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- Quelle: https://github.com/oxyplot/oxyplot
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Source/Examples/ExampleLibrary/Series/BoxPlotSeriesExamples.cs Normal file
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// --------------------------------------------------------------------------------------------------------------------
// <copyright file="BoxPlotSeriesExamples.cs" company="OxyPlot">
// Copyright (c) 2014 OxyPlot contributors
// </copyright>
// <summary>
// Gets the median.
// </summary>
// --------------------------------------------------------------------------------------------------------------------
namespace ExampleLibrary
{
using System;
using System.Collections.Generic;
using System.Linq;
using OxyPlot;
using OxyPlot.Annotations;
using OxyPlot.Axes;
using OxyPlot.Series;
using OxyPlot.Legends;
[Examples("BoxPlotSeries"), Tags("Series")]
public class BoxPlotSeriesExamples
{
[Example("BoxPlot")]
public static PlotModel BoxPlot()
{
const int boxes = 10;
var model = new PlotModel { Title = string.Format("BoxPlot (n={0})", boxes) };
var l = new Legend
{
LegendPlacement = LegendPlacement.Outside
};
model.Legends.Add(l);
var s1 = new BoxPlotSeries
{
Title = "BoxPlotSeries",
BoxWidth = 0.3
};
var random = new Random(31);
for (var i = 0; i < boxes; i++)
{
double x = i;
var points = 5 + random.Next(15);
var values = new List<double>();
for (var j = 0; j < points; j++)
{
values.Add(random.Next(0, 20));
}
values.Sort();
var median = GetMedian(values);
var mean = values.Average();
int r = values.Count % 2;
double firstQuartil = GetMedian(values.Take((values.Count + r) / 2));
double thirdQuartil = GetMedian(values.Skip((values.Count - r) / 2));
var iqr = thirdQuartil - firstQuartil;
var step = iqr * 1.5;
var upperWhisker = thirdQuartil + step;
upperWhisker = values.Where(v => v <= upperWhisker).Max();
var lowerWhisker = firstQuartil - step;
lowerWhisker = values.Where(v => v >= lowerWhisker).Min();
var outliers = new[] { upperWhisker + random.Next(1, 10), lowerWhisker - random.Next(1, 10) };
s1.Items.Add(new BoxPlotItem(x, lowerWhisker, firstQuartil, median, thirdQuartil, upperWhisker) { Mean = mean, Outliers = outliers });
}
model.Series.Add(s1);
model.Axes.Add(new LinearAxis { Position = AxisPosition.Left });
model.Axes.Add(new LinearAxis { Position = AxisPosition.Bottom, MinimumPadding = 0.1, MaximumPadding = 0.1 });
return model;
}
/// <summary>
/// Gets the median.
/// </summary>
/// <param name="values">The values.</param>
/// <returns></returns>
private static double GetMedian(IEnumerable<double> values)
{
var sortedInterval = new List<double>(values);
sortedInterval.Sort();
var count = sortedInterval.Count;
if (count % 2 == 1)
{
return sortedInterval[(count - 1) / 2];
}
return 0.5 * sortedInterval[count / 2] + 0.5 * sortedInterval[(count / 2) - 1];
}
[Example("BoxPlot (minimal data/ink ratio)")]
public static PlotModel BoxPlot2()
{
var model = BoxPlot();
var boxPlotSeries = (BoxPlotSeries)model.Series[0];
boxPlotSeries.ShowMedianAsDot = true;
boxPlotSeries.OutlierType = MarkerType.Cross;
boxPlotSeries.Fill = OxyColors.Black;
boxPlotSeries.ShowBox = false;
boxPlotSeries.WhiskerWidth = 0;
return model;
