javascript - 如何使 Highcharts 标记带有相对日期的日期时间 X 轴？-6ren

javascript - 如何使 Highcharts 标记带有相对日期的日期时间 X 轴？

转载作者：行者123 更新时间：2023-12-03 07:38:25

我有以下显示多条曲线的图表。这些曲线都发生在不同的时间，但我将它们对齐，以便可以将它们视为同时发生的。您可以将鼠标悬停在每个点上来查看该点的实际日期。

//set global chart options
$(document).ready(function() {
  Highcharts.setOptions({
    xAxis: {
      type: 'datetime',
    },

    yAxis: [{
      title: {
        text: 'FIXME',
        style: {
          color: '#4bb2c5',
        },
      },
      min: 0,
      maxPadding: 0,
    }, ],

    legend: {
      labelFormat: '<span style="font-size: xx-small;">{name}</span>',
    },

    tooltip: {
      formatter: function() {
        return Highcharts.dateFormat('%B %e, %Y', this.point.name) + "<br>Cases: " + this.point.y;
      }
    },
  });

  drawGraphMultipleCurves();
});

var plotMultipleCurves = null;

function drawGraphMultipleCurves() {
  //no need to redraw if we've already drawn the graph
  if (plotMultipleCurves != null)
    return;

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves549 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 1,
      name: Date.UTC(2008, 9, 27, 0),
    },

    {
      x: Date.UTC(2001, 8, 8, 0),
      y: 2,
      name: Date.UTC(2008, 10, 3, 0),
    },

    {
      x: Date.UTC(2001, 8, 15, 0),
      y: 7,
      name: Date.UTC(2008, 10, 10, 0),
    },

    {
      x: Date.UTC(2001, 8, 22, 0),
      y: 14,
      name: Date.UTC(2008, 10, 17, 0),
    },

    {
      x: Date.UTC(2001, 8, 29, 0),
      y: 33,
      name: Date.UTC(2008, 10, 24, 0),
    },

    {
      x: Date.UTC(2001, 9, 6, 0),
      y: 50,
      name: Date.UTC(2008, 11, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 13, 0),
      y: 65,
      name: Date.UTC(2008, 11, 8, 0),
    },

    {
      x: Date.UTC(2001, 9, 20, 0),
      y: 97,
      name: Date.UTC(2008, 11, 15, 0),
    },

    {
      x: Date.UTC(2001, 9, 27, 0),
      y: 128,
      name: Date.UTC(2008, 11, 22, 0),
    },

    {
      x: Date.UTC(2001, 10, 3, 0),
      y: 192,
      name: Date.UTC(2008, 11, 29, 0),
    },

    {
      x: Date.UTC(2001, 10, 10, 0),
      y: 239,
      name: Date.UTC(2009, 0, 5, 0),
    },

    {
      x: Date.UTC(2001, 10, 17, 0),
      y: 298,
      name: Date.UTC(2009, 0, 12, 0),
    },

    {
      x: Date.UTC(2001, 10, 24, 0),
      y: 366,
      name: Date.UTC(2009, 0, 19, 0),
    },

    {
      x: Date.UTC(2001, 11, 1, 0),
      y: 439,
      name: Date.UTC(2009, 0, 26, 0),
    },

    {
      x: Date.UTC(2001, 11, 8, 0),
      y: 543,
      name: Date.UTC(2009, 1, 2, 0),
    },

    {
      x: Date.UTC(2001, 11, 15, 0),
      y: 623,
      name: Date.UTC(2009, 1, 9, 0),
    },

    {
      x: Date.UTC(2001, 11, 22, 0),
      y: 692,
      name: Date.UTC(2009, 1, 16, 0),
    },

    {
      x: Date.UTC(2001, 11, 29, 0),
      y: 738,
      name: Date.UTC(2009, 1, 23, 0),
    },

    {
      x: Date.UTC(2002, 0, 5, 0),
      y: 783,
      name: Date.UTC(2009, 2, 2, 0),
    },

    {
      x: Date.UTC(2002, 0, 12, 0),
      y: 819,
      name: Date.UTC(2009, 2, 9, 0),
    },

    {
      x: Date.UTC(2002, 0, 19, 0),
      y: 836,
      name: Date.UTC(2009, 2, 16, 0),
    },

    {
      x: Date.UTC(2002, 0, 26, 0),
      y: 850,
      name: Date.UTC(2009, 2, 23, 0),
    },

    {
      x: Date.UTC(2002, 1, 2, 0),
      y: 864,
      name: Date.UTC(2009, 2, 30, 0),
    },

    {
      x: Date.UTC(2002, 1, 9, 0),
      y: 875,
      name: Date.UTC(2009, 3, 6, 0),
    },

    {
      x: Date.UTC(2002, 1, 16, 0),
      y: 881,
      name: Date.UTC(2009, 3, 13, 0),
    },

    {
      x: Date.UTC(2002, 1, 23, 0),
      y: 884,
      name: Date.UTC(2009, 3, 20, 0),
    },

    {
      x: Date.UTC(2002, 2, 2, 0),
      y: 885,
      name: Date.UTC(2009, 3, 27, 0),
    },

