On Mon, Feb 27, 2012 at 2:55 PM, Skipper Seabold <jsseab...@gmail.com> wrote: > I am surprised by this (though maybe I shouldn't be?) It's always faster to > use list comprehension to unpack lists of tuples than np.array/asarray? > > [~/] > [1]: X = [tuple(np.random.randint(10,size=2)) for _ in > range(100)] > > [~/] > [2]: timeit np.array([x1 for _,x1 in > X]) > 10000 loops, best of 3: 26.4 us per loop > > [~/] > [3]: timeit > np.array(X) > 1000 loops, best of 3: 378 us per loop > > [~/] > [4]: timeit x1, x2 = np.array([x for _,x in X]), np.array([y for y,_ in > X]) > 10000 loops, best of 3: 53.4 us per loop > > [~/] > [5]: timeit x1, x2 = > np.array(X).T > 1000 loops, best of 3: 384 us per loop
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