Indexing and Slicing

Indexing and Slicing#

After building or loading an array (lists, tuples) in Python, a common task is to access individual elements of these arrays or to crop out parts of them.

Indexing#

Let’s start with a list of numbers

data = [34, 0, 65, 23, 51, 9, 50, 78, 34, 100]

We can determine how many elements are in data:

len(data)

As shown earlier, we can access specific elements by passing an index. Counting the element-index starts at 0.

data[0]

data[1]

We can also pass negative indices. This will access elements from the end of the list. The last element has index -1.

data[-1]

data[-2]

Slicing: selecting ranges in lists#

We can also generate a new list that contains the first three elements. Therefore, we pass a range in form [start:end]. The first element has index start and the last element of the new list will be just before end.

data

[34, 0, 65, 23, 51, 9, 50, 78, 34, 100]

data[0:2]

[34, 0]

data[0:3]

[34, 0, 65]

data[1:2]

[0]

Furthermore, we don’t have to specify either start or end if we want to select all entries in a list from the start or until the end.

data

[34, 0, 65, 23, 51, 9, 50, 78, 34, 100]

data[:2]

[34, 0]

data[:3]

[34, 0, 65]

data[2:]

[65, 23, 51, 9, 50, 78, 34, 100]

data[3:]

[23, 51, 9, 50, 78, 34, 100]

This also works with negative indices

data[-2:]

[34, 100]

Slicing: stepping over entries in lists#

The : can also be used to provide a step length using the syntax [start:end:step].

data

[34, 0, 65, 23, 51, 9, 50, 78, 34, 100]

For example we can select every seceond element starting at the first:

data[0:10:2]

[34, 65, 51, 50, 34]

data[::2]

[34, 65, 51, 50, 34]

We can also start at the second element (index 1):

data[1::2]

[0, 23, 9, 78, 100]