I have a numpy matrix with 2 axis (row and columns) and an array. I want to remove the row in the matrix that equals to the array. For example, if the matrix is

[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]

And the array is [1, 2, 3], then the output should be:

[[4, 5, 6],
[7, 8, 9]]

CodePudding user response：

Use:

a[~(a == b).all(1)]

Example:

a = np.arange(1, 10).reshape((3, 3))
b = np.arange(1, 4)

a[~(a == b).all(1)]
array([[4, 5, 6],
       [7, 8, 9]])