Select One Element in Each Row of a Numpy Array by Column Indices -


is there better way "output_array" "input_array" , "select_id" ?

can rid of range( input_array.shape[0] ) ?

>>> input_array = numpy.array( [ [3,14], [12, 5], [75, 50] ] ) >>> select_id = [0, 1, 1] >>> print input_array [[ 3 14]  [12  5]  [75 50]]  >>> output_array = input_array[  range( input_array.shape[0] ), select_id ] >>> print output_array [ 3  5 50]

you can choose given array using numpy.choose constructs array index array (in case select_id) , set of arrays (in case input_array) choose from. may first need transpose input_array match dimensions. following shows small example:

in [101]: input_array out[101]:  array([[ 3, 14],        [12,  5],        [75, 50]])  in [102]: input_array.shape out[102]: (3, 2)  in [103]: select_id out[103]: [0, 1, 1]  in [104]: output_array = np.choose(select_id, input_array.t)  in [105]: output_array out[105]: array([ 3,  5, 50])

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