WPF数据可视化-瀑布图

2023-06-05,,

实现方式一:

数据(Point[])根据索引沿X轴使用虚拟画布进行绘制,每个数据绘制大小为1px * 1px;最终绘制出的宽度等于数据的总长度。标记并存储当前绘制的图为PreviousBitmap; 继续置顶绘制第二组数据,第二组数据绘制完后,将标记的PreviousBitmap作为Image在Y轴距离顶部距离为1px的地方用DrawingContext.DrawImage()方式绘制,以此类推。核心代码如下:

private void DoAddDataArray(Point[] arrPoints)
{
this.Dispatcher.Invoke(DispatcherPriority.Normal, new Action(() =>
{
double dPixelWidth = Pixel;
double dContainerWidth = this.VbxContainer.ActualWidth;
double dContainerHeight = this.VbxContainer.ActualHeight;
double dPixelHeight = Pixel/2d;
double dCellHeight = 1;
double dCellWidth = 1; DrawingVisual drawingVisual = new DrawingVisual();
DrawingContext drawingContext = drawingVisual.RenderOpen();
drawingContext.DrawRectangle(new SolidColorBrush(Colors.Blue),
new Pen(), new Rect(0, 0, dPixelWidth, dCellHeight)); // 绘制新数据 for (int i = 0; i < arrPoints.Length; i++)
{
double dCellX = Math.Round(((arrPoints[i].X - MinAxisX) / (MaxAxisX - MinAxisX)) * Pixel);
double dY = arrPoints[i].Y;
Color oColor = this.GetColor(dY);
//drawingContext.DrawRectangle(new SolidColorBrush(oColor),
// new Pen(), new Rect(dCellX, 0, dCellWidth, dCellHeight));
LinearGradientBrush lineBrush = new LinearGradientBrush();
lineBrush.GradientStops.Add(new GradientStop(Colors.Transparent, 0));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.25));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.5));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.75));
lineBrush.GradientStops.Add(new GradientStop(Colors.Transparent, 1));
drawingContext.DrawRectangle(lineBrush, new Pen(), new Rect(dCellX-1, 0, dCellWidth + 2, dCellHeight));
} // 绘制历史数据
if (this.PreviousBitmap != null)
drawingContext.DrawImage(this.PreviousBitmap, new Rect(0, dCellHeight, dPixelWidth, dPixelHeight));
drawingContext.Close(); // 生成图像处理
RenderTargetBitmap rtbCurrent = new RenderTargetBitmap((int)dPixelWidth,
(int)dPixelHeight, 96, 96, PixelFormats.Pbgra32);
rtbCurrent.Render(drawingVisual); this.PreviousBitmap = rtbCurrent; // 当前绘制的存为历史,下次绘制时直接调用
this.ImgMain.Source = rtbCurrent; // 显示绘制的图像
}));
}

运行效果

实现方式二:

将数据(Point[])根据索引沿X轴使用虚拟画布进行绘制,每个数据绘制大小为1px * 1px;最终绘制出的宽度等于数据的总长度。创建一个Rectangle,将绘制的图赋值给Rectangle.Fill属性,将绘制过程中不断创建的Rectangle插入控件Stackpanel的首位。核心代码如下:

private void DoAddDataArray(Point[] arrPoints)
{
this.Dispatcher.Invoke(DispatcherPriority.Normal, new Action(() =>
{
double dPixelWidth = Pixel;
double dContainerWidth = this.VbxContainer.ActualWidth;
double dContainerHeight = this.VbxContainer.ActualHeight;
double dPixelHeight = Pixel / 2d; DrawingVisual drawingVisual = new DrawingVisual();
DrawingContext drawingContext = drawingVisual.RenderOpen();
drawingContext.DrawRectangle(new SolidColorBrush(Colors.Blue),
new Pen(), new Rect(, , dPixelWidth, )); // 绘制新数据
double dCellHeight = ;
double dCellWidth = ;
for (int i = ; i < arrPoints.Length; i++)
{
double dCellX = Math.Round(((arrPoints[i].X - MinAxisX) / (MaxAxisX - MinAxisX)) * Pixel);
double dY = arrPoints[i].Y;
Color oColor = this.GetColor(dY);
//drawingContext.DrawRectangle(new SolidColorBrush(oColor),
// new Pen(), new Rect(dCellX, 0, dCellWidth, dCellHeight));
LinearGradientBrush lineBrush = new LinearGradientBrush();
lineBrush.GradientStops.Add(new GradientStop(Colors.Transparent, ));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.25));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.5));
lineBrush.GradientStops.Add(new GradientStop(oColor, 0.75));
lineBrush.GradientStops.Add(new GradientStop(Colors.Transparent, ));
drawingContext.DrawRectangle(lineBrush, new Pen(), new Rect(dCellX - 0.5, , dCellWidth + , dCellHeight));
}
drawingContext.Close(); // 生成图像处理
RenderTargetBitmap rtbCurrent = new RenderTargetBitmap((int)dPixelWidth, (int), , , PixelFormats.Pbgra32);
rtbCurrent.Render(drawingVisual); Rectangle rect = new Rectangle();
rect.Width = Pixel;
rect.Height = ;
rect.Fill = new ImageBrush(rtbCurrent);
// SpContainers ---- Stackpanel
this.SpContainers.Children.Insert(, rect);
if (this.SpContainers.Children.Count > )
this.SpContainers.Children.RemoveAt();
}));
}

运行效果:

相对而言,方式二由于不断插入新的Rectangle。下移效果为控件位置变化所呈现,不像方式一是一张完整图,故画质欠缺。

性能和测试: 

采用Timer生成随机数据进行测试。10毫秒1组,每组1000个数据点。 相当于每秒绘制10万个点。

测试时在Release模式下,开启多个子模块,性能勉强能接受。

环境:

语言: C#

工程:WPF

工具:Visual Studio 2017

系统:Windows

第三方插件:无

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《WPF数据可视化-瀑布图.doc》

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