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150 lines
5.9 KiB
150 lines
5.9 KiB
// Copyright 2018 the Charts project authors. Please see the AUTHORS file
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// for details.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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/// Example of a time series chart using a bar renderer.
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// EXCLUDE_FROM_GALLERY_DOCS_START
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import 'dart:math';
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// EXCLUDE_FROM_GALLERY_DOCS_END
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import 'package:charts_flutter/flutter.dart' as charts;
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import 'package:flutter/material.dart';
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class TimeSeriesBar extends StatelessWidget {
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final List<charts.Series<TimeSeriesSales, DateTime>> seriesList;
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final bool? animate;
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const TimeSeriesBar(this.seriesList, {this.animate, Key? key})
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: super(key: key);
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/// Creates a [TimeSeriesChart] with sample data and no transition.
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factory TimeSeriesBar.withSampleData() {
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return TimeSeriesBar(
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_createSampleData(),
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// Disable animations for image tests.
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animate: false,
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);
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}
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// EXCLUDE_FROM_GALLERY_DOCS_START
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// This section is excluded from being copied to the gallery.
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// It is used for creating random series data to demonstrate animation in
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// the example app only.
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factory TimeSeriesBar.withRandomData() {
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return TimeSeriesBar(_createRandomData());
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}
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/// Create random data.
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static List<charts.Series<TimeSeriesSales, DateTime>> _createRandomData() {
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final random = Random();
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final data = [
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TimeSeriesSales(DateTime(2017, 9, 1), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 2), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 3), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 4), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 5), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 6), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 7), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 8), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 9), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 10), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 11), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 12), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 13), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 14), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 15), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 16), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 17), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 18), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 19), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 20), random.nextInt(100)),
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TimeSeriesSales(DateTime(2017, 9, 21), random.nextInt(100)),
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];
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return [
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charts.Series<TimeSeriesSales, DateTime>(
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id: 'Sales',
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colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
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domainFn: (TimeSeriesSales sales, _) => sales.time,
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measureFn: (TimeSeriesSales sales, _) => sales.sales,
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data: data,
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)
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];
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}
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// EXCLUDE_FROM_GALLERY_DOCS_END
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@override
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Widget build(BuildContext context) {
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return charts.TimeSeriesChart(
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seriesList,
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animate: animate,
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// Set the default renderer to a bar renderer.
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// This can also be one of the custom renderers of the time series chart.
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defaultRenderer: charts.BarRendererConfig<DateTime>(),
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// It is recommended that default interactions be turned off if using bar
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// renderer, because the line point highlighter is the default for time
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// series chart.
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defaultInteractions: false,
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// If default interactions were removed, optionally add select nearest
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// and the domain highlighter that are typical for bar charts.
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behaviors: [charts.SelectNearest(), charts.DomainHighlighter()],
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);
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}
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/// Create one series with sample hard coded data.
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static List<charts.Series<TimeSeriesSales, DateTime>> _createSampleData() {
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final data = [
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TimeSeriesSales(DateTime(2017, 9, 1), 5),
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TimeSeriesSales(DateTime(2017, 9, 2), 5),
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TimeSeriesSales(DateTime(2017, 9, 3), 25),
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TimeSeriesSales(DateTime(2017, 9, 4), 100),
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TimeSeriesSales(DateTime(2017, 9, 5), 75),
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TimeSeriesSales(DateTime(2017, 9, 6), 88),
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TimeSeriesSales(DateTime(2017, 9, 7), 65),
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TimeSeriesSales(DateTime(2017, 9, 8), 91),
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TimeSeriesSales(DateTime(2017, 9, 9), 100),
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TimeSeriesSales(DateTime(2017, 9, 10), 111),
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TimeSeriesSales(DateTime(2017, 9, 11), 90),
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TimeSeriesSales(DateTime(2017, 9, 12), 50),
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TimeSeriesSales(DateTime(2017, 9, 13), 40),
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TimeSeriesSales(DateTime(2017, 9, 14), 30),
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TimeSeriesSales(DateTime(2017, 9, 15), 40),
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TimeSeriesSales(DateTime(2017, 9, 16), 50),
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TimeSeriesSales(DateTime(2017, 9, 17), 30),
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TimeSeriesSales(DateTime(2017, 9, 18), 35),
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TimeSeriesSales(DateTime(2017, 9, 19), 40),
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TimeSeriesSales(DateTime(2017, 9, 20), 32),
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TimeSeriesSales(DateTime(2017, 9, 21), 31),
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];
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return [
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charts.Series<TimeSeriesSales, DateTime>(
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id: 'Sales',
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colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
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domainFn: (TimeSeriesSales sales, _) => sales.time,
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measureFn: (TimeSeriesSales sales, _) => sales.sales,
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data: data,
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)
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];
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}
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}
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/// Sample time series data type.
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class TimeSeriesSales {
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final DateTime time;
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final int sales;
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TimeSeriesSales(this.time, this.sales);
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}
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