# Python/numpy: Selecting values by multiple indices

As I mentioned in my previous post I've been playing around with numpy and I wanted to get the values of a collection of different indices in a 2D array.

If we had a 2D array that looked 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 knew that it was possible to retrieve the first 3 rows by using the following code:

```
>>> x[0:3]
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14]])
```

What I wanted to do, however, was retrieve the 1st, 3rd and 4th rows which we can do by passing a collection to the array lookup function:

```
>>> x[[0,2,3]]
array([[ 0, 1, 2, 3, 4],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]])
```

My collection of indices was actually in a tuple so I needed to use the list function to convert it to the appropriate data structure first:

```
>>> x[list((0,2,3))]
array([[ 0, 1, 2, 3, 4],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]])
```

Pretty neat!

##### About the author

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