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Mark Needham is a software developer and consultant at ThoughtWorks. I have a keen interest in developer testing and object oriented design of systems. Mark is a DZone MVB and is not an employee of DZone and has posted 371 posts at DZone. You can read more from them at their website. View Full User Profile

# Python/numpy: Selecting values by multiple indices

01.31.2013
| 570 views |

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!

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