Make New Dataframes From Grouped Dataframe Automatically

I have this dataframe grouped

df1 = pd.DataFrame( { 
    "Name" : ["Alice", "Bob", "Mallory", "Mallory", "Bob" , "Mallory"] , 
    "City" : ["Seattle", "Seattle", "Portland", "Seattle", "Seattle", "Portland"] } )



group = df1.groupby('City')

for city, city_df in group:
    print(city)

    print(city_df)

how can I get this output into new dataframes without specifying the new dfs ? like if a got 4 groups out next time, i want to get 4 dfs automatically

Portland
      Name      City
2  Mallory  Portland
5  Mallory  Portland
Seattle
      Name     City
0    Alice  Seattle
1      Bob  Seattle
3  Mallory  Seattle
4      Bob  Seattle

You can use the magic method __iter__() to get a groupby iterator and convert it into a dictionary with dict():

dct = dict(df.groupby('City').__iter__())

If you want to get separate dataframes from the dictionary you can use the method values():

df1, df2 = dct.values()