Layout( title='Double Y Axis Example', yaxis=dict( title='yaxis title' ), yaxis2=dict( title='yaxis2 title', titlefont=dict( color='rgb(148, 103, 189)' ), tickfont=dict( color='rgb(148, 103, 189)' ), overlaying='y', side='right' ) ) } ) ]) if __name__ == '__m...
// 定义x和y轴的数据 double[] x = new double[] { 1, 2, 3, 4, 5 }; double[] y = new double[] { 2, 4, 6, 8, 10 }; // 创建一个折线图 var lineChart = Chart.Line(x, y); // 显示图表 lineChart.Show(); 复制代码 若要向图表中添加多个数据系列,可以使用Chart.Combine方法:...
.WithTraceInfo("Plotly.NET",ShowLegend:true) .WithXAxisStyle<double,double,string>(Title:Plotly.NET.Title.init("x坐标")) .WithYAxisStyle<double,double,string>(Title:Plotly.NET.Title.init("y坐标")) .Show; 3、效果默认浏览器打开如下: 项目地址 https://github.com/plotly/Plotly.NET - EOF -...
这两者的主要区别是，当为时间轴时，不需要指定xAxis 对象的data，时间轴显示的Label 是series对象里面...
.WithXAxisStyle<double, double, string>(Title: Plotly.NET.Title.init("x坐标")) .WithYAxisStyle<double, double, string>(Title: Plotly.NET.Title.init("y坐标")) .Show(); 3、效果 默认浏览器打开如下: 04 项目地址 https://github.com/plotly/Plotly.NET ...
November 1, 2022NASDAQ,Numpy,Pandas,Plotly,Python,Stocks The following example shows you how to draw multiple subplots with different widths and heights. It also tells you the answers to some other questions. How to do technical analysis of a stock? How to draw double y-axis plot? How to ...
{ class Program { static void Main(string[] args) { // 创建数据 double[] x = new double[] { 1, 2, 3, 4, 5 }; double[] y = new double[] { 2, 3, 1, 6, 4 }; // 创建追踪 var trace = Chart.Point(x, y, name: "Custom Layout Scatter Plot"); // 自定义布局 var ...
Layout( title = 'Double Y Axis Example', yaxis = dict( title = 'exp',zeroline=True, showline = True ), yaxis2 = dict( title = 'log', zeroline = True, showline = True, overlaying = 'y', side = 'right' ) ) fig = go.Figure(data=data, layout=layout) iplot(fig) Here, ...
Layout( title = 'Double Y Axis Example', yaxis = dict( title = 'exp',zeroline=True, showline = True ), yaxis2 = dict( title = 'log', zeroline = True, showline = True, overlaying = 'y', side = 'right' ) ) fig = go.Figure(data=data, layout=layout) iplot(fig)Here, ...
var yValues = new double[] { 2, 4, 6, 8, 10 }; // 创建折线图 var trace = new Scatter { x = xValues, y = yValues, Mode = "lines" }; // 设置图表布局 var layout = new Layout { Title = "Simple Line Chart", XAxis = new XAxis { Title = "X Axis" }, ...