Course Content
NumPy in a Nutshell
1. Getting Started with NumPy
2. Dimensions in Arrays
3. Indexing and Slicing
4. Important Functions
NumPy in a Nutshell
Flattening
Do you know what it means to flatten an array? Flattening is the process of transforming a multidimensional array into a one-dimensional one.
This transformation can be achieved using two different methods:
- the first one we're already familiar with is the
.reshape(-1)
method with an argument of-1
; - the other option is to use the
.flatten()
method.
Now, let's have a look at both of these methods in practice.
Let's see how to use the .reshape(-1)
method:
Let's see how to use the .flatten()
method:
Let's practice!
Task
Consider the following array:
[[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]]
You should transform it into the following array:
[1 2 3 4 5 6 7 8 9 10 11 12]
.
Everything was clear?
Section 4. Chapter 2