Pandas, get all possible value combinations of length k grouped by feature-CodePudding

I have a Pandas dataframe something like:

Feature A	Feature B	Feature C
A1	B1	C1
A2	B2	C2

Given k as input, i want all values combination grouped by feature of length k, for example for k = 2 I want:

[{A:A1, B:B1},
 {A:A1, B:B2},
 {A:A1, C:C1},
 {A:A1, C:C2},
 {A:A2, B:B1},
 {A:A2, B:B2},
 {A:A2, C:C1},
 {A:A2, C:C2},
 {B:B1, C:C1},
 {B:B1, C:C2},
 {B:B2, C:C1},
 {B:B2, C:C2}]

How can I achieve that?

CodePudding user response：

This is probably not that efficient but it works for small scale.

First, determine the unique combinations of k columns.

from itertools import combinations
k = 2
cols = list(combinations(df.columns, k))

Then use MultiIndex.from_product to get cartesian product of k columns.

result = []
for c in cols:
    result  = pd.MultiIndex.from_product([df[x] for x in c]).values.tolist()