/**
* Creates a new axis.
*
* @param label the axis label (<code>null</code> permitted).
* @param first the first time period in the axis range (<code>null</code> not permitted).
* @param last the last time period in the axis range (<code>null</code> not permitted).
* @param timeZone the time zone (<code>null</code> not permitted).
* @param locale the locale (<code>null</code> not permitted).
* @since 1.0.13
*/
public PeriodAxis(
String label,
RegularTimePeriod first,
RegularTimePeriod last,
TimeZone timeZone,
Locale locale) {
super(label, null);
if (timeZone == null) {
throw new IllegalArgumentException("Null 'timeZone' argument.");
}
if (locale == null) {
throw new IllegalArgumentException("Null 'locale' argument.");
}
this.first = first;
this.last = last;
this.timeZone = timeZone;
this.locale = locale;
this.calendar = Calendar.getInstance(timeZone, locale);
this.first.peg(this.calendar);
this.last.peg(this.calendar);
this.autoRangeTimePeriodClass = first.getClass();
this.majorTickTimePeriodClass = first.getClass();
this.minorTickMarksVisible = false;
this.minorTickTimePeriodClass = RegularTimePeriod.downsize(this.majorTickTimePeriodClass);
setAutoRange(true);
this.labelInfo = new PeriodAxisLabelInfo[2];
this.labelInfo[0] = new PeriodAxisLabelInfo(Month.class, new SimpleDateFormat("MMM", locale));
this.labelInfo[1] = new PeriodAxisLabelInfo(Year.class, new SimpleDateFormat("yyyy", locale));
}
/**
* Adds a data item to the series.
*
* @param period the period.
* @param open the open-value.
* @param high the high-value.
* @param low the low-value.
* @param close the close-value.
*/
public void add(RegularTimePeriod period, double open, double high, double low, double close) {
if (getItemCount() > 0) {
OHLCItem item0 = (OHLCItem) this.getDataItem(0);
if (!period.getClass().equals(item0.getPeriod().getClass())) {
throw new IllegalArgumentException("Can't mix RegularTimePeriod class types.");
}
}
super.add(new OHLCItem(period, open, high, low, close), true);
}
/**
* Adds a data item to the series.
*
* @param period the period.
* @param stochasticOscillator the StochasticOscillator.
*/
public void add(RegularTimePeriod period, BigDecimal stochasticOscillator) {
if (!this.isEmpty()) {
StochasticOscillatorItem item0 = (StochasticOscillatorItem) this.getDataItem(0);
if (!period.getClass().equals(item0.getPeriod().getClass())) {
throw new IllegalArgumentException("Can't mix RegularTimePeriod class types.");
}
}
super.add(new StochasticOscillatorItem(period, stochasticOscillator), true);
}
/**
* Adds a data item to the series.
*
* @param period the period.
* @param MACD the MACD.
*/
public void add(
RegularTimePeriod period, BigDecimal MACD, BigDecimal signalLine, BigDecimal MACDHistogram) {
if (!this.isEmpty()) {
MACDItem item0 = (MACDItem) this.getDataItem(0);
if (!period.getClass().equals(item0.getPeriod().getClass())) {
throw new IllegalArgumentException("Can't mix RegularTimePeriod class types.");
}
}
super.add(new MACDItem(period, MACD, signalLine, MACDHistogram), true);
}
/**
* Creates the demo chart.
*
* @return The chart.
* <p>private JFreeChart createChart() {
* <p>XYDataset dataset1 = createDataset("Series 1", 100.0, new Minute(), 200);
* <p>JFreeChart chart = ChartFactory.createTimeSeriesChart( "Multiple Axis Demo 1", "Time of
* Day", "Primary Range Axis", dataset1, true, true, false );
* <p>chart.addSubtitle(new TextTitle("Four datasets and four range axes.")); XYPlot plot =
* (XYPlot) chart.getPlot(); plot.setOrientation(PlotOrientation.VERTICAL);
* <p>plot.getRangeAxis().setFixedDimension(15.0);
* <p>// AXIS 2 NumberAxis axis2 = new NumberAxis("Range Axis 2");
* axis2.setFixedDimension(10.0); axis2.setAutoRangeIncludesZero(false); plot.setRangeAxis(1,
* axis2); plot.setRangeAxisLocation(1, AxisLocation.BOTTOM_OR_LEFT);
* <p>XYDataset dataset2 = createDataset("Series 2", 1000.0, new Minute(), 170);
* plot.setDataset(1, dataset2); plot.mapDatasetToRangeAxis(1, 1); XYItemRenderer renderer2 =
* new StandardXYItemRenderer(); plot.setRenderer(1, renderer2);
* <p>// AXIS 3 NumberAxis axis3 = new NumberAxis("Range Axis 3"); plot.setRangeAxis(2,
* axis3);
* <p>XYDataset dataset3 = createDataset("Series 3", 10000.0, new Minute(), 170);
* plot.setDataset(2, dataset3); plot.mapDatasetToRangeAxis(2, 2); XYItemRenderer renderer3 =
* new StandardXYItemRenderer(); plot.setRenderer(2, renderer3);
* <p>// AXIS 4 NumberAxis axis4 = new NumberAxis("Range Axis 4"); plot.setRangeAxis(3,
* axis4);
* <p>XYDataset dataset4 = createDataset("Series 4", 25.0, new Minute(), 200);
* plot.setDataset(3, dataset4); plot.mapDatasetToRangeAxis(3, 3);
* <p>XYItemRenderer renderer4 = new StandardXYItemRenderer(); plot.setRenderer(3, renderer4);
* <p>ChartUtilities.applyCurrentTheme(chart);
* <p>// change the series and axis colours after the theme has // been applied...
