ScottPlot直方图

于 2025-05-31 09:58:43 发布
阅读量385 收藏 3
点赞数 5
分类专栏： WPF 文章标签： python 人工智能 算法
版权声明：本文为博主原创文章，遵循 CC 4.0 BY 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://blog.youkuaiyun.com/XiaoWang_csdn/article/details/148349477
版权

直方图快速入门

可以从值集合创建直方图。

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinCount(10, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.Counts);

// Size each bar slightly less than the width of a bin
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize * .8;
}

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Number of People");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();

具有固定大小分箱的直方图

可以使用手动定义的 bin 大小创建直方图。

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinSize(2, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.Counts);

// Size each bar slightly less than the width of a bin
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize * .8;
}

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Number of People");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();

填充直方图

填充直方图（条形之间没有可见间隙的直方图）可以通过将条形宽度设置为分箱大小来实现。但是，消除锯齿伪影可能会导致小节之间出现白线。为每个条形禁用抗锯齿以改善此类绘图的外观。

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinSize(1, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.Counts);

// Customize the style of each bar
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize;
    bar.LineWidth = 0;
    bar.FillStyle.AntiAlias = false;
}

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Number of People");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();

直方图条

已创建辅助方法和绘图类型，以简化创建显示直方图计数的条形图的过程。请注意，直方图的更新可能会实时显示，并且绘图将自动更新以显示最新数据。

  

Histograms.cs

// create an empty histogram and display it as a bar plot
var hist = ScottPlot.Statistics.Histogram.WithBinCount(count: 20, minValue: 140, maxValue: 220);
var histPlot = WpfPlot1.Plot.Add.Histogram(hist);
histPlot.BarWidthFraction = 0.8;

// histogram counts are updated automatically as new data is added
double[] newData = SampleData.MaleHeights();
hist.AddRange(newData);

WpfPlot1.Refresh();

概率直方图

直方图可以显示为落入 bin 中的每个值的概率

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinCount(10, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.GetProbability(100));

// Customize the style of each bar
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize * 0.8;
}

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Probability (%)");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();

带概率曲线的直方图

可以为高斯分布样本生成概率曲线。

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinCount(100, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.GetProbability());

// Customize the style of each bar
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize;
    bar.LineWidth = 0;
    bar.FillStyle.AntiAlias = false;
    bar.FillColor = Colors.C0.Lighten(.3);
}

// Plot the probability curve on top the histogram
ScottPlot.Statistics.ProbabilityDensity pd = new(heights);
double[] xs = Generate.Range(heights.Min(), heights.Max(), 1);
double sumBins = hist.Bins.Select(x => pd.GetY(x)).Sum();
double[] ys = pd.GetYs(xs, 1.0 / sumBins);

var curve = WpfPlot1.Plot.Add.ScatterLine(xs, ys);
curve.LineWidth = 2;
curve.LineColor = Colors.Black;
curve.LinePattern = LinePattern.DenselyDashed;

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Probability (%)");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();

具有第二轴概率的直方图

可以将概率曲线放置在辅助轴上，以允许将计数与具有百分比单位的概率一起显示

  

Histograms.cs

// Create a histogram from a collection of values
double[] heights = SampleData.MaleHeights();
var hist = ScottPlot.Statistics.Histogram.WithBinCount(100, heights);

// Display the histogram as a bar plot
var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.Counts);

// Customize the style of each bar
foreach (var bar in barPlot.Bars)
{
    bar.Size = hist.FirstBinSize;
    bar.LineWidth = 0;
    bar.FillStyle.AntiAlias = false;
}

// Add a probability curve to a secondary axis
ScottPlot.Statistics.ProbabilityDensity pd = new(heights);
double[] xs = Generate.Range(heights.Min(), heights.Max(), 1);
double[] ys = pd.GetYs(xs, 100);

var curve = WpfPlot1.Plot.Add.ScatterLine(xs, ys);
curve.Axes.YAxis = WpfPlot1.Plot.Axes.Right;
curve.LineWidth = 2;
curve.LineColor = Colors.Black;
curve.LinePattern = LinePattern.DenselyDashed;

