Does this work with PyPlot?
Christoph
On Thursday, 27 November 2014 16:05:25 UTC, Sheehan Olver wrote:
>
> You're right, I had interact as well
>
> Sent from my iPhone
>
> On 27 Nov 2014, at 5:59 am, Cristóvão Duarte Sousa <[email protected]
> <javascript:>> wrote:
>
> That is really nice!
>
> But let me alert that, at least in my case (Julia 3.2), I had to add *using
> Interact* so that the plot is correctly displayed.
>
> Cheers,
> Cristóvão
>
> On Thursday, November 27, 2014 4:59:00 AM UTC, Sheehan Olver wrote:
>>
>> I figured out an approach that works for animation, thanks to Jiahao
>> Chen, using 2 IJulia inputs:
>>
>>
>> # In[1]
>> using ApproxFun,Gadfly,Reactive
>> x=Input(Fun(exp))
>> lift(ApproxFun.plot, x)
>>
>> # In[2]
>> for k=1:10
>> push!(x,Fun(x->cos(k*x)))
>> end
>>
>>
>>
>> On Tuesday, November 4, 2014 2:46:44 AM UTC-6, Sheehan Olver wrote:
>>>
>>>
>>>
>>> I'm wondering whether there's an example of doing animation directly in
>>> IJulia with Gadfly. Where by animation I mean plotting a sequence of
>>> functions, lets say each frame is calculated from the previous frame and
>>> wants to be plotted as soon as calculated.
>>>
>>> Its clearly possible as its possible with Interact.jl: the code below
>>> does work, but is not elegant and seems to run into problems if the
>>> calculation is slow. There is also the extra unneeded slide bar for k. I
>>> can't seem to figure out how to get ride of the @manipulate.
>>>
>>> @manipulate for k=1:1, t_dt=timestamp(fps(30.))
>>> # calculate plot
>>> end
>>>
>>>
>>>
