创建数据帧的嵌套字典时，如何根据数据帧的列表名命名字典？

Question

创建数据帧的嵌套字典时，如何根据数据帧的列表名命名字典

鉴于以下情况：

import pandas as pd

cars = {'Brand': ['Honda Civic','Toyota Corolla'],
        'Price': [22000,25000]
        }

df_cars = pd.DataFrame(cars, columns = ['Brand','Price'])

trucks = {'Brand': ['GMC Sierra','Ford F-150'],
        'Price': [50000,48000]
        }

df_trucks = pd.DataFrame(trucks, columns = ['Brand','Price'])


list_of_dfs = [df_cars, df_trucks]

# Not exactly sure how this code should be: 
dict_of_dfs = {}
for df in list_of_dfs:
    dict_of_dfs[name_of_df] = {}
    dict_of_dfs[name_of_df]['results'] = df 

我尝试使用for循环来产生以下结果：

dict_of_dfs['df_cars'] = {}    
dict_of_dfs['df_cars']['results'] = df_cars
dict_of_dfs['df_trucks'] = {}
dict_of_dfs['df_trucks']['results'] = df_trucks

应产生如下所示的期望输出：

{
    'df_cars': {
        'results':             
        Brand  Price
        0 Honda Civic  22000
        1 Toyota Corolla  25000}, 

    'df_trucks': {
        'results':        
         Brand  Price
        0  GMC Sierra  50000
        1  Ford F-150  48000}
}

我读过多个线程，使用了模块varname，并尝试使用enumerate()，但都没有成功

谢谢大家!