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pythonarraysnumpyzip

in Numpy, how to zip two 2-D arrays?

For example I have 2 arrays

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

How can I zip a and b so I get

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

?

Solution

  • You can use dstack: 

    >>> np.dstack((a,b))
array([[[0, 0],
        [1, 1],
        [2, 2],
        [3, 3]],

       [[4, 4],
        [5, 5],
        [6, 6],
        [7, 7]]])

    If you must have tuples:

    >>> np.array(zip(a.ravel(),b.ravel()), dtype=('i4,i4')).reshape(a.shape)
array([[(0, 0), (1, 1), (2, 2), (3, 3)],
       [(4, 4), (5, 5), (6, 6), (7, 7)]],
      dtype=[('f0', '<i4'), ('f1', '<i4')])

    For Python 3+ you need to expand the zip iterator object. Please note that this is horribly inefficient:

    >>> np.array(list(zip(a.ravel(),b.ravel())), dtype=('i4,i4')).reshape(a.shape)
array([[(0, 0), (1, 1), (2, 2), (3, 3)],
       [(4, 4), (5, 5), (6, 6), (7, 7)]],
      dtype=[('f0', '<i4'), ('f1', '<i4')])