Roll on tick about pglive HOT 4 OPEN

Actually now that I look at this closer, there might be some kind of division error somewhere causing this. With a sampling rate of 300 Hz and a connector width of 1000 points, everything works fine. When I change the sampling rate to 301 Hz, it stops working properly. If I force the slice width to be an integer, it works again.

Hopefully this isn't an issue with my code, but that's also very possible

from pglive.

Thanks for your input again. I briefly tested it. There is definetly something wrong. Most likely LiveAxis display region calculation. I set sampling rate to 401 and plot rate to 1Hz. I didn't see any line. Then I zoomed out and saw plot progressing correctly at 1Hz, but autorange was not properly working. Therefore there was nothing plotted. Right now, I'm quite busy with othert stuff. But hopefully will find some time soon to debug and fix this issue.

from pglive.

Roll on tick seems to be an issue for me as well.
I can see a single vertical line that appears top be massively zoomed out (this includes the X axis timeline as well).
It takes a lot of zooming in to see the trace as it is sampled.

from pglive.

Hello,

I hope this issue's topic suits my question. I would kindly request clarification on the functionality of the 'roll_on_tick' parameter. I'm currently working on developing a Python GUI for multi-channel live plotting (displaying multiple line charts) of real-time acquired data.

For these charts, I'm able to set the following parameters:

• Bin width: a value in microseconds representing the time step between the recording/acquisition of one data point/value and another.
• Update rate: the frequency in hertz for plotting the chart.
• Time span: the temporal window in seconds (x-axis range) that I wish to view at a time. For example, setting a 5-second time span, I aim to view ranges such as 0s-5s, then 5s-10s, and so forth.

I'm encountering issues while setting this temporal window on the chart, particularly when manipulating the 'roll_on_tick' parameter, resulting in inconsistent outcomes. This might be due to my limited experience in PyQt and live plotting.

Hence, I have a theoretical rather than technical question: What exactly does 'roll_on_tick' entail? How is this parameter correlated with others such as 'update_rate,' 'bin_width,' and 'time_span'?

For a more detailed overview of the problem I'm facing, I've elaborated on Stack Overflow at: link.

Thank you very much.

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