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NumPy in a Nutshell
NumPy in a Nutshell
Sorting Arrays
Now, let's dive into sorting arrays. Sorting an array involves arranging its elements in a specific order, whether it's ascending, descending, or some other sequence.
Let's try to sort the array:
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
Note
The
sort()function returns a copy of the array, while the original array remains unchanged.
Let's try to sort a 2-D array:
import numpy as np array = np.array([[-2, 4, -12, -434, 62], [1, 4, 7, 93, 75]]) print('Unsorted array', array) print('Sorted array', np.sort(array))
Swipe to start coding
You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.
Løsning
Skift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående mulighederTak for dine kommentarer!
Sorting Arrays
Now, let's dive into sorting arrays. Sorting an array involves arranging its elements in a specific order, whether it's ascending, descending, or some other sequence.
Let's try to sort the array:
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
Note
The
sort()function returns a copy of the array, while the original array remains unchanged.
Let's try to sort a 2-D array:
import numpy as np array = np.array([[-2, 4, -12, -434, 62], [1, 4, 7, 93, 75]]) print('Unsorted array', array) print('Sorted array', np.sort(array))
Swipe to start coding
You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.
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