function draw_graph($example_data, $attribute)
{
require_once 'phplot.php';
$plot = new PHPlot_truecolor(800, 800);
$plot->SetTitle('Distribution of ' . $attribute);
$plot->SetImageBorderType('plain');
// Improves presentation in the manual
$plot->SetDataValues($example_data);
$plot->SetPlotType('linepoints');
$plot->SetDrawYDataLabelLines(True);
$plot->SetXTitle("Selected Dates");
$plot->SetYTitle($attribute);
$plot->DrawGraph();
}
mt_srand(1);
$data = array();
$value = 10;
for ($i = 0; $i < 500; $i++) {
$data[] = array('', $i, $value);
$value = max(0, $value + mt_rand(-9, 10));
}
# Make a color gradient array of blue:
$colors = array();
for ($b = 32; $b <= 255; $b += 2) {
$colors[] = array(0, 0, $b);
}
for ($b = 255; $b >= 32; $b -= 2) {
$colors[] = array(0, 0, $b);
}
# Use a truecolor plot image in order to get more colors.
$plot = new PHPlot_truecolor(800, 600);
$plot->SetImageBorderType('plain');
// Improves presentation in the manual
$plot->SetPlotType('thinbarline');
$plot->SetDataType('data-data');
$plot->SetDataValues($data);
$plot->SetLineWidths(2);
$plot->SetDataColors($colors);
$plot->SetXTickPos('none');
$plot->SetPlotAreaWorld(0, 0, 500, NULL);
$plot->SetTitle('Meaningless Data with Color Gradient');
# Establish the function 'getcolor' as a data color selection callback.
$plot->SetCallback('data_color', 'getcolor');
$plot->DrawGraph();
}
// Shading, empty string to omit
if (!isset($alpha)) {
$alpha = 50;
}
// Default data colors alpha, NULL to skip
require_once 'phplot.php';
$data = array();
for ($i = 0; $i < 16; $i++) {
$data[] = array('', 1);
}
$p = new PHPlot_truecolor(800, 800);
if ($shading === '') {
$d_shading = "default shading";
} elseif ($shading === 0) {
$d_shading = "no shading";
} else {
$d_shading = "shading={$shading}";
}
$p->SetTitle("Truecolor Piechart with alpha={$alpha}, {$d_shading}");
$p->SetDataType('text-data-single');
$p->SetDataValues($data);
if (isset($alpha)) {
$p->SetDataColors(NULL, NULL, $alpha);
}
$p->SetPlotType('pie');
if ($shading !== '') {
$p->SetShading($shading);
}
$p->DrawGraph();
function plot_histogram($image_filename, $param)
{
extract($param);
$histo = get_histogram($image_filename);
if (empty($histo)) {
return;
}
for ($i = 0; $i < 256; $i++) {
$data[$i] = array('', $histo[$i]);
}
$p = new PHPlot_truecolor($plot_image_width, $plot_image_height);
$p->SetFileFormat('jpg');
$p->SetBgImage($image_filename, 'scale');
$p->SetDataType('text-data');
$p->SetDrawXAxis(False);
$p->SetDrawYAxis(False);
$p->SetDataValues($data);
$p->SetXDataLabelPos('none');
$p->SetXTickLabelPos('none');
$p->SetYTickLabelPos('none');
$p->SetXTickPos('none');
$p->SetYTickPos('none');
$p->SetDrawYGrid(False);
$p->SetDataColors($histogram_color, NULL, $histogram_alpha);
$p->SetPlotType('thinbarline');
if ($draw_border) {
$p->SetGridColor($border_color);
$p->SetPlotBorderType('full');
} else {
$p->SetPlotBorderType('none');
}
# Compute the position of the histogram plot within the image.
$hx0 = (int) ($hx * $plot_image_width);
$hy0 = (int) ($hy * $plot_image_height);
$hx1 = (int) ($h_width * $plot_image_width) + $hx0;
$hy1 = (int) ($h_height * $plot_image_height) + $hy0;
$p->SetPlotAreaPixels($hx0, $hy0, $hx1, $hy1);
$p->DrawGraph();
}