figured out for some reason if you call candlestickitem once with all the data it makes the plot lag alot, but if you call it multiple times and only plot 500 at once it doesnt lag the plot.
On Monday, February 4, 2019 at 1:03:28 AM UTC, Patrick wrote: > > Hi, > > Why is it slow? I would expect it to be able to handle thousand(s?) of > data points before becoming too laggy. If you have many thousands of data > points and are trying to "zoom out" so they are all trying to be displayed > at once, then you may need to cull/resample your data. Eg, if your x-axis > is time, you should plot yearly/monthly/hourly min/mean/max values as > appropriate, depending on zoom level, so the plot doesn't become too > cluttered. > > Patrick > > > On Monday, 4 February 2019 07:24:23 UTC+10:30, Szilard Perenyi wrote: >> >> is there anyway to increase perfomance for large candlestick charts? >> > -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/132b1089-76d9-4028-a335-86b3fe3c43c2%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
