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]
