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Lære Copying Arrays | Important Functions
NumPy in a Nutshell
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Kursinnhold

NumPy in a Nutshell

NumPy in a Nutshell

1. Getting Started with NumPy
2. Dimensions in Arrays
3. Indexing and Slicing
4. Important Functions

book
Copying Arrays

It's worth noting that NumPy offers various methods for duplicating arrays. In this section, we'll explore one of these methods, namely: .copy().

Note

The .copy() method creates a new array with the data from the original one.

Using the .copy() method:

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import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
copy
Oppgave

Swipe to start coding

You have the following array: [12, 56, 78, 65, 1, 5].

You have to obtain the following arrays using the correct method: arr_1 = [11, 56, 78, 0, 1, 5] arr_2 = [12, 56, 78, 65, 1, 5]

Replace element 12 with 11, and element 65 with 0.

Løsning

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Seksjon 4. Kapittel 5
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book
Copying Arrays

It's worth noting that NumPy offers various methods for duplicating arrays. In this section, we'll explore one of these methods, namely: .copy().

Note

The .copy() method creates a new array with the data from the original one.

Using the .copy() method:

123456789
import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
copy
Oppgave

Swipe to start coding

You have the following array: [12, 56, 78, 65, 1, 5].

You have to obtain the following arrays using the correct method: arr_1 = [11, 56, 78, 0, 1, 5] arr_2 = [12, 56, 78, 65, 1, 5]

Replace element 12 with 11, and element 65 with 0.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 4. Kapittel 5
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
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