To install spyder I wonder if Anaconda is a possibility. It also installs a lot of packages that your pupils/peers might be using but that you might not anticipate.
On a semi-related note, a recent change to the repr broke a lot of downstream tests. Htlm and latex reprs are probably easier to experiment with on that sense. That said. That might just be a doctest issue and not a numpy issue. On Tue, Nov 6, 2018 at 5:18 AM Foad Sojoodi Farimani <f.s.farim...@gmail.com> wrote: > In between your lines: > > On Tue, Nov 6, 2018 at 11:07 AM Mark Harfouche <mark.harfou...@gmail.com> > wrote: > >> Foad, >> In response to: >> >> Thanks but I know it is very bad: >> >> - it does not work properly for floats >> - it only works for 1D and 2D >> - there can be some recursive function I believe. >> >> I think this is the awesome part about being able to write 10 lines of >> code that are specified to representing exactly 1 thing. >> >> Other than that, yeah, encouraging people to transition from matlab is >> challenging. Matlab is definitely good at doing matrix operations. Python3 >> somewhat helps in that regard. >> >> I'm super glad you are bringing usability issues up and working toward >> solving them. >> >> Maybe you can describe the interface for python you find practical to >> introduce to newcomers so as to motivate the discussion? >> > > I have been thinking about Spyder but it has a lot of issues with the > standard python distribution and pip. Jupyterlab would be awesome except > some Jupyter Notebook extensions are missing. For example variable > inspector, RISE for slides, Hinterland, ... For the moment Jupyter Notebook > is the most reliable/complete I could find. > > F. > > >> >> Mark >> >> >> On Tue, Nov 6, 2018 at 3:57 AM Foad Sojoodi Farimani < >> f.s.farim...@gmail.com> wrote: >> >>> 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 >>>> >>> _______________________________________________ >>> 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
