public void MinMeanMax()
{
var metric = new Metric();
metric.Add(10);
metric.Add(20);
Assert.That(metric.Count, Is.EqualTo(2));
Assert.That(metric.Min, Is.EqualTo(10));
Assert.That(metric.Max, Is.EqualTo(20));
Assert.That(metric.Mean, Is.EqualTo(15.0d));
metric.Add(60);
Assert.That(metric.Count, Is.EqualTo(3));
Assert.That(metric.Min, Is.EqualTo(10));
Assert.That(metric.Max, Is.EqualTo(60));
Assert.That(metric.Mean, Is.EqualTo(30.0d));
Histogram other = new Histogram();
other.Add(10);
other.Add(20);
other.Add(60);
CollectionAssert.AreEqual(metric.Histogram.Get(), other.Get());
}
public void HistogramOperations()
{
Histogram h = new Histogram(new double[] { 1.0, 3.0, 5.0, 7.0 });
Assert.IsTrue(h.Bins.Count == 3);
Assert.IsTrue(h.Range == Interval.FromEndpoints(1.0, 7.0));
Assert.IsTrue(h.BelowRangeBin.Range == Interval.FromEndpoints(Double.NegativeInfinity, 1.0));
Assert.IsTrue(h.Bins[0].Range == Interval.FromEndpoints(1.0, 3.0));
Assert.IsTrue(h.Bins[1].Range == Interval.FromEndpoints(3.0, 5.0));
Assert.IsTrue(h.Bins[2].Range == Interval.FromEndpoints(5.0, 7.0));
Assert.IsTrue(h.AboveRangeBin.Range == Interval.FromEndpoints(7.0, Double.PositiveInfinity));
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
h.Add(-1.0);
AssertBinCounts(h, new int[] { 1, 0, 0, 0, 0 });
h.Add(0.0);
AssertBinCounts(h, new int[] { 2, 0, 0, 0, 0 });
h.Add(1.0);
AssertBinCounts(h, new int[] { 2, 1, 0, 0, 0 });
h.Add(2.0);
AssertBinCounts(h, new int[] { 2, 2, 0, 0, 0 });
h.Add(3.0);
AssertBinCounts(h, new int[] { 2, 2, 1, 0, 0 });
h.Add(4.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 0, 0 });
h.Add(5.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 1, 0 });
h.Add(6.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 0 });
h.Add(7.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 1 });
h.Add(8.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 2 });
Assert.IsTrue(h.TotalCounts == 10);
//Assert.IsTrue(h.OutOfRangeCounts == 4);
h.Clear();
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
Assert.IsTrue(h.TotalCounts == 0);
foreach (HistogramBin bin in h.Bins) {
bin.Increment();
}
AssertBinCounts(h, new int[] { 0, 1, 1, 1, 0 });
foreach (HistogramBin bin in h.Bins) {
bin.Deincrement();
}
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
//Assert.IsTrue(h.OutOfRangeCounts == 0);
}
public static void Initialize(TestContext testContext)
{
histogram = new Histogram();
values = new byte[] { 16, 32, 64, 128, 16, 32, 128, 128, 64, 64 };
histogram.Add(values);
}
public void ChiSquareDistribution()
{
int B = 8;
Random rng = new Random(0);
//BinomialDistribution d = new BinomialDistribution(0.25, 6);
//DiscreteUniformDistribution d = new DiscreteUniformDistribution(0, 4);
//BernoulliDistribution d = new BernoulliDistribution(0.25);
DiscreteDistribution d = new PoissonDistribution(2.0);
Sample s = new Sample();
ChiSquaredDistribution nullDistribution = null;
for (int i = 0; i < 512; i++) {
Histogram h = new Histogram(B);
for (int j = 0; j < 1024; j++) {
int k = d.GetRandomValue(rng);
h.Add(k);
//if (k < h.Count) h[k].Increment();
//h[d.GetRandomValue(rng)].Increment();
}
TestResult cr = h.ChiSquaredTest(d);
nullDistribution = (ChiSquaredDistribution) cr.Distribution;
//Console.WriteLine(((ChiSquaredDistribution) cr.Distribution).DegreesOfFreedom);
s.Add(cr.Statistic);
}
Console.WriteLine(nullDistribution.DegreesOfFreedom);
TestResult kr = s.KuiperTest(nullDistribution);
Console.WriteLine(kr.LeftProbability);
