private XYDataset filterData(List<double[]> ds) {
this.setCursor(new Cursor(Cursor.WAIT_CURSOR));
double[] correlation = null;
double[] dblData1 = applyWindow(ds.get(0), (String) getTaperCB().getSelectedItem());
try {
if (ds.size() == 1) {
correlation = IstiUtilsMath.correlate(dblData1, dblData1);
} else {
double[] dblData2 = applyWindow(ds.get(1), (String) taperCB.getSelectedItem());
correlation = IstiUtilsMath.correlate(dblData1, dblData2);
}
} catch (IllegalArgumentException e) {
logger.error("IllegalArgumentException:", e);
}
logger.debug("correlation computed, size = " + correlation.length);
XYSeriesCollection dataset = new XYSeriesCollection();
XYSeries series = new XYSeries(seriesName);
double ampMax = 0;
int ampMaxPoint = -1;
for (int i = 0; i < correlation.length; i++) {
series.add(sampleRate * (i - correlation.length / 2) / 1000, correlation[i]);
if (Math.abs(correlation[i]) > ampMax) {
ampMax = Math.abs(correlation[i]);
ampMaxPoint = i;
}
}
dataset.addSeries(series);
getAmpMaxL().setText("Max Amplitude: " + dFormat.format(ampMax));
getLagTimeL()
.setText("Lag time: " + sampleRate * (ampMaxPoint - correlation.length / 2) / 1000 + " s");
this.setCursor(new Cursor(Cursor.DEFAULT_CURSOR));
return dataset;
}
public static void drawPic(String url, String file) throws FileNotFoundException, IOException {
// XYSeries xyseries = getXY(url);
XYSeries xyseries = getXYseries(url);
XYSeriesCollection xyseriescollection =
new XYSeriesCollection(); // 再用XYSeriesCollection添加入XYSeries
// 对象
xyseriescollection.addSeries(xyseries);
// 创建主题样式
StandardChartTheme standardChartTheme = new StandardChartTheme("CN");
// 设置标题字体
standardChartTheme.setExtraLargeFont(new Font("隶书", Font.BOLD, 20));
// 设置图例的字体
standardChartTheme.setRegularFont(new Font("宋书", Font.PLAIN, 15));
// 设置轴向的字体
standardChartTheme.setLargeFont(new Font("宋书", Font.PLAIN, 15));
// 应用主题样式
ChartFactory.setChartTheme(standardChartTheme);
// JFreeChart chart=ChartFactory.createXYAreaChart("xyPoit", "点的标号",
// "出现次数", xyseriescollection, PlotOrientation.VERTICAL, true, false,
// false);
JFreeChart chart =
ChartFactory.createScatterPlot(
"决策图", "点密度", "点距离", xyseriescollection, PlotOrientation.VERTICAL, true, false, false);
// String file="d:/decision_chart.png";
try {
ChartUtilities.saveChartAsPNG(new File(file), chart, 470, 470);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println(new java.util.Date() + ": finished drawing the pic in " + file);
}
protected void updateXYSerieses() throws MicroarrayException {
Iterable<Float> xValues = data.queryFeatures(xVar.getExpression()).asFloats();
Iterable<Float> yValues = data.queryFeatures(yVar.getExpression()).asFloats();
XYSeries series = new XYSeries("");
XYSeries selectionSeries = new XYSeries("");
Iterator<Float> xIterator = xValues != null ? xValues.iterator() : null;
int i = 0;
for (Float y : yValues) {
if (selectedIndexes.contains(i)) {
if (xIterator != null) {
selectionSeries.add(xIterator.next(), y);
} else {
selectionSeries.add(i, y);
}
} else {
if (xIterator != null) {
series.add(xIterator.next(), y);
} else {
series.add(i, y);
}
}
i++;
}
XYSeriesCollection dataset = new XYSeriesCollection();
dataset.addSeries(series);
dataset.addSeries(selectionSeries);
plot.setDataset(dataset);
}
private XYPlot createScalabilityPlot(
List<XYSeries> seriesList,
String xAxisLabel,
NumberFormat xAxisNumberFormat,
String yAxisLabel,
NumberFormat yAxisNumberFormat) {
NumberAxis xAxis;
if (useLogarithmicProblemScale(seriesList)) {
