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); }