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

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:


              123456789
            
import numpy as np

arr = np.array([7, 43, 56, 123, 10, 3])
x = arr.copy()

arr[0] = 42

print(arr)
print(x)

Tarefa

Swipe to show code editor

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.

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Tudo estava claro?

Obrigado pelo seu feedback!

Seção 4. Capítulo 5

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:


              123456789
            
import numpy as np

arr = np.array([7, 43, 56, 123, 10, 3])
x = arr.copy()

arr[0] = 42

print(arr)
print(x)

Tarefa

Swipe to show code editor

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.

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

Tudo estava claro?

Obrigado pelo seu feedback!

Seção 4. Capítulo 5

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:


              123456789
            
import numpy as np

arr = np.array([7, 43, 56, 123, 10, 3])
x = arr.copy()

arr[0] = 42

print(arr)
print(x)

Tarefa

Swipe to show code editor

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.

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

Tudo estava claro?

Obrigado pelo seu feedback!

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:


              123456789
            
import numpy as np

arr = np.array([7, 43, 56, 123, 10, 3])
x = arr.copy()

arr[0] = 42

print(arr)
print(x)

Tarefa

Swipe to show code editor

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.

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

Seção 4. Capítulo 5

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