I&#39;ve been going crazy trying to figure out what stupid thing I&#39;m doing wrong here.

I&#39;m using NumPy, and I have specific row indices and specific column indices that I want to select from. Here&#39;s the gist of my problem:

    import numpy as np
    
    a = np.arange(20).reshape((5,4))
    # array([[ 0,  1,  2,  3],
    #        [ 4,  5,  6,  7],
    #        [ 8,  9, 10, 11],
    #        [12, 13, 14, 15],
    #        [16, 17, 18, 19]])

    # If I select certain rows, it works
    print a[[0, 1, 3], :]
    # array([[ 0,  1,  2,  3],
    #        [ 4,  5,  6,  7],
    #        [12, 13, 14, 15]])

    # If I select certain rows and a single column, it works
    print a[[0, 1, 3], 2]
    # array([ 2,  6, 14])

    # But if I select certain rows AND certain columns, it fails
    print a[[0,1,3], [0,2]]
    # Traceback (most recent call last):
    #   File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;
    # ValueError: shape mismatch: objects cannot be broadcast to a single shape

Why is this happening? Surely I should be able to select the 1st, 2nd, and 4th rows, and 1st and 3rd columns? The result I&#39;m expecting is:

    a[[0,1,3], [0,2]] =&gt; [[0,  2],
                          [4,  6],
                          [12, 14]]

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Selecting specific rows and columns from NumPy array