    {
      x: Date.UTC(2002, 2, 9, 0),
      y: 888,
      name: Date.UTC(2009, 4, 4, 0),
    },

    {
      x: Date.UTC(2002, 2, 16, 0),
      y: 890,
      name: Date.UTC(2009, 4, 11, 0),
    },

    {
      x: Date.UTC(2002, 2, 23, 0),
      y: 892,
      name: Date.UTC(2009, 4, 18, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves805 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 2,
      name: Date.UTC(2012, 8, 26, 0),
    },

    {
      x: Date.UTC(2001, 8, 2, 0),
      y: 4,
      name: Date.UTC(2012, 8, 27, 0),
    },

    {
      x: Date.UTC(2001, 8, 3, 0),
      y: 5,
      name: Date.UTC(2012, 8, 28, 0),
    },

    {
      x: Date.UTC(2001, 8, 4, 0),
      y: 7,
      name: Date.UTC(2012, 8, 29, 0),
    },

    {
      x: Date.UTC(2001, 8, 5, 0),
      y: 9,
      name: Date.UTC(2012, 8, 30, 0),
    },

    {
      x: Date.UTC(2001, 8, 6, 0),
      y: 19,
      name: Date.UTC(2012, 9, 1, 0),
    },

    {
      x: Date.UTC(2001, 8, 7, 0),
      y: 34,
      name: Date.UTC(2012, 9, 2, 0),
    },

    {
      x: Date.UTC(2001, 8, 8, 0),
      y: 53,
      name: Date.UTC(2012, 9, 3, 0),
    },

    {
      x: Date.UTC(2001, 8, 9, 0),
      y: 88,
      name: Date.UTC(2012, 9, 4, 0),
    },

    {
      x: Date.UTC(2001, 8, 10, 0),
      y: 114,
      name: Date.UTC(2012, 9, 5, 0),
    },

    {
      x: Date.UTC(2001, 8, 11, 0),
      y: 129,
      name: Date.UTC(2012, 9, 6, 0),
    },

    {
      x: Date.UTC(2001, 8, 12, 0),
      y: 154,
      name: Date.UTC(2012, 9, 7, 0),
    },

    {
      x: Date.UTC(2001, 8, 13, 0),
      y: 186,
      name: Date.UTC(2012, 9, 8, 0),
    },

    {
      x: Date.UTC(2001, 8, 14, 0),
      y: 212,
      name: Date.UTC(2012, 9, 9, 0),
    },

    {
      x: Date.UTC(2001, 8, 15, 0),
      y: 231,
      name: Date.UTC(2012, 9, 10, 0),
    },

    {
      x: Date.UTC(2001, 8, 16, 0),
      y: 269,
      name: Date.UTC(2012, 9, 11, 0),
    },

    {
      x: Date.UTC(2001, 8, 17, 0),
      y: 300,
      name: Date.UTC(2012, 9, 12, 0),
    },

    {
      x: Date.UTC(2001, 8, 18, 0),
      y: 317,
      name: Date.UTC(2012, 9, 13, 0),
    },

    {
      x: Date.UTC(2001, 8, 19, 0),
      y: 327,
      name: Date.UTC(2012, 9, 14, 0),
    },

    {
      x: Date.UTC(2001, 8, 20, 0),
      y: 352,
      name: Date.UTC(2012, 9, 15, 0),
    },

    {
      x: Date.UTC(2001, 8, 21, 0),
      y: 381,
      name: Date.UTC(2012, 9, 16, 0),
    },

    {
      x: Date.UTC(2001, 8, 22, 0),
      y: 412,
      name: Date.UTC(2012, 9, 17, 0),
    },

    {
      x: Date.UTC(2001, 8, 23, 0),
      y: 441,
      name: Date.UTC(2012, 9, 18, 0),
    },

    {
      x: Date.UTC(2001, 8, 24, 0),
      y: 489,
      name: Date.UTC(2012, 9, 19, 0),
    },

    {
      x: Date.UTC(2001, 8, 25, 0),
      y: 507,
      name: Date.UTC(2012, 9, 20, 0),
    },

    {
      x: Date.UTC(2001, 8, 26, 0),
      y: 546,
      name: Date.UTC(2012, 9, 21, 0),
    },

    {
      x: Date.UTC(2001, 8, 27, 0),
      y: 605,
      name: Date.UTC(2012, 9, 22, 0),
    },

    {
      x: Date.UTC(2001, 8, 28, 0),
      y: 656,
      name: Date.UTC(2012, 9, 23, 0),
    },

    {
      x: Date.UTC(2001, 8, 29, 0),
      y: 701,
      name: Date.UTC(2012, 9, 24, 0),
    },

    {
      x: Date.UTC(2001, 8, 30, 0),
      y: 762,
      name: Date.UTC(2012, 9, 25, 0),
    },

    {
      x: Date.UTC(2001, 9, 1, 0),
      y: 832,
      name: Date.UTC(2012, 9, 26, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 894,
      name: Date.UTC(2012, 9, 27, 0),
    },

    {
      x: Date.UTC(2001, 9, 3, 0),
      y: 941,
      name: Date.UTC(2012, 9, 28, 0),
    },

