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180 lines
5.8 KiB
180 lines
5.8 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 line chart with null measure values.
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///
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/// Null values will be visible as gaps in lines and area skirts. Any data
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/// points that exist between two nulls in a line will be rendered as an
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/// isolated point, as seen in the green series.
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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 SimpleNullsLineChart extends StatelessWidget {
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final List<charts.Series> seriesList;
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final bool animate;
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SimpleNullsLineChart(this.seriesList, {this.animate});
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/// Creates a [LineChart] with sample data and no transition.
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factory SimpleNullsLineChart.withSampleData() {
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return new SimpleNullsLineChart(
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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 SimpleNullsLineChart.withRandomData() {
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return new SimpleNullsLineChart(_createRandomData());
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}
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/// Create random data.
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static List<charts.Series<LinearSales, num>> _createRandomData() {
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final random = new Random();
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final myFakeDesktopData = [
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new LinearSales(0, random.nextInt(100)),
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new LinearSales(1, random.nextInt(100)),
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new LinearSales(2, null),
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new LinearSales(3, random.nextInt(100)),
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new LinearSales(4, random.nextInt(100)),
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new LinearSales(5, random.nextInt(100)),
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new LinearSales(6, random.nextInt(100)),
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];
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var myFakeTabletData = [
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new LinearSales(0, random.nextInt(100)),
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new LinearSales(1, random.nextInt(100)),
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new LinearSales(2, random.nextInt(100)),
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new LinearSales(3, random.nextInt(100)),
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new LinearSales(4, random.nextInt(100)),
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new LinearSales(5, random.nextInt(100)),
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new LinearSales(6, random.nextInt(100)),
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];
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var myFakeMobileData = [
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new LinearSales(0, random.nextInt(100)),
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new LinearSales(1, random.nextInt(100)),
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new LinearSales(2, null),
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new LinearSales(3, random.nextInt(100)),
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new LinearSales(4, null),
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new LinearSales(5, random.nextInt(100)),
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new LinearSales(6, random.nextInt(100)),
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];
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return [
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new charts.Series<LinearSales, int>(
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id: 'Desktop',
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colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeDesktopData,
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),
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new charts.Series<LinearSales, int>(
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id: 'Tablet',
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colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeTabletData,
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),
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new charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeMobileData,
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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 new charts.LineChart(seriesList, animate: animate);
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}
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/// Create one series with sample hard coded data.
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static List<charts.Series<LinearSales, int>> _createSampleData() {
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final myFakeDesktopData = [
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new LinearSales(0, 5),
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new LinearSales(1, 15),
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new LinearSales(2, null),
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new LinearSales(3, 75),
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new LinearSales(4, 100),
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new LinearSales(5, 90),
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new LinearSales(6, 75),
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];
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final myFakeTabletData = [
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new LinearSales(0, 10),
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new LinearSales(1, 30),
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new LinearSales(2, 50),
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new LinearSales(3, 150),
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new LinearSales(4, 200),
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new LinearSales(5, 180),
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new LinearSales(6, 150),
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];
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final myFakeMobileData = [
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new LinearSales(0, 15),
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new LinearSales(1, 45),
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new LinearSales(2, null),
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new LinearSales(3, 225),
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new LinearSales(4, null),
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new LinearSales(5, 270),
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new LinearSales(6, 225),
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];
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return [
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new charts.Series<LinearSales, int>(
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id: 'Desktop',
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colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeDesktopData,
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),
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new charts.Series<LinearSales, int>(
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id: 'Tablet',
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colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeTabletData,
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),
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new charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myFakeMobileData,
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),
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];
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}
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}
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/// Sample linear data type.
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class LinearSales {
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final int year;
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final int sales;
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LinearSales(this.year, this.sales);
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}
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