[Python] Applying group by then condition

How can the value of 'same_month=yes' be updated for entries grouped by "code" when the "Date" is identical?

below are examples of the data frame

import pandas as pd

df = pd.DataFrame([[1,'2023-01-02 00:00:00','01','2023',''],
[2,'2023-01-02 00:00:00','01','2023',''],
[3,'01/16/2023','01','2023',''],
[4,'01/17/2023','01','2023',''],
[5,'01/16/2023','01','2023',''],
[6,'02/13/2023','02','2023',''],
[7,'02/13/2023','02','2023',''],
[8,'02/13/2023','02','2023',''],
[9,'26/11/2018','11','2018',''],
[10,'26/11/2018','11','2018',''],
[11,'26/11/2018','11','2018',''],
[12,'26/11/2018','11','2018',''],
[13,'05/11/2018','11','2018',''],
[14,'09/11/2018','11','2018',''],

],
columns=['Number','Date','Code','year','Same_Month'])

df


so the expected result is that all of them are yes except entries number (4,13,14)

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