// Copyright 2018 the Charts project authors. Please see the AUTHORS file // for details. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. /// Example of a scatter plot chart with a bucketing measure axis and a legend. /// /// A bucketing measure axis positions all values beneath a certain threshold /// into a reserved space on the axis range. The label for the bucket line will /// be drawn in the middle of the bucket range, rather than aligned with the /// gridline for that value's position on the scale. // EXCLUDE_FROM_GALLERY_DOCS_START import 'dart:math'; // EXCLUDE_FROM_GALLERY_DOCS_END import 'package:charts_flutter/flutter.dart' as charts; import 'package:flutter/material.dart'; class BucketingAxisScatterPlotChart extends StatelessWidget { final List seriesList; final bool animate; BucketingAxisScatterPlotChart(this.seriesList, {this.animate}); /// Creates a [ScatterPlotChart] with sample data and no transition. factory BucketingAxisScatterPlotChart.withSampleData() { return new BucketingAxisScatterPlotChart( _createSampleData(), // Disable animations for image tests. animate: false, ); } // EXCLUDE_FROM_GALLERY_DOCS_START // This section is excluded from being copied to the gallery. // It is used for creating random series data to demonstrate animation in // the example app only. factory BucketingAxisScatterPlotChart.withRandomData() { return new BucketingAxisScatterPlotChart(_createRandomData()); } /// Create random data. static List> _createRandomData() { final random = new Random(); final makeRadius = (int value) => (random.nextInt(value) + 6).toDouble(); // Make sure that the measure values for the first five series are well // above the threshold. This simulates the grouping of the small values into // the "Other" series. final myFakeDesktopData = [ new LinearSales( random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)), ]; final myFakeTabletData = [ new LinearSales( random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)), ]; final myFakeMobileData = [ new LinearSales( random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)), ]; final myFakeChromebookData = [ new LinearSales( random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)), ]; final myFakeHomeData = [ new LinearSales( random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)), ]; // Make sure that the "Other" series values are smaller. final myFakeOtherData = [ new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), new LinearSales( random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)), ]; return [ new charts.Series( id: 'Desktop', colorFn: (LinearSales sales, _) => charts.MaterialPalette.blue.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeDesktopData), new charts.Series( id: 'Tablet', colorFn: (LinearSales sales, _) => charts.MaterialPalette.red.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeTabletData), new charts.Series( id: 'Mobile', colorFn: (LinearSales sales, _) => charts.MaterialPalette.green.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeMobileData), new charts.Series( id: 'Chromebook', colorFn: (LinearSales sales, _) => charts.MaterialPalette.purple.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeChromebookData), new charts.Series( id: 'Home', colorFn: (LinearSales sales, _) => charts.MaterialPalette.indigo.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeHomeData), new charts.Series( id: 'Other', colorFn: (LinearSales sales, _) => charts.MaterialPalette.gray.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeOtherData), ]; } // EXCLUDE_FROM_GALLERY_DOCS_END @override Widget build(BuildContext context) { return new charts.ScatterPlotChart(seriesList, // Set up a bucketing axis that will place all values below 0.1 (10%) // into a bucket at the bottom of the chart. // // Configure a tick count of 3 so that we get 100%, 50%, and the // threshold. primaryMeasureAxis: new charts.BucketingAxisSpec( threshold: 0.1, tickProviderSpec: new charts.BucketingNumericTickProviderSpec( desiredTickCount: 3)), // Add a series legend to display the series names. behaviors: [ new charts.SeriesLegend(position: charts.BehaviorPosition.end), ], animate: animate); } /// Create one series with sample hard coded data. static List> _createSampleData() { final myFakeDesktopData = [ new LinearSales(52, 0.75, 14.0), ]; final myFakeTabletData = [ new LinearSales(45, 0.3, 18.0), ]; final myFakeMobileData = [ new LinearSales(56, 0.8, 17.0), ]; final myFakeChromebookData = [ new LinearSales(25, 0.6, 13.0), ]; final myFakeHomeData = [ new LinearSales(34, 0.5, 15.0), ]; final myFakeOtherData = [ new LinearSales(10, 0.25, 15.0), new LinearSales(12, 0.075, 14.0), new LinearSales(13, 0.225, 15.0), new LinearSales(16, 0.03, 14.0), new LinearSales(24, 0.04, 13.0), new LinearSales(37, 0.1, 14.5), ]; return [ new charts.Series( id: 'Desktop', colorFn: (LinearSales sales, _) => charts.MaterialPalette.blue.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeDesktopData), new charts.Series( id: 'Tablet', colorFn: (LinearSales sales, _) => charts.MaterialPalette.red.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeTabletData), new charts.Series( id: 'Mobile', colorFn: (LinearSales sales, _) => charts.MaterialPalette.green.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeMobileData), new charts.Series( id: 'Chromebook', colorFn: (LinearSales sales, _) => charts.MaterialPalette.purple.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeChromebookData), new charts.Series( id: 'Home', colorFn: (LinearSales sales, _) => charts.MaterialPalette.indigo.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeHomeData), new charts.Series( id: 'Other', colorFn: (LinearSales sales, _) => charts.MaterialPalette.gray.shadeDefault, domainFn: (LinearSales sales, _) => sales.year, measureFn: (LinearSales sales, _) => sales.revenueShare, radiusPxFn: (LinearSales sales, _) => sales.radius, data: myFakeOtherData), ]; } } /// Sample linear data type. class LinearSales { final int year; final double revenueShare; final double radius; LinearSales(this.year, this.revenueShare, this.radius); }