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

Question

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?

Asked By: NaiveBae

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Source

Answer 1

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.

Answered By: Kraigolas

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

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