LogarithmicAxis logarithmicAxis = new LogarithmicAxis(xAxisLabel + " (logarithmic)");
logarithmicAxis.setAllowNegativesFlag(true);
xAxis = logarithmicAxis;
} else {
xAxis = new NumberAxis(xAxisLabel);
}
xAxis.setNumberFormatOverride(xAxisNumberFormat);
NumberAxis yAxis = new NumberAxis(yAxisLabel);
yAxis.setNumberFormatOverride(yAxisNumberFormat);
XYPlot plot = new XYPlot(null, xAxis, yAxis, null);
int seriesIndex = 0;
for (XYSeries series : seriesList) {
XYSeriesCollection seriesCollection = new XYSeriesCollection();
seriesCollection.addSeries(series);
plot.setDataset(seriesIndex, seriesCollection);
XYItemRenderer renderer = createScalabilityPlotRenderer(yAxisNumberFormat);
plot.setRenderer(seriesIndex, renderer);
seriesIndex++;
}
plot.setOrientation(PlotOrientation.VERTICAL);
return plot;
}
private XYDataset createDataset(String metricName) {
series = new XYSeriesCollection();
// For each collection of evaluations
for (int i = 0; i < evaluationsCollection.size(); i++) {
if (!set.contains(i)) {
List<AbstractEvaluation> evaluations = evaluationsCollection.get(i);
XYSeries newXYSerie = new XYSeries(queryNames.get(i));
int evalIndex = 0;
for (AbstractEvaluation eval : evaluations) {
if (evalIndex % reportFrecuency == 0) {
newXYSerie.add(eval.getLabeledSetSize(), eval.getMetricValue(metricName));
}
++evalIndex;
}
series.addSeries(newXYSerie);
}
}
// The series that belongs to passive learning is the last
if (passiveEvaluation != null) {
series.addSeries(createPassiveLearningSerie(metricName, evaluationsCollection.get(0)));
}
return series;
}
public PlotterXY(String chartTitle) {
setLayout(new BorderLayout());
mIdeal = new XYSeries("Ideal Position");
mReal = new XYSeries("Ideal Velocity");
mCollection = new XYSeriesCollection();
mCollection.addSeries(mIdeal);
mCollection.addSeries(mReal);
final JFreeChart chart =
ChartFactory.createXYLineChart(
chartTitle,
"X (Inches)",
"Y (Inches)",
mCollection,
PlotOrientation.VERTICAL,
true,
true,
false);
chart.setBackgroundPaint(Color.white);
m_chartPanel = new ChartPanel(chart);
m_chartPanel.setPreferredSize(new Dimension(400, 300));
m_chartPanel.setBackground(getBackground());
add(m_chartPanel, BorderLayout.CENTER);
}
private static XYDataset createDataset() {
XYSeries xyseries = new XYSeries("First");
xyseries.add(1.0D, 1.0D);
xyseries.add(2D, 4D);
xyseries.add(3D, 3D);
xyseries.add(4D, 5D);
xyseries.add(5D, 5D);
xyseries.add(6D, 7D);
xyseries.add(7D, 7D);
xyseries.add(8D, 8D);
XYSeries xyseries1 = new XYSeries("Second");
xyseries1.add(1.0D, 5D);
xyseries1.add(2D, 7D);
xyseries1.add(3D, 6D);
xyseries1.add(4D, 8D);
xyseries1.add(5D, 4D);
xyseries1.add(6D, 4D);
xyseries1.add(7D, 2D);
xyseries1.add(8D, 1.0D);
XYSeries xyseries2 = new XYSeries("Third");
xyseries2.add(3D, 4D);
xyseries2.add(4D, 3D);
xyseries2.add(5D, 2D);
xyseries2.add(6D, 3D);
xyseries2.add(7D, 6D);
xyseries2.add(8D, 3D);
xyseries2.add(9D, 4D);
xyseries2.add(10D, 3D);
XYSeriesCollection xyseriescollection = new XYSeriesCollection();
xyseriescollection.addSeries(xyseries);
xyseriescollection.addSeries(xyseries1);
xyseriescollection.addSeries(xyseries2);
return xyseriescollection;
}
private void crearImagen() {
XYSeries serie = new XYSeries("Serie");
Iterator<Double> iterator = ejercicio.getHistoricoSolucion().iterator();
for (int i = 0; i < ejercicio.getHistoricoSolucion().size(); i++) {
serie.add(i, iterator.next());
}
XYSeriesCollection coleccionSeries = new XYSeriesCollection();
coleccionSeries.addSeries(serie);
JFreeChart chart =
ChartFactory.createXYLineChart(
"Comportamiento Simulated Annealing",
