维列表
    flattened_list = [item for sublist in nested_list for item in sublist]
    
    # 获取最长的子列表长度
    max_length = max(len(sublist) for sublist in nested_list)
    
    # 将展平后的列表转换为数据帧
    df = pd.DataFrame(flattened_list)
    
    # 将数据帧重塑为多列的数据帧
    df = df.groupby(df.index // max_length).apply(lambda x: pd.Series(x.values))
    
    return df

# 示例输入
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8, 9]]

# 转换为数据帧
df = convert_nested_list_to_dataframe(nested_list)

# 打印结果
print(df)

   0    1    2    3
0  1  2.0  3.0  NaN
1  4  5.0  NaN  NaN
2  6  7.0  8.0  9.0