检查Numpy中2D数组是否包含特定的1D数组
问题描述：
有没有一种方法可以检查Numpy中的矩阵是否包含特定向量?
Is there a way I can check to see whether a matrix in Numpy contains a specific vector?
即
X = np.array([[1, 1, 1], [2, 2, 2], [3, 3, 3]])
v = np.array([1, 1, 1])
我希望能够测试: X 中的 bool = v .我知道这不适用于Numpy，并且想知道是否有ay可以在没有令人讨厌的循环的情况下对此进行测试吗?感谢您的帮助！
I want to be able to test: bool = v in X. I know this doesn't work with Numpy and wonder if there is a ay to test this without obnoxious loops? Thanks for any help!
答
您可以使用 all 汇总行，然后查看是否有所有行都匹配的行.
You can aggregate the rows with all then see if there's any row where all the columns have matched.
np.any(np.all(np.isin(X,v,True),axis=1))
我应该提到，这是假设您的行是独特且唯一的.
I should mention, this is assuming that your rows are distinct and unique.