"Ciclo",
"Solucion",
coleccionSeries,
PlotOrientation.VERTICAL,
false,
false,
true);
ChartPanel panel = new ChartPanel(chart);
panel.setMouseZoomable(true);
this.add(panel);
}
public void displayWithOtherSignals(
ArrayList<GeneralSignal> otherSignals, String title, boolean shapeVisible) {
JFreeChart chart;
XYSeriesCollection xyDataSet = new XYSeriesCollection(this.data);
for (int i = 0; i < otherSignals.size(); i++) {
xyDataSet.addSeries(otherSignals.get(i).getData());
}
chart =
ChartFactory.createXYLineChart(
title, // Title
"Abscissa", // X axis label
"Ordinate", // Y axis label
xyDataSet, // dataset
PlotOrientation.VERTICAL, // orientation
true, // legends
true, // tool tips
true); // urls
if (shapeVisible) {
XYPlot plot = (XYPlot) chart.getPlot();
XYItemRenderer r = plot.getRenderer();
if (r instanceof XYLineAndShapeRenderer) {
XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) r;
renderer.setSeriesShapesVisible(0, true);
renderer.setSeriesShapesFilled(0, true);
}
}
ChartFrame frame = new ChartFrame("Frame Title", chart);
frame.setVisible(true);
frame.setSize(512, 512);
}
public void execute() {
// TODO Auto-generated method stub
// simply get the environment datamodel
dmodel = (StaticEnvDataModel) sim.getEnvDataModel();
double infected = getPercentInfected(dmodel);
synchronized (this) {
XYSeries series;
try {
series = data.getSeries("infected");
series.add(dmodel.time, infected);
} catch (org.jfree.data.UnknownKeyException e) {
series = new XYSeries("infected");
data.addSeries(series);
series.add(dmodel.time, infected);
}
if (dmodel.time % 100 == 0) {
// this will cause the gui to update?
updateChart();
}
}
}
private boolean plotCorrectionData() {
plot3d.removeAllPlots();
XYSeries series;
XYPlot plot = chartPanel.getChart().getXYPlot();
XYSeriesCollection lineDataset = (XYSeriesCollection) plot.getDataset(0);
DecimalFormat df = new DecimalFormat(".00");
String val;
int i = 0;
int j = 0;
if (!Utils.isTableEmpty(corrTable)) {
try {
for (i = 1; i < corrTable.getColumnCount(); ++i) {
val = corrTable.getValueAt(0, i).toString();
series = new XYSeries(df.format(Double.valueOf(val)));
for (j = 1; j < corrTable.getRowCount(); ++j) {
if (corrTable.getValueAt(j, i) != null) {
val = corrTable.getValueAt(j, i).toString();
if (!val.isEmpty())
series.add(
Double.valueOf(corrTable.getValueAt(j, 0).toString()), Double.valueOf(val));
}
}
if (series.getItemCount() > 0) {
corrData.add(series);
series.setDescription(series.getKey().toString());
lineDataset.addSeries(series);
}
}
plot.getDomainAxis(0).setAutoRange(true);
plot.getRangeAxis(0).setAutoRange(true);
plot.getDomainAxis(0).setLabel(xAxisName);
plot.getRangeAxis(0).setLabel(yAxisName);
plot.getRenderer(0).setSeriesVisible(0, false);
double[] x = new double[xAxisArray.size()];
for (i = 0; i < xAxisArray.size(); ++i) x[i] = xAxisArray.get(i);
double[] y = new double[yAxisArray.size()];
for (i = 0; i < yAxisArray.size(); ++i) y[i] = yAxisArray.get(i);
double[][] z = Utils.doubleZArray(corrTable, x, y);
Color[][] colors = Utils.generateTableColorMatrix(corrTable, 1, 1);
plot3d.addGridPlot("Average Error % Plot", colors, x, y, z);
} catch (NumberFormatException e) {
logger.error(e);
JOptionPane.showMessageDialog(
null,
"Error parsing number from "
+ corrTableName
+ " table, cell("
+ i
+ " : "
+ j
+ "): "
+ e,
"Error",
JOptionPane.ERROR_MESSAGE);
return false;
}
}
return true;
}
/**
* A check for the datasetIndex and seriesIndex fields in the LegendItem returned by the
* getLegendItem() method.
