Try it like this:
>>> arr = np.array([100.10, 200.42, 4.14, 89.00, 34.55, 1.12]) >>> arr[[1,4,5]] array([ 200.42, 34.55, 1.12])
And for multidimensional arrays:
>>> arr = np.arange(9).reshape(3,3) >>> arr array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) >>> arr[[0, 1, 1], [1, 0, 2]] array([1, 3, 5])
bogatron
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