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samples/web/charts/lib/time_series_chart/with_bar_renderer.dart

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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 time series chart using a bar renderer.
// 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 TimeSeriesBar extends StatelessWidget {
final List<charts.Series<TimeSeriesSales, DateTime>> seriesList;
final bool? animate;
const TimeSeriesBar(this.seriesList, {this.animate, Key? key})
: super(key: key);
/// Creates a [TimeSeriesChart] with sample data and no transition.
factory TimeSeriesBar.withSampleData() {
return TimeSeriesBar(
_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 TimeSeriesBar.withRandomData() {
return TimeSeriesBar(_createRandomData());
}
/// Create random data.
static List<charts.Series<TimeSeriesSales, DateTime>> _createRandomData() {
final random = Random();
final data = [
TimeSeriesSales(DateTime(2017, 9, 1), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 2), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 3), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 4), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 5), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 6), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 7), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 8), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 9), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 10), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 11), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 12), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 13), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 14), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 15), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 16), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 17), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 18), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 19), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 20), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 21), random.nextInt(100)),
];
return [
charts.Series<TimeSeriesSales, DateTime>(
id: 'Sales',
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: data,
)
];
}
// EXCLUDE_FROM_GALLERY_DOCS_END
@override
Widget build(BuildContext context) {
return charts.TimeSeriesChart(
seriesList,
animate: animate,
// Set the default renderer to a bar renderer.
// This can also be one of the custom renderers of the time series chart.
defaultRenderer: charts.BarRendererConfig<DateTime>(),
// It is recommended that default interactions be turned off if using bar
// renderer, because the line point highlighter is the default for time
// series chart.
defaultInteractions: false,
// If default interactions were removed, optionally add select nearest
// and the domain highlighter that are typical for bar charts.
behaviors: [charts.SelectNearest(), charts.DomainHighlighter()],
);
}
/// Create one series with sample hard coded data.
static List<charts.Series<TimeSeriesSales, DateTime>> _createSampleData() {
final data = [
TimeSeriesSales(DateTime(2017, 9, 1), 5),
TimeSeriesSales(DateTime(2017, 9, 2), 5),
TimeSeriesSales(DateTime(2017, 9, 3), 25),
TimeSeriesSales(DateTime(2017, 9, 4), 100),
TimeSeriesSales(DateTime(2017, 9, 5), 75),
TimeSeriesSales(DateTime(2017, 9, 6), 88),
TimeSeriesSales(DateTime(2017, 9, 7), 65),
TimeSeriesSales(DateTime(2017, 9, 8), 91),
TimeSeriesSales(DateTime(2017, 9, 9), 100),
TimeSeriesSales(DateTime(2017, 9, 10), 111),
TimeSeriesSales(DateTime(2017, 9, 11), 90),
TimeSeriesSales(DateTime(2017, 9, 12), 50),
TimeSeriesSales(DateTime(2017, 9, 13), 40),
TimeSeriesSales(DateTime(2017, 9, 14), 30),
TimeSeriesSales(DateTime(2017, 9, 15), 40),
TimeSeriesSales(DateTime(2017, 9, 16), 50),
TimeSeriesSales(DateTime(2017, 9, 17), 30),
TimeSeriesSales(DateTime(2017, 9, 18), 35),
TimeSeriesSales(DateTime(2017, 9, 19), 40),
TimeSeriesSales(DateTime(2017, 9, 20), 32),
TimeSeriesSales(DateTime(2017, 9, 21), 31),
];
return [
charts.Series<TimeSeriesSales, DateTime>(
id: 'Sales',
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: data,
)
];
}
}
/// Sample time series data type.
class TimeSeriesSales {
final DateTime time;
final int sales;
TimeSeriesSales(this.time, this.sales);
}