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How to associate and filter table data through Vue and Excel

王林
Release: 2023-07-21 17:58:50
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How to associate and filter table data through Vue and Excel

Introduction:
With the growing demand for data analysis and processing, Excel tables have become the most commonly used data processing in all walks of life. One of the tools. Modern data processing requirements require us to combine Excel tables with other front-end frameworks to achieve more flexible and efficient data association and filtering functions. This article will introduce how to associate and filter tabular data through Vue and Excel.

1. Preparation
Before starting, we need to install and configure the following tools and libraries:

  1. Install Node.js and npm: Download and install the latest from the official website Versions of Node.js and npm.
  2. Install Vue: Run the following command in the command line to install.
npm install vue
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  1. Install Excel.js: Run the following command in the command line to install.
npm install exceljs
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  1. Install xlsx.js: Run the following command in the command line to install.
npm install xlsx
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2. Implement logic
Next, we will implement the association and filtering functions of table data through the following steps.

  1. Import Excel file
    First, we need to implement the function of importing Excel files in the Vue component.
<template>
  <div>
    <input type="file" @change="importExcel" accept=".xlsx,.xls" />
    <button @click="filterData">筛选</button>
  </div>
</template>

<script>
import { writeFile } from 'xlsx';

export default {
  methods: {
    importExcel(event) {
      const files = event.target.files;
      const reader = new FileReader();

      reader.onload = (e) => {
        const data = new Uint8Array(e.target.result);
        const workbook = XLSX.read(data, { type: 'array' });
        const worksheet = workbook.Sheets[workbook.SheetNames[0]];
        const jsonData = XLSX.utils.sheet_to_json(worksheet, { header: 1 });

        // 存储Excel数据
        this.excelData = jsonData;
      };

      reader.readAsArrayBuffer(files[0]);
    },
    filterData() {
      // 根据筛选条件过滤数据
      // ...
    },
  },
};
</script>
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In the above code, we use the importExcel method to convert the imported Excel file into JSON data and store it in the Vue component's excelData in properties.

  1. Filtering data
    Next, we need to implement the function of filtering data based on filtering conditions.
<template>
  <div>
    <input type="file" @change="importExcel" accept=".xlsx,.xls" />
    <button @click="filterData">筛选</button>
    <input v-model="filterValue" placeholder="请输入筛选条件" />
    <button @click="applyFilter">确认</button>
    <table>
      <thead>
        <tr>
          <th v-for="(header, index) in excelData[0]" :key="index">{{ header }}</th>
        </tr>
      </thead>
      <tbody>
        <tr v-for="(row, index) in filteredData" :key="index">
          <td v-for="(cell, index) in row" :key="index">{{ cell }}</td>
        </tr>
      </tbody>
    </table>
  </div>
</template>

<script>
export default {
  data() {
    return {
      excelData: [],
      filteredData: [],
      filterValue: '',
    };
  },
  methods: {
    importExcel(event) {
      // ...
    },
    filterData() {
      // ...
    },
    applyFilter() {
      // 根据筛选条件过滤数据
      this.filteredData = this.excelData.filter((row) => {
        return row.some((cell) => {
          return cell.toString().includes(this.filterValue);
        });
      });
    },
  },
};
</script>
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In the above code, we added an input box and confirmation button. The user can enter the filter conditions in the input box, and then click the confirmation button to trigger the applyFilter method. The applyFilter method filters data based on filter conditions by traversing the excelData array, and stores the results in the filteredData attribute.

Summary:
Through the above steps, we successfully implemented the association and filtering functions of table data through Vue and Excel. By importing Excel files and filtering functions, we can process and analyze large amounts of data more flexibly and efficiently. Hope this article helps you!

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