javascript - 倾斜文本时重复 hAxis 标签 - Google Charts

Question

我们在 MVC 项目中使用 Google Charts。

我们已经设法实现了图表，但是我们遇到了一个小问题。

每当我们将文本倾斜 90 度时，hAxis 标签就会重复(见下文)。

我们希望文本倾斜 90 度，但标签只在 hAxis 上出现一次(见下文)。

我们尝试过的事情(对图表没有影响):

设置 hAxis 网格线:

 hAxis: {
           slantedText: true,
           slantedTextAngle: 90,
           gridlines: {count: 7}
        },

设置 hAxis 次要网格线:

hAxis: {
          slantedText: true,
          slantedTextAngle: 90,
          minorGridlines: { count: 5 }
       },

有没有一种方法可以使 hAxis 标签达到预期的结果？

Answer 1

当使用 continuous axis 时,
提供您自己的 ticks 以确保不重复...

ticks 采用与轴具有相同数据类型的值数组

每个刻度可以是原始值，例如日期 --> new Date(2017, 3, 2)

或者你可以使用对象符号，
提供值 (v:) 和格式化值 (f:)

{v: new Date(2017, 3, 2), f: '2017'}

这些可以动态构建，使用数据表的方法 --> getColumnRange
它返回一个对象，该对象具有列的 min 和 max 值

google.charts.load('current', {
  callback: function () {
    var data = google.visualization.arrayToDataTable([
      [{type: 'date'}, {type: 'number'}, {type: 'number'}],
      [new Date(2008, 2, 5), 10, 2],
      [new Date(2008, 6, 6), 25, 4],
      [new Date(2008, 10, 8), 30, 6],
      [new Date(2009, 3, 2), 50, 7],
      [new Date(2009, 8, 12), 60, 8],
      [new Date(2009, 11, 20), 62, 9],
      [new Date(2010, 2, 5), 64, 10],
      [new Date(2010, 6, 6), 70, 10],
      [new Date(2010, 10, 8), 71, 10],
      [new Date(2011, 3, 2), 100, 12],
      [new Date(2012, 8, 12), 125, 12],
      [new Date(2012, 11, 20), 160, 12],
      [new Date(2013, 10, 8), 71, 10],
      [new Date(2014, 3, 2), 100, 12],
      [new Date(2015, 8, 12), 125, 12],
      [new Date(2016, 9, 20), 160, 12],
      [new Date(2016, 10, 8), 71, 10],
      [new Date(2017, 3, 2), 100, 12],
      [new Date(2017, 5, 12), 125, 12],
      [new Date(2017, 6, 20), 160, 12]
    ]);

    var dateRange = data.getColumnRange(0);
    var oneYear = (1000 * 60 * 60 * 24 * 365.25);
    var ticksAxisH = [];
    for (var i = dateRange.min.getTime(); i <= dateRange.max.getTime(); i = i + oneYear) {
      var tick = new Date(i);
      ticksAxisH.push({
        v: tick,
        f: tick.getFullYear().toString()
      });
    }

    var options = {
      hAxis: {
        ticks: ticksAxisH
      },
      legend: 'none'
    };

    var chart = new google.visualization.LineChart($('#chart').get(0));
    chart.draw(data, options);
  },
  packages:['corechart']
});

<script src="https://www.gstatic.com/charts/loader.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<div id="chart"></div>

---

编辑

ticks 选项仅受连续轴(日期、数字等...)支持
并且对于离散轴(字符串)不可用

使用数据 View 将第一列转换为数字...

// convert first column to number
var view = new google.visualization.DataView(data);
view.setColumns([{
  calc: function (dt, row) {
    return parseInt(dt.getValue(row, 0));
  },
  label: data.getColumnLabel(0),
  type: 'number'
}, 1, 2]);

然后使用数据表/查看方法 --> getDistinctValues(colIndex)
这将返回列中不同值的数组，
可用于 ticks

请参阅以下工作片段...

google.charts.load('current', {
  callback: function () {
    var data = new google.visualization.DataTable({
      "cols": [
        {"type": "string" ,"id": "Data" ,"label": "Label" },
        {"type": "number" ,"id": "Performance" ,"label": "Performance" },
        {"type": "number" ,"id": "Index" ,"label": "Index" }
      ],
      "rows": [
        {"c" : [{"v": "2008"}, {"v": 0}, {"v": "0"}]},
        {"c" : [{"v": "2008"}, {"v": 0.07103609}, {"v": "0.0052939"}]},
        {"c" : [{"v": "2008"}, {"v": 0.12668605420031}, {"v": "0.0152939"}]},
        {"c" : [{"v": "2009"}, {"v": 0.27103609}, {"v": "0.0252939"}]},
        {"c" : [{"v": "2009"}, {"v": 0.32668605420031}, {"v": "0.0352939"}]},
        {"c" : [{"v": "2010"}, {"v": 0.37103609}, {"v": "0.0452939"}]},
        {"c" : [{"v": "2010"}, {"v": 0.42668605420031}, {"v": "0.0552939"}]},
        {"c" : [{"v": "2011"}, {"v": 0.47103609}, {"v": "0.0652939"}]},
        {"c" : [{"v": "2011"}, {"v": 0.52668605420031}, {"v": "0.0752939"}]},
        {"c" : [{"v": "2012"}, {"v": 0.57103609}, {"v": "0.0852939"}]},
        {"c" : [{"v": "2012"}, {"v": 0.62668605420031}, {"v": "0.0952939"}]},
        {"c" : [{"v": "2013"}, {"v": 0.67103609}, {"v": "0.1052939"}]},
        {"c" : [{"v": "2013"}, {"v": 0.72668605420031}, {"v": "0.2152939"}]}
      ]
    });

