/**
* Export chart values to a csv file
*
* @param file CSV file
*/
private void export(File file) {
String registro;
int n = 0;
int ne = 0;
String cabecera = "Time;";
for (int i = 0; i < plot.getDatasetCount(); i++) {
XYSeriesCollection ds = (XYSeriesCollection) plot.getDataset(i);
for (int j = 0; j < ds.getSeriesCount(); j++) {
n++;
XYSeries s = (XYSeries) ds.getSeries(j);
cabecera += s.getKey().toString() + ";";
if (n == 1) {
ne = s.getItemCount();
}
}
}
String[][] exportacion = new String[ne][n + 1];
n = 0;
for (int i = 0; i < plot.getDatasetCount(); i++) {
XYSeriesCollection ds = (XYSeriesCollection) plot.getDataset(i);
for (int j = 0; j < ds.getSeriesCount(); j++) {
XYSeries s = (XYSeries) ds.getSeries(j);
n++;
for (int e = 0; e < ne; e++) {
try {
exportacion[e][n] = ordinateFormat.format(s.getDataItem(e).getYValue());
} catch (Exception ex) {
exportacion[e][n] = "";
}
if (n == 1) {
exportacion[e][0] = abcissaFormat.format(s.getDataItem(e).getXValue());
}
}
}
}
FileWriter fichero;
PrintWriter pw;
try {
fichero = new FileWriter(file.getAbsolutePath(), false);
pw = new PrintWriter(fichero);
pw.println(cabecera);
for (String[] exp : exportacion) {
String strRegistro = "";
for (String e : exp) {
strRegistro += e + ";";
}
pw.println(strRegistro);
}
pw.close();
} catch (IOException ex) {
Global.info.log(ex);
}
}
@SuppressWarnings("rawtypes")
@Override
public void zoom(Rectangle selection) {
if (map == null || layer == null) {
return;
}
Set<FeatureId> selected = new HashSet<FeatureId>();
try {
XYSeriesCollection ds = (XYSeriesCollection) getChart().getXYPlot().getDataset(2);
XYSeries selectionSeries = ds.getSeries(0);
selectionSeries.clear();
EntityCollection entities = this.getChartRenderingInfo().getEntityCollection();
Iterator iter = entities.iterator();
while (iter.hasNext()) {
ChartEntity entity = (ChartEntity) iter.next();
if (entity instanceof XYItemEntity) {
XYItemEntity item = (XYItemEntity) entity;
if (item.getSeriesIndex() != 0) {
continue;
}
java.awt.Rectangle bound = item.getArea().getBounds();
if (selection.intersects(bound.x, bound.y, bound.width, bound.height)) {
XYSeriesCollection dataSet = (XYSeriesCollection) item.getDataset();
XYSeries xySeries = dataSet.getSeries(item.getSeriesIndex());
XYDataItem xyDataItem = xySeries.getDataItem(item.getItem());
if (xyDataItem instanceof XYDataItem2) {
XYDataItem2 dataItem = (XYDataItem2) xyDataItem;
selectionSeries.add(dataItem);
selected.add(ff.featureId(dataItem.getFeature().getID()));
}
}
}
}
} catch (Exception e) {
// skip
} finally {
if (selected.size() > 0) {
map.select(ff.id(selected), layer);
} else {
map.select(Filter.EXCLUDE, layer);
}
this.forceRedraw();
}
}
private XYIntervalSeries computeAcceptableDeviationData(double lowerBound, double upperBound) {
final XYSeries identity =
DatasetUtilities.sampleFunction2DToSeries(x -> x, lowerBound, upperBound, 100, "1:1 line");
final XYIntervalSeries xyIntervalSeries = new XYIntervalSeries(identity.getKey());
for (int i = 0; i < identity.getItemCount(); i++) {
XYDataItem item = identity.getDataItem(i);
final double x = item.getXValue();
final double y = item.getYValue();
if (scatterPlotModel.showAcceptableDeviation) {
final double acceptableDeviation = scatterPlotModel.acceptableDeviationInterval;
final double xOff = acceptableDeviation * x / 100;
final double yOff = acceptableDeviation * y / 100;
xyIntervalSeries.add(x, x - xOff, x + xOff, y, y - yOff, y + yOff);
} else {
xyIntervalSeries.add(x, x, x, y, y, y);
}
}
return xyIntervalSeries;
}
private XYIntervalSeries computeRegressionData(double xStart, double xEnd) {
if (scatterpointsDataset.getItemCount(0) > 1) {
final double[] coefficients = Regression.getOLSRegression(scatterpointsDataset, 0);
final Function2D curve = new LineFunction2D(coefficients[0], coefficients[1]);
final XYSeries regressionData =
DatasetUtilities.sampleFunction2DToSeries(curve, xStart, xEnd, 100, "regression line");
final XYIntervalSeries xyIntervalRegression = new XYIntervalSeries(regressionData.getKey());
for (int i = 0; i < regressionData.getItemCount(); i++) {
XYDataItem item = regressionData.getDataItem(i);
final double x = item.getXValue();
final double y = item.getYValue();
xyIntervalRegression.add(x, x, x, y, y, y);
}
return xyIntervalRegression;
} else {
JOptionPane.showMessageDialog(
this,
"Unable to compute regression line.\n"
+ "At least 2 values are needed to compute regression coefficients.");
return null;
}
}
/**
* Returns the y-value for the specified series and item.
*
* @param series the series (zero-based index).
* @param index the index of the item of interest (zero-based).
* @return The value (possibly <code>null</code>).
*/
public Number getY(int series, int index) {
XYSeries ts = (XYSeries) this.data.get(series);
XYDataItem xyItem = ts.getDataItem(index);
return xyItem.getY();
}
/**
* Returns the x-value for the specified series and item.
*
* @param series the series (zero-based index).
* @param item the item (zero-based index).
* @return The x-value for the specified series and item.
*/
public Number getX(int series, int item) {
XYSeries s = (XYSeries) this.data.get(series);
XYDataItem dataItem = s.getDataItem(item);
return dataItem.getX();
}
