mirror of https://github.com/flutter/samples.git
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
269 lines
11 KiB
269 lines
11 KiB
// 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 using disjoint measure axes to render 4 series of lines with
|
|
/// separate scales. The general use case for this type of chart is to show
|
|
/// differences in the trends of the data, without comparing their absolute
|
|
/// values.
|
|
///
|
|
/// Disjoint measure axes will be used to scale the series associated with them,
|
|
/// but they will not render any tick elements on either side of the chart.
|
|
// EXCLUDE_FROM_GALLERY_DOCS_START
|
|
import 'dart:collection' show LinkedHashMap;
|
|
import 'dart:math';
|
|
// EXCLUDE_FROM_GALLERY_DOCS_END
|
|
import 'package:charts_flutter/flutter.dart' as charts;
|
|
import 'package:flutter_web/material.dart';
|
|
|
|
class DisjointMeasureAxisLineChart extends StatelessWidget {
|
|
final List<charts.Series> seriesList;
|
|
final bool animate;
|
|
|
|
DisjointMeasureAxisLineChart(this.seriesList, {this.animate});
|
|
|
|
/// Creates a [LineChart] with sample data and no transition.
|
|
factory DisjointMeasureAxisLineChart.withSampleData() {
|
|
return new DisjointMeasureAxisLineChart(
|
|
_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 DisjointMeasureAxisLineChart.withRandomData() {
|
|
return new DisjointMeasureAxisLineChart(_createRandomData());
|
|
}
|
|
|
|
/// Create random data.
|
|
static List<charts.Series<LinearClicks, num>> _createRandomData() {
|
|
final random = new Random();
|
|
|
|
// The first three series contain similar data with different magnitudes.
|
|
// This demonstrates the ability to graph the trends in each series relative
|
|
// to each other, without the largest magnitude series compressing the
|
|
// smallest.
|
|
final myFakeDesktopData = [
|
|
new LinearClicks(0, clickCount: random.nextInt(100)),
|
|
new LinearClicks(1, clickCount: random.nextInt(100)),
|
|
new LinearClicks(2, clickCount: random.nextInt(100)),
|
|
new LinearClicks(3, clickCount: random.nextInt(100)),
|
|
];
|
|
|
|
final myFakeTabletData = [
|
|
new LinearClicks(0, clickCount: random.nextInt(100) * 100),
|
|
new LinearClicks(1, clickCount: random.nextInt(100) * 100),
|
|
new LinearClicks(2, clickCount: random.nextInt(100) * 100),
|
|
new LinearClicks(3, clickCount: random.nextInt(100) * 100),
|
|
];
|
|
|
|
final myFakeMobileData = [
|
|
new LinearClicks(0, clickCount: random.nextInt(100) * 1000),
|
|
new LinearClicks(1, clickCount: random.nextInt(100) * 1000),
|
|
new LinearClicks(2, clickCount: random.nextInt(100) * 1000),
|
|
new LinearClicks(3, clickCount: random.nextInt(100) * 1000),
|
|
];
|
|
|
|
// The fourth series renders with decimal values, representing a very
|
|
// different sort ratio-based data. If this was on the same axis as any of
|
|
// the other series, it would be squashed near zero.
|
|
final myFakeClickRateData = [
|
|
new LinearClicks(0, clickRate: .25),
|
|
new LinearClicks(1, clickRate: .65),
|
|
new LinearClicks(2, clickRate: .50),
|
|
new LinearClicks(3, clickRate: .30),
|
|
];
|
|
|
|
return [
|
|
// We render an empty series on the primary measure axis to ensure that
|
|
// the axis itself gets rendered. This helps us draw the gridlines on the
|
|
// chart.
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Fake Series',
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: []),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Desktop',
|
|
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeDesktopData,
|
|
)
|
|
// Set the 'Desktop' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 1'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Tablet',
|
|
colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeTabletData,
|
|
)
|
|
// Set the 'Tablet' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 2'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Mobile',
|
|
colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeMobileData,
|
|
)
|
|
// Set the 'Mobile' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 3'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Click Rate',
|
|
colorFn: (_, __) => charts.MaterialPalette.purple.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeClickRateData,
|
|
)
|
|
// Set the 'Click Rate' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 4'),
|
|
];
|
|
}
|
|
// EXCLUDE_FROM_GALLERY_DOCS_END
|
|
|
|
@override
|
|
Widget build(BuildContext context) {
|
|
return new charts.LineChart(seriesList,
|
|
animate: animate,
|
|
// Configure a primary measure axis that will render gridlines across
|
|
// the chart. This axis uses fake ticks with no labels to ensure that we
|
|
// get 5 grid lines.
