// 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 bar chart with grouped, stacked series oriented vertically with /// a custom weight pattern. /// /// This is a pattern of weights used to calculate the width of bars within a /// bar group. If not specified, each bar in the group will have an equal width. // EXCLUDE_FROM_GALLERY_DOCS_START import 'dart:math'; // EXCLUDE_FROM_GALLERY_DOCS_END import 'package:flutter/material.dart'; import 'package:charts_flutter/flutter.dart' as charts; class GroupedStackedWeightPatternBarChart extends StatelessWidget { final List seriesList; final bool animate; GroupedStackedWeightPatternBarChart(this.seriesList, {this.animate}); factory GroupedStackedWeightPatternBarChart.withSampleData() { return new GroupedStackedWeightPatternBarChart( 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 GroupedStackedWeightPatternBarChart.withRandomData() { return new GroupedStackedWeightPatternBarChart(_createRandomData()); } /// Create random data. static List> _createRandomData() { final random = new Random(); final desktopSalesDataA = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; final tableSalesDataA = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; final mobileSalesDataA = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; final desktopSalesDataB = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; final tableSalesDataB = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; final mobileSalesDataB = [ new OrdinalSales('2014', random.nextInt(100)), new OrdinalSales('2015', random.nextInt(100)), new OrdinalSales('2016', random.nextInt(100)), new OrdinalSales('2017', random.nextInt(100)), ]; return [ new charts.Series( id: 'Desktop A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: desktopSalesDataA, ), new charts.Series( id: 'Tablet A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: tableSalesDataA, ), new charts.Series( id: 'Mobile A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: mobileSalesDataA, ), new charts.Series( id: 'Desktop B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: desktopSalesDataB, ), new charts.Series( id: 'Tablet B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: tableSalesDataB, ), new charts.Series( id: 'Mobile B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: mobileSalesDataB, ), ]; } // EXCLUDE_FROM_GALLERY_DOCS_END @override Widget build(BuildContext context) { return new charts.BarChart( seriesList, animate: animate, // Configure the bar renderer in grouped stacked rendering mode with a // custom weight pattern. // // The first stack of bars in each group is configured to be twice as wide // as the second stack of bars in each group. defaultRenderer: new charts.BarRendererConfig( groupingType: charts.BarGroupingType.groupedStacked, weightPattern: [2, 1], ), ); } /// Create series list with multiple series static List> createSampleData() { final desktopSalesDataA = [ new OrdinalSales('2014', 5), new OrdinalSales('2015', 25), new OrdinalSales('2016', 100), new OrdinalSales('2017', 75), ]; final tableSalesDataA = [ new OrdinalSales('2014', 25), new OrdinalSales('2015', 50), new OrdinalSales('2016', 10), new OrdinalSales('2017', 20), ]; final mobileSalesDataA = [ new OrdinalSales('2014', 10), new OrdinalSales('2015', 15), new OrdinalSales('2016', 50), new OrdinalSales('2017', 45), ]; final desktopSalesDataB = [ new OrdinalSales('2014', 5), new OrdinalSales('2015', 25), new OrdinalSales('2016', 100), new OrdinalSales('2017', 75), ]; final tableSalesDataB = [ new OrdinalSales('2014', 25), new OrdinalSales('2015', 50), new OrdinalSales('2016', 10), new OrdinalSales('2017', 20), ]; final mobileSalesDataB = [ new OrdinalSales('2014', 10), new OrdinalSales('2015', 15), new OrdinalSales('2016', 50), new OrdinalSales('2017', 45), ]; return [ new charts.Series( id: 'Desktop A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: desktopSalesDataA, ), new charts.Series( id: 'Tablet A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: tableSalesDataA, ), new charts.Series( id: 'Mobile A', seriesCategory: 'A', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: mobileSalesDataA, ), new charts.Series( id: 'Desktop B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: desktopSalesDataB, ), new charts.Series( id: 'Tablet B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: tableSalesDataB, ), new charts.Series( id: 'Mobile B', seriesCategory: 'B', domainFn: (OrdinalSales sales, _) => sales.year, measureFn: (OrdinalSales sales, _) => sales.sales, data: mobileSalesDataB, ), ]; } } /// Sample ordinal data type. class OrdinalSales { final String year; final int sales; OrdinalSales(this.year, this.sales); }