How can I define开发者_StackOverflow社区 in numpy a matrix that uses operations modulo 2?
For example:
0 0 1 0 1 0
1 1 + 0 1 = 1 0
Thanks!
This operation is called "xor".
>>> import numpy
>>> x = numpy.array([[0,0],[1,1]])
>>> y = numpy.array([[1,0],[0,1]])
>>> x ^ y
array([[1, 0],
[1, 0]])
BTW, (element-wise) multiplication modulo 2 can be done with "and".
>>> x & y
array([[0, 0],
[0, 1]])
You could subclass numpy.ndarray
and override the __add__
method, but I think it would be far simpler to just be explicit. For example:
import numpy as np
x = np.array([[0,0],[1,1]])
y = np.array([[1,0],[0,1]])
print (x + y) % 2
Which yields:
array([[1, 0],
[1, 0]])
精彩评论