Filter dataframe rows based on column values percentile

Question

I have a pandas dataframe df like this:

ID	Weight	A
a	0.15	1
a	0.25	3
a	0.02	2
a	0.07	3
b	0.01	1
b	0.025	5
b	0.07	7
b	0.06	4
b	0.12	2

I want to remove rows based on the ID column and Percentile of weight column such that, for df['ID'] = a, there are four rows. But if I want to keep at least 80% (it can vary) weight, I have to keep only rows with 0.15 and 0.25 weights (81.6%, whenever adding a weight crosses 80%, rest of the rows with the same 'ID' will be removed).

After the operation, df will become like this:

ID	Weight	A
a	0.15	1
a	0.25	3
b	0.07	7
b	0.06	4
b	0.12	2