private void GenerateData(NBoxAndWhiskersSeries series, int nCount)
{
series.ClearDataPoints();
DateTime dt = new DateTime(2005, 5, 24, 11, 0, 0);
Random random = new Random();
for (int i = 0; i < nCount; i++)
{
double boxLower = 1000 + Random.NextDouble() * 200;
double boxUpper = boxLower + 200 + Random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + Random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + Random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
series.UpperBoxValues.Add(boxUpper);
series.LowerBoxValues.Add(boxLower);
series.UpperWhiskerValues.Add(whiskersUpper);
series.LowerWhiskerValues.Add(whiskersLower);
series.MedianValues.Add(median);
series.AverageValues.Add(average);
// generate date time value
dt = dt.AddHours(12 + Random.NextDouble() * 60);
series.XValues.Add(dt.ToOADate());
// generate outlier values
int outliersCount = Random.Next(5);
NDoubleList outliers = new NDoubleList();
for (int k = 0; k < outliersCount; k++)
{
double dOutlier = 0;
if (Random.NextDouble() > 0.5)
{
dOutlier = boxUpper + IQR * 1.5 + Random.NextDouble() * 100;
}
else
{
dOutlier = boxLower - IQR * 1.5 - Random.NextDouble() * 100;
}
outliers.Add(dOutlier);
}
series.OutlierValues.Add(outliers);
}
}
private void GenerateData(NBoxAndWhiskersSeries series, int nCount)
{
series.ClearDataPoints();
for (int i = 0; i < nCount; i++)
{
double boxLower = 1000 + Random.NextDouble() * 200;
double boxUpper = boxLower + 200 + Random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + Random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + Random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
series.UpperBoxValues.Add(boxUpper);
series.LowerBoxValues.Add(boxLower);
series.UpperWhiskerValues.Add(whiskersUpper);
series.LowerWhiskerValues.Add(whiskersLower);
series.MedianValues.Add(median);
series.AverageValues.Add(average);
int outliersCount = Random.Next(5);
NDoubleList outliers = new NDoubleList();
for (int k = 0; k < outliersCount; k++)
{
double dOutlier = 0;
if (Random.NextDouble() > 0.5)
{
dOutlier = boxUpper + IQR * 1.5 + Random.NextDouble() * 100;
}
else
{
dOutlier = boxLower - IQR * 1.5 - Random.NextDouble() * 100;
}
outliers.Add(dOutlier);
}
series.OutlierValues.Add(outliers);
}
}
private void ChartTypeComboBox_SelectedIndexChanged(object sender, EventArgs e)
{
NChart chart = nChartControl1.Charts[0];
chart.Series.Clear();
const int numDataPoints = 50;
switch (ChartTypeComboBox.SelectedIndex)
{
case 0: // Area
{
NAreaSeries area = new NAreaSeries();
area.DataLabelStyle.Visible = false;
area.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
GenerateData(area, 100.0, numDataPoints, new NRange1DD(60, 140));
chart.Series.Add(area);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NValueTimelineScaleConfigurator();
}
break;
case 1: // Bar
{
NBarSeries bar = new NBarSeries();
bar.DataLabelStyle.Visible = false;
bar.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
GenerateData(bar, 100.0, numDataPoints, new NRange1DD(60, 140));
chart.Series.Add(bar);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NValueTimelineScaleConfigurator();
}
break;
case 2: // Box And Whiskers
{
NBoxAndWhiskersSeries boxAndWhiskers = new NBoxAndWhiskersSeries();
boxAndWhiskers.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
for (int i = 0; i < 40; i++)
{
double boxLower = 1000 + Random.NextDouble() * 200;
double boxUpper = boxLower + 200 + Random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + Random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + Random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
boxAndWhiskers.UpperBoxValues.Add(boxUpper);
