Starter/samples
1
0
Fork 0
mirror of https://github.com/flutter/samples.git synced 2025-11-09 06:18:49 +00:00
Code Issues Releases Wiki Activity

web/chart: fix sample (#909)

Browse Source
This commit is contained in:
Brett Morgan
2021-10-07 08:10:34 +11:00
committed by GitHub
parent 0fe216a1cf
commit 2d9ba2f9eb
118 changed files with 3655 additions and 3511 deletions
Download Patch File Download Diff File Expand all files Collapse all files

75
web/charts/lib/combo_chart/date_time_line_point.dart
View File

@@ -30,11 +30,12 @@ class DateTimeComboLinePointChart extends StatelessWidget {
final List<charts.Series> seriesList;
final bool animate;
DateTimeComboLinePointChart(this.seriesList, {this.animate});
const DateTimeComboLinePointChart(this.seriesList, {this.animate, Key key})
: super(key: key);
/// Creates a [TimeSeriesChart] with sample data and no transition.
factory DateTimeComboLinePointChart.withSampleData() {
return new DateTimeComboLinePointChart(
return DateTimeComboLinePointChart(
_createSampleData(),
// Disable animations for image tests.
animate: false,
@@ -46,50 +47,50 @@ class DateTimeComboLinePointChart extends StatelessWidget {
// It is used for creating random series data to demonstrate animation in
// the example app only.
factory DateTimeComboLinePointChart.withRandomData() {
return new DateTimeComboLinePointChart(_createRandomData());
return DateTimeComboLinePointChart(_createRandomData());
}
/// Create random data.
static List<charts.Series<TimeSeriesSales, DateTime>> _createRandomData() {
final random = new Random();
final random = Random();
final desktopSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 9, 26), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 10, 3), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 10, 10), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 19), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 26), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 10, 3), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 10, 10), random.nextInt(100)),
];
final tableSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 9, 26), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 10, 3), random.nextInt(100)),
new TimeSeriesSales(new DateTime(2017, 10, 10), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 19), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 9, 26), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 10, 3), random.nextInt(100)),
TimeSeriesSales(DateTime(2017, 10, 10), random.nextInt(100)),
];
final mobileSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), tableSalesData[0].sales),
new TimeSeriesSales(new DateTime(2017, 9, 26), tableSalesData[1].sales),
new TimeSeriesSales(new DateTime(2017, 10, 3), tableSalesData[2].sales),
new TimeSeriesSales(new DateTime(2017, 10, 10), tableSalesData[3].sales),
TimeSeriesSales(DateTime(2017, 9, 19), tableSalesData[0].sales),
TimeSeriesSales(DateTime(2017, 9, 26), tableSalesData[1].sales),
TimeSeriesSales(DateTime(2017, 10, 3), tableSalesData[2].sales),
TimeSeriesSales(DateTime(2017, 10, 10), tableSalesData[3].sales),
];
return [
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Desktop',
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: desktopSalesData,
),
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Tablet',
colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: tableSalesData,
),
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Mobile',
colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
@@ -103,17 +104,17 @@ class DateTimeComboLinePointChart extends StatelessWidget {
@override
Widget build(BuildContext context) {
return new charts.TimeSeriesChart(
return charts.TimeSeriesChart(
seriesList,
animate: animate,
// Configure the default renderer as a line renderer. This will be used
// for any series that does not define a rendererIdKey.
//
// This is the default configuration, but is shown here for illustration.
defaultRenderer: new charts.LineRendererConfig(),
defaultRenderer: charts.LineRendererConfig(),
// Custom renderer configuration for the point series.
customSeriesRenderers: [
new charts.PointRendererConfig(
charts.PointRendererConfig(
// ID used to link series to this renderer.
customRendererId: 'customPoint')
],
@@ -127,42 +128,42 @@ class DateTimeComboLinePointChart extends StatelessWidget {
/// Create one series with sample hard coded data.
static List<charts.Series<TimeSeriesSales, DateTime>> _createSampleData() {
final desktopSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), 5),
new TimeSeriesSales(new DateTime(2017, 9, 26), 25),
new TimeSeriesSales(new DateTime(2017, 10, 3), 100),
new TimeSeriesSales(new DateTime(2017, 10, 10), 75),
TimeSeriesSales(DateTime(2017, 9, 19), 5),
TimeSeriesSales(DateTime(2017, 9, 26), 25),
TimeSeriesSales(DateTime(2017, 10, 3), 100),
TimeSeriesSales(DateTime(2017, 10, 10), 75),
];
final tableSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), 10),
new TimeSeriesSales(new DateTime(2017, 9, 26), 50),
new TimeSeriesSales(new DateTime(2017, 10, 3), 200),
new TimeSeriesSales(new DateTime(2017, 10, 10), 150),
TimeSeriesSales(DateTime(2017, 9, 19), 10),
TimeSeriesSales(DateTime(2017, 9, 26), 50),
TimeSeriesSales(DateTime(2017, 10, 3), 200),
TimeSeriesSales(DateTime(2017, 10, 10), 150),
];
final mobileSalesData = [
new TimeSeriesSales(new DateTime(2017, 9, 19), 10),
new TimeSeriesSales(new DateTime(2017, 9, 26), 50),
new TimeSeriesSales(new DateTime(2017, 10, 3), 200),
new TimeSeriesSales(new DateTime(2017, 10, 10), 150),
TimeSeriesSales(DateTime(2017, 9, 19), 10),
TimeSeriesSales(DateTime(2017, 9, 26), 50),
TimeSeriesSales(DateTime(2017, 10, 3), 200),
TimeSeriesSales(DateTime(2017, 10, 10), 150),
];
return [
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Desktop',
colorFn: (_, __) => charts.MaterialPalette.blue.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: desktopSalesData,
),
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Tablet',
colorFn: (_, __) => charts.MaterialPalette.red.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,
measureFn: (TimeSeriesSales sales, _) => sales.sales,
data: tableSalesData,
),
new charts.Series<TimeSeriesSales, DateTime>(
charts.Series<TimeSeriesSales, DateTime>(
id: 'Mobile',
colorFn: (_, __) => charts.MaterialPalette.green.shadeDefault,
domainFn: (TimeSeriesSales sales, _) => sales.time,