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HomeWeb Front-endJS TutorialHow to create your first chart using FusionCharts.js?

如何使用 FusionCharts.js 创建您的第一个图表?

FusionCharts 是一个 JavaScript 库,当您想要创建图表和地图并将其放入您的 Web 中时可以使用它应用。在本教程中,我们将展示如何使用 FusionChart.js 创建两个不同的图表。

在学习如何创建图表之前,第一件重要的事情是了解如何将 FusionCharts 安装到本地计算机上。

安装FusionCharts

我们可以通过多种方式安装 FusionCharts。

使用 CDN

您可以使用下面给出的CDN链接直接访问FusionCharts的文件。

<script src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>

从 NPM 安装

您可以使用 NPM 将库作为依赖项安装到代码中。使用以下命令安装FusionCharts。

npm install --save fusioncharts

上述命令会将 FusionCharts 保存为项目中的 dev 依赖项。

既然我们知道了如何安装 FusionCharts,那么让我们来探讨一下我们将使用 FusionCharts 创建的几个图表示例。

示例 1

第一个示例是一个简单的条形图,我们将在 FusionCharts 的帮助下创建它,该图按国家/地区描述了亿万富翁的数量。考虑下面所示的代码。

index.html

<html>
<head>
   <title>FusionChart Example - 1</title>
   <script type="text/javascript"src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>
   <script type="text/javascript"src="https://cdn.fusioncharts.com/fusioncharts/latest/themes/fusioncharts.theme.fusion.js"></script>
   <script type="text/javascript">
      const chartData = [{
         "label": "United States","value": "735"
      }, {
            "label": "Mainland China","value": "539"
      }, {
            "label": "India", "value": "166"
      }, {
            "label": "Germany", "value": "134"
      }, {
            "label": "Russia", "value": "83"
      }, {
            "label": "Hong Kong", "value": "67"
      }, {
            "label": "Canada", "value": "64"
      }, {
            "label": "Brazil", "value": "62"
      }, {
            "label": "Italy", "value": "52"
      }, {
            "label": "Taiwan", "value": "51"
      }];
      const chartConfig = {
         type: 'column2d',
         renderAt: 'chart-container',
         width: '100%',
         height: '400',
         dataFormat: 'json',
         dataSource: {
            // Configuration of Chart
            "chart": {
               "caption": "Billionares By Country Wise[2022]",
               "subCaption": "According to Forbes",
               "xAxisName": "Country",
               "yAxisName": "Billionares",
               "theme": "fusion",
            },
            // Actual Chart Data
            "data": chartData
         }
      };
      FusionCharts.ready(function() {
         var fusioncharts = new FusionCharts(chartConfig);
         fusioncharts.render();
      });
   </script>
</head>
<body>
   <div id="chart-container">FusionCharts!!</div>
</body>
</html>

如果我们在浏览器中运行上述代码,我们将得到一个绘制为输出的条形图。

说明

在此代码中,我们首先创建了一个 JSON 数据,我们将在创建 FusionChart 对象的实例时将其传递到 chartConfig 的“data”属性中。

除此之外,“chartConfig”对象中还存在一些属性,尤其是“chart”属性,其中我们有不同的子属性,例如 caption、subCaption,这些属性在以下情况下都是必需的:我们正在绘制一个条形图。

示例 2

在上面的示例中,我们使用简单的 JSON 数据创建了一个条形图,并将其呈现给浏览器。在下面的示例中,我们将创建一个更复杂的图表,其中我们将描绘具有多个块的融合图表。考虑下面所示的代码。

