When creating a nested dictionary of dataframes, how can I name a dictionary based on a list name of the dataframe?

[Aaron]

When creating a nested dictionary of dataframes, how can I name a
dictionary based on a list name of the dataframe?

Given the following:

# START CODE
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] = {}  # Not sure here
    dict_of_dfs[name_of_df]['results'] = df  # Not sure here
# END CODE

I am trying to use a for loop that performs the following:

# START CODE
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
# END CODE

The above code should produce the following desired output:

{
    '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}
}


I've read multiple threads, used the module varname, and tried using
enumerate() but have been unsuccessful.

Thank you!