Inizializzazione
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56
jpgraph-3.5.0b1/src/Examples/splineex1.php
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56
jpgraph-3.5.0b1/src/Examples/splineex1.php
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<?php // content="text/plain; charset=utf-8"
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require_once ('jpgraph/jpgraph.php');
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require_once ('jpgraph/jpgraph_line.php');
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require_once ('jpgraph/jpgraph_scatter.php');
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require_once ('jpgraph/jpgraph_regstat.php');
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// Original data points
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$xdata = array(1,3,5,7,9,12,15,17.1);
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$ydata = array(5,1,9,6,4,3,19,12);
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// Get the interpolated values by creating
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// a new Spline object.
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$spline = new Spline($xdata,$ydata);
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// For the new data set we want 40 points to
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// get a smooth curve.
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list($newx,$newy) = $spline->Get(50);
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// Create the graph
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$g = new Graph(300,200);
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$g->SetMargin(30,20,40,30);
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$g->title->Set("Natural cubic splines");
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$g->title->SetFont(FF_ARIAL,FS_NORMAL,12);
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$g->subtitle->Set('(Control points shown in red)');
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$g->subtitle->SetColor('darkred');
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$g->SetMarginColor('lightblue');
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//$g->img->SetAntiAliasing();
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// We need a linlin scale since we provide both
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// x and y coordinates for the data points.
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$g->SetScale('linlin');
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// We want 1 decimal for the X-label
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$g->xaxis->SetLabelFormat('%1.1f');
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// We use a scatterplot to illustrate the original
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// contro points.
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$splot = new ScatterPlot($ydata,$xdata);
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//
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$splot->mark->SetFillColor('red@0.3');
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$splot->mark->SetColor('red@0.5');
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// And a line plot to stroke the smooth curve we got
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// from the original control points
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$lplot = new LinePlot($newy,$newx);
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$lplot->SetColor('navy');
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// Add the plots to the graph and stroke
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$g->Add($lplot);
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$g->Add($splot);
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$g->Stroke();
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?>
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