aura - 4 months ago 11

Python Question

Suppose there is an 2-dimensional numpy array (or matrix in maths) named "A", I want to swap its 1st row with another row "n". n is can be any natural number. The following codes do not work

`A = np.eye(3)`

n = 2

A[0], A[n] = A[n], A[0]

print(A)

you can see it gives (I show the matrix form A for simplicity)

`A =`

0, 0, 1

0, 1, 0

0, 0, 1

But what I want is

`A =`

0, 0, 1

0, 1, 0

1, 0, 0

I thought about one solution is introducing another matrix "B" which is equal to "A", but "A" and "B" are different objects. Then do this

`A = np.eye(3)`

B = np.eye(3)

A[0], A[n] = B[n], B[0]

This can give the correct swap on A. But it needs an additional matrix "B", I don't know if it is computational efficient. Or maybe you have better idea? Thanks :)

Answer

List swapping swaps the variable through pass by reference. So, it does not work to do the inner element swapping by traditional swap by value which is `a,b=b,a`

Here you can do the inner list modifications. That performs one after another which eliminates the overwriting problem.

**Code:**

```
import numpy as np
A = np.eye(3)
n = 2
A[[0,n]] = A[[n,0]]
print(A)
```

**Output:**

```
[[ 0. 0. 1.]
[ 0. 1. 0.]
[ 1. 0. 0.]]
```