I have implemented several xamdatacharts throughout my app. A new requirement to run my app on a tablet was given to me and basically the xamdatachart make this nearly impossible. I have 2 issues that have plagued me since I wrote the app in v11.1 then 12.2.
I have recently upgraded to 14.1 and have not seen any performance boost in the XamDataChart.
1) I have a chart using a LineSeries and a CategoryXAxis. The source is an observable collection of (DateTime, float). I attempt to simulate an EEG graph by updating that collection by index (so no FIFO). Collection is 4000 points for 8 seconds worth of data. I update the collection every 50ms so I am updating ~25 points of data plus 250 blank points to simulate a moving gap about 20 times a second. I have even used an custom implementation of an ObservableCollection that turns off notifications when I start the update and then sends a reset after all 275 points are updated vs just updating as they come in. The cpu was no different. Point is that this graph is the biggest cpu hog and on the tablet causes the UI to eventually become unresponsive. I am hoping that someone can tell me if there is a more efficient way to create an EEG simulated graph using any of the Infragistics controls?
2) I have another chart that can have N LineSeries but in this case they all use the CategoryDateTimeXAxis. Each series will have points coming in at no faster than 1/second. However, this graph show all the history. What I find is after several hours of running each point added takes longer and longer. I believe this is because the CategoryDateTimeXAxis sorts the data on every insert even though I know it is already sorted. Is there anything in the new version that I can do to optimize that xaxis type or a new way to use it to make this more efficient? I have had to limit each series to only hold 28800 (8 hours) points as beyond that the entire UI gets noticeably choppy each second. I have posted this question before about 18 months ago as a support ticket and the suggestion was to use a scatterline series instead but this had a similar jittery effect, slightly reduced, but happened all the time even when the series only had a few points in it (plus the implementation was much uglier).
Any new suggestions to optimize either of these scenarios?
Hi Mike,
Most of your performance for #1 is probably going to measure and arrange calls for the geometry needed to render a 4000 point LineSeries. Even if you only update a small subset of the data points, that update is going to trigger the entire series to be re-rendered. I'm looking into this specific requirement to see if there is a better way to do it.
For #2, is a CategoryDateTimeXAxis necessary here? If your data points have a fixed interval between them then a CategoryXAxis might be a better choice. It doesn't presort the data before rendering like the CategoryDateTimeXAxis so it should perform better. I'll take a look at your previous support tickets to see if I can find the one dealing with this.
I will get back to you shortly with more information.
Thanks Rob.
I kept using the CategoryDateTimeXAxis because I cannot guarantee all the points will be equally spaced. It just made my life a little easier if it took care of the spacing for me. I just wish I could tell it to not sort as an optional optimization.
I look forward to anything I can do to optimize the EEG chart as well. I have a C++ guy I work with that is giving me a lot of flack about .NET graphing performance... :)