public PopulationPlot(Population population, string label = null, Color?color = null)
{
var populations = new Population[] { population };
var ps = new PopulationSeries(populations, label, color ?? Color.LightGray);
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { ps });
}
public PlottablePopulations(PopulationSeries populationSeries, string label = null, System.Drawing.Color?color = null)
{
if (color is null)
{
color = System.Drawing.Color.LightGray;
}
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { populationSeries });
}
public PlottablePopulations(Population[] populations, string label = null, System.Drawing.Color?color = null)
{
if (color is null)
{
color = System.Drawing.Color.LightGray;
}
var ps = new PopulationSeries(populations, label, color.Value);
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { ps });
}
public PopulationPlot PlotPopulations(PopulationSeries series, string label = null)
{
series.color = settings.GetNextColor();
if (label != null)
{
series.seriesLabel = label;
}
var plottable = new PopulationPlot(series);
Add(plottable);
return(plottable);
}
public PopulationPlot(PopulationSeries populationSeries)
{
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { populationSeries });
}
public PlottablePopulations(PopulationSeries populationSeries)
{
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { populationSeries });
}
public PlottablePopulations(Population[] populations, string label = null, Color?color = null)
{
var ps = new PopulationSeries(populations, label, color ?? Color.LightGray);
popMultiSeries = new PopulationMultiSeries(new PopulationSeries[] { ps });
}
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 PopulationPlot(plottableMultiSeries);
// plot the multi-series
var plt = new ScottPlot.Plot();
plt.Add(customPlottable);
plt.XTicks(labels: groupLabels);
plt.XAxis.TickLabelStyle(fontSize: 18);
plt.YAxis.TickLabelStyle(fontSize: 18);
// additional plot styling
plt.XAxis2.Label(label: "Life Expectancy", size: 26);
plt.YAxis.Label(label: "Age (years)", size: 18);
plt.Legend(location: Alignment.LowerRight);
plt.Grid(lineStyle: LineStyle.Dot);
plt.XAxis.Grid(false);
TestTools.SaveFig(plt);
}
