Hi Sheehan,
Thanks - I did see your post, and that is how I am currently using it. But
I'd prefer to do animations in the notebook if at all possible.
I'm happy to switch to Gadfly for 2D; what do you use for 3D plotting
though?
Christoph
On Thursday, 27 November 2014 17:18:31 UTC, Sheehan Olver wrote:
>
>
> Hi Christoph! Glad to hear that you are jumping on the Julia bandwagon.
>
>
> In principle it should work with PyPlot, since @manipulate works with
> PyPlot, though some setup involving figure() is probably necessary, and I
> couldn’t figure it out.
>
> PyPlot is a lot slower than Gadfly (not counting compile time!!) so I
> would recommend using Gadfly for animation.
>
> If you look at my previous posts, at some point I did figure out a way to
> do animation in PyPlot using pygui(true). It was a bit complicated and
> also slow (the plotting was most of the computation time).
>
>
> Sheehan
>
>
>
>
>
>
> On 27 Nov 2014, at 10:22 am, Christoph Ortner <[email protected]
> <javascript:>> wrote:
>
> 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]>
>> 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
>>>>
>>>>
>>>>
>
