WinForms/Scatter/ScatterViewModel.cs
(完整代码) 1KBusing System;
using System.ComponentModel;
using System.Linq;
using LiveCharts.Geared;
namespace Geared.Winforms.Scatter
{
public class ScatterViewModel
{
public ScatterViewModel()
{
BuildRandomData();
}
public GearedValues<CustomScatterPoint> Values1 { get; set; }
public GearedValues<CustomScatterPoint> Values2 { get; set; }
public void BuildRandomData()
{
var r = new Random();
const int points = 3000;
var v1 = new double[points][];
var v2 = new double[points][];
for (var i = 0; i < points; i++)
{
v1[i] = new [] {NormalDist(500, 300, r), NormalDist(500, 200, r)};
v2[i] = new [] {NormalDist(400, 200, r), NormalDist(350, 280, r)};
}
Values1 = v1.Select(x => new CustomScatterPoint(x[0], x[1]))
.AsGearedValues()
.WithQuality(Quality.Medium);
Values2 = v2.Select(x => new CustomScatterPoint(x[0], x[1]))
.AsGearedValues()
.WithQuality(Quality.Medium);
}
//Based on:
//http://stackoverflow.com/questions/218060/random-gaussian-variables
private static double NormalDist(double average, double variance, Random seed)
{
var u1 = 1.0 - seed.NextDouble();
var u2 = 1.0 - seed.NextDouble();
var randStdNormal = Math.Sqrt(-2.0 * Math.Log(u1)) *Math.Sin(2.0 * Math.PI * u2);
return average + variance * randStdNormal;
}
}
}
24 小时内免费解锁 3 个项目,之后 1 积分/个。 规则说明
AI 解读
登录后可用,每次 10 积分,解读结果公开显示在下面。
还没有人解读过这个文件。
