private DefaultCategoryDataset createDataset() {
DefaultCategoryDataset defaultCategoryDataset = new DefaultCategoryDataset();
for (String key : histogram.keySet()) {
defaultCategoryDataset.addValue(histogram.get(key), "", key);
}
return defaultCategoryDataset;
}
/**
* A factory object which creates a histogram object for an image.
*
* @param fileName the file name of the image to compute a histogram.
* @return A histogram object for the specified image.
* @throws IOException if the specified image file does not exists or there is some problem
* reading it.
*/
public static Histogram getHisrogram(String fileName) throws IOException {
File f = new File(fileName);
BufferedImage img = ImageIO.read(f);
Histogram h = new Histogram(fileName);
// h.parseGrayHistogram(img);
h.parseHistogramForColors(img);
return h;
}
public void actionPerformed(ActionEvent event) {
Object source = new Object();
source = event.getSource();
String data, histo = "";
if (source == btnRun) {
Histogram gram = new Histogram(txtWord.getText());
data = gram.getData();
histo = gram.getHistogram();
JOptionPane.showMessageDialog(null, data + "\n" + histo);
}
}
private static void checkZeros(ExpDataManager expMan) {
int neverabove = 0;
int sometimes = 0;
int always = 0;
Histogram h = new Histogram(0.1);
for (String gene : HGNC.getAllSymbols()) {
if (!expMan.contains(gene)) continue;
double r = expMan.getNonZeroRatio(gene);
h.count(r);
if (r == 0) neverabove++;
else if (r == 1) always++;
else sometimes++;
}
System.out.println("neverabove = " + neverabove);
System.out.println("always = " + always);
System.out.println("sometimes = " + sometimes);
h.print();
}
private synchronized void computeHistogram(Rectangle visibleRect, PlanarImage image) {
int channels = image.getSampleModel().getNumBands();
Histogram hist = new Histogram(256, 256, 512, channels);
bins = hist.getBins();
// Raster raster = image.getData(visibleRect);
Rectangle bounds = visibleRect; // image.getBounds();
int pixel[] = null;
int maxPixels = 256;
int incX = bounds.width >= 2 * maxPixels ? bounds.width / maxPixels : 1;
int incY = bounds.height >= 2 * maxPixels ? bounds.height / maxPixels : 1;
double log2 = Math.log(2);
int minTileX = image.XToTileX(bounds.x);
int maxTileX = image.XToTileX(bounds.x + bounds.width - 1);
int minTileY = image.YToTileY(bounds.y);
int maxTileY = image.YToTileY(bounds.y + bounds.height - 1);
for (int tx = minTileX; tx <= maxTileX; tx++)
for (int ty = minTileY; ty <= maxTileY; ty++) {
Raster raster = image.getTile(tx, ty);
int minX = Math.max(bounds.x, raster.getMinX());
int maxX = Math.min(bounds.x + bounds.width, raster.getMinX() + raster.getWidth());
int minY = Math.max(bounds.y, raster.getMinY());
int maxY = Math.min(bounds.y + bounds.height, raster.getMinY() + raster.getHeight());
for (int x = minX; x < maxX; x += incX)
for (int y = minY; y < maxY; y += incY) {
pixel = raster.getPixel(x, y, pixel);
for (int c = 0; c < channels; c++) {
int v = (int) (511 * logTable[pixel[c]] / (16 * log2));
if (v > 255) bins[c][v - 256]++;
else bins[c][0]++;
}
}
}
bins = hist.getBins();
}
private IntervalXYDataset getHistrogrammedDataAttributes(
String[] attributes, long barsize, long timesize) {
IntervalXYDataset dataset = null;
if (no_intervals) {
dataset = new XYSeriesCollection();
} else {
dataset = new YIntervalSeriesCollection();
}
for (int index = 0; index < attributes.length; index++) {
Histogram histogram = new Histogram(barsize);
String attribute = attributes[index];
for (ProcessInstance pi : mylog.getInstances()) {
Date begin;
try {
begin = pi.getAuditTrailEntryList().get(0).getTimestamp();
} catch (Exception e) {
Message.add(e.getMessage(), Message.ERROR);
return null;
} // starting time of process instance
int j = 0;
for (AuditTrailEntry ate : pi.getListOfATEs()) {
if (ate.getAttributes().containsKey(attribute)) {
Double val;
val = Double.valueOf(ate.getAttributes().get(attribute));
if (xbox.getSelectedIndex() == 2) {
histogram.addValue(j, val);
}
if (xbox.getSelectedIndex() == 3) {
histogram.addValue(timediff(begin, ate.getTimestamp()), val);
}
j++;
}
}
}
if (no_intervals) {
((XYSeriesCollection) dataset).addSeries(histogram.getXYSeries(attribute, timesize));
} else {
((YIntervalSeriesCollection) dataset)
.addSeries(histogram.getYIntervalSeries(attribute, timesize));
}
}
return dataset;
}