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NumPy in a Nutshell

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Mathematical 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:

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)

              
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.

Compito

Swipe to start coding

  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.

Soluzione

import numpy as np

# 1. Creating arrays [10, 15, 20, 30] and [7, 3, 1, 9]
arr_1 = np.array([10, 15, 20, 30])
arr_2 = np.array([7, 3, 1, 9])

# 2. Create another array [-3, -12, -19, -21] by manipulating the first two
result_array = arr_2 - arr_1

# 3. Displaying all three arrays
print(arr_1, arr_2, result_array)

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Sezione 2. Capitolo 2
import numpy as np

# 1. Creating arrays [10, 15, 20, 30] and [7, 3, 1, 9]
arr_1 = ___
arr_2 = ___

# 2. Create another array [-3, -12, -19, -21] by manipulating the first two
result_array = ___

# 3. Displaying all three arrays
___(arr_1, arr_2, result_array)

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