Making Interactive Charts: Creating Pie Charts and Dashboard Charts with Plotly.js, Part 5

If you've been following this series since the beginning, you may have noticed that Plotly.js uses the same scatter type to create line and bubble charts. The only difference is that we have to set mode to lines when creating a line chart and markers to when creating a bubble chart mode.

Similarly, Plotly.js allows you to create pie charts, donut charts, and gauge charts by using the same value for the type property and changing the values ​​of other properties depending on the chart you want to create.

Creating pie charts in Plotly.js

You can create a pie chart in Plotly.js by setting the type property to pie. There are other properties such as opacity, visible, and name that are also common to other chart types. The name attribute is used to provide the name of the current pie trace. This name is then shown in the legend for identification. You can show or hide the pie chart trace in the chart legend by setting the showlegend property to true or false respectively. You can use the labels attribute to set label names for different parts of the pie chart.

For pie charts, marker objects are used to control the appearance of different parts of the chart. The color property nested within marker can be used to set the color of each slice of the pie chart. The colors of different sectors can be specified as array values ​​of the color property.

You can also set the color and width of all lines surrounding each sector using the color and width properties nested within the line object. You also have the option of sorting all slices of the pie chart from largest to smallest using the boolean sort property. Likewise, with the help of the direction property, you can change the direction of a sector to clockwise or counterclockwise .

The following code creates a basic pie chart that lists the forest area of ​​the top five countries in the world.

var pieDiv = document.getElementById("pie-chart");

var traceA = {
  type: "pie",
  values: [8149300, 4916438, 4776980, 3100950, 2083210],
  labels: ['Russia', 'Canada', 'Brazil', 'United States', 'China']
};

var data = [traceA];

var layout = {
  title: "Area Under Forest for Different Countries"
};

Plotly.plot(pieDiv, data, layout);

As you can see, we no longer use the x and y properties to specify the points we want to plot. Now, this is done with the help of values and labels. The percentage is automatically determined based on the entered value.

By default, the first slice of the pie chart starts at 12 o'clock. You can change the starting angle of the chart using the rotation property, which accepts values ​​between -360 and 360. The default 12 o'clock value is equal to angle 0.

If you want a certain slice in the chart to stand out, you can use the pull property, which accepts a number or an array of numbers with values ​​between 0 and 1. pull Property is used to pull the specified sector from the pie chart. The pull distance is equal to a fraction of the larger radius of the pie or donut.

It is very easy to convert a pie chart into a donut chart by specifying the value of the hole attribute. It will cut out a given radius portion from the pie chart to make a donut chart.

You can control the colors of individual sectors in the pie chart using the colors property nested within the marker object. You can also change the width and color of the line surrounding each sector with the help of the width and color properties nested within the line object. The default width of the bounding line is 0. This means that by default no lines are drawn around the sectors.

There is also a hovertext attribute that can be used to provide some additional text information for each individual sector. This information will be visible to viewers when they hover over a sector. One of the conditions for displaying text is that the hoverinfo attribute should contain the text flag. You can set the text color inside or outside the pie chart sectors using the family, size, and color properties nested in insidetextfont and outsidetextfont are objects respectively.

以下代码使用之前饼图中的数据来创建一个圆环图，该圆环图使用我们刚刚了解的其他属性。

var pieDiv = document.getElementById("pie-chart");

var traceA = {
  type: "pie",
  values: [8149300, 4916438, 4776980, 3100950, 2083210],
  labels: ['Russia', 'Canada', 'Brazil', 'United States', 'China'],
  hole: 0.25,
  pull: [0.1, 0, 0, 0, 0],
  direction: 'clockwise',
  marker: {
    colors: ['#CDDC39', '#673AB7', '#F44336', '#00BCD4', '#607D8B'],
    line: {
      color: 'black',
      width: 3
    }
  },
  textfont: {
    family: 'Lato',
    color: 'white',
    size: 18
  },
  hoverlabel: {
    bgcolor: 'black',
    bordercolor: 'black',
    font: {
      family: 'Lato',
      color: 'white',
      size: 18
    }
  }
};

var data = [traceA];

var layout = {
  title: "Area Under Forest for Different Countries"
};

