| <?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('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(); |
| |
| ?> |
| |