|
|
//
|
|
// We do this because disjoint measure axes do not draw any tick
|
|
// elements on the chart.
|
|
primaryMeasureAxis: new charts.NumericAxisSpec(
|
|
tickProviderSpec: new charts.StaticNumericTickProviderSpec(
|
|
// Create the ticks to be used the domain axis.
|
|
<charts.TickSpec<num>>[
|
|
new charts.TickSpec(0, label: ''),
|
|
new charts.TickSpec(1, label: ''),
|
|
new charts.TickSpec(2, label: ''),
|
|
new charts.TickSpec(3, label: ''),
|
|
new charts.TickSpec(4, label: ''),
|
|
],
|
|
)),
|
|
// Create one disjoint measure axis per series on the chart.
|
|
//
|
|
// Disjoint measure axes will be used to scale the rendered data,
|
|
// without drawing any tick elements on either side of the chart.
|
|
disjointMeasureAxes:
|
|
new LinkedHashMap<String, charts.NumericAxisSpec>.from({
|
|
'axis 1': new charts.NumericAxisSpec(),
|
|
'axis 2': new charts.NumericAxisSpec(),
|
|
'axis 3': new charts.NumericAxisSpec(),
|
|
'axis 4': new charts.NumericAxisSpec(),
|
|
}));
|
|
}
|
|
|
|
/// Create one series with sample hard coded data.
|
|
static List<charts.Series<LinearClicks, int>> _createSampleData() {
|
|
// The first three series contain similar data with different magnitudes.
|
|
// This demonstrates the ability to graph the trends in each series relative
|
|
// to each other, without the largest magnitude series compressing the
|
|
// smallest.
|
|
final myFakeDesktopData = [
|
|
new LinearClicks(0, clickCount: 25),
|
|
new LinearClicks(1, clickCount: 125),
|
|
new LinearClicks(2, clickCount: 920),
|
|
new LinearClicks(3, clickCount: 375),
|
|
];
|
|
|
|
final myFakeTabletData = [
|
|
new LinearClicks(0, clickCount: 375),
|
|
new LinearClicks(1, clickCount: 1850),
|
|
new LinearClicks(2, clickCount: 9700),
|
|
new LinearClicks(3, clickCount: 5000),
|
|
];
|
|
|
|
final myFakeMobileData = [
|
|
new LinearClicks(0, clickCount: 5000),
|
|
new LinearClicks(1, clickCount: 25000),
|
|
new LinearClicks(2, clickCount: 100000),
|
|
new LinearClicks(3, clickCount: 75000),
|
|
];
|
|
|
|
// The fourth series renders with decimal values, representing a very
|
|
// different sort ratio-based data. If this was on the same axis as any of
|
|
// the other series, it would be squashed near zero.
|
|
final myFakeClickRateData = [
|
|
new LinearClicks(0, clickRate: .25),
|
|
new LinearClicks(1, clickRate: .65),
|
|
new LinearClicks(2, clickRate: .50),
|
|
new LinearClicks(3, clickRate: .30),
|
|
];
|
|
|
|
return [
|
|
// We render an empty series on the primary measure axis to ensure that
|
|
// the axis itself gets rendered. This helps us draw the gridlines on the
|
|
// chart.
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Fake Series',
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: []),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Desktop',
|
|
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeDesktopData,
|
|
)
|
|
// Set the 'Desktop' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 1'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Tablet',
|
|
colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeTabletData,
|
|
)
|
|
// Set the 'Tablet' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 2'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Mobile',
|
|
colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickCount,
|
|
data: myFakeMobileData,
|
|
)
|
|
// Set the 'Mobile' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 3'),
|
|
new charts.Series<LinearClicks, int>(
|
|
id: 'Click Rate',
|
|
colorFn: (_, __) => charts.MaterialPalette.purple.shadeDefault,
|
|
domainFn: (LinearClicks clickCount, _) => clickCount.year,
|
|
measureFn: (LinearClicks clickCount, _) => clickCount.clickRate,
|
|
data: myFakeClickRateData,
|
|
)
|
|
// Set the 'Click Rate' series to use a disjoint axis.
|
|
..setAttribute(charts.measureAxisIdKey, 'axis 4'),
|
|
];
|
|
}
|
|
}
|
|
|
|
/// Sample linear data type.
|
|
class LinearClicks {
|
|
final int year;
|
|
final int clickCount;
|
|
final double clickRate;
|
|
|
|
LinearClicks(this.year, {this.clickCount = null, this.clickRate = null});
|
|
}
|