Plotly.plot(pieDiv, data, layout);

在 Plotly.js 中创建仪表图表

仪表图的基本结构与圆环图类似。这意味着我们可以使用一些巧妙选择的值并通过仍然将 type 属性设置为 pie 来创建简单的仪表图表。基本上，我们将隐藏整个饼图的某些部分，使其看起来像仪表图。

首先，我们需要为 values 属性选择一些值。为了简单起见，我将使用饼图的上半部分作为我的仪表图。这意味着这些值应该在我想要可见的部分和我想要隐藏的饼图部分之间平均分配。图表的可见部分可以进一步分为更小的部分。以下是为仪表图表选择值的示例。

values: [100 / 5, 100 / 5, 100 / 5, 100 / 5, 100 / 5, 100]

上行中的数字 100 是任意的。可以看到，前五个切片加起来是100，这也是为饼图隐藏区域设置的值。这将整个馅饼平均分为隐藏部分和可见部分。

这是创建基本仪表图表的完整代码。您应该注意到，我已将应隐藏的扇区的颜色属性设置为白色。同样，相应扇区的 text 和 labels 值也已设置为空字符串。 rotation 属性已设置为 90，以便图表不会从默认的 12 点钟位置绘制。

var gaugeDiv = document.getElementById("gauge-chart");

var traceA = {
  type: "pie",
  showlegend: false,
  hole: 0.4,
  rotation: 90,
  values: [100 / 5, 100 / 5, 100 / 5, 100 / 5, 100 / 5, 100],
  text: ["Very Low", "Low", "Average", "Good", "Excellent", ""],
  direction: "clockwise",
  textinfo: "text",
  textposition: "inside",
  marker: {
    colors: ["rgba(255, 0, 0, 0.6)", "rgba(255, 165, 0, 0.6)", "rgba(255, 255, 0, 0.6)", "rgba(144, 238, 144, 0.6)", "rgba(154, 205, 50, 0.6)", "white"]
  },
  labels: ["0-10", "10-50", "50-200", "200-500", "500-2000", ""],
  hoverinfo: "label"
};

代码的下一部分涉及仪表图表的指针。您为 Degrees 变量设置的值将确定绘制针的角度。 radius 变量决定针的长度。属性 x0 和 y0 用于设置线条的起点。同样，属性 x1 和 y1 用于设置线条的终点。

您可以借助 SVG 路径为针创建更复杂的形状。您所要做的就是将 type 属性设置为 path 并使用 path 属性指定实际路径。您可以在参考的布局形状部分阅读更多相关信息。

var degrees = 115, radius = .6;
var radians = degrees * Math.PI / 180;
var x = -1 * radius * Math.cos(radians);
var y = radius * Math.sin(radians);

var layout = {
  shapes:[{
      type: 'line',
      x0: 0,
      y0: 0,
      x1: x,
      y1: 0.5,
      line: {
        color: 'black',
        width: 8
      }
    }],
  title: 'Number of Printers Sold in a Week',
  xaxis: {visible: false, range: [-1, 1]},
  yaxis: {visible: false, range: [-1, 1]}
};

var data = [traceA];

Plotly.plot(gaugeDiv, data, layout, {staticPlot: true});

本节的所有代码都会创建以下仪表图表。目前，该图表不是很奇特，但它可以作为一个很好的起点。

最终想法

在本教程中，您学习了如何使用 Plotly.js 中的 pie 跟踪类型创建饼图和圆环图。您还学习了如何仔细设置一些属性的值，以将这些饼图转换为简单的仪表图。您可以在参考页面上阅读有关饼图及其不同属性的更多信息。

这是我们的交互式 Plotly.js 图表系列的最后一个教程。第一个介绍性教程为您提供了该库的概述。第二、第三和第四教程分别向您展示了如何创建折线图、条形图和气泡图。我希望您喜欢本教程以及整个系列。如果您有任何疑问，请随时在评论中告诉我。

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