Delete rows of Numpy Array that contain combinations of certain numbers-CodePudding

i have an Array containing faces of a triangulation that looks like this:

faces = np.array([[4, 0, 1],
                  [5, 4, 1],
                  [7, 5, 1],
                  [7, 5, 4],
                  [3, 0, 1],  # row to delete
                  [7, 3, 1],
                  [4, 2, 0],
                  [6, 4, 2],
                  [7, 6, 2],
                  [7, 6, 4],
                  [3, 2, 0],  # row to delete
                  [7, 3, 2]])

Each number in the entry describes a 3-dimensional vertice. Now i want to delete rows only containing combinations of following list: indices = [0, 1, 2, 3]

How could i do this? I have tried some options, however i can't delete just the two faces that i wish to delete.

CodePudding user response：

Assuming you have unique elements in each row, you could use:

faces_filtered = faces[~np.isin(faces, indices).all(1)]

output (initial rows 4 and 10 have been removed):

array([[4, 0, 1],
       [5, 4, 1],
       [7, 5, 1],
       [7, 5, 4],
       [7, 3, 1],
       [4, 2, 0],
       [6, 4, 2],
       [7, 6, 2],
       [7, 6, 4],
       [7, 3, 2]])