如何将具有父/子层次结构的dataframe转换为具有单独列的parent name的dataframe？

import pandas as pd

def flatten_dataframe(df, parent_name=None):
    result = pd.DataFrame(columns=['parent name', 'child name'])
    
    for index, row in df.iterrows():
        child_name = row['child name']
        
        result = result.append({'parent name': parent_name, 'child name': child_name}, ignore_index=True)
        
        if 'child dataframe' in row:
            child_df = row['child dataframe']
            child_result = flatten_dataframe(child_df, parent_name=child_name)
            result = pd.concat([result, child_result])
    
    return result

# 原始dataframe
df = pd.DataFrame({
    'parent name': ['A', 'A', 'B', 'C'],
    'child name': ['A1', 'A2', 'B1', 'C1'],
    'child dataframe': [
        pd.DataFrame({'child name': ['A1-1', 'A1-2']}),
        pd.DataFrame({'child name': ['A2-1']}),
        pd.DataFrame({'child name': ['B1-1', 'B1-2', 'B1-3']}),
        pd.DataFrame({'child name': ['C1-1']})
    ]
})

# 将具有父/子层次结构的dataframe转换为具有单独列的parent name的dataframe
result = flatten_dataframe(df)

print(result)