How to find the average of each element in two different lists

Question

These are my arrays

image =  [[0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0] 
           ]
image1 = [[0,0,0,0,0,0,0,0,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0] 
           ]

I want to get the average of each element from the different arrays and make a list of new averages, please help

This is what I have done so far:

Please post the code you have tried so far - see [ask] and [mre]. — AcK, Mar 22 '21 at 07:43

Geneva · Accepted Answer · 2021-03-22T07:56:51.120

2

import numpy as np
ans = (np.array(image) + np.array(image1))/2.0
ans = ans.tolist()

but it seems to be a duplicate question Average values in two Numpy arrays

edited Mar 22 '21 at 07:56

answered Mar 22 '21 at 07:50

Geneva

156
2

Mont · Answer 2 · 2021-03-22T09:29:03.403

Numpy ninja code.

import numpy as np
image =  [[0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,1,1,1,1,1,1,0,0],
          [0,0,0,0,0,0,0,0,0,0],
          [0,0,0,0,0,0,0,0,0,0] 
           ]
image1 = [[0,0,0,0,0,0,0,0,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0],
          [0,0,1,0,0,0,1,1,0,0] 
           ]
images = [image,image1]
np.array(images).mean(axis=0)

score 0 · Answer 3 · answered Mar 22 '21 at 08:05

0

In addition to the other answers, your code would have worked as following:

imagi = []
for x, y in zip(img, img1):
    z = (x + y) / 2
    imagi.append(z)

answered Mar 22 '21 at 08:05

AcK

2,063
2
20
27

How to find the average of each element in two different lists

3 Answers3