*/
public void testGetLegendItemSeriesIndex() {
XYSeriesCollection d1 = new XYSeriesCollection();
XYSeries s1 = new XYSeries("S1");
s1.add(1.0, 1.1);
XYSeries s2 = new XYSeries("S2");
s2.add(1.0, 1.1);
d1.addSeries(s1);
d1.addSeries(s2);
XYSeriesCollection d2 = new XYSeriesCollection();
XYSeries s3 = new XYSeries("S3");
s3.add(1.0, 1.1);
XYSeries s4 = new XYSeries("S4");
s4.add(1.0, 1.1);
XYSeries s5 = new XYSeries("S5");
s5.add(1.0, 1.1);
d2.addSeries(s3);
d2.addSeries(s4);
d2.addSeries(s5);
XYDotRenderer r = new XYDotRenderer();
XYPlot plot = new XYPlot(d1, new NumberAxis("x"), new NumberAxis("y"), r);
plot.setDataset(1, d2);
/*JFreeChart chart =*/ new JFreeChart(plot);
LegendItem li = r.getLegendItem(1, 2);
assertEquals("S5", li.getLabel());
assertEquals(1, li.getDatasetIndex());
assertEquals(2, li.getSeriesIndex());
}
/**
* Creates and returns a sample dataset. The data was randomly generated.
*
* @return a sample dataset.
*/
private XYDataset createSampleData() {
XYSeries series = new XYSeries("Series 1");
series.add(2.0, 56.27);
series.add(3.0, 41.32);
series.add(4.0, 31.45);
series.add(5.0, 30.05);
series.add(6.0, 24.69);
series.add(7.0, 19.78);
series.add(8.0, 20.94);
series.add(9.0, 16.73);
series.add(10.0, 14.21);
series.add(11.0, 12.44);
XYSeriesCollection result = new XYSeriesCollection(series);
XYSeries series2 = new XYSeries("Series 2");
series2.add(11.0, 56.27);
series2.add(10.0, 41.32);
series2.add(9.0, 31.45);
series2.add(8.0, 30.05);
series2.add(7.0, 24.69);
series2.add(6.0, 19.78);
series2.add(5.0, 20.94);
series2.add(4.0, 16.73);
series2.add(3.0, 14.21);
series2.add(2.0, 12.44);
result.addSeries(series2);
return result;
}
public static ChartPanel getAvgRewardsChart(BotStatistic stats) {
XYSeriesCollection ds = new XYSeriesCollection();
LinkedList<BotSeries> series = new LinkedList<BotSeries>();
for (String botName : stats.getAllRewardedBotNames()) {
series.add(new BotSeries(new XYSeries(botName), 0, 0, botName));
}
String allName = "all RL";
int botsNum = stats.getAllRewardedBotNames().size();
series.add(new BotSeries(new XYSeries(allName), 0, 0, allName));
int segmentSize = stats.rewards.size() / avgRewardsChartSegments;
if (segmentSize < 1) {
segmentSize = 1;
}
int i = 0;
for (Reward k : stats.rewards) {
for (BotSeries s : series) {
if (k.botName.equals(s.botName)) {
s.d1 += k.reward;
}
}
i++;
if (i % segmentSize == 0) {
BotSeries as = series.getLast();
for (BotSeries s : series) {
if (s.botName.equals(as.botName)) continue;
s.series.add(k.time - segmentSize / 2 / 10, s.d1 / segmentSize);
as.d1 += s.d1;
s.d1 = 0;
}
as.series.add(k.time - segmentSize / 2 / 10, as.d1 / (botsNum * segmentSize));
as.d1 = 0;
}
}
for (BotSeries s : series) {
ds.addSeries(s.series);
}
JFreeChart c =
