JavaScript xlsx自己导入任意excel文件的表头复杂并且数据有合并单元格和空数据怎么处理成json的完全案例
时间: 2024-02-17 13:00:41 浏览: 132
使用xlsx.full.min.js导出有复杂表头的excel(亲测有效)
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处理一个复杂表头和合并单元格的 Excel 文件并将其转换为 JSON 格式需要以下步骤:
1. 安装依赖:
```
npm install xlsx
npm install lodash
```
2. 读取 Excel 文件:
```javascript
const XLSX = require('xlsx');
const workbook = XLSX.readFile('path/to/file.xlsx');
```
3. 解析表头:
```javascript
const sheetName = workbook.SheetNames[0];
const worksheet = workbook.Sheets[sheetName];
const headers = {};
let range = XLSX.utils.decode_range(worksheet['!ref']);
for (let C = range.s.c; C <= range.e.c; ++C) {
const cell = worksheet[XLSX.utils.encode_cell({ r: 0, c: C })];
const hdr = `header_${C}`;
if (!cell || !cell.v) {
headers[hdr] = `empty_${C}`;
continue;
}
headers[hdr] = cell.v;
}
```
此代码段将创建一个名为 `headers` 的对象,其中包含每个列的标题。如果某个单元格为空,则将其设置为 `empty_列号`。
4. 解析数据:
```javascript
const rows = [];
for (let R = range.s.r + 1; R <= range.e.r; ++R) {
const row = {};
for (let C = range.s.c; C <= range.e.c; ++C) {
const cell = worksheet[XLSX.utils.encode_cell({ r: R, c: C })];
const header = headers[`header_${C}`];
if (!cell || !cell.v) {
row[header] = null;
continue;
}
row[header] = cell.v;
}
rows.push(row);
}
```
此代码段将创建一个名为 `rows` 的数组,其中包含每个行的数据。如果某个单元格为空,则将其设置为 `null`。
5. 处理合并单元格:
```javascript
const _ = require('lodash');
_.forEach(worksheet['!merges'], (mergeCell) => {
const startRow = mergeCell.s.r;
const endRow = mergeCell.e.r;
const startCol = mergeCell.s.c;
const endCol = mergeCell.e.c;
let prevValue = null;
for (let r = startRow; r <= endRow; ++r) {
for (let c = startCol; c <= endCol; ++c) {
const cell = worksheet[XLSX.utils.encode_cell({ r, c })];
const header = headers[`header_${c}`];
if (prevValue === null && cell && cell.v) {
prevValue = cell.v;
rows[r - 1][header] = prevValue;
} else {
rows[r - 1][header] = prevValue;
}
}
}
});
```
此代码段将遍历表中所有合并单元格,如果单元格中的值为空,则将其设置为上一个非空单元格的值。
6. 将结果转换为 JSON:
```javascript
const result = JSON.stringify(rows);
```
完整代码如下:
```javascript
const XLSX = require('xlsx');
const _ = require('lodash');
const workbook = XLSX.readFile('path/to/file.xlsx');
const sheetName = workbook.SheetNames[0];
const worksheet = workbook.Sheets[sheetName];
const headers = {};
let range = XLSX.utils.decode_range(worksheet['!ref']);
for (let C = range.s.c; C <= range.e.c; ++C) {
const cell = worksheet[XLSX.utils.encode_cell({ r: 0, c: C })];
const hdr = `header_${C}`;
if (!cell || !cell.v) {
headers[hdr] = `empty_${C}`;
continue;
}
headers[hdr] = cell.v;
}
const rows = [];
for (let R = range.s.r + 1; R <= range.e.r; ++R) {
const row = {};
for (let C = range.s.c; C <= range.e.c; ++C) {
const cell = worksheet[XLSX.utils.encode_cell({ r: R, c: C })];
const header = headers[`header_${C}`];
if (!cell || !cell.v) {
row[header] = null;
continue;
}
row[header] = cell.v;
}
rows.push(row);
}
_.forEach(worksheet['!merges'], (mergeCell) => {
const startRow = mergeCell.s.r;
const endRow = mergeCell.e.r;
const startCol = mergeCell.s.c;
const endCol = mergeCell.e.c;
let prevValue = null;
for (let r = startRow; r <= endRow; ++r) {
for (let c = startCol; c <= endCol; ++c) {
const cell = worksheet[XLSX.utils.encode_cell({ r, c })];
const header = headers[`header_${c}`];
if (prevValue === null && cell && cell.v) {
prevValue = cell.v;
rows[r - 1][header] = prevValue;
} else {
rows[r - 1][header] = prevValue;
}
}
}
});
const result = JSON.stringify(rows);
```
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