Patthebug - 3 months ago 8x

Python Question

I have a

`Pandas`

`DataFrame`

`MemberID A B C D`

1 0.3 0.5 0.1 0

2 0 0.2 0.9 0.3

3 0.4 0.2 0.5 0.3

4 0.1 0 0 0.7

I would like to have another matrix which gives me the number of non-zero elements for the intersection of every column except for

`MemberID`

For example, the intersection of columns

`A`

`B`

`MemberID`

`A`

`B`

`A`

`C`

`MemberID`

`A`

`C`

The final matrix would look like this:

`A B C D`

A 3 2 2 2

B 2 3 3 2

C 2 3 3 2

D 2 2 2 3

As we can see, it should be a symmetric matrix, similar to a correlation matrix, but not the correlation matrix.

`MemberID`

I would show some initial code here but I feel like there would be a simple function to do this task that I don't know of.

Here's the code to create the

`DataFrame`

`df = pd.DataFrame([[0.3, 0.5, 0.1, 0],`

[0, 0.2, 0.9, 0.3],

[ 0.4, 0.2, 0.5, 0.3],

[ 0.1, 0, 0, 0.7]],

columns=list('ABCD'))

Any pointers would be appreciated. TIA.

Source (Stackoverflow)

Comments