I\'m looking for a one line solution that would help me do the following.
Suppose I have
array = np.array([10, 20, 30, 40, 50])
I\
You can simply use your "index" list directly, as, well, an index array:
>>> arr = np.array([10, 20, 30, 40, 50])
>>> idx = [1, 0, 3, 4, 2]
>>> arr[idx]
array([20, 10, 40, 50, 30])
It tends to be much faster if idx is already an ndarray and not a list, even though it'll work either way:
>>> %timeit arr[idx]
100000 loops, best of 3: 2.11 µs per loop
>>> ai = np.array(idx)
>>> %timeit arr[ai]
1000000 loops, best of 3: 296 ns per loop