I have a dataframe that looks like this:
a b
0 2 4
1 6 7
2 2 5
What I want is a dictionary (or some similar type of data structure) that keeps track of corresponding values of 'b' for values of 'a'. The output for this dataframe would look like this:
'2' : [4, 5]
'6' : [7]
I know I could do this with a loop but I'm wondering if there are any faster and more concise built in functions I could use instead. I'm thinking there may be a way to use groupby but I only want the values in 'b', not the whole column.