ChartFactory.createXYLineChart(
"avg reward gaining speed",
"time [s]",
"avg reward gaining speed",
ds,
PlotOrientation.VERTICAL,
true,
true,
true);
ChartPanel cp = new ChartPanel(c);
return cp;
}
/** Creates a dataset of type XYSeries */
public XYDataset convertDataSet() {
int size = 0; // Initialises a value for size
int sum = 0; // initialises a value for sum
int pos = 0; // initialises a value for position
int j = 0; // initialises a increment for the for loop
XYSeriesCollection dataset = new XYSeriesCollection();
XYSeries series = new XYSeries(super.GetTitle());
DataCell preVal = super.GetDataSet().GetCell(0, 0);
// Creates a new list for the found elements
super.m_foundElements = new ArrayList<String>();
for (int i = 0; i < super.GetDataSet().GetNumOfRows() - 1; i++) {
if (!super.isUnique(super.GetDataSet().GetCell(super.GetXColumnPosition(), i).toString())) {
for (j = pos; j < super.GetDataSet().GetNumOfRows() - 1; j++) {
if (preVal
.toString()
.equals(super.GetDataSet().GetCell(super.GetXColumnPosition(), j).toString())) {
// Check if datatype is a number
if (super.GetDataSet().GetCell(super.GetXColumnPosition(), j).GetDataType()
== DataType.INTEGER) {
sum += super.GetDataSet().GetCell(super.GetYColumnPosition(), j).GetInteger();
} else if (super.GetDataSet().GetCell(super.GetXColumnPosition(), j).GetDataType()
== DataType.DOUBLE) {
sum += super.GetDataSet().GetCell(super.GetYColumnPosition(), j).GetDouble();
}
}
}
super.m_foundElements.add(
super.GetDataSet().GetCell(super.GetXColumnPosition(), i).toString());
// Add to chart dataSet
series.add(sum, preVal.GetInteger());
preVal = super.GetDataSet().GetCell(super.GetXColumnPosition(), i++);
sum = 0; //
pos++;
}
}
for (j = pos; j < super.GetDataSet().GetNumOfRows() - 1; j++) {
if (super.m_foundElements
.get(super.m_foundElements.size() - 1)
.equals(super.GetDataSet().GetCell(super.GetXColumnPosition(), j).toString())) {
if (super.GetDataSet().GetCell(super.GetXColumnPosition(), j).GetDataType()
== DataType.INTEGER) {
sum += super.GetDataSet().GetCell(super.GetYColumnPosition(), j).GetInteger();
} else if (super.GetDataSet().GetCell(super.GetXColumnPosition(), j).GetDataType()
== DataType.DOUBLE) {
sum += super.GetDataSet().GetCell(super.GetYColumnPosition(), j).GetDouble();
}
}
}
series.add(sum, preVal.GetInteger());
dataset.addSeries(series);
return dataset;
}
@Override
protected void setChart() {
SeriesManager<Double, Double> sf = new SeriesManager<Double, Double>(intermediateData);
List<DataSeries<Double, Double>> seriesList = sf.getSeries();
DataSeries<Double, Double> series = seriesList.get(0);
List<SeriesPair<Double, Double>> values = series.getSeriesValues(Double.class, Double.class);
XYSeries deltaMassSeries = new XYSeries(series.getIdentifier());
