HI MathiasP,

 I ran your sample application and noted the high percentage of CPU(> 50%)  usage.

 I am going to profile the application.

 Sincerely,

 Matt
 Developer Support Engineer

Is somebody looking into this or not? I'm still having the same problems.

horrible performance with a ScatterLineSeries with 30000 points.

Mike,

Do you have a sample application that replicates the performance issue? If you can provide one I'll see what recommendations I can come up with. Also which exact version of the chart are you running?

-Graham

I am currently using 11.2, the latest service release. I will clean up my sample and post it here

Here is the sample i tested with. with 30,000 samples, it's unusable when trying to interact with it.

I guess a better question would be, where is there a sample where the above 'million data points' is supported with millisecond refreshes.

It seems like Infragistics should have a sample that proves that claim.

Hi,

Does the sample data you have there represent real world data? It looks like you are generating a completely random Y value for each point.

While this type of test data is easy to generate it usually doesn't corellate with actual real world input, and represents a worst case scenario for both the geometry virtualizations in the chart and also in the WPF rasterizer itself.

If you use this code to generate the sample data, which is more of a real world setup where a value has some relation to the value previous to it, you will see that the performance of the chart is much, much better.

var x = 0;
            double curr = 10.0;
            for (int i = 0; i < 30000; i++)
            {
                if (r.NextDouble() < .5)
                {
                    curr += r.NextDouble() * 4.0;
                }
                else
                {
                    curr -= r.NextDouble() * 4.0;
                    if (curr < 0)
                    {
                        curr = 0;
                        curr += r.NextDouble() * 4.0;
                    }
                }
                collection.Add(new NumericSampleObj { TimeOfSample = x + i, Value = curr });
            }

Also, scatter type series represent a worst case scenario in terms of the assumptions we can make about the shape of the line to improve performance as there are no constraints on the data.

You would be much better off using a series with the CategoryXAxis or the CategoryDateTimeXAxis, if possible.