ECharts and Java interface: how to create special types of statistical charts such as heat maps

ECharts and Java interface: How to make special types of statistical charts such as heat maps, specific code examples are required

Overview:

With big data With the advent of the times, data analysis and visualization have become important work aspects. ECharts is a powerful data visualization library that can meet the display needs of various statistical charts. This article will introduce how to call ECharts through the Java interface to implement special types of statistical charts such as heat maps.

1. Understand ECharts:

ECharts is a data visualization library open sourced by Baidu, which provides rich statistical chart display effects. It is compatible with mainstream browsers and supports multiple data formats. ECharts uses JavaScript to implement a powerful drawing engine that can generate various statistical charts in real time on the front-end page.

2. ECharts installation and introduction:

1. Download ECharts

First, you need to download ECharts from the official website (https://echarts.apache.org/ zh/index.html) Download the ECharts version file.

2. Introducing ECharts

After decompressing the downloaded ECharts file, introduce the echarts.min.js file into the HTML page you need to use, and use the following tags. Introduction:

<script src="echarts.min.js"></script>

3. How to make a heat map:

The heat map can display the spatial distribution of discrete data points. It can not only visually display the degree of data aggregation, but also Used to display the distribution of hot areas in physics, ecology and other fields. The following will introduce in detail how to use ECharts and Java interfaces to create heat maps.

1. Building data

First, we need to prepare some data for display. In Java, you can use a two-dimensional array or List> to represent the data of the heat map.

List<List<Integer>> dataList = new ArrayList<>();
dataList.add(Arrays.asList(1, 2, 10));
dataList.add(Arrays.asList(2, 3, 20));
dataList.add(Arrays.asList(3, 4, 30));
// 其他数据...

2. Drawing a heat map

Next, we will use the Java interface provided by ECharts to draw a heat map. In the HTML file, you can use the following code to call the Java interface:

var dom = document.getElementById("chart");
var chart = echarts.init(dom);

// 构建热力图数据
var heatmapData = [];
for (var i = 0; i < dataList.length; i++){
  var data = dataList[i];
  heatmapData.push([data[0], data[1], data[2]]);
}

// 绘制热力图
var option = {
  series: [{
    type: 'heatmap',
    data: heatmapData
  }]
};
chart.setOption(option);

Through the above code, we can draw a heat map on the HTML page and display different heat distributions based on the provided data.

4. How to make other special types of statistical charts:

In addition to heat maps, ECharts also supports many other types of statistical charts, such as line charts, bar charts, pie charts, etc. The following will introduce the production methods of several other special types of statistical charts.

1. Line chart

var option = {
  xAxis: {
    type: 'category',
    data: ['A', 'B', 'C', 'D', 'E', 'F']
  },
  yAxis: {
    type: 'value'
  },
  series: [{
    type: 'line',
    data: [1, 3, 2, 4, 5, 7]
  }]
};
chart.setOption(option);

2. Bar chart

var option = {
  xAxis: {
    type: 'category',
    data: ['A', 'B', 'C', 'D', 'E', 'F']
  },
  yAxis: {
    type: 'value'
  },
  series: [{
    type: 'bar',
    data: [5, 20, 36, 10, 10, 20]
  }]
};
chart.setOption(option);

3. pie chart

var option = {
  series: [{
    type: 'pie',
    data: [
      {value: 335, name: 'A'},
      {value: 310, name: 'B'},
      {value: 234, name: 'C'},
      {value: 135, name: 'D'},
      {value: 1548, name: 'E'}
    ]
  }]
};
chart.setOption(option);

By using the Java interface provided by ECharts, the above code can be embedded into Java code to dynamically generate various statistical charts.

Summary:

This article introduces how to use ECharts and Java interfaces to create special types of statistical charts such as heat maps. By calling the Java interface provided by ECharts, we can generate various statistical charts in HTML pages in real time to meet different data visualization needs. Hope this article helps you!

The above is the detailed content of ECharts and Java interface: how to create special types of statistical charts such as heat maps. For more information, please follow other related articles on the PHP Chinese website!