}
[Example("BoxPlot (dashed line)")]
public static PlotModel BoxPlot3()
{
var model = BoxPlot();
var boxPlotSeries = (BoxPlotSeries)model.Series[0];
boxPlotSeries.LineStyle = LineStyle.Dash;
return model;
}
[Example("Outlier type = Cross")]
public static PlotModel OutlierTypeCross()
{
var model = BoxPlot();
var boxPlotSeries = (BoxPlotSeries)model.Series[0];
boxPlotSeries.OutlierType = MarkerType.Cross;
return model;
}
[Example("Outlier type = Custom")]
public static PlotModel OutlierTypeCustom()
{
var model = BoxPlot();
var boxPlotSeries = (BoxPlotSeries)model.Series[0];
boxPlotSeries.OutlierType = MarkerType.Custom;
boxPlotSeries.OutlierOutline = new[] { new ScreenPoint(-1, -1), new ScreenPoint(1, 1), new ScreenPoint(-1, 1), new ScreenPoint(1, -1) };
return model;
}
[Example("Michelson-Morley experiment")]
public static PlotModel MichelsonMorleyExperiment()
{
//// http://www.gutenberg.org/files/11753/11753-h/11753-h.htm
//// http://en.wikipedia.org/wiki/Michelson%E2%80%93Morley_experiment
//// http://stat.ethz.ch/R-manual/R-devel/library/datasets/html/morley.html
var model = new PlotModel();
var boxPlotSeries = new BoxPlotSeries
{
Title = "Results",
Stroke = OxyColors.Black,
StrokeThickness = 1,
OutlierSize = 2,
BoxWidth = 0.4
};
// note: approximated data values (not the original values)
boxPlotSeries.Items.Add(new BoxPlotItem(0, 740, 850, 945, 980, 1070) { Outliers = new[] { 650.0 }});
boxPlotSeries.Items.Add(new BoxPlotItem(1, 750, 805, 845, 890, 970) { Outliers = new double[] { }});
boxPlotSeries.Items.Add(new BoxPlotItem(2, 845, 847, 855, 880, 910) { Outliers = new[] { 640.0, 950, 970 }});
boxPlotSeries.Items.Add(new BoxPlotItem(3, 720, 760, 820, 870, 910) { Outliers = new double[] { }});
boxPlotSeries.Items.Add(new BoxPlotItem(4, 730, 805, 807, 870, 950) { Outliers = new double[] { }});
model.Series.Add(boxPlotSeries);
model.Annotations.Add(new LineAnnotation { Type = LineAnnotationType.Horizontal, LineStyle = LineStyle.Solid, Y = 792.458, Text = "true speed" });
var categoryAxis = new CategoryAxis
{
Title = "Experiment No.",
};
categoryAxis.Labels.AddRange(new[] { "1", "2", "3", "4", "5" });
model.Axes.Add(categoryAxis);
model.Axes.Add(new LinearAxis { Position = AxisPosition.Left, Title = "Speed of light (km/s minus 299,000)", MajorStep = 100, MinorStep = 100 });
return model;
}
[Example("BoxPlot (DateTime axis)")]
[DocumentationExample("Series/BoxPlotSeries")]
public static PlotModel BoxPlotSeries_DateTimeAxis()
{
var m = new PlotModel();
var x0 = DateTimeAxis.ToDouble(new DateTime(2013, 05, 04));
m.Axes.Add(new DateTimeAxis
{
Position = AxisPosition.Bottom,
Minimum = x0 - 0.9,
Maximum = x0 + 1.9,
IntervalType = DateTimeIntervalType.Days,
MajorStep = 1,
MinorStep = 1,
StringFormat = "yyyy-MM-dd"
});
var boxPlotSeries = new BoxPlotSeries
{
TrackerFormatString = "X: {1:yyyy-MM-dd}\nUpper Whisker: {2:0.00}\nThird Quartil: {3:0.00}\nMedian: {4:0.00}\nFirst Quartil: {5:0.00}\nLower Whisker: {6:0.00}\nMean: {7:0.00}"
};
boxPlotSeries.Items.Add(new BoxPlotItem(x0, 10, 14, 16, 20, 22) { Mean = 17, Outliers = new[] { 23.5 }});
boxPlotSeries.Items.Add(new BoxPlotItem(x0 + 1, 11, 13, 14, 15, 18) { Outliers = new[] { 23.4 }});
m.Series.Add(boxPlotSeries);
return m;
}
}
}