如何在numpy矩阵中获得绝对值最高的元素? [英] How to get the highest element in absolute value in a numpy matrix?

问题描述

这是我当前正在做的事情，它可以工作，但是有点麻烦:

Here is what I am currently doing, it works but it's a little cumbersome:

x = np.matrix([[1, 1], [2, -3]])
xmax = x.flat[abs(x).argmax()]

推荐答案

您要查找的值必须为x.max()或x.min()，这样您就可以做到

The value you're looking for has to be either x.max() or x.min() so you could do

max(x.min(), x.max(), key=abs)

这与aestrivex的解决方案相似，但更具可读性?请注意，如果x.min()和x.max()具有相同的绝对值，例如，这将返回最小值. -5和5.如果您有偏好，只需将输入顺序排序为max.

which is similar to aestrivex's solution but perhaps more readable? Note this will return the minimum in the case where x.min() and x.max() have the same absolute value e.g. -5 and 5. If you have a preference just order the inputs to max accordingly.

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