boxAndWhiskers.LowerBoxValues.Add(boxLower);
boxAndWhiskers.UpperWhiskerValues.Add(whiskersUpper);
boxAndWhiskers.LowerWhiskerValues.Add(whiskersLower);
boxAndWhiskers.MedianValues.Add(median);
boxAndWhiskers.AverageValues.Add(average);
int outliersCount = Random.Next(5);
NDoubleList outliers = new NDoubleList();
for (int k = 0; k < outliersCount; k++)
{
double dOutlier = 0;
if (Random.NextDouble() > 0.5)
{
dOutlier = boxUpper + IQR * 1.5 + Random.NextDouble() * 100;
}
else
{
dOutlier = boxLower - IQR * 1.5 - Random.NextDouble() * 100;
}
outliers.Add(dOutlier);
}
boxAndWhiskers.OutlierValues.Add(outliers);
}
chart.Series.Add(boxAndWhiskers);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NLinearScaleConfigurator();
}
break;
case 3: // Error Bar
{
NErrorBarSeries errorBar = new NErrorBarSeries();
errorBar.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
double y;
double x = 50.0;
for (int i = 0; i < 50; i++)
{
y = 20 + Random.NextDouble() * 30;
x += 2.0 + Random.NextDouble() * 2;
errorBar.Values.Add(y);
errorBar.LowerErrorsY.Add(1 + Random.NextDouble());
errorBar.UpperErrorsY.Add(1 + Random.NextDouble());
errorBar.XValues.Add(x);
errorBar.LowerErrorsX.Add(1 + Random.NextDouble());
errorBar.UpperErrorsX.Add(1 + Random.NextDouble());
}
chart.Series.Add(errorBar);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NLinearScaleConfigurator();
}
break;
case 4: // "Float Bar");
{
NFloatBarSeries floatBar = new NFloatBarSeries();
floatBar.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
// generate Y values
for (int i = 0; i < 100; i++)
{
double dBeginValue = Random.NextDouble() * 5;
double dEndValue = dBeginValue + 2 + Random.NextDouble();
floatBar.Values.Add(dBeginValue);
floatBar.EndValues.Add(dEndValue);
}
// generate X values
DateTime dt = new DateTime(2007, 5, 24, 11, 0, 0);
for (int i = 0; i < 100; i++)
{
dt = dt.AddHours(12 + Random.NextDouble() * 60);
floatBar.XValues.Add(dt);
}
chart.Series.Add(floatBar);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NValueTimelineScaleConfigurator();
}
break;
case 5: // Line
{
NLineSeries line = new NLineSeries();
line.DataLabelStyle.Visible = false;
line.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
GenerateData(line, 100.0, numDataPoints, new NRange1DD(60, 140));
chart.Series.Add(line);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NValueTimelineScaleConfigurator();
}
break;
case 6: // Point
{
NPointSeries point = new NPointSeries();
point.DataLabelStyle.Visible = false;
point.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
point.Size = new NLength(5);
GenerateData(point, 100.0, numDataPoints, new NRange1DD(60, 140));
chart.Series.Add(point);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NLinearScaleConfigurator();
}
break;
case 7: // Stock
{
// setup stock series
NStockSeries stock = (NStockSeries)chart.Series.Add(SeriesType.Stock);
stock.DataLabelStyle.Visible = false;
stock.UpFillStyle = new NColorFillStyle(Color.White);
stock.UpStrokeStyle.Color = Color.Black;
stock.DownFillStyle = new NColorFillStyle(Color.Crimson);
stock.DownStrokeStyle.Color = Color.Crimson;
stock.HighLowStrokeStyle.Color = Color.Black;
stock.CandleWidth = new NLength(1.2f, NRelativeUnit.ParentPercentage);
stock.UseXValues = true;
stock.InflateMargins = true;
stock.VerticalAxisRangeMode = AxisRangeMode.ViewRange;
// add some stock items
GenerateOHLCData(stock, 100.0, numDataPoints, new NRange1DD(60, 140));
FillStockDates(stock, numDataPoints);
chart.Axis(StandardAxis.PrimaryX).ScaleConfigurator = new NValueTimelineScaleConfigurator();
}
break;
}
nChartControl1.Refresh();
}
