How to group by a dataframe and concatenate by a column

I have a df with the following structure:

Store	Sku	Value
1	A	20
2	A	20
1	B	10
2	B	25

And I have to transform it, so that the stores with the same sku and same value, end up concatenated in a cell with a “-” separator like the following.

Store	Sku	Value
1 – 2	A	20
1	B	10
2	B	25

How can I approach this?

Answer

Groupby the sku and value and then list the store

df.groupby(['Sku','Value'])['Store'].apply(list).reset_index()