python - Most efficient approach to finding common opponents pandas -


i have pandas dataframe match results, i'm trying calculate stats between players based on common opponents. i'm struggling think of efficient approach. i'm doing generating dictionary players keys , values set of players have played against. next step generating dictionary key pair of players , values opponents have had in common , iterate on df, filter df on matches played in past , on matches played between 1 of players , 1 of common opponents. works not fast. i'm aware never fast feel there better approach. here sample:

winner loser date    other stats      b     1-1-13  xx      c     1-2-14  xx b          2-2-14  xx c      d     1-3-14  xx c          2-3-14  xx d          3-3-14  xx

so common opponents set be:

a,b: {} a,c: {d} a,d: {c} b,c: {a} b,d: {a} c,d: {a}

stats things average win%


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