Update table.vue
This commit is contained in:
梁灏
parent
da54e620ad
commit
0b183ebba2
1 changed files with 598 additions and 22 deletions
|
|
@ -1,47 +1,243 @@
|
|||
<template>
|
||||
<div>
|
||||
<Table tooltip-theme="light" ref="currentRowTable" :columns="columns3" :data="data1" :draggable="true" @on-drag-drop="onDragDrop"></Table>
|
||||
<Button @click="handleClearCurrentRow">Clear</Button>
|
||||
<div style="margin: 200px">
|
||||
<Divider>合计</Divider>
|
||||
<Table size="small" border :columns="columns4" :data="data11" show-summary :height="200"></Table>
|
||||
<br>
|
||||
<Table border :columns="columns4" :data="data11" show-summary :height="200"></Table>
|
||||
<br>
|
||||
<Table size="large" border :columns="columns4" :data="data11" show-summary :height="200"></Table>
|
||||
<br>
|
||||
<Table border :columns="columns4" :data="data11" show-summary></Table>
|
||||
<br>
|
||||
<Table border :columns="columns5" :data="data11" show-summary></Table>
|
||||
<br>
|
||||
<Table border :columns="columns8" :data="data11" show-summary></Table>
|
||||
<br>
|
||||
<Table border :columns="columns5" :data="data11" show-summary :height="200"></Table>
|
||||
<Divider>合并单元格</Divider>
|
||||
<Table border :columns="columns1" :data="data1" :span-method="handleSpan"></Table>
|
||||
<br>
|
||||
<Table border :columns="columns1" :data="data1" :span-method="handleSpan2"></Table>
|
||||
<Divider>拖拽调整列宽</Divider>
|
||||
<Table border :columns="columns1" :data="data1"></Table>
|
||||
<Divider>排序筛选</Divider>
|
||||
<div style="margin: 0 0px;">
|
||||
<Table @on-column-width-resize="handleResize" border :columns="columns6" :data="data5"></Table>
|
||||
</div>
|
||||
<Divider>普通表格</Divider>
|
||||
<Table size="small" :columns="columns1" :data="data1"></Table>
|
||||
<br>
|
||||
<Table :columns="columns1" :data="data1"></Table>
|
||||
<br>
|
||||
<Table size="large" :columns="columns1" :data="data1"></Table>
|
||||
<Divider>斑马纹</Divider>
|
||||
<Table stripe :columns="columns1" :data="data1"></Table>
|
||||
<Divider>带边框</Divider>
|
||||
<Table border :columns="columns1" :data="data1"></Table>
|
||||
<Divider>头固定（普通）</Divider>
|
||||
<Table height="200" :columns="columns1" :data="data2"></Table>
|
||||
<Divider>头固定（边框）</Divider>
|
||||
<Table height="200" border :columns="columns1" :data="data2"></Table>
|
||||
<Divider>列固定（普通）</Divider>
|
||||
<Table width="550" :columns="columns2" :data="data3"></Table>
|
||||
<Divider>列固定（边框）</Divider>
|
||||
<Table width="550" border :columns="columns2" :data="data3"></Table>
|
||||
<Divider>都固定（普通）</Divider>
|
||||
<Table width="550" height="200" :columns="columns2" :data="data4"></Table>
|
||||
<Divider>都固定（边框）</Divider>
|
||||
<Table width="550" height="200" border :columns="columns2" :data="data4"></Table>
|
||||
<Divider>表头分组（普通）</Divider>
|
||||
<Table :columns="columns11" :data="data10" height="500"></Table>
|
||||
<Divider>表头分组（边框）</Divider>
|
||||
<Table border :columns="columns11" :data="data10" height="500"></Table>
|
||||
</div>
|
||||
</template>
|
||||
<script>
|
||||
export default {
|
||||
data () {
|
||||
return {
|
||||
columns3: [
|
||||
columns4: [
|
||||
{
|
||||
type: 'index',
|
||||
width: 60,
|
||||
align: 'center',
|
||||
indexMethod (row) {
|
||||
return row._index;
|
||||
}
