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1.8 KiB
1.8 KiB
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zh-CN
columns[n]
可以内嵌 children
,以渲染分组表头。
en-US
Group table head with columns[n].children
.
import { Table } from 'antd';
const columns = [{
title: 'Name',
dataIndex: 'name',
key: 'name',
width: 100,
fixed: 'left',
filters: [{
text: 'Joe',
value: 'Joe',
}, {
text: 'John',
value: 'John',
}],
onFilter: (value, record) => record.name.indexOf(value) === 0,
}, {
title: 'Other',
children: [{
title: 'Age',
dataIndex: 'age',
key: 'age',
width: 200,
sorter: (a, b) => a.age - b.age,
}, {
title: 'Address',
children: [{
title: 'Street',
dataIndex: 'street',
key: 'street',
width: 200,
}, {
title: 'Block',
children: [{
title: 'Building',
dataIndex: 'building',
key: 'building',
width: 100,
}, {
title: 'Door No.',
dataIndex: 'number',
key: 'number',
width: 100,
}],
}],
}],
}, {
title: 'Company',
children: [{
title: 'Company Address',
dataIndex: 'companyAddress',
key: 'companyAddress',
}, {
title: 'Company Name',
dataIndex: 'companyName',
key: 'companyName',
}],
}, {
title: 'Gender',
dataIndex: 'gender',
key: 'gender',
width: 60,
fixed: 'right',
}];
const data = [];
for (let i = 0; i < 100; i++) {
data.push({
key: i,
name: 'John Brown',
age: i + 1,
street: 'Lake Park',
building: 'C',
number: 2035,
companyAddress: 'Lake Street 42',
companyName: 'SoftLake Co',
gender: 'M',
});
}
ReactDOM.render(
<Table
columns={columns}
dataSource={data}
bordered
size="middle"
scroll={{ x: '130%', y: 240 }}
/>
, mountNode);