find and delete from more-dimensional numpy array

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This is how I would do it:

dtype = np.dtype((np.void, (p_a_colors.shape[1] * 
                            p_a_colors.dtype.itemsize)))
mask = np.in1d(p_a_colors.view(dtype), p_rem.view(dtype))
p_r_colors = p_a_colors[~mask]

>>> p_r_colors
array([[0, 0, 0],
       [0, 2, 0],
       [3, 2, 4]])

You need to do the void dtype thing so that numpy compares rows as a whole. After that using the built-in set routines seems like the obvious way to go.

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