How to use Vue and Excel to implement batch filtering and export of data
In actual project development, we often need to filter and export a large amount of data. As a popular front-end framework, Vue can be used in conjunction with tools such as Excel to quickly and easily implement batch filtering and export of data. This article will introduce how to use Vue and Excel to implement this function, and provide code examples as a reference.
1.1 Install Vue CLI:
Enter the following command on the command line to install Vue CLI.
npm install -g @vue/cli
1.2 Create a Vue project:
Enter the following command on the command line to create a new Vue project.
vue create vue-excel-demo
Then follow the prompts to select the default configuration and plug-ins.
1.3 Install the Vue Excel plug-in:
Enter the project directory on the command line and enter the following commands to install the Vue Excel plug-in and related dependencies.
cd vue-excel-demo npm install vue-excel-export xlsx
<template> <div> <input type="text" v-model="keyword" placeholder="请输入筛选关键字" /> <button @click="filterData">筛选</button> <button @click="exportData">导出</button> <table> <thead> <tr> <th>姓名</th> <th>年龄</th> <th>性别</th> </tr> </thead> <tbody> <tr v-for="item in filteredData" :key="item.id"> <td>{{ item.name }}</td> <td>{{ item.age }}</td> <td>{{ item.gender }}</td> </tr> </tbody> </table> </div> </template> <script> import { export_json_to_excel } from "xlsx"; export default { data() { return { data: [ { id: 1, name: "张三", age: 18, gender: "男" }, { id: 2, name: "李四", age: 20, gender: "女" }, { id: 3, name: "王五", age: 22, gender: "男" } ], keyword: "" }; }, computed: { filteredData() { if (this.keyword === "") { return this.data; } else { return this.data.filter(item => item.name.includes(this.keyword)); } } }, methods: { filterData() { console.log("筛选数据"); // 这里可以进行筛选逻辑的处理 }, exportData() { console.log("导出数据"); const jsonData = JSON.parse(JSON.stringify(this.filteredData)); const worksheet = xlsx.utils.json_to_sheet(jsonData); const workbook = xlsx.utils.book_new(); xlsx.utils.book_append_sheet(workbook, worksheet, "Sheet1"); const excelBuffer = xlsx.write(workbook, { bookType: "xlsx", type: "array" }); const data = new Blob([excelBuffer], { type: "application/octet-stream" }); FileSaver.saveAs(data, "导出数据.xlsx"); } } }; </script>
In the above code, we create a simple data table and use the v-for instruction to loop through the rendering data. At the same time, we use a calculated attribute filteredData to implement the data filtering function and dynamically filter the data based on the entered keywords. The specific logic of the filtering function can be expanded according to actual needs.
// 导入相关库 import { export_json_to_excel } from "xlsx"; import FileSaver from "file-saver"; // 导出数据 exportData() { console.log("导出数据"); // 将筛选后的数据转换为Excel的工作表数据结构 const jsonData = JSON.parse(JSON.stringify(this.filteredData)); const worksheet = xlsx.utils.json_to_sheet(jsonData); // 创建并配置Excel工作簿 const workbook = xlsx.utils.book_new(); xlsx.utils.book_append_sheet(workbook, worksheet, "Sheet1"); // 导出Excel文件 const excelBuffer = xlsx.write(workbook, { bookType: "xlsx", type: "array" }); const data = new Blob([excelBuffer], { type: "application/octet-stream" }); FileSaver.saveAs(data, "导出数据.xlsx"); }
In the above code, we first convert the filtered data jsonData into Excel's worksheet data structure worksheet, then create an Excel workbook workbook and add the worksheet into the workbook. Finally, we use the FileSaver library to convert the workbook into an Excel file and save it locally.
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