Creating subsets on multiple features in python for segmentation

Question

I want to segment a dataset containing items (labeled with IDs), and multiple categorical features that take different values (for instance, color takes 'blue', 'orange', 'green'; size takes 'S', 'M', 'L', brand takes 'Brand A', 'Brand B', etc.):

ID	Brand	Color	Size	Price
1	Brand 1	Orange	S	23
2	Brand 2	Blue	XXL	3
3	Brand 1	Green	XXXL	45
4	Brand 2	Blue	M	200

I can easily do it by hand for 1 or 2 features (with a small number of values). E.G. if I segment by brand I get:

ID	Brand	Color	Size	Price
1	Brand 1	Orange	S	23
3	Brand 1	Green	XXXL	45

and

ID	Brand	Color	Size	Price
2	Brand 2	Blue	XXL	3
4	Brand 2	Blue	M	200

Unfortunately, some features take 10+ values. Moreover, the number of subsets explodes if I want to segment according to more than 1 feature for segmentation. I am trying to test different levels of segmentation (e.g. color + brand, color+brand+size) which is why I don't do it by hand.

I am trying to figure out a function that take the dataframe and a list of features in input and that output all the different subsets but for now, my code is worthless.

Thank you in advance if you think you can help me!