Python Dictionary : Issue in Mapping Sorted dataframe column to a dictionary

Can someone help me understand why python dictionary retain the original data order rather than taking the sorted data.

For Example here is a dataframe (df):

    Id       Date 0  AB001    12-03-2020 1  AB002    14-08-2023 2  AB003    16-08-2017 3  AB001    23-12-2023

Upon sorting the "Date" column to newest to oldest:

df.sort_values(['Date'],ascending=[False],inplace=True)     Id       Date1  AB001 2023-12-233  AB002 2023-08-140  AB001 2020-03-122  AB003 2017-08-16

When I map them using the below code

date_dict = dict(zip(df['Id'], df['Date']))

upon printing the value of Key ABOO1 --> the output is 2020-03-12 not 2023-12-23.

why does this happen?