for (SeriesPair<Double, Double> value : values) {
deltaMassSeries.add(value.getX(), value.getY());
}
XYSeriesCollection dataset = new XYSeriesCollection();
dataset.addSeries(deltaMassSeries);
chart =
ChartFactory.createXYLineChart(
getChartTitle(), // chart title
"Experimental m/z - Theoretical m/z", // x axis label
"Relative Frequency", // y axis label
dataset, // chartData
PlotOrientation.VERTICAL,
false, // include legend
true, // tooltips
false // urls
);
chart.addSubtitle(new TextTitle(getChartSubTitle()));
XYPlot plot = chart.getXYPlot();
plot.setDomainZeroBaselineVisible(true);
plot.setBackgroundAlpha(0f);
plot.setDomainGridlinePaint(Color.red);
plot.setRangeGridlinePaint(Color.blue);
}
private XYDataset createDataset(XYSeries data[]) {
XYSeriesCollection collection = new XYSeriesCollection();
for (XYSeries line : data) {
collection.addSeries(line);
}
return collection;
}
/**
* precondition : 'attribute' MUST contain number values only
*
* @param cases
* @param attribute
* @return DefaultXYDataset with all values of 'attribute' against event numbers or timestamps.
*/
private XYSeriesCollection getDataAttributes(
String[] attributes, boolean byTime, double timesize) {
XYSeriesCollection result = new XYSeriesCollection();
for (int index = 0; index < attributes.length; index++) {
String attribute = attributes[index];
Integer i = 0;
XYSeries row = new XYSeries(attribute);
for (ProcessInstance pi : mylog.getInstances()) {
Integer x = 0; // count event number
Date begin = pi.getAuditTrailEntries().first().getTimestamp(); // starting
// time
// of
// process
// instance
for (AuditTrailEntry ate : pi.getListOfATEs()) {
if (ate.getAttributes().containsKey(attribute)) {
Double val;
val = Double.valueOf(ate.getAttributes().get(attribute));
if (byTime) {
row.add(timediff(begin, ate.getTimestamp()) / timesize, val.doubleValue());
} else {
row.add(x.doubleValue(), val.doubleValue());
}
}
x++; // event number in case
}
i++; // case number
}
result.addSeries(row);
}
return result;
}
/**
* Creates a sample dataset.
*
* @param index the dataset index.
* @return A dataset.
*/
private XYDataset createDataset(int index) {
XYSeries series1 = new XYSeries("Series " + (index + 1));
series1.add(-10.0, -5.0);
series1.add(10.0, 5.0);
XYSeriesCollection dataset = new XYSeriesCollection();
dataset.addSeries(series1);
return dataset;
}
/** Sets the chart dataset */
private void refreshChartData() {
// Get all payoff history (put into readable format for series)
XYSeries payoffHistory = getUserPayoffData();
if (payoffHistory == null) return;
// Reupdate series
xySeriesCollection.removeAllSeries();
xySeriesCollection.addSeries(payoffHistory);
}
/**
* Creates a dataset.
*
* @return the dataset.
