31 Mar Arithmetic Operations on Numpy arrays
Perform arithmetic operations on Numpy arrays using the sum(), subtract(), multiply(), and divide() methods. Let us see the operations one by one:
- Add Numpy Arrays
- Subtract Numpy Arrays
- Multiply Numpy Arrays
- Divide Numpy Arrays
Add Numpy arrays
To add the elements of NumPy arrays, the sum() method is used. It adds each and every element of both arrays and displays the result in a new array.
Let us see the following examples to add arrays:
- Add the elements of Numpy arrays
- Add column values using the axis parameter
- Add individual array values using the axis parameter
Example1: Add the elements of Numpy arrays
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Add the arrays elements resarr = np.sum([n1, n2]) print("Sum = ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Sum = 410 |
Example2: Add column values using the axis parameter
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create two arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Add column values using axis parameter resarr = np.sum([n1, n2], axis=0) print("Sum = ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Sum = [ 80 95 110 125] |
Example 3: Add individual array values using the axis parameter
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create two arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Add individual array values using axis parameter resarr = np.sum([n1, n2], axis=1) print("Sum result= ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Sum result= [ 90 320] |
Subtract Numpy arrays
Use the subtract() method to subtract one array from another. It subtracts and displays the result in a new array. Let us see an example to subtract NumPy arrays:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create two arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Subtract Numpy arrays resarr = np.subtract(n1, n2) print("Subtraction result = ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Subtraction result = [-50 -55 -60 -65] |
Multiply Numpy arrays
Use the multiply() method to multiply elements of one array to another. It multiplies and displays the result in a new array. Let us see an example to multiply NumPy arrays:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create Numpy arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Multiply Numpy arrays resarr = np.multiply(n1, n2) print("Multiplication result = ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Multiplication result = [ 975 1500 2125 2850] |
Divide Numpy arrays
The divide() method divides elements of one array with elements of another. It divides and displays the result in a new array. Let us see an example to divide NumPy arrays:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import numpy as np # Create two Numpy arrays n1 = np.array([15, 20, 25, 30]) n2 = np.array([65, 75, 85, 95]) print("Array1 =", n1) print("Array2 =", n2) # Divide arrays resarr = np.divide(n2, n1) print("Division Result = ", resarr) |
Output
|
1 2 3 4 5 |
Array1 = [15 20 25 30] Array2 = [65 75 85 95] Division Result = [4.33333333 3.75 3.4 3.16666667] |
If you liked the tutorial, spread the word and share the link and our website Studyopedia with others.
For Videos, Join Our YouTube Channel: Join Now
Read More:
No Comments