// Customize plot style
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Number of People");
WpfPlot1.Plot.XLabel("Height (cm)");
WpfPlot1.Plot.Axes.Right.Label.Text = "Probability (%)";

WpfPlot1.Refresh();

多个直方图

演示如何使用半透明条形显示重叠数据集中的直方图

  

Histograms.cs

// Create a histogram from a collection of values
double[][] heightsByGroup = { SampleData.MaleHeights(), SampleData.FemaleHeights() };
string[] groupNames = { "Male", "Female" };
Color[] groupColors = { Colors.Blue, Colors.Red };

for (int i = 0; i < 2; i++)
{
    double[] heights = heightsByGroup[i];
    var hist = ScottPlot.Statistics.Histogram.WithBinSize(1, heights);

    // Display the histogram as a bar plot
    var barPlot = WpfPlot1.Plot.Add.Bars(hist.Bins, hist.GetProbability());

    // Customize the style of each bar
    foreach (var bar in barPlot.Bars)
    {
        bar.Size = hist.FirstBinSize;
        bar.LineWidth = 0;
        bar.FillStyle.AntiAlias = false;
        bar.FillColor = groupColors[i].WithAlpha(.2);
    }

    // Plot the probability curve on top the histogram
    ScottPlot.Statistics.ProbabilityDensity pd = new(heights);
    double[] xs = Generate.Range(heights.Min(), heights.Max(), 1);
    double scale = 1.0 / hist.Bins.Select(x => pd.GetY(x)).Sum();
    double[] ys = pd.GetYs(xs, scale);

    var curve = WpfPlot1.Plot.Add.ScatterLine(xs, ys);
    curve.LineWidth = 2;
    curve.LineColor = groupColors[i];
    curve.LinePattern = LinePattern.DenselyDashed;
    curve.LegendText = groupNames[i];
}

// Customize plot style
WpfPlot1.Plot.Legend.Alignment = Alignment.UpperRight;
WpfPlot1.Plot.Axes.Margins(bottom: 0);
WpfPlot1.Plot.YLabel("Probability (%)");
WpfPlot1.Plot.XLabel("Height (cm)");
WpfPlot1.Plot.HideGrid();

WpfPlot1.Refresh();

在 GitHub 上编辑

累积概率直方图

累积概率直方图表示每个 bin 的概率或相对频率的累积总和，提供概率分布的运行总计。它对于评估和比较多个总体的分布特别有用。

  

Histograms.cs

安慰WinForms 公司WPF其他

// Create a histogram from a collection of values
double[][] heightsByGroup = { SampleData.MaleHeights(100), SampleData.FemaleHeights(100) };
string[] groupNames = { "Male", "Female" };
Color[] groupColors = { Colors.Blue, Colors.Red };

for (int i = 0; i < 2; i++)
{
    var hist = ScottPlot.Statistics.Histogram.WithBinSize(1, firstBin: 140, lastBin: 200);
    hist.AddRange(heightsByGroup[i]);

    var curve = WpfPlot1.Plot.Add.ScatterLine(hist.Bins, hist.GetCumulativeProbability(100));
    curve.LineWidth = 1.5f;
    curve.LineColor = groupColors[i];
    curve.LegendText = groupNames[i];
    curve.ConnectStyle = ConnectStyle.StepVertical;
}

// Customize plot style
WpfPlot1.Plot.Legend.Alignment = Alignment.LowerRight;
WpfPlot1.Plot.YLabel("Cumulative Probability (%)");
WpfPlot1.Plot.XLabel("Height (cm)");

WpfPlot1.Refresh();
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包

打赏作者

code_shenbing

你的鼓励将是我创作的最大动力

¥1 ¥2 ¥4 ¥6 ¥10 ¥20
扫码支付：¥1
获取中
扫码支付

您的余额不足，请更换扫码支付或充值

打赏作者

实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值