I don't know the answer, but I just want to say you made a pretty nice
application there.

Thanks & Regards
Anh Tran


On Sun, 7 Jun 2020 at 12:27, Nathan Jessurun <[email protected]> wrote:

> In other words, is there any way to either
>
>    1. Make sigClicked somehow give the data of adjacent points or
>    2. Make sigPointsClicked fire when clicking an adjacent line segment?
>    3. (Or some alternative I'm not thinking of)
>
> Being new to Google groups posting I thought I could edit my original.
> Since I can't find a way, here is some sample code:
> import pyqtgraph as pg
> import numpy as np
>
> tri = np.array([[0,0], [0,5], [5,5], [0,0]])
> nans = np.array([[np.nan, np.nan]])
> tris = []
> datas = []
> for ii in np.arange(0, 16, 5):
>   tris.append(tri + ii)
>   tris.append(nans)
>   datas.extend([ii]*5) # One data for each point
> tris = np.vstack(tris)
> datas = np.array(datas)
>
> def ptsClicked(item, pts):
>   print(f'ID {pts[0].data()} Clicked!')
>
> app = pg.mkQApp()
> triItem = pg.PlotDataItem(x=tris[:,0], y=tris[:,1], data=datas, symbol='o'
> )
> triItem.sigPointsClicked.connect(ptsClicked)
> w = pg.PlotWindow()
> w.plotItem.addItem(triItem)
> w.show()
> app.exec()
>
>
>
> On Saturday, June 6, 2020 at 9:44:36 PM UTC-4, Nathan Jessurun wrote:
>>
>> Hi there,
>>
>> My overall goal is to have several clickable regions overlaid on an
>> image, and if the plot boundary of any region is clicked I get a signal
>> with the ID of that region. Something like this:
>> I tried making each boundary a separate plot data item, but I have 1000s
>> of bounds that update frequently so it lagged a ton. So, I just used
>> connect='finite' within the same plot item to make it much faster.
>>
>> However, now I can't give a separate ID to each boundary. I have to make
>> the vertices stand out, and connect to sigclicked(...pts) instead:
>>
>> This works, but I'd love to be able to click anywhere on one of the line
>> segments for the same effect. Is there any way to make this happen?
>>
>> Relevant code is just a PlotDataItem on a plot widget.
>>
>> Thanks!
>>
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