    {
      x: Date.UTC(2001, 9, 4, 0),
      y: 959,
      name: Date.UTC(2012, 9, 29, 0),
    },

    {
      x: Date.UTC(2001, 9, 5, 0),
      y: 980,
      name: Date.UTC(2012, 9, 30, 0),
    },

    {
      x: Date.UTC(2001, 9, 6, 0),
      y: 1005,
      name: Date.UTC(2012, 9, 31, 0),
    },

    {
      x: Date.UTC(2001, 9, 7, 0),
      y: 1036,
      name: Date.UTC(2012, 10, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 8, 0),
      y: 1062,
      name: Date.UTC(2012, 10, 2, 0),
    },

    {
      x: Date.UTC(2001, 9, 9, 0),
      y: 1074,
      name: Date.UTC(2012, 10, 3, 0),
    },

    {
      x: Date.UTC(2001, 9, 10, 0),
      y: 1105,
      name: Date.UTC(2012, 10, 4, 0),
    },

    {
      x: Date.UTC(2001, 9, 11, 0),
      y: 1154,
      name: Date.UTC(2012, 10, 5, 0),
    },

    {
      x: Date.UTC(2001, 9, 12, 0),
      y: 1192,
      name: Date.UTC(2012, 10, 6, 0),
    },

    {
      x: Date.UTC(2001, 9, 13, 0),
      y: 1218,
      name: Date.UTC(2012, 10, 7, 0),
    },

    {
      x: Date.UTC(2001, 9, 14, 0),
      y: 1268,
      name: Date.UTC(2012, 10, 8, 0),
    },

    {
      x: Date.UTC(2001, 9, 15, 0),
      y: 1302,
      name: Date.UTC(2012, 10, 9, 0),
    },

    {
      x: Date.UTC(2001, 9, 16, 0),
      y: 1332,
      name: Date.UTC(2012, 10, 10, 0),
    },

    {
      x: Date.UTC(2001, 9, 17, 0),
      y: 1357,
      name: Date.UTC(2012, 10, 11, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves534 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 0,
      name: Date.UTC(2006, 0, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 1,
      name: Date.UTC(2006, 1, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 30, 0),
      y: 1,
      name: Date.UTC(2006, 2, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 30, 0),
      y: 1,
      name: Date.UTC(2006, 3, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 30, 0),
      y: 5,
      name: Date.UTC(2006, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 30, 0),
      y: 9,
      name: Date.UTC(2006, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 1, 0),
      y: 21,
      name: Date.UTC(2006, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 301,
      name: Date.UTC(2006, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 2, 0),
      y: 735,
      name: Date.UTC(2006, 8, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 1, 0),
      y: 964,
      name: Date.UTC(2006, 9, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 2, 0),
      y: 1041,
      name: Date.UTC(2006, 10, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 1, 0),
      y: 1044,
      name: Date.UTC(2006, 11, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 1044,
      name: Date.UTC(2007, 0, 1, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves550 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 222,
      name: Date.UTC(2001, 8, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 1, 0),
      y: 546,
      name: Date.UTC(2001, 9, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 1, 0),
      y: 920,
      name: Date.UTC(2001, 10, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 1, 0),
      y: 2247,
      name: Date.UTC(2001, 11, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 1, 0),
      y: 70613,
      name: Date.UTC(2002, 0, 1, 0),
    },

    {
      x: Date.UTC(2002, 1, 1, 0),
      y: 108834,
      name: Date.UTC(2002, 1, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 1, 0),
      y: 161916,
      name: Date.UTC(2002, 2, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 168862,
      name: Date.UTC(2002, 3, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 1, 0),
      y: 170018,
      name: Date.UTC(2002, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 1, 0),
      y: 170170,
      name: Date.UTC(2002, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 1, 0),
      y: 170252,
      name: Date.UTC(2002, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 1, 0),
      y: 170324,
      name: Date.UTC(2002, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 170379,
      name: Date.UTC(2002, 8, 1, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves537 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 202,
      name: Date.UTC(2006, 11, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 453,
      name: Date.UTC(2007, 0, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 2, 0),
      y: 640,
      name: Date.UTC(2007, 1, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 30, 0),
      y: 931,
      name: Date.UTC(2007, 2, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 31, 0),
      y: 1387,
      name: Date.UTC(2007, 3, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 30, 0),
      y: 2256,
      name: Date.UTC(2007, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 2, 0),
      y: 3701,
      name: Date.UTC(2007, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 5302,
      name: Date.UTC(2007, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 2, 0),
      y: 6353,
      name: Date.UTC(2007, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 2, 0),
      y: 7156,
      name: Date.UTC(2007, 8, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 2, 0),
      y: 7804,
      name: Date.UTC(2007, 9, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 2, 0),
      y: 8351,
      name: Date.UTC(2007, 10, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 8839,
      name: Date.UTC(2007, 11, 1, 0),
    },

  ];

