本文介绍了在一维 NumPy 数组中翻转零和一的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个一维的 NumPy 数组,它由零和一个组成,如下所示:
I have a one-dimensional NumPy array that consists of zeroes and ones like so:
array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
我想要一种快速的方法来翻转"值,使零变为一,一变为零,从而产生一个像这样的 NumPy 数组:
I'd like a quick way to just "flip" the values such that zeroes become ones, and ones become zeroes, resulting in a NumPy array like this:
array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
有没有一个简单的单线?我查看了 fliplr()
函数,但这似乎需要二维或更大维度的 NumPy 数组.我敢肯定有一个相当简单的答案,但任何帮助将不胜感激.
Is there an easy one-liner for this? I looked at the fliplr()
function, but this seems to require NumPy arrays of dimensions two or greater. I'm sure there's a fairly simple answer, but any help would be appreciated.
推荐答案
你的 Q 中一定有我不明白的地方...
There must be something in your Q that i do not understand...
无论如何
In [2]: from numpy import array
In [3]: a = array((1,0,0,1,1,0,0))
In [4]: b = 1-a
In [5]: print a ; print b
[1 0 0 1 1 0 0]
[0 1 1 0 0 1 1]
In [6]:
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