Calculate average values of two given NumPy arrays

Last Updated : 20 Aug, 2020

Finding average of NumPy arrays is quite similar to finding average of given numbers. We just have to get the sum of corresponding array elements and then divide that sum with the total number of arrays.

Let’s see an example:

Example 1: Calculate average values of two given NumPy 1d-arrays

Python3

# import library 
import numpy as np 
  
#  create a numpy 1d-arrays 
arr1 = np.array([3, 4]) 
arr2 = np.array([1, 0]) 
  
# find average of NumPy arrays 
avg = (arr1 + arr2) / 2
  
print("Average of NumPy arrays:\n", 
      avg)

Output:

Average of NumPy arrays:   [2. 2.]

Example 2: Calculate average values of two given NumPy 2d-arrays

Python3

# import library 
import numpy as np 
  
#  create a numpy 2d-arrays 
arr1 = np.array([[3, 4], [8, 2]]) 
arr2 = np.array([[1, 0], [6, 6]]) 
  
# find average of NumPy arrays 
avg = (arr1 + arr2) / 2
  
print("Average of NumPy arrays:\n", 
      avg)

Output:

Average of NumPy arrays:   [[2. 2.]   [7. 4.]]

Averaging over every N elements of a Numpy Array

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Calculate average values of two given NumPy arrays

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