  //plot the graph
  plotMultipleCurves = new Highcharts.Chart({
    chart: {
      renderTo: 'multipleCurves',
    },

    title: {
      text: 'Outbreak comparison',
    },

    series: [

      {
        data: cumulativeTimeSeriesMultipleCurves549,
        name: '64% | Australia (2008)',
        pointPlacement: 'between',
        zIndex: 5,
        marker: {
          enabled: false,
        },
        color: '#800026',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves805,
        name: '52% | Portugal (2012)',
        pointPlacement: 'between',
        zIndex: 4,
        marker: {
          enabled: false,
        },
        color: '#fd9841',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves534,
        name: '46% | China (2006)',
        pointPlacement: 'between',
        zIndex: 3,
        marker: {
          enabled: false,
        },
        color: '#fee288',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves550,
        name: '46% | Brazil (2001)',
        pointPlacement: 'between',
        zIndex: 2,
        marker: {
          enabled: false,
        },
        color: '#ffe691',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves537,
        name: '45% | Singapore (2006)',
        pointPlacement: 'between',
        zIndex: 1,
        marker: {
          enabled: false,
        },
        color: '#ffeda0',
      },
    ],

    xAxis: [{
      labels: {
        enabled: false,
      },
      tickLength: 0,
      title: {
        text: 'Time',
      },
    }],

    yAxis: [{
      title: {
        text: 'Cumulative cases',
      },
      min: 0,
      maxPadding: 0,
    }],

  });
}

<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://code.highcharts.com/2.2.4/highcharts.js"></script>
<script src="https://code.highcharts.com/2.2.4/highcharts-more.js"></script>
<div id="multipleCurves"></div>

现在的问题是 X 轴刻度/标签为空白。允许 Highcharts 为 X 轴标签放置日期显然没有意义。我不想放置绝对日期，而是放置相对日期。基本上，我想要一种方法来确定最长时间序列的长度并适当缩放相对标签。以下是一些示例:

在我上面显示的图表中，有“第 1 个月”、“第 2 个月”、“第 3 个月”等标签是有意义的。而且，如果标签/刻度太多，那么它会跳过适当的金额(例如“第 1 个月”、“第 4 个月”、“第 7 个月”)
如果最长的时间序列要短得多(例如 30 天)，那么标签将为“第 1 天”、“第 2 天”等。同样，它会在适当的时候跳过标签/刻度(例如，“第 1 天”、“第 8 天”、“第 15 天”)。

如何在 Highcharts 中实现这一点？

最佳答案

您可以使用xAxis.labels.formatter ，例如:

//set global chart options
$(document).ready(function() {
  Highcharts.setOptions({
    xAxis: {
      type: 'datetime',
    },

    yAxis: [{
      title: {
        text: 'FIXME',
        style: {
          color: '#4bb2c5',
        },
      },
      min: 0,
      maxPadding: 0,
    }, ],

    legend: {
      labelFormat: '<span style="font-size: xx-small;">{name}</span>',
    },

    tooltip: {
      formatter: function() {
        return Highcharts.dateFormat('%B %e, %Y', this.point.name) + "<br>Cases: " + this.point.y;
      }
    },
  });

  drawGraphMultipleCurves();
});

var plotMultipleCurves = null;

function drawGraphMultipleCurves() {
  //no need to redraw if we've already drawn the graph
  if (plotMultipleCurves != null)
    return;

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves549 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 1,
      name: Date.UTC(2008, 9, 27, 0),
    },

    {
      x: Date.UTC(2001, 8, 8, 0),
      y: 2,
      name: Date.UTC(2008, 10, 3, 0),
    },

    {
      x: Date.UTC(2001, 8, 15, 0),
      y: 7,
      name: Date.UTC(2008, 10, 10, 0),
    },

    {
      x: Date.UTC(2001, 8, 22, 0),
      y: 14,
      name: Date.UTC(2008, 10, 17, 0),
    },

    {
      x: Date.UTC(2001, 8, 29, 0),
      y: 33,
      name: Date.UTC(2008, 10, 24, 0),
    },

    {
      x: Date.UTC(2001, 9, 6, 0),
      y: 50,
      name: Date.UTC(2008, 11, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 13, 0),
      y: 65,
      name: Date.UTC(2008, 11, 8, 0),
    },

    {
      x: Date.UTC(2001, 9, 20, 0),
      y: 97,
      name: Date.UTC(2008, 11, 15, 0),
    },

    {
      x: Date.UTC(2001, 9, 27, 0),
      y: 128,
      name: Date.UTC(2008, 11, 22, 0),
    },

    {
      x: Date.UTC(2001, 10, 3, 0),
      y: 192,
      name: Date.UTC(2008, 11, 29, 0),
    },

    {
      x: Date.UTC(2001, 10, 10, 0),
      y: 239,
      name: Date.UTC(2009, 0, 5, 0),
    },

    {
      x: Date.UTC(2001, 10, 17, 0),
      y: 298,
      name: Date.UTC(2009, 0, 12, 0),
    },

    {
      x: Date.UTC(2001, 10, 24, 0),
      y: 366,
      name: Date.UTC(2009, 0, 19, 0),
    },

    {
      x: Date.UTC(2001, 11, 1, 0),
      y: 439,
      name: Date.UTC(2009, 0, 26, 0),
    },

