public void Test_Bar_ShowValues()
{
var plt = new ScottPlot.Plot();
// start with default settings
double[] ys = new double[] { 1, 3, 2, 4 };
var bar = new BarPlot(null, ys, null, null)
{
};
plt.Add(bar);
plt.SetAxisLimits(-1, 4, -1, 5);
var bmp1 = TestTools.GetLowQualityBitmap(plt);
// change the plottable
bar.ShowValuesAboveBars = true;
var bmp2 = TestTools.GetLowQualityBitmap(plt);
// measure what changed
//TestTools.SaveFig(bmp1, "1");
//TestTools.SaveFig(bmp2, "2");
var before = new MeanPixel(bmp1);
var after = new MeanPixel(bmp2);
Console.WriteLine($"Before: {before}");
Console.WriteLine($"After: {after}");
Assert.That(after.IsDarkerThan(before));
}
public void Test_Bar_MultiSeries()
{
Random rand = new Random(0);
string[] groupNames = { "one", "two", "three", "four", "five" };
string[] seriesNames = { "alpha", "beta", "gamma" };
int groupCount = groupNames.Length;
double[] xs = DataGen.Consecutive(groupCount);
double[] ys1 = DataGen.RandomNormal(rand, groupCount, 20, 5);
double[] ys2 = DataGen.RandomNormal(rand, groupCount, 20, 5);
double[] ys3 = DataGen.RandomNormal(rand, groupCount, 20, 5);
double[] err1 = DataGen.RandomNormal(rand, groupCount, 5, 2);
double[] err2 = DataGen.RandomNormal(rand, groupCount, 5, 2);
double[] err3 = DataGen.RandomNormal(rand, groupCount, 5, 2);
var plt = new ScottPlot.Plot(600, 400);
plt.PlotBarGroups(
groupLabels: groupNames,
seriesLabels: seriesNames,
ys: new double[][] { ys1, ys2, ys3 },
yErr: new double[][] { err1, err2, err3 });
plt.SetAxisLimits(yMin: 0);
plt.Grid(enableVertical: false, lineStyle: LineStyle.Dot);
plt.Legend(location: Alignment.UpperRight);
TestTools.SaveFig(plt);
}
public void Test_AutoAxis_ShrinkWhenNeeded()
{
var plt = new ScottPlot.Plot();
// small area
plt.PlotLine(-5, -5, 5, 5);
plt.AxisAuto();
var limitsA = plt.GetAxisLimits();
Console.WriteLine($"limits A: {limitsA}");
// expand to large area
plt.SetAxisLimits(-123, 123, -123, 123);
var limitsB = plt.GetAxisLimits();
Console.WriteLine($"limits B: {limitsB}");
// shrink back to small area
plt.AxisAuto();
var limitsC = plt.GetAxisLimits();
Console.WriteLine($"limits C: {limitsC}");
Assert.That(limitsB.XMin < limitsA.XMin);
Assert.That(limitsB.XMax > limitsA.XMax);
Assert.That(limitsB.YMin < limitsA.YMin);
Assert.That(limitsB.YMax > limitsA.YMax);
Assert.That(limitsB.XMin < limitsC.XMin);
Assert.That(limitsB.XMax > limitsC.XMax);
Assert.That(limitsB.YMin < limitsC.YMin);
Assert.That(limitsB.YMax > limitsC.YMax);
}
public void Test_function_LineStyle()
{
var plt = new ScottPlot.Plot();
// start with default settings
double?func(double x) => Math.Sqrt(x);
var funcPlot = new FunctionPlot(func)
{
};
plt.SetAxisLimits(-1, 1, -.5, 1.5);
plt.Add(funcPlot);
var bmp1 = TestTools.GetLowQualityBitmap(plt);
// change the plottable
funcPlot.lineStyle = LineStyle.Dash;
var bmp2 = TestTools.GetLowQualityBitmap(plt);
// measure what changed
//TestTools.SaveFig(bmp1, "1");
//TestTools.SaveFig(bmp2, "2");
var before = new MeanPixel(bmp1);
var after = new MeanPixel(bmp2);
Console.WriteLine($"Before: {before}");
Console.WriteLine($"After: {after}");
Assert.That(after.IsLighterThan(before));
}
public void Test_TickMinor_OnePixelOffFromMajor()
{
// this makes the horizontal axis tick near 2.0 look bad
var plt = new ScottPlot.Plot(400, 300);
plt.SetAxisLimits(0, 3, 0, 3);
TestTools.SaveFig(plt);
}
public void Test_Axis_VeryBigNumbers()
{
var plt = new ScottPlot.Plot();
plt.AddSignal(DataGen.Sin(51));
plt.AddSignal(DataGen.Cos(51));
plt.SetAxisLimits(yMin: -10e50, yMax: 10e50);
TestTools.SaveFig(plt);
}
public void Test_Scatter_Smooth()
{
double[] xs = { 18.5, 20.6, 22.3, 24.5, 26.6, 15, 15 };
double[] ys = { 1.43, 1.48, 1.6, 1.59, 1.53, 1.52, 1.6 };
var plt = new ScottPlot.Plot(600, 400);
var sp1 = plt.AddScatter(xs, ys, label: "DrawLines()");
sp1.Smooth = false;
var sp2 = plt.AddScatter(xs, ys, label: "DrawCurve()");
sp2.Smooth = true;
plt.Legend();
plt.SetAxisLimits(0, 30, 1.42, 1.62);
TestTools.SaveFig(plt);
}
