Question

我目前正在尝试使用带有堆栈插件的flot js显示条形图。但是，数据没有正确堆叠，并且也重叠了。该数据集非常大，并使用linux时间戳来匹配时间数组。

我同时包括了代码和js小提琴。

这是我的代码：

jQuery(document).ready(function() {
  var $dataMonths = [
    [1535752800, 'Sep (2018)'],
    [1538344800, 'Okt (2018)'],
    [1541026800, 'Nov (2018)'],
    [1543618800, 'Dec (2018)'],
    [1546297200, 'Jan (2019)'],
    [1548975600, 'Feb (2019)'],
    [1551394800, 'Mars (2019)'],
    [1554069600, 'Apr (2019)'],
    [1556661600, 'Maj (2019)'],
    [1559340000, 'Jun (2019)'],
    [1561932000, 'Jul (2019)'],
    [1564610400, 'Aug (2019)'],
    [1567288800, 'Sep (2019)'],
    [1569880800, 'Okt (2019)'],
  ];

  /** BAR CHART */
  var dataset = [{
    label: "id8",
    data: [
      [1569880800, 210]
    ],
    stack: true
  }, {
    label: "id3",
    data: [
      [1569880800, 800]
    ],
    stack: true
  }, {
    label: "id4",
    data: [
      [1569880800, 800]
    ],
    stack: true
  }, {
    label: "id16",
    data: [
      [1569880800, 300],
      [1575154800, 300]
    ],
    stack: true
  }, {
    label: "id12",
    data: [
      [1569880800, 1834],
      [1572562800, 185],
      [1575154800, 75]
    ],
    stack: true
  }, {
    label: "id9",
    data: [
      [1569880800, 150],
      [1572562800, 450],
      [1575154800, 900],
      [1577833200, 750]
    ],
    stack: true
  }, {
    label: "id5",
    data: [
      [1569880800, 400],
      [1577833200, 300]
    ],
    stack: true
  }, {
    label: "id17",
    data: [
      [1572562800, 300]
    ],
    stack: true
  }, {
    label: "id13",
    data: [
      [1572562800, 300],
      [1575154800, 300]
    ],
    stack: true
  }, {
    label: "id15",
    data: [
      [1572562800, 350],
      [1575154800, 1550]
    ],
    stack: true
  }, {
    label: "id7",
    data: [
      [1572562800, 338]
    ],
    stack: true
  }, {
    label: "id11",
    data: [
      [1572562800, 235]
    ],
    stack: true
  }, {
    label: "id10/",
    data: [
      [1572562800, 150]
    ],
    stack: true
  }, {
    label: "id14",
    data: [
      [1572562800, 1450],
      [1575154800, 1200]
    ],
    stack: true
  }, {
    label: "id2",
    data: [
      [1575154800, 600]
    ],
    stack: true
  }, {
    label: "id6",
    data: [
      [1575154800, 300]
    ],
    stack: true
  }, {
    label: "id18",
    data: [
      [1575154800, 300],
      [1577833200, 300]
    ],
    stack: true
  }, {
    label: "id1",
    data: [
      [1575154800, 300],
      [1577833200, 1200]
    ],
    stack: true
  }, {
    label: "null",
    data: [
      [1577833200, 950],
      [1580511600, 4905],
      [1583017200, 1350]
    ],
    stack: true
  }];

  var linkTotalEearnings = [];
  linkTotalEearnings["null"] = "7205";
  linkTotalEearnings["id1"] = "1500";
  linkTotalEearnings["id2"] = "600";
  linkTotalEearnings["id3"] = "800";
  linkTotalEearnings["id4"] = "800";
  linkTotalEearnings["id5"] = "700";
  linkTotalEearnings["id6"] = "300";
  linkTotalEearnings["id7"] = "338";
  linkTotalEearnings["id8"] = "210";
  linkTotalEearnings["id9"] = "2250";
  linkTotalEearnings["id10/"] = "150";
  linkTotalEearnings["id11"] = "235";
  linkTotalEearnings["id12"] = "2094";
  linkTotalEearnings["id13"] = "600";
  linkTotalEearnings["id14"] = "2650";
  linkTotalEearnings["id15"] = "1900";
  linkTotalEearnings["id16"] = "600";
  linkTotalEearnings["id17"] = "300";
  linkTotalEearnings["id18"] = "600";

  var $barChart = jQuery("#link-url-sales-graph");

