[Numpy-discussion] numpy pprint?

Foad Sojoodi Farimani f.s.farimani at gmail.com
Tue Nov 6 03:55:59 EST 2018


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+numpy at 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.farimani at 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+numpy at 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.harfouche at 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.farimani at 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 at python.org
>>>>> https://mail.python.org/mailman/listinfo/numpy-discussion
>>>>>
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