I'm trying to plot roughly a million data points (x,y) (floats) into a xamDataChart. When using a CategoryXAxis and LineSeries, the performance is excellent and zooming is smooth.
When using a NumericXAxis and a ScatterLineSeries, I am experiencing a significant loss in performance. This can be reproduced by adapting the "BindingHighVolumeData" sample.
Also, I am experiencing rendering artifacts when zooming deep into the graph:
Thes issues do not occur when using a CategoryXAxis.
I am currently evaluating to buy Infragistics DV for Silverlight for its stellar performance. However, I do need a precise x,y plot. As far as I understand CategoryXAxis will align my data points with a constant x spacing, correct?
Why is the performance of ScatterLineSeries so much worse? Is there a recommended way to draw a high performance xy line plot?
Hi Graham, thanks for your fast feedback. I have attached a sample repro for the artifacts encountered when using a NumericXAxis. Let me know if you can reproduce the issue. The version I am using was downloaded just yesterday, so I assume it's the latest.
CategoryXAxis actually is an option in most scenarios, however it results in a loss of visual accuracy in my case. CategoryDateTimeXAxis is a decent choice, however not all data is suited to be transformed into a DateTime, so I'm a bit concerned here.
I do have floating point x/y coordinates (think of a simple waveform) that are guaranteed to be in correct order. Transforming all x values into a DateTime will result in a precision loss and is slow and cumbersome to do.
Your feature suggestion (OrderedNumericXAxis) is exactly what I would wish the control offered out of the box. Is it likely this will be implemented? I think its a fairly common scenario.
Hi,
There are unfortunately far less contraints on pure XY data rather than ordered category data that cannot regress to earlier x values from higher x values. We are always looking to make the scatter cases better, but because the data is less constrained it will always be far less efficient than using a category series.
So, if your data only ever has an increasing x value, you are far better off using a series with a category axis than a numeric x axis.
The CategoryXAxis will align your data points with a constant x spacing, but the CategoryDateTimeXAxis, will space them based on the date difference between the points, rather than spacing them all equally. This is a slight relaxation of constraints of the CategoryXAxis, so the CategoryDateTimeXAxis will likewise never perform as well as the CategoryXAxis, but its much closer in performance compared to NumericXAxis based series. CategoryDateTimeXAxis also doesn't assume your data is pre sorted by date, so there is a bit of a hit there, especially if you are updating the data with high frequency.
Nevertheless, you are much better off using CategoryDateTimeXAxis or CategoryXAxis if those match the requirements of your data. The complete lack of assumptions we can make about pure XY data make it much harder to retain interactivity when large volumes are thrown at the series.
That being said, if you can provide a sample with your scenario I can examine whether there is anything to be done to improve the x-y plot performance for your case. It may be useful if we were to add a mode to the scatter plots where the user could specify that the data was constrained to only increase in X, in which case the axis could behave more like CategoryDateTimeXAxis, but not necessarily be related to dates. Would that sound like a useful feature request?
I haven't seen that graphical distortion with scatter line before. Do you have a sample that reproduces it? Which version are you evaluating? As an additional note, there are many performance improvements in 11.1, so if you are running a previous trial version, you may want to grab the 11.1 version.
There was a performance fix that should be in the most recent version of 11.1 that should help scatter line performance, as the chart was doing too much work even though the markers were turned off. I don't believe the trial version has this fix though. If you can provide a sample of the poor performance I can tell you how it performs with the latest version though.
Hope this helps! Let me know if you have any other questions.
-Graham