}
protected void DrawChartWithSeriesInfoHist()
{
Steema.TeeChart.Axis axis = null;
Steema.TeeChart.Styles.Histogram s;
DataTable dt = null;
this.AnalysisChart.Chart.Series.Clear();
this.AnalysisChart.SetXAxisRegularInterval(true);
int iOldEnd = 0;
for (int i = 0; i < _llstSortingKey.Count; i++)
{
int iEnd = 0;
double min = 0;
double max = 0;
string strSortingValue = _llstSortingKey.GetKey(i).ToString();
string strSortingKey = _llstSortingKey.GetValue(i).ToString();
Color c = GetSeriesColor(i);
s = new Histogram();
s.Color = c;
s.Title = strSortingValue;
s.XValues.Name = Definition.CHART_COLUMN.VALUE;
this.AnalysisChart.Chart.Series.Add(s);
foreach (DataRow dr in this.dtDataSource.Rows)
{
string sSortingKey = dr[strSortingKey].ToString();
int dCount = int.Parse(dr[Definition.CHART_COLUMN.SAMPLE_COUNT].ToString());
int iIndex = int.Parse(dr[CommonChart.COLUMN_NAME_SEQ_INDEX].ToString());
double dData = double.Parse(dr[Definition.CHART_COLUMN.VALUE].ToString());
if (sSortingKey.Equals(strSortingValue))
{
if (dCount > iEnd)
{
iEnd = dCount;
}
s.Add(iIndex, dCount, c);
if (dData > min)
{
max = dData;
}
else
{
min = dData;
}
}
else
{
s.Add(iIndex, -999, c);
}
}
for (int index = 0; index < this.dtDataSource.Rows.Count; index++)
{
s.Labels[index] = this.dtDataSource.Rows[index][Definition.CHART_COLUMN.VALUE].ToString();
}
iOldEnd = iEnd;
}
this.AnalysisChart.Chart.Axes.Left.Maximum = iOldEnd;
this.AnalysisChart.Chart.Axes.Left.Minimum = 0;
this.AnalysisChart.Chart.Axes.Left.MinAxisIncrement = 1;
this.AnalysisChart.Chart.Axes.Left.MinorTickCount = 0;
this.AnalysisChart.Chart.Axes.Left.SetMinMax(0, iOldEnd);
this.AnalysisChart.Chart.Axes.Left.MinimumOffset = 0;
this.AnalysisChart.Chart.Axes.Left.MaximumOffset = iOldEnd + 1;
this.AnalysisChart.Chart.Axes.Bottom.MinorTickCount = 0;
}
/// <summary>
/// Shows the Historigram Chart from Maximum Temperature forecast.
/// </summary>
/// <param name="weather"> Weather info</param>
private void MaxTemperatureForecast(ActualWeather weather)
{
var tChart1 = new Chart();
tChart1.Aspect.View3D = false;
tChart1.Legend.Visible = false;
tChart1.Axes.Bottom.Labels.Angle = 90;
tChart1.Axes.Bottom.Labels.DateTimeFormat = "dd/MMM";
tChart1.Header.Text = "Min/Max Temperature of " + App.Weather.Name;
var maxTemp = new Histogram(tChart1.Chart);
var highlow = new HighLow(tChart1.Chart);
//maxTemp.LinesPen.Visible = false;
maxTemp.Color = Color.FromRgb(27, 177, 255);
maxTemp.LinePen.Color = Color.FromRgb(27, 177, 255);
maxTemp.LinePen.Width = 20;
maxTemp.LinesPen.Width = 20;
maxTemp.LinesPen.Visible = true;
maxTemp.LinePen.Visible = true;
maxTemp.LinesPen.Color = Color.FromRgb(27, 177, 255);
highlow.HighPen.Width = 4;
highlow.LowPen.Width = 4;
highlow.HighPen.DashCap = Steema.TeeChart.Drawing.PenLineCap.Round;
highlow.HighPen.EndCap = Steema.TeeChart.Drawing.PenLineCap.Round;
highlow.HighPen.Style = Steema.TeeChart.Drawing.DashStyle.Solid;
highlow.LowPen.DashCap = Steema.TeeChart.Drawing.PenLineCap.Round;
highlow.LowPen.EndCap = Steema.TeeChart.Drawing.PenLineCap.Round;
highlow.LowPen.Style = Steema.TeeChart.Drawing.DashStyle.Solid;
highlow.Marks.Visible = true;
highlow.Marks.DrawEvery = 3;
highlow.Marks.FollowSeriesColor = true;
highlow.HighPen.Color = Color.FromRgb(223, 5, 0);
highlow.LowPen.Color = Color.FromRgb(240, 186, 0);
highlow.Pen.Visible = false;
double max = App.getDegScaleTemp(weather.LstWeather[0].MaxTemperature);
double min = App.getDegScaleTemp(weather.LstWeather[0].MaxTemperature);
