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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.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
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.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousMerci pour vos commentaires !
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous