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smile.plot.swing.ScatterPlot Maven / Gradle / Ivy
/*
* Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Smile is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Smile. If not, see .
*/
package smile.plot.swing;
import java.awt.Color;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import smile.data.DataFrame;
import smile.math.MathEx;
/**
* The data is displayed as a collection of points.
*
* @author Haifeng Li
*/
public class ScatterPlot extends Plot {
/**
* The set of points which may have different marks and/or colors.
*/
final Point[] points;
/**
* The legends of each point group.
*/
final Optional legends;
/**
* Constructor.
*/
public ScatterPlot(Point... points) {
this.points = points;
legends = Optional.empty();
}
/**
* Constructor.
*/
public ScatterPlot(Point[] points, Legend[] legends) {
this.points = points;
this.legends = Optional.of(legends);
}
@Override
public void paint(Graphics g) {
for (Point point : points) {
point.paint(g);
}
}
@Override
public Optional legends() {
return legends;
}
@Override
public double[] getLowerBound() {
double[] bound = MathEx.colMin(points[0].points);
for (int k = 1; k < points.length; k++) {
for (double[] x : points[k].points) {
for (int i = 0; i < x.length; i++) {
if (bound[i] > x[i]) {
bound[i] = x[i];
}
}
}
}
return bound;
}
@Override
public double[] getUpperBound() {
double[] bound = MathEx.colMax(points[0].points);
for (int k = 1; k < points.length; k++) {
for (double[] x : points[k].points) {
for (int i = 0; i < x.length; i++) {
if (bound[i] < x[i]) {
bound[i] = x[i];
}
}
}
}
return bound;
}
/**
* Create a scatter plot.
* @param points a n-by-2 or n-by-3 matrix that describes coordinates of n points.
*/
public static ScatterPlot of(double[][] points) {
return new ScatterPlot(Point.of(points));
}
/**
* Create a scatter plot.
* @param points a n-by-2 or n-by-3 matrix that describes coordinates of n points.
*/
public static ScatterPlot of(double[][] points, Color color) {
return new ScatterPlot(Point.of(points, color));
}
/**
* Create a scatter plot.
* @param points a n-by-2 or n-by-3 matrix that describes coordinates of n points.
*/
public static ScatterPlot of(double[][] points, char mark) {
return new ScatterPlot(Point.of(points, mark));
}
/**
* Create a scatter plot.
* @param points a n-by-2 or n-by-3 matrix that describes coordinates of n points.
*/
public static ScatterPlot of(double[][] points, char mark, Color color) {
return new ScatterPlot(new Point(points, mark, color));
}
/**
* Creates a scatter plot of multiple groups of data.
* @param x the data points. The elements should be of dimension 2 or 3.
* @param y the group label of data points.
*/
public static ScatterPlot of(double[][] x, String[] y, char mark) {
if (x.length != y.length) {
throw new IllegalArgumentException("The number of points and that of labels are not the same.");
}
Map> groups = IntStream.range(0, x.length).boxed().collect(Collectors.groupingBy(i -> y[i]));
Point[] points = new Point[groups.size()];
Legend[] legends = new Legend[groups.size()];
int k = 0;
for (Map.Entry> group : groups.entrySet()) {
Color color = Palette.COLORS[k % Palette.COLORS.length];
points[k] = new Point(
group.getValue().stream().map(i -> x[i]).toArray(double[][]::new),
mark,
color
);
legends[k] = new Legend(group.getKey(), color);
k++;
}
return new ScatterPlot(points, legends);
}
/**
* Creates a scatter plot of multiple groups of data.
* @param x the data points. The elements should be of dimension 2 or 3.
* @param y the group label of data points.
*/
public static ScatterPlot of(double[][] x, int[] y, char mark) {
return of(x, Arrays.stream(y).mapToObj(i -> String.format("class %d", i)).toArray(String[]::new), mark);
}
/**
* Creates a scatter plot from a data frame.
* @param data the data frame.
* @param x the column as x-axis.
* @param y the column as y-axis.
*/
public static ScatterPlot of(DataFrame data, String x, String y, char mark, Color color) {
int ix = data.indexOf(x);
int iy = data.indexOf(y);
double[][] xy = data.stream().map(row -> new double[]{row.getDouble(ix), row.getDouble(iy)}).toArray(double[][]::new);
return of(xy, mark, color);
}
/**
* Creates a scatter plot from a data frame.
* @param data the data frame.
* @param x the column as x-axis.
* @param y the column as y-axis.
* @param category the category column for coloring.
*/
public static ScatterPlot of(DataFrame data, String x, String y, String category, char mark) {
int ix = data.indexOf(x);
int iy = data.indexOf(y);
double[][] xy = data.stream().map(row -> new double[]{row.getDouble(ix), row.getDouble(iy)}).toArray(double[][]::new);
String[] label = data.column(category).toStringArray();
return of(xy, label, mark);
}
/**
* Creates a scatter plot from a data frame.
* @param data the data frame.
* @param x the column as x-axis.
* @param y the column as y-axis.
* @param z the column as z-axis.
*/
public static ScatterPlot of(DataFrame data, String x, String y, String z, char mark, Color color) {
int ix = data.indexOf(x);
int iy = data.indexOf(y);
int iz = data.indexOf(z);
double[][] xyz = data.stream().map(row -> new double[]{row.getDouble(ix), row.getDouble(iy), row.getDouble(iz)}).toArray(double[][]::new);
return of(xyz, mark, color);
}
/**
* Creates a scatter plot from a data frame.
* @param data the data frame.
* @param x the column as x-axis.
* @param y the column as y-axis.
* @param z the column as z-axis.
*/
public static ScatterPlot of(DataFrame data, String x, String y, String z, String category, char mark) {
int ix = data.indexOf(x);
int iy = data.indexOf(y);
int iz = data.indexOf(z);
double[][] xyz = data.stream().map(row -> new double[]{row.getDouble(ix), row.getDouble(iy), row.getDouble(iz)}).toArray(double[][]::new);
String[] label = data.column(category).toStringArray();
return of(xyz, label, mark);
}
}