* plot.getRenderer().setSeriesPaint(0, Color.black); renderer2.setSeriesPaint(0, Color.red);
* axis2.setLabelPaint(Color.red); axis2.setTickLabelPaint(Color.red);
* renderer3.setSeriesPaint(0, Color.blue); axis3.setLabelPaint(Color.blue);
* axis3.setTickLabelPaint(Color.blue); renderer4.setSeriesPaint(0, Color.green);
* axis4.setLabelPaint(Color.green); axis4.setTickLabelPaint(Color.green);
* <p>return chart; }
* <p>/** Creates a sample dataset.
* @param name the dataset name.
* @param base the starting value.
* @param start the starting period.
* @param count the number of values to generate.
* @return The dataset.
*/
private static TimeSeries createDataset(
String name, double base, RegularTimePeriod start, int count) {
TimeSeries series = new TimeSeries(name, start.getClass());
RegularTimePeriod period = start;
double value = base;
for (int i = 0; i < count; i++) {
series.add(period, value);
period = period.next();
value = value * (1 + (Math.random() - 0.495) / 10.0);
}
return series;
}
/**
* Creates a sample dataset.
*
* @param name the dataset name.
* @param base the starting value.
* @param start the starting period.
* @param count the number of values to generate.
* @return The dataset.
*/
private XYDataset createDataset(String name, double base, RegularTimePeriod start, int count) {
this.series = new TimeSeries(name, start.getClass());
RegularTimePeriod period = start;
double value = base;
for (int i = 0; i < count; i++) {
this.series.add(period, value);
period = period.next();
value = value * (1 + (Math.random() - 0.495) / 10.0);
}
TimeSeriesCollection dataset = new TimeSeriesCollection();
dataset.addSeries(this.series);
return dataset;
}
/**
* Tests the correct output of a DataSet to a TimeSeries by outputting it, then iterating through
* TimeSeries object checking the correct values were stored/output.
*/
public void testOutput()
throws ClassNotFoundException, NoSuchMethodException, InstantiationException,
IllegalAccessException, InvocationTargetException, InstantiationException {
// Constants used to determine size of test
int NUMBER_OF_TIME_PERIODS = 10;
String TIME_VARIABLE = "t";
// Set up array for expected results
double expectedValue[] = new double[NUMBER_OF_TIME_PERIODS];
// We'll set up periods starting from today
RegularTimePeriod period = new Day();
// Create a test DataSet for output
// - note that only one independent variable (the time variable)
// will be output. This is expected.
DataSet dataSet = new DataSet();
dataSet.setTimeVariable(TIME_VARIABLE);
for (int d = 0; d < NUMBER_OF_TIME_PERIODS; d++) {
double value = (double) d;
DataPoint obs = new Observation(value);
obs.setIndependentValue(TIME_VARIABLE, period.getMiddleMillisecond());
dataSet.add(obs);
period = period.next();
expectedValue[d] = value;
}
assertEquals(
"Checking only one independent variable exists in dataSet",
1,
dataSet.getIndependentVariables().length);
assertEquals(
"Checking dataSet has correct number of entries", NUMBER_OF_TIME_PERIODS, dataSet.size());
// Create TimeSeriesOutputter and use it to output dataSet
TimeSeries timeSeries = new TimeSeries("test");
TimeSeriesOutputter outputter = new TimeSeriesOutputter(timeSeries, period.getClass());
outputter.output(dataSet);
assertEquals(
"Checking number of items in time series",
NUMBER_OF_TIME_PERIODS,
timeSeries.getItemCount());
// Reset period to start checking from today onwards
period = new Day();
for (int d = 0; d < NUMBER_OF_TIME_PERIODS; d++) {
TimeSeriesDataItem dataItem = timeSeries.getDataItem(d);
period = dataItem.getPeriod();
assertNotNull("Checking time period", period);
long timeValue = period.getMiddleMillisecond();
assertTrue(
"Checking time periods match",
(double) timeValue >= period.getFirstMillisecond()
&& (double) timeValue <= period.getLastMillisecond());
assertEquals(
"Checking values for period " + dataItem.getPeriod() + " match",
expectedValue[d],
dataItem.getValue().doubleValue(),
TOLERANCE);
period = period.next();
}
}
private void addData(
JFreeChart chart,
DSLAMSource source,
Timeinterval time,
Serializable filter,
Properties properties,
Map<String, Object> colorScheme,
Properties outputProperties)
throws IOException {
if (chart != null) {
PerformanceCounterDataCollection cData = null;
long dataSize = 0;
try {
cData =
getPerformanceCounterDataCollection(source, time, filter, properties, outputProperties);
Collection<PerformanceCounterData> data = null;
Date d0 = null; // first timestamp for data
Date d1 = null; // last timestamp for data
RegularTimePeriod time0 = null;
if (cData != null) {
data = cData.getData();
{
int l = data.size();
outputProperties.setProperty("data.count", Integer.toString(l));
}
if (data != null && data.size() > 0) {
dataSize = data.size();
// Set 'd0':
{
// TODO: Avoid assumption "data is sorted"!