    {
      x: Date.UTC(2001, 11, 8, 0),
      y: 543,
      name: Date.UTC(2009, 1, 2, 0),
    },

    {
      x: Date.UTC(2001, 11, 15, 0),
      y: 623,
      name: Date.UTC(2009, 1, 9, 0),
    },

    {
      x: Date.UTC(2001, 11, 22, 0),
      y: 692,
      name: Date.UTC(2009, 1, 16, 0),
    },

    {
      x: Date.UTC(2001, 11, 29, 0),
      y: 738,
      name: Date.UTC(2009, 1, 23, 0),
    },

    {
      x: Date.UTC(2002, 0, 5, 0),
      y: 783,
      name: Date.UTC(2009, 2, 2, 0),
    },

    {
      x: Date.UTC(2002, 0, 12, 0),
      y: 819,
      name: Date.UTC(2009, 2, 9, 0),
    },

    {
      x: Date.UTC(2002, 0, 19, 0),
      y: 836,
      name: Date.UTC(2009, 2, 16, 0),
    },

    {
      x: Date.UTC(2002, 0, 26, 0),
      y: 850,
      name: Date.UTC(2009, 2, 23, 0),
    },

    {
      x: Date.UTC(2002, 1, 2, 0),
      y: 864,
      name: Date.UTC(2009, 2, 30, 0),
    },

    {
      x: Date.UTC(2002, 1, 9, 0),
      y: 875,
      name: Date.UTC(2009, 3, 6, 0),
    },

    {
      x: Date.UTC(2002, 1, 16, 0),
      y: 881,
      name: Date.UTC(2009, 3, 13, 0),
    },

    {
      x: Date.UTC(2002, 1, 23, 0),
      y: 884,
      name: Date.UTC(2009, 3, 20, 0),
    },

    {
      x: Date.UTC(2002, 2, 2, 0),
      y: 885,
      name: Date.UTC(2009, 3, 27, 0),
    },

    {
      x: Date.UTC(2002, 2, 9, 0),
      y: 888,
      name: Date.UTC(2009, 4, 4, 0),
    },

    {
      x: Date.UTC(2002, 2, 16, 0),
      y: 890,
      name: Date.UTC(2009, 4, 11, 0),
    },

    {
      x: Date.UTC(2002, 2, 23, 0),
      y: 892,
      name: Date.UTC(2009, 4, 18, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves805 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 2,
      name: Date.UTC(2012, 8, 26, 0),
    },

    {
      x: Date.UTC(2001, 8, 2, 0),
      y: 4,
      name: Date.UTC(2012, 8, 27, 0),
    },

    {
      x: Date.UTC(2001, 8, 3, 0),
      y: 5,
      name: Date.UTC(2012, 8, 28, 0),
    },

    {
      x: Date.UTC(2001, 8, 4, 0),
      y: 7,
      name: Date.UTC(2012, 8, 29, 0),
    },

    {
      x: Date.UTC(2001, 8, 5, 0),
      y: 9,
      name: Date.UTC(2012, 8, 30, 0),
    },

    {
      x: Date.UTC(2001, 8, 6, 0),
      y: 19,
      name: Date.UTC(2012, 9, 1, 0),
    },

    {
      x: Date.UTC(2001, 8, 7, 0),
      y: 34,
      name: Date.UTC(2012, 9, 2, 0),
    },

    {
      x: Date.UTC(2001, 8, 8, 0),
      y: 53,
      name: Date.UTC(2012, 9, 3, 0),
    },

    {
      x: Date.UTC(2001, 8, 9, 0),
      y: 88,
      name: Date.UTC(2012, 9, 4, 0),
    },

    {
      x: Date.UTC(2001, 8, 10, 0),
      y: 114,
      name: Date.UTC(2012, 9, 5, 0),
    },

    {
      x: Date.UTC(2001, 8, 11, 0),
      y: 129,
      name: Date.UTC(2012, 9, 6, 0),
    },

    {
      x: Date.UTC(2001, 8, 12, 0),
      y: 154,
      name: Date.UTC(2012, 9, 7, 0),
    },

    {
      x: Date.UTC(2001, 8, 13, 0),
      y: 186,
      name: Date.UTC(2012, 9, 8, 0),
    },

    {
      x: Date.UTC(2001, 8, 14, 0),
      y: 212,
      name: Date.UTC(2012, 9, 9, 0),
    },

    {
      x: Date.UTC(2001, 8, 15, 0),
      y: 231,
      name: Date.UTC(2012, 9, 10, 0),
    },

    {
      x: Date.UTC(2001, 8, 16, 0),
      y: 269,
      name: Date.UTC(2012, 9, 11, 0),
    },

    {
      x: Date.UTC(2001, 8, 17, 0),
      y: 300,
      name: Date.UTC(2012, 9, 12, 0),
    },

    {
      x: Date.UTC(2001, 8, 18, 0),
      y: 317,
      name: Date.UTC(2012, 9, 13, 0),
    },

    {
      x: Date.UTC(2001, 8, 19, 0),
      y: 327,
      name: Date.UTC(2012, 9, 14, 0),
    },

