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com.dlsc.showcase.impl.SamplePageChartHelper Maven / Gradle / Ivy
/*
* Copyright (c) 2008, 2014, Oracle and/or its affiliates.
* All rights reserved. Use is subject to license terms.
*
* This file is available and licensed under the following license:
*
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* modification, are permitted provided that the following conditions
* are met:
*
* - Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* - Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the distribution.
* - Neither the name of Oracle Corporation nor the names of its
* contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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package com.dlsc.showcase.impl;
import javafx.collections.FXCollections;
import javafx.collections.ObservableList;
import javafx.geometry.Side;
import javafx.scene.Node;
import javafx.scene.chart.*;
import java.util.Random;
/**
* Helper class for creating charts for testing
*/
public class SamplePageChartHelper {
static Node createAreaChart(Boolean stacked) {
NumberAxis xAxis = new NumberAxis("X Values", 1.0d, 9.0d, 2.0d);
xAxis.setTickLength(12.0f);
NumberAxis yAxis = new NumberAxis();
yAxis.setLabel("Y Values");
ObservableList areaChartData = FXCollections.observableArrayList(
new AreaChart.Series("Series 1", FXCollections.observableArrayList(
new AreaChart.Data(0, 4),
new AreaChart.Data(2, 5),
new AreaChart.Data(4, 4),
new AreaChart.Data(6, 2),
new AreaChart.Data(8, 6),
new AreaChart.Data(10, 8)
)),
new AreaChart.Series("Series 2", FXCollections.observableArrayList(
new AreaChart.Data(0, 8),
new AreaChart.Data(2, 2),
new AreaChart.Data(4, 9),
new AreaChart.Data(6, 7),
new AreaChart.Data(8, 5),
new AreaChart.Data(10, 7)
)),
new AreaChart.Series("Series 3", FXCollections.observableArrayList(
new AreaChart.Data(0, 2),
new AreaChart.Data(2, 5),
new AreaChart.Data(4, 8),
new AreaChart.Data(6, 6),
new AreaChart.Data(8, 9),
new AreaChart.Data(10, 7)
))
);
Node areaChart;
if (stacked) {
areaChart = new StackedAreaChart(xAxis, yAxis, areaChartData);
} else {
areaChart = new AreaChart(xAxis, yAxis, areaChartData);
}
return areaChart;
}
static Node createStackedBarChart(boolean horizontal, boolean simple) {
return createBarChart(horizontal, simple, true);
}
static Node createBarChart(boolean horizontal, boolean simple) {
return createBarChart(horizontal, simple, false);
}
static Node createBarChart(boolean horizontal, boolean simple, boolean stacked) {
Random RANDOM = new Random(29782198273l);
String[] years = {"2001", "2002", "2003"};
String[] series;
if (simple) {
series = new String[]{"A", "B", "C"};
} else {
series = new String[]{"A", "B", "C", "D", "E", "F", "G", "H"};
}
CategoryAxis xAxis = new CategoryAxis(FXCollections.observableArrayList(years));
NumberAxis yAxis = new NumberAxis();
yAxis.setLabel("Units Sold");
ObservableList barChartData = FXCollections.observableArrayList();
double negative = stacked ? 0 : -500;
for (int s = 0; s < series.length; s++) {
ObservableList sd = FXCollections.observableArrayList();
for (int y = 0; y < years.length; y++) {
if (horizontal) {
sd.add(new BarChart.Data(negative + (2000 * RANDOM.nextDouble()), years[y]));
} else {
sd.add(new BarChart.Data(years[y], negative + (2000 * RANDOM.nextDouble())));
}
}
barChartData.add(new BarChart.Series(series[s], sd));
}
Node barChart;
if (stacked) {
if (horizontal) {
barChart = new StackedBarChart(yAxis, xAxis, barChartData);
} else {
barChart = new StackedBarChart(xAxis, yAxis, barChartData);
}
} else {
if (horizontal) {
barChart = new BarChart(yAxis, xAxis, barChartData);
} else {
barChart = new BarChart(xAxis, yAxis, barChartData);
}
}
return barChart;
}
static Node createBubbleChart(boolean useRightTopAxis) {
Random RANDOM = new Random(29782198273l);
NumberAxis xAxis = new NumberAxis();
xAxis.setLabel("Product");
NumberAxis yAxis = new NumberAxis();
yAxis.setLabel("Number Bought/Sold");
if (useRightTopAxis) {
xAxis.setSide(Side.TOP);
yAxis.setSide(Side.RIGHT);
}
ObservableList bubbleChartData = FXCollections.observableArrayList();
for (int s = 0; s < 8; s++) {
ObservableList seriesData = FXCollections.observableArrayList();
for (int d = 0; d < (8 * (RANDOM.nextDouble() * 10)); d++) {
seriesData.add(new XYChart.Data(100 * RANDOM.nextDouble(), -50 + (150 * RANDOM.nextDouble()), 5 + (10 * RANDOM.nextDouble())));
}
bubbleChartData.add(new ScatterChart.Series("Product " + (s + 1), seriesData));
}
return new BubbleChart(xAxis, yAxis, bubbleChartData);
}
static Node createLineChart() {
NumberAxis xAxis = new NumberAxis("Values for X-Axis", 0, 3, 1);
NumberAxis yAxis = new NumberAxis("Values for Y-Axis", 0, 3, 1);
ObservableList> lineChartData = FXCollections.observableArrayList(
new LineChart.Series("Series 1", FXCollections.observableArrayList(
new XYChart.Data(0.0, 1.0),
new XYChart.Data(1.2, 1.4),
new XYChart.Data(2.2, 1.9),
new XYChart.Data(2.7, 2.3),
new XYChart.Data(2.9, 0.5)
)),
new LineChart.Series("Series 2", FXCollections.observableArrayList(
new XYChart.Data(0.0, 1.6),
new XYChart.Data(0.8, 0.4),
new XYChart.Data(1.4, 2.9),
new XYChart.Data(2.1, 1.3),
new XYChart.Data(2.6, 0.9)
))
);
return new LineChart(xAxis, yAxis, lineChartData);
}
static Node createPieChart() {
ObservableList pieChartData = FXCollections.observableArrayList(
new PieChart.Data("Sun", 20),
new PieChart.Data("IBM", 12),
new PieChart.Data("HP", 25),
new PieChart.Data("Dell", 22),
new PieChart.Data("Apple", 30)
);
return new PieChart(pieChartData);
}
static Node createScatterChart() {
Random RANDOM = new Random(29782198273l);
NumberAxis xAxis = new NumberAxis("X-Axis", 0, 8, 1);
NumberAxis yAxis = new NumberAxis("Y-Axis", -5, 5, 1);
ObservableList data = FXCollections.observableArrayList();
for (int s = 0; s < 8; s++) {
ObservableList seriesData = FXCollections.observableArrayList();
for (int d = 0; d < (8 * (RANDOM.nextDouble() * 10)); d++) {
seriesData.add(new XYChart.Data(8 * RANDOM.nextDouble(), -5 + (10 * RANDOM.nextDouble())));
}
data.add(new ScatterChart.Series("Product " + (s + 1), seriesData));
}
return new ScatterChart(xAxis, yAxis, data);
}
}
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