    // convert first column to number
    var view = new google.visualization.DataView(data);
    view.setColumns([{
      calc: function (dt, row) {
        return parseInt(dt.getValue(row, 0));
      },
      label: data.getColumnLabel(0),
      type: 'number'
    }, 1, 2]);

    var options = {
      hAxis: {
        format: '0',
        ticks: view.getDistinctValues(0)
      },
      legend: 'none'
    };

    var chart = new google.visualization.LineChart($('#chart').get(0));
    chart.draw(view, options);  // <-- use view to draw chart
  },
  packages:['corechart']
});

<script src="https://www.gstatic.com/charts/loader.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<div id="chart"></div>

---

编辑 2

另一种选择是将轴保留为离散(字符串)，
并简单地从数据中删除重复的标签

这也可以使用数据 View 来完成...

// remove duplicates from first column
var view = new google.visualization.DataView(data);
view.setColumns([{
  calc: function (dt, row) {
    var xValue = dt.getValue(row, 0);
    if ((row > 0) && (xValue === dt.getValue(row - 1, 0))) {
      return null;
    } else {
      return xValue;
    }
  },
  label: data.getColumnLabel(0),
  type: 'string'
}, 1, 2]);

请参阅以下工作片段...

google.charts.load('current', {
  callback: function () {
    var data = new google.visualization.DataTable({
      "cols": [
        {"type": "string" ,"id": "Data" ,"label": "Label" },
        {"type": "number" ,"id": "Performance" ,"label": "Performance" },
        {"type": "number" ,"id": "Index" ,"label": "Index" }
      ],
      "rows": [
        {"c" : [{"v": "2008"}, {"v": 0}, {"v": "0"}]},
        {"c" : [{"v": "2008"}, {"v": 0.07103609}, {"v": "0.0052939"}]},
        {"c" : [{"v": "2008"}, {"v": 0.12668605420031}, {"v": "0.0152939"}]},
        {"c" : [{"v": "2009"}, {"v": 0.27103609}, {"v": "0.0252939"}]},
        {"c" : [{"v": "2009"}, {"v": 0.32668605420031}, {"v": "0.0352939"}]},
        {"c" : [{"v": "2010"}, {"v": 0.37103609}, {"v": "0.0452939"}]},
        {"c" : [{"v": "2010"}, {"v": 0.42668605420031}, {"v": "0.0552939"}]},
        {"c" : [{"v": "2011"}, {"v": 0.47103609}, {"v": "0.0652939"}]},
        {"c" : [{"v": "2011"}, {"v": 0.52668605420031}, {"v": "0.0752939"}]},
        {"c" : [{"v": "2012"}, {"v": 0.57103609}, {"v": "0.0852939"}]},
        {"c" : [{"v": "2012"}, {"v": 0.62668605420031}, {"v": "0.0952939"}]},
        {"c" : [{"v": "2013"}, {"v": 0.67103609}, {"v": "0.1052939"}]},
        {"c" : [{"v": "2013"}, {"v": 0.72668605420031}, {"v": "0.2152939"}]}
      ]
    });

    // remove duplicates from first column
    var view = new google.visualization.DataView(data);
    view.setColumns([{
      calc: function (dt, row) {
        var xValue = dt.getValue(row, 0);
        if ((row > 0) && (xValue === dt.getValue(row - 1, 0))) {
          return null;
        } else {
          return xValue;
        }
      },
      label: data.getColumnLabel(0),
      type: 'string'
    }, 1, 2]);

    var options = {
      chartArea: {
        height: '100%',
        width: '100%',
        top: 12,
        left: 24,
        bottom: 48,
        right: 4
      },
      hAxis: {
        maxAlternation: 1
      },
      height: '100%',
      legend: 'none',
      width: '100%'
    };

    var chart = new google.visualization.LineChart($('#chart').get(0));
    chart.draw(view, options);
    $(window).resize(function() {
      chart.draw(view, options);
    });
  },
  packages:['corechart']
});

<script src="https://www.gstatic.com/charts/loader.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<div id="chart"></div>