[Python] Convert (Many) Integer-Valued Rows into a Binary Indicator Column in Pandas

This seems a little to me like one-hot encoding, but notably different. What I want to do is take a row of integers from a Pandas DataFrame and produce a binary column with 1's at the index locations specified by the integers and 0's everywhere else. If possible, I would like to do this for many rows at the same time. So a trivial example would be given as taking

A B C
1 4 7
2 5 8
3 6 9

and producing

index .1 .2 .3
1 1 0 0
2 0 1 0
3 0 0 1
4 1 0 0
5 0 1 0
6 0 0 1
7 1 0 0
8 0 1 0
9 0 0 1

Is there a built in function that does something similar to this? Thanks for any help!

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