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Oppiskele Negative Indexing | Indexing and Slicing
NumPy in a Nutshell

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Negative Indexing

We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.

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import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
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This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.

The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.

Tehtävä

Swipe to start coding

You have the following array: [[-4, 3, 1], [2, 10, -4]]. Access the value 10.

Let's give it a try. Use only negative indices.

Ratkaisu

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book
Negative Indexing

We discussed positive indexing, but there is also negative indexing. Negative indexing starts from the end, with index -1 referring to the last element, index -2 referring to the second-to-last element, and so on.

12345
import numpy as np arr = np.array([[1, 3, 5, 7, 9], [2, 4, 6, 8, 10]]) print(arr[-1 , -1])
copy

This example illustrates how to retrieve a value of 10 from a given two-dimensional array using negative indexing.

The first index determines the row we choose (-1 refers to the last row), while the second index corresponds to the element we select within that row (-1 is the last one). As a result, we obtain a value of 10. Run the code above to verify it.

Tehtävä

Swipe to start coding

You have the following array: [[-4, 3, 1], [2, 10, -4]]. Access the value 10.

Let's give it a try. Use only negative indices.

Ratkaisu

Switch to desktopVaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoista
Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

close

Awesome!

Completion rate improved to 4.76

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