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Sorting Arrays | Important Functions
NumPy in a Nutshell
course content

Course Content

NumPy in a Nutshell

NumPy in a Nutshell

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

bookSorting 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:

123456
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
copy

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:

12345
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))
copy
Task
test

Swipe to show code editor

You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.

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Section 4. Chapter 4
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bookSorting 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:

123456
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
copy

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:

12345
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))
copy
Task
test

Swipe to show code editor

You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 4
toggle bottom row

bookSorting 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:

123456
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
copy

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:

12345
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))
copy
Task
test

Swipe to show code editor

You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

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:

123456
import numpy as np array = np.array([3, -4, 6, 0, 12, 499, -123]) print('unsorted array', array) print('sorted array', np.sort(array))
copy

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:

12345
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))
copy
Task
test

Swipe to show code editor

You have the following array: [15, -2, 33, 47, -55, 16, 0, 834]. Your task is to sort it.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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