在进行图表分析的时候,我们可能需要在一张图表呈现两个或多个样式的图表,以便更加清晰、直观地查看不同的数据大小和变化趋势。在这篇文章中,我将分享C#中如何在一张图表中创建不同的图表类型,其中包括如何在同一个图表添加第二个轴。
下面是一个简单的excel工作表,可以看到系列3数据不同于系列1和2,这样我们就可以绘制不同的图表类型和不同的坐标轴来表示变化的数据:
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" alt="" />
代码片段:
步骤1:新建一个Workbook类的对象并加载要创建图表的excel文件。
Workbook workbook = new Workbook();
workbook.LoadFromFile(@"E:\Visual Studio\Sample\Book1.xlsx");
步骤2:获取工作薄的第一个工作表。
Worksheet sheet=workbook.Worksheets[0];
步骤3:工作表中添加图表,并将A1到D5的数据设置为图表的数据源。
Chart chart = sheet.Charts.Add();
chart.DataRange = sheet.Range["A1:D5"];
chart.SeriesDataFromRange = false;
步骤4:设置图表位置。
chart.LeftColumn = 6;
chart.TopRow = 1;
chart.RightColumn = 12;
chart.BottomRow = 13;
步骤5:系列1和2中运用柱状图,系列3运用折线图。
var cs1 = (ChartSerie)chart.Series[0];
cs1.SerieType = ExcelChartType.ColumnClustered;
var cs2 = (ChartSerie)chart.Series[1];
cs2.SerieType = ExcelChartType.ColumnClustered;
var cs3 = (ChartSerie)chart.Series[2];
cs3.SerieType = ExcelChartType.LineMarkers;
步骤6:图表中再添加一个轴,绘制出系列3的数据.
chart.SecondaryCategoryAxis.IsMaxCross = true;
cs3.UsePrimaryAxis = false;
步骤7:保存并运行文件。
workbook.SaveToFile("result.xlsx");
System.Diagnostics.Process.Start("result.xlsx");
这是混合型图表的效果图:
aaarticlea/png;base64,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" alt="" />
全部代码:
Workbook workbook = new Workbook();
workbook.LoadFromFile(@"E:\Visual Studio\Sample\Book1.xlsx");
Worksheet sheet = workbook.Worksheets[0]; //工作表中添加图表并将其数据设置为图表的数据源
Chart chart = sheet.Charts.Add();
chart.DataRange = sheet.Range["A1:D5"];
chart.SeriesDataFromRange = false; //设置图表位置
chart.LeftColumn = 6;
chart.TopRow = 1;
chart.RightColumn = 12;
chart.BottomRow = 13; //根据系列运用不同的图表类型
var cs1 = (ChartSerie)chart.Series[0];
cs1.SerieType = ExcelChartType.ColumnClustered;
var cs2 = (ChartSerie)chart.Series[1];
cs2.SerieType = ExcelChartType.ColumnClustered;
var cs3 = (ChartSerie)chart.Series[2];
cs3.SerieType = ExcelChartType.LineMarkers; //再添加一个轴
chart.SecondaryCategoryAxis.IsMaxCross = true;
cs3.UsePrimaryAxis = false; //保存并运行文件
workbook.SaveToFile("result.xlsx");
System.Diagnostics.Process.Start("result.xlsx");
在上面的示例中我使用的是Free Spire.XLS,上面工作表的数据你可以根据你的需求改动,步骤比较简单,可以尝试运行一下。而之前我也写过如何在excel表格添加趋势线,误差线等文章,有需要的朋友也可以参考。谢谢浏览!