颤振中的非连续时间序列

如何解决颤振中的非连续时间序列

我正在尝试为Web创建Flutter TimeSeriesChart。我的数据涵盖多天,但在24小时内仅从07:00到16:00。有没有一种方法可以从时间轴中排除非采样时间?

我已附加了代码来显示生成下表的代表性数据集。我想消除不包含样品的扁平部分。

TimeSeriesChart

import 'package:flutter/material.dart';
import 'package:charts_flutter/flutter.dart' as charts;

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  // This widget is the root of your application.
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Demo',theme: ThemeData(
        // This is the theme of your application.
        //
        // Try running your application with "flutter run". You'll see the
        // application has a blue toolbar. Then,without quitting the app,try
        // changing the primarySwatch below to Colors.green and then invoke
        // "hot reload" (press "r" in the console where you ran "flutter run",// or simply save your changes to "hot reload" in a Flutter IDE).
        // Notice that the counter didn't reset back to zero; the application
        // is not restarted.
        primarySwatch: Colors.blue,// This makes the visual density adapt to the platform that you run
        // the app on. For desktop platforms,the controls will be smaller and
        // closer together (more dense) than on mobile platforms.
        visualDensity: VisualDensity.adaptivePlatformDensity,),home: MainPage(),);
  }
}

class MainPage extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        // Here we take the value from the MyHomePage object that was created by
        // the App.build method,and use it to set our appbar title.
        title: Text('Title'),body: SimpleTimeSeriesChart.withSampleData(),);
  }
}

class SimpleTimeSeriesChart extends StatelessWidget {
  final List<charts.Series> seriesList;
  final bool animate;

  SimpleTimeSeriesChart(this.seriesList,{this.animate});

  /// Creates a [TimeSeriesChart] with sample data and no transition.
  factory SimpleTimeSeriesChart.withSampleData() {
    return new SimpleTimeSeriesChart(
      _createSampleData(),// Disable animations for image tests.
      animate: false,);
  }

  @override
  Widget build(BuildContext context) {
    return new charts.TimeSeriesChart(
      seriesList,animate: animate,// Optionally pass in a [DateTimeFactory] used by the chart. The factory
      // should create the same type of [DateTime] as the data provided. If none
      // specified,the default creates local date time.
      dateTimeFactory: const charts.LocalDateTimeFactory(),primaryMeasureAxis: charts.NumericAxisSpec(
          tickProviderSpec:
              charts.BasicNumericTickProviderSpec(zeroBound: false)),behaviors: [
        charts.LinePointHighlighter(
          drawFollowLinesAcrossChart: true,showHorizontalFollowLine:
              charts.LinePointHighlighterFollowLineType.nearest,showVerticalFollowLine:
              charts.LinePointHighlighterFollowLineType.nearest,)
      ],);
  }

  /// Create one series with sample hard coded data.
  static List<charts.Series<TimeSeriesSales,DateTime>> _createSampleData() {
    final data = [
      TimeSeriesSales(
          DateTime.parse('2020-09-08 07:00:00-05'),28133.310000000000),TimeSeriesSales(
          DateTime.parse('2020-09-08 08:00:00-05'),27896.299666666667),TimeSeriesSales(
          DateTime.parse('2020-09-08 09:00:00-05'),27650.790500000000),TimeSeriesSales(
          DateTime.parse('2020-09-08 10:00:00-05'),27663.605833333333),TimeSeriesSales(
          DateTime.parse('2020-09-08 11:00:00-05'),27700.321666666667),TimeSeriesSales(
          DateTime.parse('2020-09-08 12:00:00-05'),27787.622500000000),TimeSeriesSales(
          DateTime.parse('2020-09-08 13:00:00-05'),27671.972500000000),TimeSeriesSales(
          DateTime.parse('2020-09-08 14:00:00-05'),27576.781666666667),TimeSeriesSales(
          DateTime.parse('2020-09-08 15:00:00-05'),27501.285500000000),TimeSeriesSales(
          DateTime.parse('2020-09-08 16:00:00-05'),27500.890000000000),TimeSeriesSales(
          DateTime.parse('2020-09-09 07:00:00-05'),TimeSeriesSales(
          DateTime.parse('2020-09-09 08:00:00-05'),27626.437666666667),TimeSeriesSales(
          DateTime.parse('2020-09-09 09:00:00-05'),27934.255166666667),TimeSeriesSales(
          DateTime.parse('2020-09-09 10:00:00-05'),28004.045000000000),TimeSeriesSales(
          DateTime.parse('2020-09-09 11:00:00-05'),28043.676500000000),TimeSeriesSales(
          DateTime.parse('2020-09-09 12:00:00-05'),28136.987666666667),TimeSeriesSales(
          DateTime.parse('2020-09-09 13:00:00-05'),28144.234333333333),TimeSeriesSales(
          DateTime.parse('2020-09-09 14:00:00-05'),28134.081166666667),TimeSeriesSales(
          DateTime.parse('2020-09-09 15:00:00-05'),27940.841500000000),TimeSeriesSales(
          DateTime.parse('2020-09-09 16:00:00-05'),27940.470000000000),TimeSeriesSales(
          DateTime.parse('2020-09-10 07:00:00-05'),TimeSeriesSales(
          DateTime.parse('2020-09-10 08:00:00-05'),28027.061333333333),TimeSeriesSales(
          DateTime.parse('2020-09-10 09:00:00-05'),28059.610666666667),TimeSeriesSales(
          DateTime.parse('2020-09-10 10:00:00-05'),27931.955500000000),TimeSeriesSales(
          DateTime.parse('2020-09-10 11:00:00-05'),27828.527666666667),TimeSeriesSales(
          DateTime.parse('2020-09-10 12:00:00-05'),27829.483666666667),TimeSeriesSales(
          DateTime.parse('2020-09-10 13:00:00-05'),27692.033666666667),TimeSeriesSales(
          DateTime.parse('2020-09-10 14:00:00-05'),27571.017666666667),TimeSeriesSales(
          DateTime.parse('2020-09-10 15:00:00-05'),27534.852833333333),TimeSeriesSales(
          DateTime.parse('2020-09-10 16:00:00-05'),27534.580000000000),TimeSeriesSales(
          DateTime.parse('2020-09-11 07:00:00-05'),TimeSeriesSales(
          DateTime.parse('2020-09-11 08:00:00-05'),27587.593333333333),TimeSeriesSales(
          DateTime.parse('2020-09-11 09:00:00-05'),27688.825500000000),TimeSeriesSales(
          DateTime.parse('2020-09-11 10:00:00-05'),27789.232000000000),];

    return [
      new charts.Series<TimeSeriesSales,DateTime>(
        id: 'Sales',colorFn: (_,__) => charts.MaterialPalette.blue.shadeDefault,domainFn: (TimeSeriesSales sales,_) => sales.time,measureFn: (TimeSeriesSales sales,_) => sales.sales,data: data,)
    ];
  }
}

/// Sample time series data type.
class TimeSeriesSales {
  final DateTime time;
  final double sales;

  TimeSeriesSales(this.time,this.sales);
}

解决方法

像这样在它们之间放置null值:

...
      TimeSeriesSales(
          DateTime.parse('2020-09-09 16:00:00-05'),27940.470000000000),TimeSeriesSales(
          DateTime.parse('2020-09-09 16:00:00-05'),null),TimeSeriesSales(
          DateTime.parse('2020-09-10 07:00:00-05'),...

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