PerformanceCounterData e = data.iterator().next();
d0 = e.getTimestamp();
}
// Set 'd1':
{
// TODO: Avoid assumption "data is sorted"!
for (PerformanceCounterData e : data) {
d1 = e.getTimestamp();
}
}
time0 = createRegularTimePeriod(d0);
}
}
XYPlot plot = chart.getXYPlot();
// Set the first dataset:
{
TimeSeriesCollection dataset = new TimeSeriesCollection();
List<Paint> seriesPaint = new ArrayList<Paint>();
List<Stroke> seriesStroke = new ArrayList<Stroke>();
// Add series 'ES':
{
if (data != null && data.size() > 0) {
TimeSeries series = new TimeSeries("ES", time0.getClass());
for (PerformanceCounterData e : data) {
Date d = e.getTimestamp();
RegularTimePeriod timePeriod = createRegularTimePeriod(d);
// Add point:
{
int value = getES(e);
addOrUpdate(series, timePeriod, (double) value);
}
}
seriesPaint.add((Paint) colorScheme.get("color.counter.es"));
seriesStroke.add(STROKE_COUNTER_ES);
dataset.addSeries(series);
}
}
// Add series 'SES':
{
if (data != null && data.size() > 0) {
TimeSeries series = new TimeSeries("SES", time0.getClass());
for (PerformanceCounterData e : data) {
Date d = e.getTimestamp();
RegularTimePeriod timePeriod = createRegularTimePeriod(d);
// Add point:
{
int value = getSES(e);
addOrUpdate(series, timePeriod, (double) value);
}
}
seriesPaint.add((Paint) colorScheme.get("color.counter.ses"));
seriesStroke.add(STROKE_COUNTER_SES);
dataset.addSeries(series);
}
}
// Add series 'US':
{
if (data != null && data.size() > 0) {
TimeSeries series = new TimeSeries("US", time0.getClass());
for (PerformanceCounterData e : data) {
Date d = e.getTimestamp();
RegularTimePeriod timePeriod = createRegularTimePeriod(d);
// Add point:
{
int value = getUS(e);
addOrUpdate(series, timePeriod, (double) value);
}
}
seriesPaint.add((Paint) colorScheme.get("color.counter.us"));
seriesStroke.add(STROKE_COUNTER_US);
dataset.addSeries(series);
}
}
// superspeed
{
if (data != null && data.size() > 0) {
TimeSeries series = new TimeSeries("LEFTRS", time0.getClass());
for (PerformanceCounterData e : data) {
Date d = e.getTimestamp();
RegularTimePeriod timePeriod = createRegularTimePeriod(d);
{
int value = getPreviousLEFTRS(e);
addOrUpdate(series, timePeriod, (double) value);
}
}
seriesPaint.add((Paint) colorScheme.get("color.counter.previousleftrs"));
seriesStroke.add(STROKE_COUNTER_US);
dataset.addSeries(series);
}
}
// ends
{
if (data != null && data.size() > 0) {
boolean showLinearCurve = getShowLinearCurve();
if (showLinearCurve) {
// Add series for a linear curve:
{
TimeSeries series = new TimeSeries("Linear", time0.getClass());
long t0 = d0.getTime();
long t1 = d1.getTime();
if (t0 < t1) {
long timeX = 15 * 60 * 1000; // 15 minutes intervals
// TODO: Read length of intervals from obtained data!
double value0 = 0;
double value1 = 900;
// TODO: Read '900' from obtained data!
long timeDelta = t1 - t0;
double valueDelta = value1 - value0;
long t = t0;
int i = 0;
while (t <= t1) {
Date d = new Date(t);
RegularTimePeriod timePeriod = createRegularTimePeriod(d);
double value = value0 + ((t - t0) * valueDelta) / timeDelta;
// Add point:
{
addOrUpdate(series, timePeriod, (double) value);
}
t += timeX;
i += 1;
}
}
seriesPaint.add(Color.red);
seriesStroke.add(STROKE_COUNTER_DEFAULT);
dataset.addSeries(series);
}
}
}
}
setDefaultRenderer(chart, colorScheme, 0, seriesPaint, seriesStroke);
plot.setDataset(0, dataset);
plot.mapDatasetToRangeAxis(0, 0);
}
} finally {
if (cData != null) {
cData.dispose();
cData = null;
}
}
if (outputProperties != null) {
outputProperties.setProperty("data.count", Long.toString(dataSize));
}
}
}
