Python | Find Mean of a List of Numpy Array
Last Updated :
14 Mar, 2019
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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()
Python3 1==
Python3 1==
# 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:
Method #2: Using np.average()
[2.0, 5.0, 8.0]
# 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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