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200 lines
7.3 KiB
200 lines
7.3 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 combo scatter plot chart with a second series rendered as a
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/// line.
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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 ScatterPlotComboLineChart extends StatelessWidget {
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final List<charts.Series> seriesList;
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final bool animate;
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const ScatterPlotComboLineChart(this.seriesList, {this.animate, Key key})
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: super(key: key);
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/// Creates a [ScatterPlotChart] with sample data and no transition.
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factory ScatterPlotComboLineChart.withSampleData() {
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return ScatterPlotComboLineChart(
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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 ScatterPlotComboLineChart.withRandomData() {
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return ScatterPlotComboLineChart(_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 = Random();
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makeRadius(int value) => (random.nextInt(value) + 2).toDouble();
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final desktopSalesData = [
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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LinearSales(random.nextInt(100), random.nextInt(100), makeRadius(6)),
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];
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var myRegressionData = [
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LinearSales(0, desktopSalesData[0].sales, 3.5),
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LinearSales(
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100, desktopSalesData[desktopSalesData.length - 1].sales, 7.5),
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];
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const maxMeasure = 100;
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return [
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charts.Series<LinearSales, int>(
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id: 'Sales',
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// Providing a color function is optional.
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colorFn: (LinearSales sales, _) {
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// Bucket the measure column value into 3 distinct colors.
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final bucket = sales.sales / maxMeasure;
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if (bucket < 1 / 3) {
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return charts.MaterialPalette.blue.shadeDefault;
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} else if (bucket < 2 / 3) {
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return charts.MaterialPalette.red.shadeDefault;
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} else {
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return charts.MaterialPalette.green.shadeDefault;
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}
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},
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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// Providing a radius function is optional.
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: desktopSalesData,
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),
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charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (_, __) => charts.MaterialPalette.purple.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myRegressionData)
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// Configure our custom line renderer for this series.
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..setAttribute(charts.rendererIdKey, 'customLine'),
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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.ScatterPlotChart(seriesList,
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animate: animate,
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// Configure the default renderer as a point renderer. This will be used
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// for any series that does not define a rendererIdKey.
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//
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// This is the default configuration, but is shown here for
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// illustration.
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defaultRenderer: charts.PointRendererConfig(),
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// Custom renderer configuration for the line series.
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customSeriesRenderers: [
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charts.LineRendererConfig(
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// ID used to link series to this renderer.
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customRendererId: 'customLine',
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// Configure the regression line to be painted above the points.
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//
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// By default, series drawn by the point renderer are painted on
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// top of those drawn by a line renderer.
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layoutPaintOrder: charts.LayoutViewPaintOrder.point + 1)
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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<LinearSales, int>> _createSampleData() {
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final desktopSalesData = [
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LinearSales(0, 5, 3.0),
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LinearSales(10, 25, 5.0),
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LinearSales(12, 75, 4.0),
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LinearSales(13, 225, 5.0),
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LinearSales(16, 50, 4.0),
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LinearSales(24, 75, 3.0),
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LinearSales(25, 100, 3.0),
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LinearSales(34, 150, 5.0),
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LinearSales(37, 10, 4.5),
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LinearSales(45, 300, 8.0),
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LinearSales(52, 15, 4.0),
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LinearSales(56, 200, 7.0),
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];
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var myRegressionData = [
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LinearSales(0, 5, 3.5),
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LinearSales(56, 240, 3.5),
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];
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const maxMeasure = 300;
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return [
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charts.Series<LinearSales, int>(
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id: 'Sales',
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// Providing a color function is optional.
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colorFn: (LinearSales sales, _) {
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// Bucket the measure column value into 3 distinct colors.
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final bucket = sales.sales / maxMeasure;
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if (bucket < 1 / 3) {
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return charts.MaterialPalette.blue.shadeDefault;
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} else if (bucket < 2 / 3) {
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return charts.MaterialPalette.red.shadeDefault;
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} else {
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return charts.MaterialPalette.green.shadeDefault;
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}
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},
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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// Providing a radius function is optional.
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: desktopSalesData,
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),
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charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (_, __) => charts.MaterialPalette.purple.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.sales,
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data: myRegressionData)
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// Configure our custom line renderer for this series.
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..setAttribute(charts.rendererIdKey, 'customLine'),
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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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final double radius;
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LinearSales(this.year, this.sales, this.radius);
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}
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