Thank you both for the suggestions! I am currently trying the "Replot"
button approach, but ran into some errors, as follows:
using Reactive, Interact
using PyPlot
fun(α, β, γ) = cos(α + sin(β+γ)) #example function
f = figure();
α=slider(1:0.1:3)
β=slider(1:0.1:3)
γ=slider(1:0.1:3)
replot = button("Replot") # Commit your changes
map(display, α, β, γ, replot) # optional
--> `start` has no method matching start(::Slider{Float64})
sampled_coeffs = sampleon(redo, lift(tuple, α, β, γ))
--> redo not defined
withfig(f)
@lift plot(apply(fun, sampled_coeffs))
--> `withfig` has no method matching withfig(::Figure)
On Monday, September 8, 2014 6:10:59 PM UTC+2, Shashi Gowda wrote:
>
> John's suggestion is also a good way to do this. You can sample the
> signals at a specific interval instead of on button clicks:
>
> # At 2 fps, with repeats dropped.
> sampled_coeffs = droprepeats(sampleon(fps(2), lift(tuple, α, β, γ)))
>
> On Mon, Sep 8, 2014 at 9:36 PM, Shashi Gowda <[email protected]
> <javascript:>> wrote:
>
>> Unfortunately, the @manipulate macro can only rerun the expression at
>> every update of any of its input.
>>
>> What you need here is Reactive
>> <http://julialang.org/Reactive.jl/api.html#sample-and-merge>'s
>> `sampleon` function:
>>
>> using Reactive, Interact
>> f = figure();
>>
>> α=slider(1:0.1:3)
>> β=slider(1:0.1:3)
>> γ=slider(1:0.1:3)
>> replot = button("Replot") # Commit your changes
>> map(display, α, β, γ, replot) # optional
>>
>> sampled_coeffs = sampleon(redo, lift(tuple, α, β, γ))
>>
>> withfig(f)
>>
>> @lift plot(apply(fun, sampled_coeffs))
>>
>> IPython doesn't do update on release, Interact, in fact, uses the same
>> widgets. What it does do is have at most 4 updates at any given time in the
>> processing pipeline (any more updates replace the last update in the queue).
>>
>> On Mon, Sep 8, 2014 at 8:45 PM, Andrei Berceanu <[email protected]
>> <javascript:>> wrote:
>>
>>> Another option would be to use drop-down boxes with selectable values or
>>> custom text boxes instead of sliders, at least as a temporary fix. Anyone
>>> knows how I can do that?
>>> By the way, iirc, IPython does have the update-on-release mechanism
>>> implemented in their interactive widget functionality.
>>>
>>> On Monday, September 8, 2014 4:10:05 PM UTC+2, John Myles White wrote:
>>>>
>>>> I suspect the only way to do this is to change Interact so that it
>>>> exposes a minimum time threshold before it registers a state change.
>>>>
>>>> — John
>>>>
>>>> On Sep 8, 2014, at 4:16 AM, Andrei Berceanu <[email protected]>
>>>> wrote:
>>>>
>>>> > I have some code along the lines of
>>>> >
>>>> > f = figure()
>>>> > @manipulate for α=1:0.1:3, β=1:0.1:3, γ=1:0.1:3; withfig(f) do
>>>> > y = fun(α,β,γ)
>>>> > PyPlot.plot(x, y)
>>>> > end
>>>> > end
>>>> >
>>>> > where fun is a *very slow* function to evaluate. Is there any way to
>>>> tell @manipulate to update the resulting plot only after I release the
>>>> sliders? Otherwise what I get is, I release them to the desised values and
>>>> then have to wait ages for all the intermediate plots to be drawn.
>>>> >
>>>> > Tnx!
>>>>
>>>>
>>
>
