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265 lines
10 KiB
265 lines
10 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 scatter plot chart with a bucketing measure axis and a legend.
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///
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/// A bucketing measure axis positions all values beneath a certain threshold
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/// into a reserved space on the axis range. The label for the bucket line will
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/// be drawn in the middle of the bucket range, rather than aligned with the
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/// gridline for that value's position on the scale.
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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 BucketingAxisScatterPlotChart extends StatelessWidget {
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final List<charts.Series> seriesList;
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final bool animate;
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BucketingAxisScatterPlotChart(this.seriesList, {this.animate});
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/// Creates a [ScatterPlotChart] with sample data and no transition.
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factory BucketingAxisScatterPlotChart.withSampleData() {
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return new BucketingAxisScatterPlotChart(
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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 BucketingAxisScatterPlotChart.withRandomData() {
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return new BucketingAxisScatterPlotChart(_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 makeRadius = (int value) => (random.nextInt(value) + 6).toDouble();
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// Make sure that the measure values for the first five series are well
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// above the threshold. This simulates the grouping of the small values into
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// the "Other" series.
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final myFakeDesktopData = [
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new LinearSales(
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random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)),
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];
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final myFakeTabletData = [
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new LinearSales(
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random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)),
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];
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final myFakeMobileData = [
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new LinearSales(
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random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)),
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];
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final myFakeChromebookData = [
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new LinearSales(
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random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)),
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];
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final myFakeHomeData = [
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new LinearSales(
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random.nextInt(100), (random.nextInt(50) + 50) / 100, makeRadius(6)),
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];
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// Make sure that the "Other" series values are smaller.
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final myFakeOtherData = [
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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new LinearSales(
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random.nextInt(100), random.nextInt(50) / 100, makeRadius(6)),
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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: (LinearSales sales, _) =>
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charts.MaterialPalette.blue.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeDesktopData),
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new charts.Series<LinearSales, int>(
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id: 'Tablet',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.red.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeTabletData),
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new charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.green.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeMobileData),
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new charts.Series<LinearSales, int>(
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id: 'Chromebook',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.purple.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeChromebookData),
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new charts.Series<LinearSales, int>(
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id: 'Home',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.indigo.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeHomeData),
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new charts.Series<LinearSales, int>(
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id: 'Other',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.gray.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeOtherData),
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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.ScatterPlotChart(seriesList,
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// Set up a bucketing axis that will place all values below 0.1 (10%)
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// into a bucket at the bottom of the chart.
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//
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// Configure a tick count of 3 so that we get 100%, 50%, and the
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// threshold.
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primaryMeasureAxis: new charts.BucketingAxisSpec(
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threshold: 0.1,
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tickProviderSpec: new charts.BucketingNumericTickProviderSpec(
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desiredTickCount: 3)),
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// Add a series legend to display the series names.
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behaviors: [
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new charts.SeriesLegend(position: charts.BehaviorPosition.end),
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],
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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(52, 0.75, 14.0),
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];
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final myFakeTabletData = [
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new LinearSales(45, 0.3, 18.0),
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];
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final myFakeMobileData = [
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new LinearSales(56, 0.8, 17.0),
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];
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final myFakeChromebookData = [
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new LinearSales(25, 0.6, 13.0),
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];
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final myFakeHomeData = [
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new LinearSales(34, 0.5, 15.0),
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];
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final myFakeOtherData = [
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new LinearSales(10, 0.25, 15.0),
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new LinearSales(12, 0.075, 14.0),
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new LinearSales(13, 0.225, 15.0),
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new LinearSales(16, 0.03, 14.0),
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new LinearSales(24, 0.04, 13.0),
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new LinearSales(37, 0.1, 14.5),
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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: (LinearSales sales, _) =>
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charts.MaterialPalette.blue.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeDesktopData),
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new charts.Series<LinearSales, int>(
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id: 'Tablet',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.red.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeTabletData),
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new charts.Series<LinearSales, int>(
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id: 'Mobile',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.green.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeMobileData),
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new charts.Series<LinearSales, int>(
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id: 'Chromebook',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.purple.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeChromebookData),
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new charts.Series<LinearSales, int>(
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id: 'Home',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.indigo.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeHomeData),
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new charts.Series<LinearSales, int>(
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id: 'Other',
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colorFn: (LinearSales sales, _) =>
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charts.MaterialPalette.gray.shadeDefault,
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domainFn: (LinearSales sales, _) => sales.year,
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measureFn: (LinearSales sales, _) => sales.revenueShare,
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radiusPxFn: (LinearSales sales, _) => sales.radius,
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data: myFakeOtherData),
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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 double revenueShare;
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final double radius;
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LinearSales(this.year, this.revenueShare, this.radius);
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}
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