index.html

<!DOCTYPE html>
<html lang="en">
<head>
   <meta charset="UTF-8">
   <meta http-equiv="X-UA-Compatible" content="IE=edge">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <script type="text/javascript"src="https://cdn.fusioncharts.com/fusioncharts/latest/fusioncharts.js"></script>
   <script type="text/javascript"src="https://cdn.fusioncharts.com/fusioncharts/latest/themes/fusioncharts.theme.fusion.js"></script>
<title>FusionChart - Example 2</title>
</head>
<body>
   <div id="chart-container">For Rendering!!</div>
   <script>
      FusionCharts.ready(function() {
         var conversionChart = new FusionCharts({
            type: 'bubble',
            renderAt: 'chart-container',
            width: '600',
            height: '450',
            dataFormat: 'json',
            dataSource: {
               "chart": {
                  "theme": "fusion",
                  "caption": "Sales Analysis of Mobile Devices Brands",
                  "subcaption": "Last Quarter",
                  "xAxisMinValue": "0",
                  "xAxisMaxValue": "100",
                  "yAxisMinValue": "0",
                  "yAxisMaxValue": "300000",
                  "xAxisName": "Average Price",
                  "yAxisName": "Units Sold",
                  "numDivlines": "2",
                  "showValues": "1",
                  "showTrendlineLabels": "0",
                  "plotTooltext": "$name : Profit Contribution - $zvalue%",
                  "drawQuadrant": "1",
                  "quadrantLineAlpha": "80",
                  "quadrantLineThickness": "3",
                  "quadrantXVal": "50",
                  "quadrantYVal": "15000",
                  "quadrantLabelTL": "Low Price / High Sale",
                  "quadrantLabelTR": "High Price / High Sale",
                  "quadrantLabelBL": "Low Price / Low Sale",
                  "quadrantLabelBR": "High Price / Low Sale",
                  "yAxisLineThickness": "1",
                  "yAxisLineColor": "#999999",
                  "xAxisLineThickness": "1",
                  "xAxisLineColor": "#999999",
                  "theme": "fusion"
                  },
                  "categories": [{
                     "category": [{
                        "label": "$50",
                        "x": "0"
                     },{
                        "label": "$100",
                        "x": "20",
                        "showverticalline": "1"
                     },{
                        "label": "$150",
                        "x": "40",
                        "showverticalline": "1"
                     },{
                        "label": "$200",
                        "x": "60",
                        "showverticalline": "1"
                     },{
                        "label": "$250",
                        "x": "80",
                        "showverticalline": "1"
                     }, {
                        "label": "$300",
                        "x": "100",
                        "showverticalline": "1"
                        }
                     ]
                  }],
                  "dataset": [{
                     "color": "#00aee4",
                     "data": [{
                        "x": "35",
                        "y": "1500000",
                        "z": "24",
                        "name": "Xiaomi"
                     },{
                        "x": "80",
                        "y": "1850000",
                        "z": "26",
                        "name": "Samsung"
                     },{
                        "x": "45",
                        "y": "1945000",
                        "z": "19",
                        "name": "Nokia"
                     },{
                        "x": "65",
                        "y": "10500",
                        "z": "8",
                        "name": "OnePlus"
                     },{
                        "x": "100",
                        "y": "905000",
                        "z": "5",
                        "name": "Apple"
                     },{
                        "x": "32",
                        "y": "2200000",
                        "z": "10",
                        "name": "Asus"
                     },{
                        "x": "44",
                        "y": "1300000",
                        "z": "9",
                        "name": "Vivo"
                     }
                  ]
               }],
               "trendlines": [{
                  "line": [{
                     "startValue": "20000",
                     "endValue": "30000",
                     "isTrendZone": "1",
                     "color": "#aaaaaa",
                     "alpha": "14"
                  },{
                     "startValue": "10000",
                     "endValue": "20000",
                     "isTrendZone": "1",
                     "color": "#aaaaaa",
                     "alpha": "7"
                  }
               ]
            }],
            "vTrendlines": [{
               "line": [{
                  "startValue": "44",
                  "isTrendZone": "0",
                  "color": "#0066cc",
                  "thickness": "1",
                  "dashed": "1",
                  "displayValue": "Gross Avg."
               }]
            }]
         }
      });
      conversionChart.render();
   });
   </script>
</body>
</html>

使用“编辑并运行”按钮运行此代码并查看输出。它将显示具有多个象限的图。

说明

在此示例中,我们尝试借助 FusionCharts 描绘多家移动设备公司的销售额。

这里,“数据集”属性包含我们将在图表中显示的实际 JSON 数据,而“类别”包含 X 轴和 Y 轴坐标的数据。

结论

在本教程中,我们使用了几个示例来演示如何利用 FusionCharts 库中的可用功能在 JavaScript 中创建不同的图表。

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