File: main.cpp

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labplot 2.12.1-1
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#include <labplot.h>

int main(int argc, char** argv) {
	// create a spreadsheet and import the data into it
	auto* spreadsheet = new Spreadsheet(QStringLiteral("data"));
	AsciiFilter filter;
	filter.readDataFromFile(QStringLiteral("data.txt"), spreadsheet);

	// create a worksheet
	auto* worksheet = new Worksheet(QStringLiteral("worksheet"));

	// create a plot area and add it to the worksheet
	auto* plotArea = new CartesianPlot(QStringLiteral("plot area"));
	plotArea->setType(CartesianPlot::Type::FourAxes);
	plotArea->addLegend();
	worksheet->addChild(plotArea);

	// create a histogram for the imported data and add it to the plot area
	auto* histogram = new Histogram(QStringLiteral("histogram"));
	histogram->setNormalization(Histogram::Normalization::ProbabilityDensity);
	histogram->setDataColumn(spreadsheet->column(0));
	plotArea->addChild(histogram);

	// perform a fit to the raw data and show it
	auto* fitCurve = new XYFitCurve(QStringLiteral("fit"));
	fitCurve->setDataSourceType(XYAnalysisCurve::DataSourceType::Histogram);
	fitCurve->setDataSourceHistogram(histogram);
	plotArea->addChild(histogram);

	// initialize the fit
	auto fitData = fitCurve->fitData();
	fitData.modelCategory = nsl_fit_model_distribution;
	fitData.modelType = nsl_sf_stats_gaussian;
	fitData.algorithm = nsl_fit_algorithm_ml; // ML distribution fit
	XYFitCurve::initFitData(fitData);
	fitCurve->setFitData(fitData);

	// perform the actual fit
	fitCurve->recalculate();

	// apply the theme "Dracula"
	worksheet->setTheme(QStringLiteral("Dracula"));

	// export the worksheet to PDF
	worksheet->exportToFile(QStringLiteral("result.pdf"), Worksheet::ExportFormat::PDF);
}