How to create beautiful real-time data monitoring charts using Vue and ECharts4Taro3

How to create beautiful real-time data monitoring charts using Vue and ECharts4Taro3

Introduction:
With the increasing demand for data analysis and real-time monitoring, we need a simple and powerful method to display real-time data changing trends and analysis results. Vue and ECharts4Taro3 can meet this need very well. This article will introduce how to use Vue and ECharts4Taro3 to create beautiful real-time data monitoring charts, and provide relevant code examples.

1. Environment preparation
Before we start, we need to install some necessary dependencies. First, make sure you have Node.js and npm installed. Then, execute the following command on the command line to install Vue and ECharts4Taro3:

npm install -g @vue/cli
vue create my-project
cd my-project
vue add @tarojs/vue
npm install echarts4taro3 @tarojs/taro@3.3.10 @tarojs/cli@3.3.10

2. Create a real-time data monitoring component
In the created project, we can start writing the code for the real-time data monitoring component. First, create a file named RealTimeChart.vue under the src/components folder, and then add the following code in it:

This code creates a component named RealTimeChart, which uses Vue 3 Composition API to manage component state and life cycle. In the setup function, we use useEChart to initialize the ECharts chart and bind the chart configuration to the chart instance.

3. Configuration chart
In the previous step, we introduced a configuration object named chartOptions. We need to create a chartOptions.js file in the same directory and add the following code in it:

export const ecOptions = {
  title: {
    text: '实时数据监控图表'
  },
  tooltip: {
    trigger: 'axis'
  },
  legend: {
    data: ['数据1', '数据2', '数据3']
  },
  xAxis: {
    type: 'category',
    boundaryGap: false,
    data: []
  },
  yAxis: {
    type: 'value'
  },
  series: [
    {
      name: '数据1',
      type: 'line',
      data: []
    },
    {
      name: '数据2',
      type: 'line',
      data: []
    },
    {
      name: '数据3',
      type: 'line',
      data: []
    }
  ]
}

In this configuration object, we define the title, prompt information, coordinate axis, etc. of the chart. At the same time, we also define the series data of the chart. Here we take data 1, data 2 and data 3 as examples.

4. Update the chart using real-time data
In the previous code, we passed in a configuration object named ecOptions in the third parameter position of echarts.init, but the data attribute of the object is an empty array. Next, we'll update the chart with live data. Add the following code in the setup function of the RealTimeChart component:

const { addData } = chartInstance.value

// 模拟1秒钟更新一次数据
setInterval(() => {
  const now = new Date()
  const data1 = Math.random() * 100
  const data2 = Math.random() * 100
  const data3 = Math.random() * 100

  addData([
    [0, data1],
    [1, data2],
    [2, data3],
  ])

  chartInstance.value.setOption({
    xAxis: {
      data: [now.getHours(), now.getMinutes(), now.getSeconds()]
    }
  })
}, 1000)

This code sets a timer and updates data every second. We add new data points to the chart through the addData method and update the abscissa data through the setOption method.

5. Use real-time data to monitor charts
Now, we can use the RealTimeChart component in other components to display real-time data. Add the following code to the App.vue file:

Run the code:
Execute the following command in the command line to run the code:

npm run serve

Conclusion:
Pass the above steps , we successfully created a beautiful real-time data monitoring chart using Vue and ECharts4Taro3. By constantly updating data and adjusting chart configurations, we can achieve richer and more diverse data monitoring charts. I hope this article is helpful to you, and I hope you can further explore the powerful functions of Vue and ECharts4Taro3 and create more stunning real-time data charts.

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