foreach (var item in weather.LstWeather)
{
if (App.getDegScaleTemp(item.MaxTemperature) > max)
{
max = App.getDegScaleTemp(item.MaxTemperature);
}
if (App.getDegScaleTemp(item.MaxTemperature) < min)
{
min = App.getDegScaleTemp(item.MinTemperature);
}
maxTemp.Add(item.Date, App.getDegScaleTemp(item.MaxTemperature));
highlow.Add(maxTemp.XValues.Last, item.MaxTemperature, item.MinTemperature);
}
maxTemp.Marks.AutoPosition = true;
maxTemp.Marks.Transparent = true;
tChart1.Axes.Left.SetMinMax((int)min - 3, (int)max + 4);
tChart1.Axes.Bottom.Increment = Steema.TeeChart.Utils.GetDateTimeStep(Steema.TeeChart.DateTimeSteps.OneDay);
tChart1.Axes.Bottom.SetMinMax(tChart1.Axes.Bottom.MinXValue + 0.5, tChart1.Axes.Bottom.MaxXValue - 0.5);
AxisSettings(tChart1);
TitleSettings(tChart1);
//SeriesMarksSettings(maxTemp);
tChart1.Axes.Left.Increment = 4;
ShowChart(tChart1);
}
public void AddingTooBigValues()
{
var h = new Histogram(1);
h.Add(2);
}
public void AddingTooSmallValues()
{
var h = new Histogram(1);
h.Add(0);
}
public void HistogramOperations()
{
Histogram h = new Histogram(new double[] { 1.0, 3.0, 5.0, 7.0 });
Assert.IsTrue(h.Bins.Count == 3);
Assert.IsTrue(h.Range == Interval.FromEndpoints(1.0, 7.0));
Assert.IsTrue(h.BelowRangeBin.Range == Interval.FromEndpoints(Double.NegativeInfinity, 1.0));
Assert.IsTrue(h.Bins[0].Range == Interval.FromEndpoints(1.0, 3.0));
Assert.IsTrue(h.Bins[1].Range == Interval.FromEndpoints(3.0, 5.0));
Assert.IsTrue(h.Bins[2].Range == Interval.FromEndpoints(5.0, 7.0));
Assert.IsTrue(h.AboveRangeBin.Range == Interval.FromEndpoints(7.0, Double.PositiveInfinity));
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
h.Add(-1.0);
AssertBinCounts(h, new int[] { 1, 0, 0, 0, 0 });
h.Add(0.0);
AssertBinCounts(h, new int[] { 2, 0, 0, 0, 0 });
h.Add(1.0);
AssertBinCounts(h, new int[] { 2, 1, 0, 0, 0 });
h.Add(2.0);
AssertBinCounts(h, new int[] { 2, 2, 0, 0, 0 });
h.Add(3.0);
AssertBinCounts(h, new int[] { 2, 2, 1, 0, 0 });
h.Add(4.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 0, 0 });
h.Add(5.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 1, 0 });
h.Add(6.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 0 });
h.Add(7.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 1 });
h.Add(8.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 2 });
Assert.IsTrue(h.TotalCounts == 10);
//Assert.IsTrue(h.OutOfRangeCounts == 4);
h.Clear();
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
Assert.IsTrue(h.TotalCounts == 0);
foreach (HistogramBin bin in h.Bins)
{
bin.Increment();
}
AssertBinCounts(h, new int[] { 0, 1, 1, 1, 0 });
foreach (HistogramBin bin in h.Bins)
{
bin.Deincrement();
}
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
//Assert.IsTrue(h.OutOfRangeCounts == 0);
}
public void DiscreteDistributionRandomValues()
{
foreach (DiscreteDistribution distribution in distributions) {
int max;
if (distribution.Maximum < 128) {
max = distribution.Maximum + 1;
} else {
max = (int) Math.Round(distribution.Mean + 2.0 * distribution.StandardDeviation);
}
Console.WriteLine("{0} {1}", distribution.GetType().Name, max);
Histogram h = new Histogram(max);
Random rng = new Random(314159265);
for (int i = 0; i < 1024; i++) h.Add(distribution.GetRandomValue(rng));
TestResult result = h.ChiSquaredTest(distribution);
Console.WriteLine("{0} {1}", result.Statistic, result.RightProbability);
Assert.IsTrue(result.RightProbability > 0.05);
}
}
