Combine/Append two Dictionaries of Dataframes with same keys - dataframe

Question

I have two Dictionaries of Dataframes dict_of_balance_winter{} and dict_of_balance_summer{}.
Both have 365 Days of data, So let's say I want to access the data of 1st jan 2023, I'll write dict_winter['20230101'] and it will give me winter crop data for 1st january, similarly, dict_summer['20230101] will display the dataframe for summer crop data, Both dictionaries have same keys, so to append the dataframes I cannot use the Update() method of the dictionaries because the Values get overwritten from the same key.
Sample of how dict_of_balance_winter/summer look is
I used the below code to append the dictionaries using
from itertools import chain
from collections import defaultdict
dall = {}
dall = defaultdict(list)
for k,v in chain(dict_of_balance_summer.items(),dict_of_balance_winter.items()):
dall[k].append(v)
type(dall)
def ddict2dict(d):
for k, v in d.items():
if isinstance(v, dict):
d[k] = ddict2dict(v)
return dict(d)
mydict = ddict2dict(dall)
This returns me a dictionary, But I am not able to access the dataframe at each key value.
I tried printing the Dictionary which I get after converting defaultdict to dict is as below, Seems like appending using defaultdict and converting back to dict gives me a correct key but value in the form of a list, How can I can concatenate the two dictionaries and still be able to access the dataframes using the keys in resulting dictionary, Please Help!!
The Dictionary after appending and conversion from defaultdict to dict\
I tried to append two dictionary of dataframes with same keys by using chain and defaultdict and then convert the defaultdict back to a regular dictionary.
This didn't preserve the resulting dictionary as dictionary of dataframes, The keys were correctly retrieved but the dataframes were not preserved.