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samples/web/charts/lib/bar_chart/grouped_stacked_weight_patt...

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// 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<charts.Series<dynamic, String>> seriesList;
final bool? animate;
const GroupedStackedWeightPatternBarChart(this.seriesList,
{this.animate, Key? key})
: super(key: key);
factory GroupedStackedWeightPatternBarChart.withSampleData() {
return 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 GroupedStackedWeightPatternBarChart(_createRandomData());
}
/// Create random data.
static List<charts.Series<OrdinalSales, String>> _createRandomData() {
final random = Random();
final desktopSalesDataA = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
final tableSalesDataA = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
final mobileSalesDataA = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
final desktopSalesDataB = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
final tableSalesDataB = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
final mobileSalesDataB = [
OrdinalSales('2014', random.nextInt(100)),
OrdinalSales('2015', random.nextInt(100)),
OrdinalSales('2016', random.nextInt(100)),
OrdinalSales('2017', random.nextInt(100)),
];
return [
charts.Series<OrdinalSales, String>(
id: 'Desktop A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: desktopSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Tablet A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: tableSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Mobile A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: mobileSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Desktop B',
seriesCategory: 'B',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: desktopSalesDataB,
),
charts.Series<OrdinalSales, String>(
id: 'Tablet B',
seriesCategory: 'B',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: tableSalesDataB,
),
charts.Series<OrdinalSales, String>(
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 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: charts.BarRendererConfig(
groupingType: charts.BarGroupingType.groupedStacked,
weightPattern: [2, 1],
),
);
}
/// Create series list with multiple series
static List<charts.Series<OrdinalSales, String>> createSampleData() {
final desktopSalesDataA = [
OrdinalSales('2014', 5),
OrdinalSales('2015', 25),
OrdinalSales('2016', 100),
OrdinalSales('2017', 75),
];
final tableSalesDataA = [
OrdinalSales('2014', 25),
OrdinalSales('2015', 50),
OrdinalSales('2016', 10),
OrdinalSales('2017', 20),
];
final mobileSalesDataA = [
OrdinalSales('2014', 10),
OrdinalSales('2015', 15),
OrdinalSales('2016', 50),
OrdinalSales('2017', 45),
];
final desktopSalesDataB = [
OrdinalSales('2014', 5),
OrdinalSales('2015', 25),
OrdinalSales('2016', 100),
OrdinalSales('2017', 75),
];
final tableSalesDataB = [
OrdinalSales('2014', 25),
OrdinalSales('2015', 50),
OrdinalSales('2016', 10),
OrdinalSales('2017', 20),
];
final mobileSalesDataB = [
OrdinalSales('2014', 10),
OrdinalSales('2015', 15),
OrdinalSales('2016', 50),
OrdinalSales('2017', 45),
];
return [
charts.Series<OrdinalSales, String>(
id: 'Desktop A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: desktopSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Tablet A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: tableSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Mobile A',
seriesCategory: 'A',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: mobileSalesDataA,
),
charts.Series<OrdinalSales, String>(
id: 'Desktop B',
seriesCategory: 'B',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: desktopSalesDataB,
),
charts.Series<OrdinalSales, String>(
id: 'Tablet B',
seriesCategory: 'B',
domainFn: (OrdinalSales sales, _) => sales.year,
measureFn: (OrdinalSales sales, _) => sales.sales,
data: tableSalesDataB,
),
charts.Series<OrdinalSales, String>(
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);
}