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NumPy in a Nutshell
NumPy in a Nutshell
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:
import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
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
Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående mulighederTak for dine kommentarer!
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:
import numpy as np arr = np.array([7, 43, 56, 123, 10, 3]) x = arr.copy() arr[0] = 42 print(arr) print(x)
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
Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående mulighederTak for dine kommentarer!
Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder