# Python/numpy: Selecting specific column in 2D array

I've been playing around with numpy this evening in an attempt to improve the performance of a Travelling Salesman Problem implementation and I wanted to get every value in a specific column of a 2D array.

The array looked something like this:

```
>>> x = arange(20).reshape(4,5)
>>> x
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]])
```

I wanted to get the values for the 2nd column of each row which would return an array containing 1, 6, 11 and 16.

For some reason I was expecting it to be quite complicated but in fact we can do this by using matrix style syntax like so:

```
>>> x[:, 1]
array([ 1, 6, 11, 16])
```

Here we are first saying that we want to return all the rows by specifying ':' and then the '1' indicates that we only want to return the column with index 1.

If we wanted to return a specific row as well then we'd specify a value before the comma and it'd be a standard 2D array value lookup:

```
>> x[2,1]
11
```

or

```
>> x[2][1]
11
```

##### About the author

Mark Needham is a Developer Relations Engineer for Neo4j, the world's leading graph database.