两个Numpy数组的平均值 [英] Average values in two Numpy arrays

问题描述

给出两个ndarrays

Given two ndarrays

old_set = [[0, 1], [4, 5]]
new_set = [[2, 7], [0, 1]]

我正在寻找两个数组之间各个值的平均值，以便数据最终像这样:

I'm looking to get the mean of the respective values between the two arrays so that the data ends up something like:

end_data = [[1, 4], [2, 3]]

基本上它将应用类似

for i in len(old_set):
    end_data[i] = (old_set[i]+new_set[i])/2

但是我不确定要使用哪种语法..谢谢您的提前帮助！

But I'm unsure what syntax to use.. Thanks for the help in advance!

推荐答案

您可以创建一个包含要求平均值的2D数组的3D数组，然后使用 np沿 axis = 0 求平均值.平均值或 np.average (后者允许加权平均值):

You can create a 3D array containing your 2D arrays to be averaged, then average along axis=0 using np.mean or np.average (the latter allows for weighted averages):

np.mean( np.array([ old_set, new_set ]), axis=0 )

此平均方案可以应用于任何(n)维数组，因为创建的(n + 1)维数组将始终包含原始数组沿其 axis = 0 进行平均.

This averaging scheme can be applied to any (n)-dimensional array, because the created (n+1)-dimensional array will always contain the original arrays to be averaged along its axis=0.

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