Wow, this is awesome. Some points though: - not everybody uses IPython/Jupyter having the functionality for conventional consols would also help. something like Sypy's init_printing/init_session which smartly chooses the right representation considering the terminal. - I don't think putting everything in boxes is helping. it is confusing. I would rather having horizontal and vertical square brackets represent each nested array - it would be awesome if in IPython/Jupyter hovering over an element a popup would show the index - one could read the width and height of the terminal and other options I mentioned in reply Mark to show L R U P or combination of these plus some numbers (similar to Pandas .head .tail) methods and then show the rest by unicod 3dot
P.S. I had no idea our university Microsoft services also offers Azure Notebooks awesome :P F. On Tue, Nov 6, 2018 at 9:45 AM Eric Wieser <wieser.eric+nu...@gmail.com> wrote: > Here's how that could look > > > https://numpyintegration-ericwieser.notebooks.azure.com/j/notebooks/pprint.ipynb > > Feel free to play around and see if you can produce something more useful > > > > On Mon, 5 Nov 2018 at 23:28 Foad Sojoodi Farimani <f.s.farim...@gmail.com> > wrote: > >> It is not highking if I asked for it :)) >> for IPython/Jupyter using Markdown/LaTeX would be awesome >> or even better using HTML to add sliders just like Pandas... >> >> F. >> >> On Tue, Nov 6, 2018 at 6:51 AM Eric Wieser <wieser.eric+nu...@gmail.com> >> wrote: >> >>> Hijacking this thread while on the topic of pprint - we might want to >>> look into a table-based `_html_repr_` or `_latex_repr_` for use in ipython >>> - where we can print the full array and let scrollbars replace ellipses. >>> >>> Eric >>> >>> On Mon, 5 Nov 2018 at 21:11 Mark Harfouche <mark.harfou...@gmail.com> >>> wrote: >>> >>>> Foad, >>>> >>>> Visualizing data is definitely a complex field. I definitely feel your >>>> pain. >>>> Printing your data is but one way of visualizing it, and probably only >>>> useful for very small and constrained datasets. >>>> Have you looked into set_printoptions >>>> <https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.set_printoptions.html> >>>> to see how numpy’s existing capabilities might help you with your >>>> visualization? >>>> >>>> The code you showed seems quite good. I wouldn’t worry about >>>> performance when it comes to functions that will seldom be called in tight >>>> loops. >>>> As you’ll learn more about python and numpy, you’ll keep expanding it >>>> to include more use cases. >>>> For many of my projects, I create small submodules for visualization >>>> tailored to the specific needs of the particular project. >>>> I’ll try to incorporate your functions and see how I use them. >>>> >>>> Your original post seems to have some confusion about C Style vs F >>>> Style ordering. I hope that has been resolved. >>>> There is also a lot of good documentation >>>> >>>> https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html#numpy-for-matlab-users-notes >>>> about transitioning from matlab. >>>> >>>> Mark >>>> >>>> On Mon, Nov 5, 2018 at 4:46 PM Foad Sojoodi Farimani < >>>> f.s.farim...@gmail.com> wrote: >>>> >>>>> Hello everyone, >>>>> >>>>> Following this question <https://stackoverflow.com/q/53126305/4999991>, >>>>> I'm convinced that numpy ndarrays are not MATLAB/mathematical >>>>> multidimentional matrices and I should stop expecting them to be. However >>>>> I >>>>> still think it would have a lot of benefit to have a function like sympy's >>>>> pprint to pretty print. something like pandas .head and .tail method plus >>>>> .left .right .UpLeft .UpRight .DownLeft .DownRight methods. when nothing >>>>> mentioned it would show 4 corners and put dots in the middle if the array >>>>> is to big for the terminal. >>>>> >>>>> Best, >>>>> Foad >>>>> _______________________________________________ >>>>> NumPy-Discussion mailing list >>>>> NumPy-Discussion@python.org >>>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>>> >>>> _______________________________________________ >>>> NumPy-Discussion mailing list >>>> NumPy-Discussion@python.org >>>> https://mail.python.org/mailman/listinfo/numpy-discussion >>>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@python.org >>> https://mail.python.org/mailman/listinfo/numpy-discussion >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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