splineex1.php

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    <?php // content="text/plain; charset=utf-8"
    require_once ('jpgraph/jpgraph.php');
    require_once ('jpgraph/jpgraph_line.php');
    require_once ('jpgraph/jpgraph_scatter.php');
    require_once ('jpgraph/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('red@0.3');
    $splot->mark->SetColor('red@0.5');

    // 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();

    ?>