    {
      x: Date.UTC(2001, 8, 20, 0),
      y: 352,
      name: Date.UTC(2012, 9, 15, 0),
    },

    {
      x: Date.UTC(2001, 8, 21, 0),
      y: 381,
      name: Date.UTC(2012, 9, 16, 0),
    },

    {
      x: Date.UTC(2001, 8, 22, 0),
      y: 412,
      name: Date.UTC(2012, 9, 17, 0),
    },

    {
      x: Date.UTC(2001, 8, 23, 0),
      y: 441,
      name: Date.UTC(2012, 9, 18, 0),
    },

    {
      x: Date.UTC(2001, 8, 24, 0),
      y: 489,
      name: Date.UTC(2012, 9, 19, 0),
    },

    {
      x: Date.UTC(2001, 8, 25, 0),
      y: 507,
      name: Date.UTC(2012, 9, 20, 0),
    },

    {
      x: Date.UTC(2001, 8, 26, 0),
      y: 546,
      name: Date.UTC(2012, 9, 21, 0),
    },

    {
      x: Date.UTC(2001, 8, 27, 0),
      y: 605,
      name: Date.UTC(2012, 9, 22, 0),
    },

    {
      x: Date.UTC(2001, 8, 28, 0),
      y: 656,
      name: Date.UTC(2012, 9, 23, 0),
    },

    {
      x: Date.UTC(2001, 8, 29, 0),
      y: 701,
      name: Date.UTC(2012, 9, 24, 0),
    },

    {
      x: Date.UTC(2001, 8, 30, 0),
      y: 762,
      name: Date.UTC(2012, 9, 25, 0),
    },

    {
      x: Date.UTC(2001, 9, 1, 0),
      y: 832,
      name: Date.UTC(2012, 9, 26, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 894,
      name: Date.UTC(2012, 9, 27, 0),
    },

    {
      x: Date.UTC(2001, 9, 3, 0),
      y: 941,
      name: Date.UTC(2012, 9, 28, 0),
    },

    {
      x: Date.UTC(2001, 9, 4, 0),
      y: 959,
      name: Date.UTC(2012, 9, 29, 0),
    },

    {
      x: Date.UTC(2001, 9, 5, 0),
      y: 980,
      name: Date.UTC(2012, 9, 30, 0),
    },

    {
      x: Date.UTC(2001, 9, 6, 0),
      y: 1005,
      name: Date.UTC(2012, 9, 31, 0),
    },

    {
      x: Date.UTC(2001, 9, 7, 0),
      y: 1036,
      name: Date.UTC(2012, 10, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 8, 0),
      y: 1062,
      name: Date.UTC(2012, 10, 2, 0),
    },

    {
      x: Date.UTC(2001, 9, 9, 0),
      y: 1074,
      name: Date.UTC(2012, 10, 3, 0),
    },

    {
      x: Date.UTC(2001, 9, 10, 0),
      y: 1105,
      name: Date.UTC(2012, 10, 4, 0),
    },

    {
      x: Date.UTC(2001, 9, 11, 0),
      y: 1154,
      name: Date.UTC(2012, 10, 5, 0),
    },

    {
      x: Date.UTC(2001, 9, 12, 0),
      y: 1192,
      name: Date.UTC(2012, 10, 6, 0),
    },

    {
      x: Date.UTC(2001, 9, 13, 0),
      y: 1218,
      name: Date.UTC(2012, 10, 7, 0),
    },

    {
      x: Date.UTC(2001, 9, 14, 0),
      y: 1268,
      name: Date.UTC(2012, 10, 8, 0),
    },

    {
      x: Date.UTC(2001, 9, 15, 0),
      y: 1302,
      name: Date.UTC(2012, 10, 9, 0),
    },

    {
      x: Date.UTC(2001, 9, 16, 0),
      y: 1332,
      name: Date.UTC(2012, 10, 10, 0),
    },

    {
      x: Date.UTC(2001, 9, 17, 0),
      y: 1357,
      name: Date.UTC(2012, 10, 11, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves534 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 0,
      name: Date.UTC(2006, 0, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 1,
      name: Date.UTC(2006, 1, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 30, 0),
      y: 1,
      name: Date.UTC(2006, 2, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 30, 0),
      y: 1,
      name: Date.UTC(2006, 3, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 30, 0),
      y: 5,
      name: Date.UTC(2006, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 30, 0),
      y: 9,
      name: Date.UTC(2006, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 1, 0),
      y: 21,
      name: Date.UTC(2006, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 301,
      name: Date.UTC(2006, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 2, 0),
      y: 735,
      name: Date.UTC(2006, 8, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 1, 0),
      y: 964,
      name: Date.UTC(2006, 9, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 2, 0),
      y: 1041,
      name: Date.UTC(2006, 10, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 1, 0),
      y: 1044,
      name: Date.UTC(2006, 11, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 1044,
      name: Date.UTC(2007, 0, 1, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves550 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 222,
      name: Date.UTC(2001, 8, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 1, 0),
      y: 546,
      name: Date.UTC(2001, 9, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 1, 0),
      y: 920,
      name: Date.UTC(2001, 10, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 1, 0),
      y: 2247,
      name: Date.UTC(2001, 11, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 1, 0),
      y: 70613,
      name: Date.UTC(2002, 0, 1, 0),
    },

