Since posting earlier, I've tried float("nan"), float("inf") and np.inf and
they all behave exactly the same. I'll see if I can cut my application's
code down to something I can share.
I did manage to "stop" the graph while the glitch was displayed (and by
"stop" I mean that the application was running but I stopped making further
calls to setData). Before zooming the graph I used the context-menu to
export data to CSV and I could clearly see that there was a period exported
as "inf" where the line was being displayed.
On Friday, 30 September 2022 at 16:02:50 UTC+1 [email protected] wrote:
> Hmm, that certainly should not be happening, not sure quite why things
> would be going like that. If you can, I would try slowing down the update
> rate of the plot, to easily catch one of those instances and post some code
> here if you can for us to try and replicate.
>
> Another suggestion would be to set the invalid points to numpy.nan instead
> of float("inf") and see if that gets better behavior; I think that was the
> value we were originally looking for.
>
> On Fri, Sep 30, 2022 at 7:27 AM AB <[email protected]> wrote:
>
>> I am trying to display some data in a line graph - there are 1024 points,
>> updating ~40 times/second. Some of the points are invalid (set to
>> float("inf") ) and are supposed to cause a break in the line if I
>> understand the default behaviour of the "connect" parameter correctly.
>> However, I am periodically seeing that there is a straight line joining the
>> valid points either side of the invalid period.
>>
>> I can stop updating the graph and catch this happening - as soon as I use
>> the mouse zoom functionality to change the scale of the graph in this state
>> the erroneous line vanishes, and the graph is drawn with breaks in the line
>> as I expect that it should.
>>
>> Can anyone suggest why the erroneous lines are appearing, and how I can
>> ensure they don't appear?
>>
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