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/*
* Copyright (c) 2017 Jacob Rachiele
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of this software
* and associated documentation files (the "Software"), to deal in the Software without restriction
* including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense
* and/or sell copies of the Software, and to permit persons to whom the Software is furnished to
* do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or
* substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
* PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
* USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* Contributors:
*
* Jacob Rachiele
*/
package com.github.signaflo.data.visualization;
import com.google.common.primitives.Doubles;
import com.github.signaflo.data.DataSet;
import org.knowm.xchart.XChartPanel;
import org.knowm.xchart.XYChart;
import org.knowm.xchart.XYChartBuilder;
import org.knowm.xchart.XYSeries;
import org.knowm.xchart.style.Styler;
import org.knowm.xchart.style.lines.SeriesLines;
import org.knowm.xchart.style.markers.Circle;
import org.knowm.xchart.style.markers.SeriesMarkers;
import com.github.signaflo.timeseries.TimeSeries;
import javax.swing.*;
import java.awt.*;
import java.time.OffsetDateTime;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import static com.github.signaflo.math.operations.DoubleFunctions.round;
/**
* Static methods for producing plots.
*
* @author Jacob Rachiele
* Mar. 19, 2017
*/
public class Plots {
private Plots() {
}
/**
* Plot a time series, connecting the observation times to the measurements.
*
* @param timeSeries the series to plot.
*/
public static void plot(final TimeSeries timeSeries) {
plot(timeSeries, "Time Series Plot");
}
/**
* Plot a time series, connecting the observation times to the measurements.
*
* @param timeSeries the series to plot.
* @param title the title of the plot.
*/
public static void plot(final TimeSeries timeSeries, final String title) {
plot(timeSeries, title, "values");
}
/**
* Plot a time series, connecting the observation times to the measurements.
*
* @param timeSeries the series to plot.
* @param title the title of the plot.
* @param seriesName the name of the series to display.
*/
public static void plot(final TimeSeries timeSeries, final String title, final String seriesName) {
Thread plotThread = new Thread(() -> {
final List xAxis = new ArrayList<>(timeSeries.observationTimes().size());
for (OffsetDateTime dateTime : timeSeries.observationTimes()) {
xAxis.add(Date.from(dateTime.toInstant()));
}
List seriesList = Doubles.asList(round(timeSeries.asArray(), 2));
final XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2)
.height(600)
.width(800)
.title(title)
.build();
XYSeries residualSeries = chart.addSeries(seriesName, xAxis, seriesList);
residualSeries.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);
residualSeries.setMarker(new Circle()).setMarkerColor(Color.RED);
JPanel panel = new XChartPanel<>(chart);
JFrame frame = new JFrame(title);
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
frame.add(panel);
frame.pack();
frame.setVisible(true);
});
plotThread.start();
}
/**
* Plot the sample autocorrelations of the given time series up to the given lag.
*
* @param timeSeries the series to plot.
* @param k the maximum lag to include in the acf plot.
*/
public static void plotAcf(TimeSeries timeSeries, final int k) {
final double[] acf = timeSeries.autoCorrelationUpToLag(k);
final double[] lags = new double[k + 1];
for (int i = 1; i < lags.length; i++) {
lags[i] = i;
}
final double upper = (-1 / timeSeries.size()) + (2 / Math.sqrt(timeSeries.size()));
final double lower = (-1 / timeSeries.size()) - (2 / Math.sqrt(timeSeries.size()));
final double[] upperLine = new double[lags.length];
final double[] lowerLine = new double[lags.length];
for (int i = 0; i < lags.length; i++) {
upperLine[i] = upper;
}
for (int i = 0; i < lags.length; i++) {
lowerLine[i] = lower;
}
Thread plotThread = new Thread(() -> {
XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2)
.height(800)
.width(1200)
.title("Autocorrelations By Lag")
.build();
XYSeries series = chart.addSeries("Autocorrelation", lags, acf);
XYSeries series2 = chart.addSeries("Upper Bound", lags, upperLine);
XYSeries series3 = chart.addSeries("Lower Bound", lags, lowerLine);
chart.getStyler()
.setChartFontColor(Color.BLACK)
.setSeriesColors(new Color[]{Color.BLACK, Color.BLUE, Color.BLUE});
series.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter);
series2.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Line)
.setMarker(SeriesMarkers.NONE)
.setLineStyle(SeriesLines.DASH_DASH);
series3.setXYSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Line)
.setMarker(SeriesMarkers.NONE)
.setLineStyle(SeriesLines.DASH_DASH);
JPanel panel = new XChartPanel<>(chart);
JFrame frame = new JFrame("Autocorrelation by Lag");
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
frame.add(panel);
frame.pack();
frame.setVisible(true);
});
plotThread.start();
}
/**
* Plot a data set. This method will produce a scatter plot of the data values against the integers
* from 0 to n - 1, where n is the size of the data set.
*
* @param dataSet the data set to plot.
*/
public static void plot(final DataSet dataSet) {
Thread plotThread = new Thread(() -> {
final double[] indices = new double[dataSet.size()];
for (int i = 0; i < indices.length; i++) {
indices[i] = i;
}
XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2).
title("Scatter Plot").xAxisTitle("Index").yAxisTitle("Values").build();
chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter).
setChartFontColor(Color.BLACK).setSeriesColors(new Color[]{Color.BLUE});
chart.addSeries("com/github/signaflo/data", indices, dataSet.asArray());
JPanel panel = new XChartPanel<>(chart);
JFrame frame = new JFrame("Data Set");
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
frame.add(panel);
frame.pack();
frame.setVisible(true);
});
plotThread.start();
}
/**
* Plot the first data set against the second data set. The first data set will be plotted on the x-axis, while
* the second data set will be plotted on the y-axis.
*
* @param firstDataSet the data set to plot on the x-axis.
* @param secondDataSet the data set to plot against the first data set.
*/
public static void plot(final DataSet firstDataSet, final DataSet secondDataSet) {
Thread plotThread = new Thread(() -> {
XYChart chart = new XYChartBuilder().theme(Styler.ChartTheme.GGPlot2)
.height(600)
.width(800)
.title("Scatter Plot")
.xAxisTitle("X")
.yAxisTitle("Y")
.build();
chart.getStyler().setDefaultSeriesRenderStyle(XYSeries.XYSeriesRenderStyle.Scatter).
setChartFontColor(Color.DARK_GRAY).setSeriesColors(new Color[]{Color.BLUE});
chart.addSeries("Y against X", firstDataSet.asArray(), secondDataSet.asArray());
JPanel panel = new XChartPanel<>(chart);
JFrame frame = new JFrame("Scatter Plot");
frame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
frame.add(panel);
frame.pack();
frame.setVisible(true);
});
plotThread.start();
}
}
