I would suggest %matplotlib notebook
It will still have to a nice png, but you get an interactive figure when it is live. I agree that making the example code Python3 is critical. Tom On Thu, Oct 1, 2015 at 8:05 PM Jaime Fernández del Río <jaime.f...@gmail.com> wrote: > On Thu, Oct 1, 2015 at 11:46 AM, Alex Rogozhnikov < > alex.rogozhni...@yandex.ru> wrote: > >> Hi, I have written some numpy tips and tricks I am using, which may be >> interesting to you. >> This is quite long reading, so I've splitted it into two parts: >> >> http://arogozhnikov.github.io/2015/09/29/NumpyTipsAndTricks1.html > > > The recommendation of inverting a permutation by argsort'ing it, while it > works, is suboptimal, as it takes O(n log(n)) time, and you can do it in > linear time: > > In [14]: import numpy as np > > In [15]: arr = np.random.rand(10) > > In [16]: perm = arr.argsort() > > In [17]: perm > Out[17]: array([5, 0, 9, 4, 2, 8, 6, 7, 1, 3]) > > In [18]: inv_perm = np.empty_like(perm) > > In [19]: inv_perm[perm] = np.arange(len(perm)) > > In [20]: np.all(inv_perm == perm.argsort()) > Out[20]: True > > It does require two lines of code, so for small stuff it is probably good > enough to argsort, but it gave e.g. np.unique a nice boost on larger arrays > when we applied it there. > > Jaime > > >> >> http://arogozhnikov.github.io/2015/09/30/NumpyTipsAndTricks2.html >> >> Comments are welcome, specially if you know any other ways to make this >> code faster (or better). >> >> Regards, >> Alex. >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > > -- > (\__/) > ( O.o) > ( > <) Este es Conejo. Copia a Conejo en tu firma y ayúdale en sus planes > de dominación mundial. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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