Location: PHPKode > projects > Monyet > plotter/jpgraph-2.2/src/Examples/splineex1.php
<?php
include "../jpgraph.php";
include "../jpgraph_line.php";
include "../jpgraph_scatter.php";
include "../jpgraph_regstat.php";

// Original data points
$xdata = array(1,3,5,7,9,12,15,17.1);
$ydata = array(5,1,9,6,4,3,19,12);

// Get the interpolated values by creating
// a new Spline object.
$spline = new Spline($xdata,$ydata);

// For the new data set we want 40 points to
// get a smooth curve.
list($newx,$newy) = $spline->Get(50);

// Create the graph
$g = new Graph(300,200);
$g->SetMargin(30,20,40,30);
$g->title->Set("Natural cubic splines");
$g->title->SetFont(FF_ARIAL,FS_NORMAL,12);
$g->subtitle->Set('(Control points shown in red)');
$g->subtitle->SetColor('darkred');
$g->SetMarginColor('lightblue');

//$g->img->SetAntiAliasing();

// We need a linlin scale since we provide both
// x and y coordinates for the data points.
$g->SetScale('linlin');

// We want 1 decimal for the X-label
$g->xaxis->SetLabelFormat('%1.1f');

// We use a scatterplot to illustrate the original
// contro points.
$splot = new ScatterPlot($ydata,$xdata);

// 
$splot->mark->SetFillColor('hide@address.com');
$splot->mark->SetColor('hide@address.com');

// And a line plot to stroke the smooth curve we got
// from the original control points
$lplot = new LinePlot($newy,$newx);
$lplot->SetColor('navy');

// Add the plots to the graph and stroke
$g->Add($lplot);
$g->Add($splot);
$g->Stroke();

?>

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