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Mathematical Operations with 1-D Arrays | Dimensions in Arrays
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

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.

Task

  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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Section 2. Chapter 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.

Task

  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 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 2. Chapter 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.

Task

  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 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!

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.

Task

  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 desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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