  $.plot($barChart, dataset, {
    series: {
      bars: {
        show: true,
        align: "center",
        barWidth: 1000000,
        lineWidth: 0,
      }
    },
    xaxis: {
      //mode: "categories",
      showTicks: true,
      gridLines: false,
      ticks: $dataMonths,
      tickLength: 1,
    },
    grid: {
      hoverable: true,
      borderWidth: 0,
    },
    yaxis: {
      allowDecimals: false,
      gridLines: false,
      tickColor: '#f5f5f5'
    },
    legend: {
      show: true,
      container: jQuery("#link-url-sales-legend-container"),
      labelFormatter: function(label, series) {
        // series is the series object for the label
        return '<span>' + label + ' (<strong>' + linkTotalEearnings[label] + ' units</strong>)</span>';
      },
      sorted: function(a, b) {
        var aVal = parseInt(a.label.substring(
          a.label.lastIndexOf("(<strong>") + 9,
          a.label.lastIndexOf(" units</strong>)")
        ));

        var bVal = parseInt(b.label.substring(
          b.label.lastIndexOf("(<strong>") + 9,
          b.label.lastIndexOf(" units</strong>)")
        ));

        return aVal == bVal ? 0 : (
          aVal > bVal ? -1 : 1
        );
      },
      noColumns: 1,
      backgroundOpacity: 0
    }
  });

  var previousPoint = null,
    ttlabel = null;
  $barChart.bind('plothover', function(event, pos, item) {
    if (item) {
      //console.log(item);
      if (previousPoint !== item.dataIndex) {
        previousPoint = item.dataIndex;
        console.log(item);
        jQuery('.js-flot-tooltip').remove();

        var x = item.datapoint[0],
          y = item.datapoint[1];

        var label = item.series != '' ? item.series.label : '';
        var amount = item.datapoint[1] - item.datapoint[2];

        jQuery('<div class="js-flot-tooltip flot-tooltip">' + label + ' (' + amount + ' units)</div>')
          .css({
            top: item.pageY - 45,
            left: item.pageX + 5
          }).appendTo("body").show();
      }
    } else {
      jQuery('.js-flot-tooltip').remove();
      previousPoint = null;
    }
  });
});

<script src="https://code.jquery.com/jquery-3.4.1.slim.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/flot/0.8.3/jquery.flot.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/flot/0.8.3/jquery.flot.stack.min.js"></script>

<h1>
  Chart
</h1>
<div id="link-url-sales-graph" style="height: 500px;"></div>
<div id="link-url-sales-legend-container" class="mt-2"></div>

这是我的jsfiddle：https://jsfiddle.net/ethor/dgp618kb/5/

Answer 1

您需要为每个数据系列中的每个时间戳记添加一个值（用零填充）。像这样：

var dataset = [{
  label: "id8",
  data: [
    [1569880800, 210],
    [1572562800, 0],
    [1575154800, 0],
    [1577833200, 0]
  ],
  stack: true
},
{
  label: "id3",
  data: [
    [1569880800, 800],
    [1572562800, 0],
    [1575154800, 0],
    [1577833200, 0]
  ],
  stack: true
},
{
...

这是因为堆积条形图的起始位置的计算方式类似于300 + 0 + 400 + 0 + 300 + 300 + ...。如果您没有所有值，则会得到300 + undefined + 400 + undefined + ...这样的计算，它们会为条形图提供错误的位置。

有关工作示例，请参见此更新的fiddle（我删除了一些数据，以便更轻松地填写所有缺失的值）。

Flot JS条形图不堆叠和重叠

1 个答案: