本文整理汇总了C#中Histogram.Analyse方法的典型用法代码示例。如果您正苦于以下问题：C# Histogram.Analyse方法的具体用法？C# Histogram.Analyse怎么用？C# Histogram.Analyse使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Histogram的用法示例。
在下文中一共展示了Histogram.Analyse方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: Analyse_TimeSeries
public void Analyse_TimeSeries()
{
var now = DateTime.UtcNow;
var now_plusx = new Func<int, DateTime>(x => now.AddHours(x));
var width = TimeSpan.FromHours(1);
var hist = new Histogram(width.TotalMilliseconds);
var sample = new[] {
new { date = now, name = "a" },
new { date = now_plusx(1), name = "b" },
new { date = now_plusx(1), name = "c" },
new { date = now_plusx(3), name = "d" },
new { date = now_plusx(4), name = "e" },
new { date = now_plusx(6), name = "f" },
new { date = now_plusx(6), name = "g" },
new { date = now_plusx(8), name = "h" }
}.AsQueryable();
var histSample = hist.Analyse(sample, v => v.date);
Assert.That(histSample.Min, Is.EqualTo(now));
Assert.That(histSample.Max, Is.EqualTo(now_plusx(8)));
Assert.That(histSample.Total, Is.EqualTo(sample.Count()));
Assert.That(histSample.Width, Is.EqualTo(width));
Assert.That(histSample.Bins.Count, Is.EqualTo(9));
Assert.That(histSample.Bins[0], Is.EqualTo(1));
Assert.That(histSample.Bins[1], Is.EqualTo(2));
Assert.That(histSample.Bins[6], Is.EqualTo(2));
}示例2: Analyse_SimpleSample
public void Analyse_SimpleSample()
{
var hist = new Histogram(1);
var sample = new[] { 1, 4, 4, 5, 5, 5, 6, 6, 8, 10 }.Select(n => n.OutOf(1)).ToList().AsQueryable();
var histSample = hist.Analyse(sample);
Assert.That(histSample.Min, Is.EqualTo(1));
Assert.That(histSample.Total, Is.EqualTo(sample.Count()));
Assert.That(histSample.Width, Is.EqualTo(1));
Assert.That(histSample.Bins.Count, Is.EqualTo(10));
Assert.That(histSample.Bins[0], Is.EqualTo(1));
Assert.That(histSample.Bins[9], Is.EqualTo(1));
}示例3: Evaluate_RandomSample
public void Evaluate_RandomSample()
{
foreach (var i in Enumerable.Range(0, 10))
{
var hist = new Histogram();
var sample = Enumerable.Range(1, 100).Select(n => Fraction.Random()).ToList().AsQueryable();
var histF = hist.Evaluate(sample);
foreach (var h in hist.Analyse(sample).Bins)
{
Console.WriteLine("{0}={1}", h.Key, h.Value);
}
var p = histF((1).OutOf(32));
}
}