C1Chart：行业数据分析（上）

ResetChart();
//设置金融表是烛柱图组合
            if (radChartGroups.Checked)
            {
                ChartGroup g = c1Chart1.ChartGroups.Group0;
                g.ChartType = C1.Win.C1Chart.Chart2DTypeEnum.Candle;
                g.ChartData.SeriesList[0].LineStyle.Thickness = 2;
                c1Chart1.ChartGroups.Group1.Visible = true;
                c1Chart1.ChartArea.AxisY2.Visible = true;
            }
//设置金融图表是HiLo开闭
            else if (radHiLoOpenClose.Checked)
            {
                c1Chart1.ChartGroups.Group0.ChartType = C1.Win.C1Chart.Chart2DTypeEnum.HiLoOpenClose;
            }
//设置金融图表是烛柱图
            else if (radCandle.Checked)
            {
                ChartGroup g = c1Chart1.ChartGroups.Group0;
                g.ChartType = C1.Win.C1Chart.Chart2DTypeEnum.Candle;
                g.ChartData.SeriesList[0].LineStyle.Thickness = 2;
            }
//设置金融图是HiLo
            else
            {
                c1Chart1.ChartGroups.Group0.ChartType = C1.Win.C1Chart.Chart2DTypeEnum.HiLo;
            }

//create a Histogram in the second chart group using the scatter data
            //and the distance from the marker intersection as data for the histogram.
            ChartGroup cg = c1Chart1.ChartGroups[1];

            //start by adding a Normal (Gaussian) distribution curve.  This is available
            //as a convenient reference to compare the histogram shape.
            NormalCurve nc = cg.Histogram.NormalDisplay;
            nc.FillStyle.Alpha = 64;
            nc.FillStyle.Color1 = Color.Yellow;
            nc.Visible = c1Chart1.ChartGroups[1].Histogram.NormalDisplay.Visible;

            cg.ChartType = Chart2DTypeEnum.Histogram;

            ChartDataSeries cds = cg.ChartData.SeriesList.AddNewSeries();
            cds.FitType = FitTypeEnum.Spline;
            cds.FillStyle.Alpha = 64;
            cds.FillStyle.Color1 = Color.Blue;

            cds.Histogram.IntervalCreationMethod = IntervalMethodEnum.SemiAutomatic;
            cds.Histogram.DisplayType = DisplayTypeEnum.Histogram;
            cds.Histogram.IntervalStart = 0;
            cds.Histogram.IntervalWidth = 10;
            cds.Histogram.IntervalNumber = 10;

            C1.Win.C1Chart.Label lab = c1Chart1.ChartLabels.LabelsCollection.AddNewLabel();
            lab.AttachMethod = AttachMethodEnum.DataCoordinate;
            lab.AttachMethodData.X = 100;
            lab.AttachMethodData.Y = 0;
            lab.AttachMethodData.GroupIndex = 0;
            lab.Offset = 50;
            lab.Name = "overflow";
            lab.Text = "";
            lab.Compass = LabelCompassEnum.South;
            lab.Visible = true;

//get the Target Coordinates
                double xtarget = carea.AxisX.ValueLabels[0].NumericValue;
                double ytarget = carea.AxisY.ValueLabels[0].NumericValue;

                //get the data point coordinates from the chart.
                ChartDataSeries cds = c1Chart1.ChartGroups[0].ChartData.SeriesList[0];
                PointF[] cdata = (PointF[])cds.PointData.CopyDataOut();

                //find the distance from each scatter point to the target point.
                int n = cdata.Length;
                double[] distances = (double[])Array.CreateInstance(typeof(double), n);
                for (int i = 0; i < n; i++)
                {
                    double dx = cdata[i].X - xtarget;
                    double dy = cdata[i].Y - ytarget;
                    distances[i] = Math.Sqrt(dx * dx + dy * dy);
                }

                //add the data to the Histogram chart series in ChartGroup(1).
                cds = c1Chart1.ChartGroups[1].ChartData.SeriesList[0];
                cds.Y.CopyDataIn(distances);

                //report the statistics of the distance data.
                lblStats.Text = "距离统计: " +
                    "  平均值: " + cds.Y.Statistics.Mean.ToString("0.000") +
                    "  中位数: " + cds.Y.Statistics.Median.ToString("0.000") +
                    "  标准偏差: " + cds.Y.Statistics.StdDev.ToString("0.000");

                //set the overflow label.
                int overflow = (int)cds.Histogram.AboveIntervalCount;
                string msg = "";
                if (overflow > 0)
                {
                    msg = "数量 > " + carea.AxisX.Max.ToString() + " = " + overflow.ToString();
                }
                c1Chart1.ChartLabels["overflow"].Text = msg;