*/
public XYDataset createDataset(DataSequence ds, String label) {
XYSeries observations = new XYSeries(label);
int n = ds.size();
for (int i = 0; i < n; i++) {
observations.add(i, ds.get(i).value);
}
XYSeriesCollection collection = new XYSeriesCollection();
collection.addSeries(observations);
return collection;
}
/** Creates a float[] time-series */
public XYDataset createDataset(Float[] ds, String label) {
XYSeries observations = new XYSeries(label);
int n = ds.length;
for (int i = 0; i < n; i++) {
observations.add(i, ds[i]);
}
XYSeriesCollection collection = new XYSeriesCollection();
collection.addSeries(observations);
return collection;
}
public double highestPeak() {
double max = data.getSeries(0).getDataItem(0).getY().doubleValue();
for (int i = 0; i < data.getSeriesCount(); i++)
for (int j = 0; j < data.getSeries(i).getItemCount(); j++) {
if (data.getSeries(i).getDataItem(j).getY().doubleValue() > max) {
max = data.getSeries(i).getDataItem(j).getY().doubleValue();
}
}
return max;
}
@Override
public void writeGraphFiles(BenchmarkReport benchmarkReport) {
List<Map<String, XYSeries>> constraintIdToWeightSeriesMapList =
new ArrayList<Map<String, XYSeries>>(BenchmarkReport.CHARTED_SCORE_LEVEL_SIZE);
for (ConstraintMatchTotalStepScoreStatisticPoint point : getPointList()) {
int scoreLevel = point.getScoreLevel();
if (scoreLevel >= BenchmarkReport.CHARTED_SCORE_LEVEL_SIZE) {
continue;
}
while (scoreLevel >= constraintIdToWeightSeriesMapList.size()) {
constraintIdToWeightSeriesMapList.add(new LinkedHashMap<String, XYSeries>());
}
Map<String, XYSeries> constraintIdToWeightSeriesMap =
constraintIdToWeightSeriesMapList.get(scoreLevel);
if (constraintIdToWeightSeriesMap == null) {
constraintIdToWeightSeriesMap = new LinkedHashMap<String, XYSeries>();
constraintIdToWeightSeriesMapList.set(scoreLevel, constraintIdToWeightSeriesMap);
}
String constraintId = point.getConstraintPackage() + ":" + point.getConstraintName();
XYSeries weightSeries = constraintIdToWeightSeriesMap.get(constraintId);
if (weightSeries == null) {
weightSeries = new XYSeries(point.getConstraintName() + " weight");
constraintIdToWeightSeriesMap.put(constraintId, weightSeries);
}
long timeMillisSpent = point.getTimeMillisSpent();
weightSeries.add(timeMillisSpent, point.getWeightTotal());
}
graphFileList = new ArrayList<File>(constraintIdToWeightSeriesMapList.size());
for (int scoreLevelIndex = 0;
scoreLevelIndex < constraintIdToWeightSeriesMapList.size();
scoreLevelIndex++) {
XYPlot plot = createPlot(benchmarkReport, scoreLevelIndex);
// No direct ascending lines between 2 points, but a stepping line instead
XYItemRenderer renderer = new XYStepRenderer();
plot.setRenderer(renderer);
XYSeriesCollection seriesCollection = new XYSeriesCollection();
for (XYSeries series : constraintIdToWeightSeriesMapList.get(scoreLevelIndex).values()) {
seriesCollection.addSeries(series);
}
plot.setDataset(seriesCollection);
JFreeChart chart =
new JFreeChart(
singleBenchmarkResult.getName()
+ " constraint match total step score diff level "
+ scoreLevelIndex
+ " statistic",
JFreeChart.DEFAULT_TITLE_FONT,
plot,
true);
graphFileList.add(
writeChartToImageFile(
chart, "ConstraintMatchTotalStepScoreStatisticLevel" + scoreLevelIndex));
}
}
private XYDataset createDataset(Review[] reviews) {
XYSeries series = new XYSeries("Ratings");
for (int i = 0; i < reviews.length; i++) {
series.add(new XYDataItem(i, reviews[i].getRating()));
}
XYSeriesCollection dataset = new XYSeriesCollection();
dataset.addSeries(series);
return dataset;
}
public static JPanel createDemoPanel(int[] arvud) {
XYSeries xyseries = new XYSeries("Täidetud mälublokid");
for (int i = 0; i < arvud.length; i++) {
xyseries.add(i, arvud[i]);
