public void Test_PlottablePopulations_Series()
{
// This example will display age, grouped by location.
// This example has 1 series that contains 5 population objects.
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
var ages = new Population[]
{
new Population(rand, 54, 53, 5), // africa
new Population(rand, 35, 72, 3), // americas
new Population(rand, 48, 72, 4), // asia
new Population(rand, 44, 78, 2), // europe
new Population(rand, 14, 81, 1), // oceania
};
var customPlottable = new PlottablePopulations(ages, color: System.Drawing.Color.CornflowerBlue);
// plot the multi-series
var plt = new ScottPlot.Plot();
plt.Add(customPlottable);
plt.XTicks(labels: new string[] { "Africas", "Americas", "Asia", "Europe", "Oceania" });
plt.Ticks(fontSize: 18);
// additional plot styling
plt.Title("Life Expectancy in 2007", fontSize: 26);
plt.YLabel("Age (years)", fontSize: 18);
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
public void Test_PlottablePopulations_Population()
{
// This example will display a single population: mean age of every country in europe in 2007
// This example has 1 series that contains 1 population.
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
var ages = new Population(rand, 44, 78, 2);
var customPlottable = new PlottablePopulations(ages);
// plot the multi-series
var plt = new ScottPlot.Plot(400, 300);
plt.Add(customPlottable);
plt.Ticks(displayTicksX: false);
// additional plot styling
plt.Title("Life Expectancy in European Countries in 2007");
plt.YLabel("Age (years)");
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
public void Test_PlottablePopulations_MultiSeries()
{
// This example will display age, grouped by location, and by year.
// This example has 3 series (years), each of which has 5 population objects (locations).
// for this example we will simulate countries by creating random data
Random rand = new Random(0);
// start by collecting series data as Population[] arrays
var ages1957 = new Population[]
{
new Population(rand, 54, 42, 4), // africa
new Population(rand, 35, 56, 6), // americas
new Population(rand, 48, 47, 5), // asia
new Population(rand, 44, 66, 2), // europe
new Population(rand, 14, 70, 1), // oceania
};
var ages1987 = new Population[]
{
new Population(rand, 54, 52, 8), // africa
new Population(rand, 35, 70, 3), // americas
new Population(rand, 48, 66, 3), // asia
new Population(rand, 44, 75, 2), // europe
new Population(rand, 14, 75, 1), // oceania
};
var ages2007 = new Population[]
{
new Population(rand, 54, 53, 5), // africa
new Population(rand, 35, 72, 3), // americas
new Population(rand, 48, 72, 4), // asia
new Population(rand, 44, 78, 2), // europe
new Population(rand, 14, 81, 1), // oceania
};
// now create a PopulationSeries object for each series
string[] groupLabels = new string[] { "Africa", "Americas", "Asia", "Europe", "Oceania" };
var series1957 = new PopulationSeries(ages1957, "1957", color: System.Drawing.Color.Red);
var series1987 = new PopulationSeries(ages1987, "1987", color: System.Drawing.Color.Green);
var series2007 = new PopulationSeries(ages2007, "2007", color: System.Drawing.Color.Blue);
// now collect all the series into a MultiSeries
var multiSeries = new PopulationSeries[] { series1957, series1987, series2007 };
var plottableMultiSeries = new PopulationMultiSeries(multiSeries);
var customPlottable = new PlottablePopulations(plottableMultiSeries);
// plot the multi-series
var plt = new ScottPlot.Plot();
plt.Add(customPlottable);
plt.XTicks(labels: groupLabels);
plt.Ticks(fontSize: 18);
// additional plot styling
plt.Title("Life Expectancy", fontSize: 26);
plt.YLabel("Age (years)", fontSize: 18);
plt.Legend(location: legendLocation.lowerRight);
plt.Grid(lineStyle: LineStyle.Dot, enableVertical: false);
TestTools.SaveFig(plt);
}
