What's the best way to get a list/array of element-wise means between an array and a constant?-CodePudding

Suppose I have my_array = np.array([2, 4, 6]) and I want to get another array that represents the mean of each element in my_array and a constant, say, 2. So I want to return returned_array = [2, 3, 4]. What is the best way to do this?

When I try np.mean(my_array, 2) I get TypeError: only size-1 arrays can be converted to Python scalars.

I can create my own mean function for this purpose:

def mean(a,b): 
    return (a b)/2

and this works fine. This is obviously not an ideal way to do this. What is the best way? Why must everything in numpy be an ordeal?

CodePudding user response：

How about this:

import numpy as np

my_array = np.array([2, 4, 6])
other = 2
(my_array   other) / 2
# [2. 3. 4.]

It's just the element-wise average of two numbers, which is the same as just dividing by two.