    {
      x: Date.UTC(2002, 1, 1, 0),
      y: 108834,
      name: Date.UTC(2002, 1, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 1, 0),
      y: 161916,
      name: Date.UTC(2002, 2, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 168862,
      name: Date.UTC(2002, 3, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 1, 0),
      y: 170018,
      name: Date.UTC(2002, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 1, 0),
      y: 170170,
      name: Date.UTC(2002, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 1, 0),
      y: 170252,
      name: Date.UTC(2002, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 1, 0),
      y: 170324,
      name: Date.UTC(2002, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 170379,
      name: Date.UTC(2002, 8, 1, 0),
    },

  ];

  //shifted cumulative time series
  var cumulativeTimeSeriesMultipleCurves537 = [

    {
      x: Date.UTC(2001, 8, 1, 0),
      y: 202,
      name: Date.UTC(2006, 11, 1, 0),
    },

    {
      x: Date.UTC(2001, 9, 2, 0),
      y: 453,
      name: Date.UTC(2007, 0, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 2, 0),
      y: 640,
      name: Date.UTC(2007, 1, 1, 0),
    },

    {
      x: Date.UTC(2001, 10, 30, 0),
      y: 931,
      name: Date.UTC(2007, 2, 1, 0),
    },

    {
      x: Date.UTC(2001, 11, 31, 0),
      y: 1387,
      name: Date.UTC(2007, 3, 1, 0),
    },

    {
      x: Date.UTC(2002, 0, 30, 0),
      y: 2256,
      name: Date.UTC(2007, 4, 1, 0),
    },

    {
      x: Date.UTC(2002, 2, 2, 0),
      y: 3701,
      name: Date.UTC(2007, 5, 1, 0),
    },

    {
      x: Date.UTC(2002, 3, 1, 0),
      y: 5302,
      name: Date.UTC(2007, 6, 1, 0),
    },

    {
      x: Date.UTC(2002, 4, 2, 0),
      y: 6353,
      name: Date.UTC(2007, 7, 1, 0),
    },

    {
      x: Date.UTC(2002, 5, 2, 0),
      y: 7156,
      name: Date.UTC(2007, 8, 1, 0),
    },

    {
      x: Date.UTC(2002, 6, 2, 0),
      y: 7804,
      name: Date.UTC(2007, 9, 1, 0),
    },

    {
      x: Date.UTC(2002, 7, 2, 0),
      y: 8351,
      name: Date.UTC(2007, 10, 1, 0),
    },

    {
      x: Date.UTC(2002, 8, 1, 0),
      y: 8839,
      name: Date.UTC(2007, 11, 1, 0),
    },

  ];

  //plot the graph
  plotMultipleCurves = new Highcharts.Chart({
    chart: {
      renderTo: 'multipleCurves',
    },

    title: {
      text: 'Outbreak comparison',
    },

    series: [

      {
        data: cumulativeTimeSeriesMultipleCurves549,
        name: '64% | Australia (2008)',
        pointPlacement: 'between',
        zIndex: 5,
        marker: {
          enabled: false,
        },
        color: '#800026',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves805,
        name: '52% | Portugal (2012)',
        pointPlacement: 'between',
        zIndex: 4,
        marker: {
          enabled: false,
        },
        color: '#fd9841',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves534,
        name: '46% | China (2006)',
        pointPlacement: 'between',
        zIndex: 3,
        marker: {
          enabled: false,
        },
        color: '#fee288',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves550,
        name: '46% | Brazil (2001)',
        pointPlacement: 'between',
        zIndex: 2,
        marker: {
          enabled: false,
        },
        color: '#ffe691',
      },

      {
        data: cumulativeTimeSeriesMultipleCurves537,
        name: '45% | Singapore (2006)',
        pointPlacement: 'between',
        zIndex: 1,
        marker: {
          enabled: false,
        },
        color: '#ffeda0',
      },
    ],

    xAxis: [{
      labels: {
        formatter: function () {
          var relative = this.value - this.axis.dataMin,
              relativeDate = new Date(relative);
          return "Month " + (12 * (relativeDate.getFullYear() - 1970) + relativeDate.getMonth() + 1);
        }
      },
      tickLength: 0,
      title: {
        text: 'Time',
      },
    }],

    yAxis: [{
      title: {
        text: 'Cumulative cases',
      },
      min: 0,
      maxPadding: 0,
    }],

  });
}

<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://code.highcharts.com/2.2.4/highcharts.js"></script>
<script src="https://code.highcharts.com/2.2.4/highcharts-more.js"></script>
<div id="multipleCurves"></div>

关于javascript - 如何使 Highcharts 标记带有相对日期的日期时间 X 轴？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/35512766/

