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Mathematical Operations with 1-D Arrays | Dimensions in Arrays
NumPy in a Nutshell
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NumPy in a Nutshell

NumPy in a Nutshell

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

bookMathematical Operations with 1-D Arrays

With 1-dimensional arrays, you can also perform various mathematical operations. You can subtract, add, multiply, and divide one-dimensional arrays. However, to do this, your arrays must have the same number of elements.

Let's see how we can add two 1-dimensional arrays:

123456789
import numpy as np # Creating array arr1 = np.array([5, 7, 3, 1]) arr2= np.array([4, 1, 0, 6]) result_arr = arr1 + arr2 # Displaying array print(result_arr)
copy

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Following this example, it's evident that if the number of elements in the first array does not match the number of elements in the second array, it will be impossible to perform addition, subtraction, division, or multiplication between them.

Tarefa
test

Swipe to show code editor

  1. Create two 1-D arrays:

    • the first one should contain the following values: 10, 15, 20, 30;
    • the second one should contain these values: 7, 3, 1, 9.
  2. Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

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Seção 2. Capítulo 2
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bookMathematical Operations with 1-D Arrays

With 1-dimensional arrays, you can also perform various mathematical operations. You can subtract, add, multiply, and divide one-dimensional arrays. However, to do this, your arrays must have the same number of elements.

Let's see how we can add two 1-dimensional arrays:

123456789
import numpy as np # Creating array arr1 = np.array([5, 7, 3, 1]) arr2= np.array([4, 1, 0, 6]) result_arr = arr1 + arr2 # Displaying array print(result_arr)
copy

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Following this example, it's evident that if the number of elements in the first array does not match the number of elements in the second array, it will be impossible to perform addition, subtraction, division, or multiplication between them.

Tarefa
test

Swipe to show code editor

  1. Create two 1-D arrays:

    • the first one should contain the following values: 10, 15, 20, 30;
    • the second one should contain these values: 7, 3, 1, 9.
  2. Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 2
toggle bottom row

bookMathematical Operations with 1-D Arrays

With 1-dimensional arrays, you can also perform various mathematical operations. You can subtract, add, multiply, and divide one-dimensional arrays. However, to do this, your arrays must have the same number of elements.

Let's see how we can add two 1-dimensional arrays:

123456789
import numpy as np # Creating array arr1 = np.array([5, 7, 3, 1]) arr2= np.array([4, 1, 0, 6]) result_arr = arr1 + arr2 # Displaying array print(result_arr)
copy

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Following this example, it's evident that if the number of elements in the first array does not match the number of elements in the second array, it will be impossible to perform addition, subtraction, division, or multiplication between them.

Tarefa
test

Swipe to show code editor

  1. Create two 1-D arrays:

    • the first one should contain the following values: 10, 15, 20, 30;
    • the second one should contain these values: 7, 3, 1, 9.
  2. Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

With 1-dimensional arrays, you can also perform various mathematical operations. You can subtract, add, multiply, and divide one-dimensional arrays. However, to do this, your arrays must have the same number of elements.

Let's see how we can add two 1-dimensional arrays:

123456789
import numpy as np # Creating array arr1 = np.array([5, 7, 3, 1]) arr2= np.array([4, 1, 0, 6]) result_arr = arr1 + arr2 # Displaying array print(result_arr)
copy

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Following this example, it's evident that if the number of elements in the first array does not match the number of elements in the second array, it will be impossible to perform addition, subtraction, division, or multiplication between them.

Tarefa
test

Swipe to show code editor

  1. Create two 1-D arrays:

    • the first one should contain the following values: 10, 15, 20, 30;
    • the second one should contain these values: 7, 3, 1, 9.
  2. Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 2. Capítulo 2
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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