Kursinnhold
NumPy in a Nutshell
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:
import numpy as np array = np.array([[12, 45, 78, 34, 0], [13, 5, 78, 3, 1]]) new_array = array.reshape(-1) print(new_array)
Let's see how to use the .flatten() method:
import numpy as np array = np.array([[12, 45, 78, 34, 0], [13, 5, 78, 3, 1]]) new_array = array.flatten() print(new_array)
Let's practice!
Swipe to start coding
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].
Løsning
Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenforTakk for tilbakemeldingene dine!
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:
import numpy as np array = np.array([[12, 45, 78, 34, 0], [13, 5, 78, 3, 1]]) new_array = array.reshape(-1) print(new_array)
Let's see how to use the .flatten() method:
import numpy as np array = np.array([[12, 45, 78, 34, 0], [13, 5, 78, 3, 1]]) new_array = array.flatten() print(new_array)
Let's practice!
Swipe to start coding
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].
Løsning
Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenforTakk for tilbakemeldingene dine!
Bytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor