[Python] Selecting rows in pandas dataframe that contain same id and were created within 1...

I have a pandas dataframe that contains multiple rows with one identificator and the datetime of the row.

id creation_date
MP5694319-001 2024-05-29 12:58:00.489
MP5694319-001 2024-05-29 12:58:03.489
MP5694331-001 2024-05-29 12:58:05.489
MP5694319-001 2024-05-29 13:03:03.489

From this dataframe I need to filter rows that contain both the same id and were created within 1 minute from each other. The final result:

id creation_date
MP5694319-001 2024-05-29 12:58:00.489
MP5694319-001 2024-05-29 12:58:03.489

Dataframe contains multiple rows with various id, so I need to group them somehow and then apply the difference, but I have no idea how to do this.

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