List of usage examples for org.jfree.data.time TimeSeries getRawDataItem
TimeSeriesDataItem getRawDataItem(RegularTimePeriod period)
From source file:org.jfree.data.time.MovingAverage.java
/** * Creates a new {@link TimeSeries} containing moving average values for * the given series, calculated by number of points (irrespective of the * 'age' of those points). If the series is empty (contains zero items), * the result is an empty series./* w w w. j ava 2 s . com*/ * <p> * Developed by Benoit Xhenseval (www.ObjectLab.co.uk). * * @param source the source series. * @param name the name of the new series. * @param pointCount the number of POINTS used in the average calculation * (not periods!) * * @return The moving average series. */ public static TimeSeries createPointMovingAverage(TimeSeries source, String name, int pointCount) { ParamChecks.nullNotPermitted(source, "source"); if (pointCount < 2) { throw new IllegalArgumentException("periodCount must be greater " + "than or equal to 2."); } TimeSeries result = new TimeSeries(name); double rollingSumForPeriod = 0.0; for (int i = 0; i < source.getItemCount(); i++) { // get the current data item... TimeSeriesDataItem current = source.getRawDataItem(i); RegularTimePeriod period = current.getPeriod(); // FIXME: what if value is null on next line? rollingSumForPeriod += current.getValue().doubleValue(); if (i > pointCount - 1) { // remove the point i-periodCount out of the rolling sum. TimeSeriesDataItem startOfMovingAvg = source.getRawDataItem(i - pointCount); rollingSumForPeriod -= startOfMovingAvg.getValue().doubleValue(); result.add(period, rollingSumForPeriod / pointCount); } else if (i == pointCount - 1) { result.add(period, rollingSumForPeriod / pointCount); } } return result; }
From source file:org.jfree.data.time.MovingAverage.java
/** * Creates a new {@link TimeSeries} containing moving average values for * the given series. If the series is empty (contains zero items), the * result is an empty series.//from w w w . j a v a2 s .co m * * @param source the source series. * @param name the name of the new series. * @param periodCount the number of periods used in the average * calculation. * @param skip the number of initial periods to skip. * * @return The moving average series. */ public static TimeSeries createMovingAverage(TimeSeries source, String name, int periodCount, int skip) { ParamChecks.nullNotPermitted(source, "source"); if (periodCount < 1) { throw new IllegalArgumentException("periodCount must be greater " + "than or equal to 1."); } TimeSeries result = new TimeSeries(name); if (source.getItemCount() > 0) { // if the initial averaging period is to be excluded, then // calculate the index of the // first data item to have an average calculated... long firstSerial = source.getTimePeriod(0).getSerialIndex() + skip; for (int i = source.getItemCount() - 1; i >= 0; i--) { // get the current data item... RegularTimePeriod period = source.getTimePeriod(i); long serial = period.getSerialIndex(); if (serial >= firstSerial) { // work out the average for the earlier values... int n = 0; double sum = 0.0; long serialLimit = period.getSerialIndex() - periodCount; int offset = 0; boolean finished = false; while ((offset < periodCount) && (!finished)) { if ((i - offset) >= 0) { TimeSeriesDataItem item = source.getRawDataItem(i - offset); RegularTimePeriod p = item.getPeriod(); Number v = item.getValue(); long currentIndex = p.getSerialIndex(); if (currentIndex > serialLimit) { if (v != null) { sum = sum + v.doubleValue(); n = n + 1; } } else { finished = true; } } offset = offset + 1; } if (n > 0) { result.add(period, sum / n); } else { result.add(period, null); } } } } return result; }
From source file:org.jfree.data.time.TimeSeries.java
/** * Adds or updates data from one series to another. Returns another series * containing the values that were overwritten. * * @param series the series to merge with this. * * @return A series containing the values that were overwritten. *///from w ww . j av a2 s.c o m public TimeSeries addAndOrUpdate(TimeSeries series) { TimeSeries overwritten = new TimeSeries("Overwritten values from: " + getKey()); for (int i = 0; i < series.getItemCount(); i++) { TimeSeriesDataItem item = series.getRawDataItem(i); TimeSeriesDataItem oldItem = addOrUpdate(item.getPeriod(), item.getValue()); if (oldItem != null) { overwritten.add(oldItem); } } return overwritten; }