Cleaning Memory Resources Correctly 101

By Nikolai Arsenov
Software Developer & Quality Control Specialist
For cleaning memory resources efficiently, application should dispose existing objects before clearing related collection.
LightningChart provides predefined collections, e.g. XAxes, YAxes, PaletteSteps, etc. in WinForms and WPF Non-bindable platforms. In WPF Semi-bindable and Bindable platforms they should be created manually (e.g. ViewXY.CreateDefaultXAxes()). Moreover, a user’s application can have created collections of series, annotations, markers, cursors, etc.
If a user needs to recreate new specific collection for the chart without modifying the existing one, the old collection should be removed properly to use memory resources efficiently.
The following lines clean y-axes collection. However, the resources inside the application have not been freed, and they still reserve memory.
chart.ViewXY.YAxes.Clear();
Instead of using .Clear() method for collection, call .Dispose() for each item and clean the collection. Dispose method releases any resources from memory for clean-up:
foreach (AxisY yAxis in chart.ViewXY.YAxes)
yAxis.Dispose();
chart.ViewXY.YAxes.Clear();
// Create new Y-axes collection
for (int axisY = 0; axisY < axisYCounter; axisY++)
{
// Create your axes here
}
In our Demo applications, we have an auxiliary method to make proper resource cleaning:
ExampleUtils.DisposeAllAndClear(chart.ViewXY.YAxes);
Fast Line Charts
Fast line charts speed and quality of rendering comparison of .NET framework control versus LightningChart .NET charting control
JavaScript Gauge Chart
Written by a human | Updated on April 14th, 2025JavaScript Gauge ChartIn this article, we'll create a JavaScript gauge chart using LightningChart JS. The implementation of the project will be similar to other articles, such as the donut chart or the pie chart. I...
JavaScript Radar Chart
Written by a human | Updated on April 14th, 2025JavaScript Spider ChartData analysis has become an integral part of decision-making processes in various industries, from finance to healthcare to marketing. The amount of data being collected is increasing. This leads...
