On Wednesday, April 3, 2019 at 3:13:43 PM UTC-7, Yagamy Light wrote:
>
>
>
> On Wednesday, 3 April 2019 22:42:15 UTC+3, Samuel Lelievre wrote:
>>
>>
>>
>> Le mercredi 3 avril 2019 17:43:51 UTC+2, Yagamy Light a écrit :
>>>
>>> # Steps to reproduce (in terms of terminal comands:
>>>
>>> $ cat sagemath_test.sage
>>> plot(graphs.HeawoodGraph())
>>> $ sage
>>>
>>> ┌────────────────────────────────────────────────────────────────────┐
>>> │ SageMath version 8.7, Release Date: 2019-03-23
>>> │
>>> │ Using Python 2.7.16. Type "help()" for help.
>>> │
>>>
>>> └────────────────────────────────────────────────────────────────────┘
>>> sage: load("sagemath_test.sage")
>>>
>>> ## Expected
>>>
>>> A PNG viewer gets launched
>>>
>>> ## Actual
>>>
>>> Nothing happens.
>>>
>>> # Additional information
>>>
>>> I fond it as part of this problem
>>> https://ask.sagemath.org/question/46004/evaluate-py-file/ It seems to
>>> stuck in moderation, but basically: I spent some hours trying to figure out
>>> how to get sage to draw a graph in a browser (similar to examples from
>>> https://wiki.sagemath.org/interact/graph_theory), so far to no avail.
>>>
>>
>> Try changing your file to contain this instead:
>>
>> graphs.HeawoodGraph().plot().show()
>>
>
> Thanks for the workaround, I'll try tomorrow!
>
> While on it: as I understand this gonna show the plot in default PNG
> viewer, right? However if I want to code an interactive app, such as any of
> examples at [1], I need sage to open it in a browser, right? How do I
> achieve that?
>
> 1: https://wiki.sagemath.org/interact/graph_theory
>
Sage's "interacts" are available if you run Sage in its notebook interface:
run "sage -n jupyter", and then you can for example paste the following
code into a cell in the notebook:
@interact
def _(graph=['CycleGraph', 'CubeGraph', 'RandomGNP'],
n=selector([1..10],nrows=1), p=selector([10,20,..,100],nrows=1)):
print graph
if graph == 'CycleGraph':
print "n = %s (number of vertices)"%n
G = graphs.CycleGraph(n)
elif graph == 'CubeGraph':
if n > 8:
print "n reduced to 8"
n = 8
print "n = %s (dimension)"%n
G = graphs.CubeGraph(n)
elif graph == 'RandomGNP':
print "n = %s (number of vertices)"%n
print "p = %s%% (edge probability)"%p
G = graphs.RandomGNP(n, p/100.0)
print G.automorphism_group()
show(plot(G))
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