用dotnetCHARTING 制作柱形图,折线图和圆饼图

最近由于项目需要,要做几个统计图. 网上找了找发现了ZedGraph控件和dotnetCHARTIN控件.

ZedGraph: 支持winform和webform。支持可视化设计,并且最主要他是开源的.

dotnetCHARTIN:需要到网上找破解版的 下载地址:https://files.cnblogs.com/xiaogangqq123/dotnetcharting.rar

　　网上说dotnetCHARTIN这个控件比较耗费性能.并且支持二维和三维.ZedGraph控件开源.扩展性强,但是只支持二维图形.性能较好.

由于项目需要三维的 所以选择了dotnetCHARTIN这个.通过几次反复测试.感觉dotnetCHARTIN性能还行.当然是在理想情况下.

由于网上dotnetCHARTIN资料较少.看了下帮助文档..自己做了个Demo分别对10条线一万条数据和10条10万条数据做了个初步测试.

1万条:生成图片速度大概在2秒到5秒;

10万条:速度估计在5秒-10秒之间 ，

大体是这个样子.贴出代码:

public class Charting
    {
        #region 共有变量

        /// <summary>
        /// 图片存放路径
        /// </summary>
        public string PhaysicalImagePath { get; set; }

        /// <summary>
        /// 标题
        /// </summary>
        public string Title { get; set; }

        /// <summary>
        /// X轴名称
        /// </summary>
        public string XName { get; set; }

        /// <summary>
        /// Y轴名称
        /// </summary>
        public string YName { get; set; }

        /// <summary>
        /// 图例名称
        /// </summary>
        public string SeriseName { get; set; }

        /// <summary>
        /// 宽度
        /// </summary>
        public int SeriseWidth { get; set; }

        /// <summary>
        /// 高度
        /// </summary>
        public int SeriseHeight { get; set; }

        /// <summary>
        /// 数据源
        /// </summary>
        public DataTable DataSoure { get; set; }

        public bool IsUse3D { get; set; }

        public CharType type { get; set; }
        #endregion

        public Charting() { }

        /// <summary>
        /// 柱形图
        /// </summary>
        /// <returns></returns>
        public void CreateCombo(dotnetCHARTING.Chart Chart1)
        {
            Chart1.Title = Title;
            Chart1.XAxis.Label.Text = XName;
            Chart1.YAxis.Label.Text = this.YName;
            Chart1.TempDirectory = this.PhaysicalImagePath;
            Chart1.Width = this.SeriseWidth;
            Chart1.Height = this.SeriseHeight;
            Chart1.Type = ChartType.Combo;
          
            Chart1.Series.Type = SeriesType.Cylinder;
            Chart1.Series.Name = this.SeriseName;
            Chart1.Series.Data = this.DataSoure;
            Chart1.SeriesCollection.Add();
            Chart1.DefaultSeries.DefaultElement.ShowValue = true;
            Chart1.ShadingEffect = true;
            Chart1.Use3D = IsUse3D;
            Chart1.Series.DefaultElement.ShowValue = true;
        }

        /// <summary>
        /// 饼图
        /// </summary>
        /// <returns></returns>
        public void CreatePie(dotnetCHARTING.Chart Chart1)
        {
            Chart1.Title = Title;
            Chart1.XAxis.Label.Text = XName;
            Chart1.YAxis.Label.Text = this.YName;
            Chart1.TempDirectory = this.PhaysicalImagePath;
            Chart1.Width = this.SeriseWidth;
            Chart1.Height = this.SeriseHeight;
            Chart1.Type = ChartType.Pie;
            Chart1.Series.Type = SeriesType.Cylinder;
            Chart1.Series.Name = this.SeriseName;
            Chart1.ShadingEffect = true;
            Chart1.Use3D = IsUse3D;
            Chart1.DefaultSeries.DefaultElement.Transparency = 20;
            Chart1.DefaultSeries.DefaultElement.ShowValue = true;
            Chart1.PieLabelMode = PieLabelMode.Outside;
            Chart1.SeriesCollection.Add(getArrayData());
            Chart1.Series.DefaultElement.ShowValue = true;
        }

        private SeriesCollection getArrayData()
        {
            SeriesCollection SC = new SeriesCollection();
            DataTable dt = this.DataSoure;
            for (int i = 0; i < dt.Rows.Count; i++)
            {
                Series s = new Series();
                s.Name = dt.Rows[i][0].ToString();

                Element e = new Element();

                // 每元素的名称
                e.Name = dt.Rows[i][0].ToString();

                // 每元素的大小数值
                e.YValue = Convert.ToDouble(dt.Rows[i][1].ToString());

                s.Elements.Add(e);
                SC.Add(s);
            }
            return SC;

        }

        /// <summary>
        /// 曲线图
        /// </summary>
        /// <returns></returns>
        public void CreateLine(dotnetCHARTING.Chart Chart1)
        {
            Chart1.Title = Title;
            Chart1.XAxis.Label.Text = XName;
            Chart1.YAxis.Label.Text = this.YName;
            Chart1.TempDirectory = this.PhaysicalImagePath;
            Chart1.Width = this.SeriseWidth;
            Chart1.Height = this.SeriseHeight;

            Chart1.Type = ChartType.Combo;
            //此处一定要用DefaultSeries.Type = SeriesType.Line 否则没效果
            Chart1.DefaultSeries.Type = SeriesType.Line;
            Chart1.Series.Name = this.SeriseName;
            Chart1.Series.Data = this.DataSoure;
            
            Chart1.SeriesCollection.Add();

            Chart1.DefaultSeries.DefaultElement.ShowValue = true;
            Chart1.ShadingEffect = false;
            Chart1.Use3D = IsUse3D;
            Chart1.Series.DefaultElement.ShowValue = true;
        }
    }

前台调用Code:

       Charting  ch = new Charting();
        ch.Title = "统计";
        ch.XName = "国家";
        ch.YName = "数量(亿)";
        ch.SeriseName = "Num";
        ch.SeriseHeight = 500;
        ch.SeriseWidth = 1240;
        ch.PhaysicalImagePath = "temp";
        ch.DataSoure = GetData.GetTablePie();
        ch.IsUse3D = true;
        //创建图形，Chart1页面dotnetChartin的控件ID
        ch.CreatePie(Chart1);

如果有多条数据(也就是有多条线),比如柱形图和折线图 可以多次调用CreateLine(),CreateCombo()并制定不用的数据源.和SeriseName

效果图:

折线图:

柱状图:

圆饼图:

都是一些测试数据..大家看起来图形比较乱.主要我用的数据量很大.这个是10万多条吧..实际上统计用不了这么多.

我也是为了测试下这么数据生成图片的性能如何.

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