文章推荐： javascript - 使用 onclick 函数加载 Bootstrap Modal

javascript - anchor 标记(标记)onclick 事件处理程序不工作
虽然我在 reactjs 组件(组件名称为 renderLocationLink)的渲染方法返回的 html 中包含了 a 标签的 onclick 处理程序，但渲染正确地发生了 onclick 处理程
ms-word - docx - 标记/标记 - docx 转换
我必须以 docx 格式存储一些文档，但无法忍受使用 msword:我想编辑某种纯文本标记，除了基于 XML 的东西(我也不喜欢那样)和从/到那个到/从 docx 转换。有什么选择吗？编辑:由于人
javascript - 一旦设置了 anchor 标记，在延迟后如何单击 anchor 标记？
有一个页面，其 anchor 标记在延迟后变得可点击。我想使用用户脚本在可点击后点击它。页面加载时，HTML 源代码为: Download 延迟一段时间后，#button 变
python - 解析 XML，搜索目标起始标记，并忽略其上方的所有标记
我正在将 XML 文件解析为 pandas 数据帧。使用下面的代码我可以成功获取所有内容，但是这使用了完整 XML 的编辑版本。完整的 XML 在主数据表之上有一堆摘要数据，请参阅完整的 XML he
python - 如何在提供给 python 中的 xml.sax 解析器之前从 xml 文件中删除特殊字符和 & 标记(无效的 xml 标记)
目前我正在研究 xml.sax 解析器来解析 xml 文件假设我有以下代码 filepath = 'users/file.xml' try: parser = xml.sax.make_pa
ANTLR - 树中的隐式 AND 标记
我正在尝试构建一种语法来解释用户输入的文本，搜索引擎风格。它将支持 AND、OR、NOT 和 ANDNOT bool 运算符。我几乎所有东西都在工作，但我想添加一个规则，将引用字符串之外的两个相邻关键
Terraform EKS 标记
我遇到了 Terraform EKS 标记的问题，并且似乎没有找到可行的解决方案来在创建新集群时标记所有 VPC 子网。提供一些上下文:我们有一个 AWS VPC，我们在其中将多个 EKS 集群部署
xpath - XPath返回XHTML文件中的第一个标记
我是xpath的新手，对此了解不多。我知道有一种方法可以使用xpath在xml / xhtml文件中查找特定标签。就我而言，我试图找到第一个（a）链接元素。不幸的是，我的xpath字符串[// a [
javascript - 单击内部按钮时防止单击父 A 标记
我在索引页上的产品卡上遇到问题。在产品卡内部，我有 Vue 组件来渲染表单(数量和添加到购物车按钮)。当我单击“添加到购物车”按钮时，我得到了预期的结果。响应被发送到根 vue 组件，然后我看到产品已
css - 背景颜色不适用于标记
html setMouse(true)} onMouseEnter={() => setMouse(false)} className='resume-container'> CSS .resum
delphi - 标记/取消标记一组枚举中的另一个选项
我在组件中有一组枚举，如下所示: type TOption = (clVisible, clVisibleAlways, clRenderable, clEditable); TOptions
用于性能考虑的 Javadoc 标记
是否有出于性能考虑的javadoc标签？人们可以想象: /** * ...other javadoc tags... * @perform Expected to run in O(n) tim
css - 背景颜色不适用于标记
html setMouse(true)} onMouseEnter={() => setMouse(false)} className='resume-container'> CSS .resum
Neo4j:更快的子图着色/标记
我有一个包含多个小子图的图。目标是当且仅当子图中的所有节点都是蓝色时，才将子图中的所有蓝色节点标记为红色。如果子图中的一个节点具有不同的颜色，绿色，那么我们将不会更改该子图中节点的颜色。这是我正在使
多个事件的 Gmail 标记
我正在使用 json-ld 开发事件标记以包含在确认电子邮件中。我的一些事件会定期重复发生。但是，最新的 Schema.org 规范不支持重复发生的事件，因此我遵循了此处提供的建议:http://l
java - 标记 -> 转到行号
我创建了一个插件，可以添加带有相应行号的标记。现在，这很棒，因为它现在显示在“标记” View 中。有没有办法当我双击标记上的一行时，它会转到标记指示的行？谢谢。最佳答案双击“标记” View
jquery - Facebook 标记
是否有一个插件具有与 Facebook 标记类似的行为？它的特别之处在于它具有: 在键入的单词之间自动完成特殊输出的 html(与另一个输入字段同步) 最佳答案您可以使用jquery提及输入pl
java - 分割字符串/标记
有没有更好的方法来读取java文件中的 token ？我目前正在使用 StringTokenizer 来分割 token 。但在大多数情况下，它的效率可能非常低，因为您必须逐个 token 地读取 t
Java:标记/标记文件
我想知道是否有某种方法可以标记文件来识别该文件是否包含x。考虑以下示例: 在批量转换过程中，我正在创建一个日志文件，其中列出了各个转换的成功/失败。所以流程如下: 开始转换过程创建名为batch
jquery模拟点击html anchor 标记
我一直在尝试模拟点击标签，但这并没有像我需要的那样工作。我的 anchor 标记看起来像这样 Download this pic 正常的 $("a").click() 或 trigger('cli

行者123

个人简介

我是一名优秀的程序员,十分优秀！

作者热门文章

滴滴打车优惠券免费领取

全站热门文章

首页

博学

6Ren·AI

商城

javascript - 如何使 Highcharts 标记带有相对日期的日期时间 X 轴？