}
XYSeriesCollection xyseriescollection = new XYSeriesCollection();
xyseriescollection.addSeries(xyseries);
JFreeChart jfreechart = createChart(xyseriescollection);
return new ChartPanel(jfreechart);
}
public static XYSeriesCollection getCustomXYSeriesCollection(String xAxisName, String yAxisName) {
StatisticalPackageRunner runner = DBSeerGUI.runner;
runner.eval(
"[Xdata Ydata] = plotter.plotCustom('"
+ DBSeerPlotControlPanel.axisMap.get(xAxisName)
+ "', '"
+ DBSeerPlotControlPanel.axisMap.get(yAxisName)
+ "');");
Object[] xCellArray = (Object[]) runner.getVariableCell("Xdata");
Object[] yCellArray = (Object[]) runner.getVariableCell("Ydata");
XYSeriesCollection dataSet = new XYSeriesCollection();
int numXCellArray = xCellArray.length;
int numYCellArray = yCellArray.length;
if (numXCellArray != numYCellArray) {
JOptionPane.showMessageDialog(
null,
"The number of X dataset and Y dataset does not match.",
"The number of X dataset and Y dataset does not match.",
JOptionPane.ERROR_MESSAGE);
System.out.println(numXCellArray + " : " + numYCellArray);
return null;
}
for (int i = 0; i < numYCellArray; ++i) {
double[] xArray = (double[]) xCellArray[i];
runner.eval("yArraySize = size(Ydata{" + (i + 1) + "});");
runner.eval("yArray = Ydata{" + (i + 1) + "};");
double[] yArraySize = runner.getVariableDouble("yArraySize");
double[] yArray = runner.getVariableDouble("yArray");
int xLength = xArray.length;
int row = (int) yArraySize[0];
int col = (int) yArraySize[1];
for (int c = 0; c < col; ++c) {
XYSeries series = new XYSeries(yAxisName);
for (int r = 0; r < row; ++r) {
int xRow = (r >= xLength) ? xLength - 1 : r;
series.add(xArray[xRow], yArray[r + c * row]);
}
dataSet.addSeries(series);
}
}
return dataSet;
}
public static ChartPanel getKillsPerEachDeathByBotType(BotStatistic stats) {
XYSeriesCollection ds = new XYSeriesCollection();
LinkedList<BotSeries> series = new LinkedList<BotSeries>();
for (String botName : stats.getAllBotFamilies()) {
series.add(new BotSeries(new XYSeries(botName), 0, 0, botName));
}
for (BotSeries s : series) {
s.series.add(0, 0);
s.d1 = StatsTools.countBotsOfGivenFamilly(s.botName, stats);
}
for (Kill k : stats.kills) {
for (BotSeries s : series) {
if (k.killer.startsWith(s.botName) || k.victim.startsWith(s.botName)) {
if (k.killer.startsWith(s.botName)) {
s.int1++;
}
if (k.victim.startsWith(s.botName)) {
s.int2++;
}
float val = 0;
if (s.int2 != 0) {
val = (float) s.int1 / (float) s.int2;
}
s.series.add(k.time / 10, val / s.d1);
}
}
}
for (BotSeries s : series) {
ds.addSeries(s.series);
}
JFreeChart c =
ChartFactory.createXYLineChart(
"Kills per each death by bot type in time",
"time [s]",
"kills / deaths",
ds,
PlotOrientation.VERTICAL,
true,
true,
true);
ChartPanel cp = new ChartPanel(c);
return cp;
}
/**
* Creates a sample dataset.
*
* @return A sample dataset.
*/
private IntervalXYDataset createDataset(double[][] dataMatrix, String[] names) {
final XYSeriesCollection dataset = new XYSeriesCollection();
for (int fitResultPos = 0; fitResultPos < dataMatrix.length; fitResultPos++) {
final XYSeries series = new XYSeries(names[fitResultPos]);
for (int fitPos = 0; fitPos < dataMatrix[fitResultPos].length; fitPos++) {
series.add((double) fitPos, dataMatrix[fitResultPos][fitPos]);
}
dataset.addSeries(series);
}
return dataset;
}
private XYDataset createDataset(final List<Coordinates>... lists) {
final XYSeriesCollection dataset = new XYSeriesCollection();
int i = 0;
for (final List<Coordinates> list : lists) {
final XYSeries xySeries = new XYSeries(i);
for (final Coordinates coordinates : list) {
xySeries.add(coordinates.getFirst(), coordinates.getSecond());
}
dataset.addSeries(xySeries);
i++;
}
return dataset;
}
