Python | Find Mean of a List of Numpy Array
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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