Conteúdo do Curso

NumPy in a Nutshell

1. Getting Started with NumPy

What is NumPy?Function array()Basic Array Creation Quiz

2. Dimensions in Arrays

1-D Arrays Mathematical Operations with 1-D Arrays 2-D Arrays 3-D Arrays Multidimensional Arrays Quiz

3. Indexing and Slicing

Access Array Elements Match Math Operations Access 2-D and 3-D Arrays Match the Slicing Negative Indexing Match the Indices Get One Dimensional Array Using Slice and Only Positive Indexes Get One Dimensional Array Using Only Negative Indexes

4. Important Functions

Reshaping Flattening Joining Sorting Arrays Copying Arrays

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:


              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))

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))

Tarefa

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

Tarefa

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

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 4. Capítulo 4

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:


              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))

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))

Tarefa

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

Tarefa

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

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 4. Capítulo 4

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:


              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))

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))

Tarefa

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

Tarefa

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

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

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))

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))

Tarefa

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

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Seção 4. Capítulo 4

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo