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Python | Find Mean of a List of Numpy Array

Last Updated : 14 Mar, 2019

Given a list of Numpy array, the task is to find mean of every numpy array. Let’s see a few methods we can do the task.

Method #1: Using np.mean()

# Python code to find mean of every numpy array in list 
  
# Importing module 
import numpy as np 
  
# List Initialization 
Input = [np.array([1, 2, 3]), 
         np.array([4, 5, 6]), 
         np.array([7, 8, 9])] 
  
# Output list initialization 
Output = [] 
  
# using np.mean() 
for i in range(len(Input)): 
   Output.append(np.mean(Input[i])) 
  
# Printing output 
print(Output) 

Output:

[2.0, 5.0, 8.0]

Method #2: Using np.average()

# Python code to find mean of  
# every numpy array in list 
  
# Importing module 
import numpy as np 
  
# List Initialization 
Input = [np.array([11, 12, 13]), 
         np.array([14, 15, 16]), 
         np.array([17, 18, 19])] 
  
# Output list initialization 
Output = [] 
  
# using np.mean() 
for i in range(len(Input)): 
   Output.append(np.average(Input[i])) 
  
# Printing output 
print(Output) 

Output:

[12.0, 15.0, 18.0]

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