|
||||
title: 'ID',
|
||||
key: 'id'
|
||||
},
|
||||
{
|
||||
title: 'Name',
|
||||
title: '姓名',
|
||||
key: 'name'
|
||||
},
|
||||
{
|
||||
title: '数值 1',
|
||||
key: 'amount1'
|
||||
},
|
||||
{
|
||||
title: '数值 2',
|
||||
key: 'amount2'
|
||||
},
|
||||
{
|
||||
title: '数值 3',
|
||||
key: 'amount3'
|
||||
}
|
||||
],
|
||||
columns5: [
|
||||
{
|
||||
title: 'ID',
|
||||
key: 'id',
|
||||
fixed: 'left',
|
||||
width: 180
|
||||
},
|
||||
{
|
||||
title: '姓名',
|
||||
key: 'name',
|
||||
width: 250
|
||||
},
|
||||
{
|
||||
title: '数值 1',
|
||||
key: 'amount1',
|
||||
width: 250,
|
||||
fixed: 'right'
|
||||
},
|
||||
{
|
||||
title: '数值 2',
|
||||
key: 'amount2',
|
||||
width: 250
|
||||
},
|
||||
{
|
||||
title: '数值 3',
|
||||
key: 'amount3',
|
||||
width: 180
|
||||
}
|
||||
],
|
||||
columns8: [
|
||||
{
|
||||
title: 'ID',
|
||||
key: 'id',
|
||||
fixed: 'left',
|
||||
width: 180
|
||||
},
|
||||
{
|
||||
title: '姓名',
|
||||
key: 'name',
|
||||
},
|
||||
{
|
||||
title: '数值 1',
|
||||
key: 'amount1',
|
||||
width: 250,
|
||||
fixed: 'right'
|
||||
},
|
||||
{
|
||||
title: '数值 2',
|
||||
key: 'amount2',
|
||||
},
|
||||
{
|
||||
title: '数值 3',
|
||||
key: 'amount3',
|
||||
}
|
||||
],
|
||||
data11: [
|
||||
{
|
||||
id: '12987122',
|
||||
name: '王小虎',
|
||||
amount1: '234',
|
||||
amount2: '3.2',
|
||||
amount3: 10
|
||||
}, {
|
||||
id: '12987123',
|
||||
name: '王小虎',
|
||||
amount1: '165',
|
||||
amount2: '4.43',
|
||||
amount3: 12
|
||||
}, {
|
||||
id: '12987124',
|
||||
name: '王小虎',
|
||||
amount1: '324',
|
||||
amount2: '1.9',
|
||||
amount3: 9
|
||||
}, {
|
||||
id: '12987125',
|
||||
name: '王小虎',
|
||||
amount1: '621',
|
||||
amount2: '2.2',
|
||||
amount3: 17
|
||||
}, {
|
||||
id: '12987126',
|
||||
name: '王小虎',
|
||||
amount1: '539',
|
||||
amount2: '4.1',
|
||||
amount3: 15
|
||||
}
|
||||
],
|
||||
columns6: [
|
||||
{
|
||||
title: 'Date',
|
||||
key: 'date',
|
||||
sortable: true,
|
||||
resizable: true,
|
||||
width: 180,
|
||||
},
|
||||
{
|
||||
title: 'Name',
|
||||
key: 'name',
|
||||
resizable: true,
|
||||
width: 180,
|
||||
},
|
||||
{
|
||||
title: 'Age',
|
||||
key: 'age'
|
||||
key: 'age',
|
||||
sortable: true,
|
||||
resizable: true,
|
||||
width: 180,
|
||||
filters: [
|
||||
{
|
||||
label: 'Greater than 25',
|
||||
value: 1
|
||||
},
|
||||
{
|
||||
label: 'Less than 25',
|
||||
value: 2
|
||||
}
|
||||
],
|
||||
filterMultiple: false,
|
||||
filterMethod (value, row) {
|
||||
if (value === 1) {
|
||||
return row.age > 25;
|
||||
} else if (value === 2) {
|
||||
return row.age < 25;
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
title: 'Address',
|
||||
key: 'address',
|
||||
tooltip: true
|
||||
filters: [
|
||||
{
|
||||
label: 'New York',
|
||||
value: 'New York'
|
||||
},
|
||||
{
|
||||
label: 'London',
|
||||
value: 'London'
|
||||
},
|
||||
{
|
||||
label: 'Sydney',
|
||||
value: 'Sydney'
|
||||
}
|
||||
],
|
||||
data1: [
|
||||
filterMethod (value, row) {
|
||||
return row.address.indexOf(value) > -1;
|
||||
}
|
||||
}
|
||||
],
|
||||
data5: [
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: '自定义渲染列，使用 Vue 的 Render 函数。传入两个参数，第一个是 h，第二个为对象，包含 row、column 和 index，分别指当前行数据，当前列数据，当前行索引，详见示例。自定义渲染列，使用 Vue 的 Render 函数。传入两个参数，第一个是 h，第二个为对象，包含 row、column 和 index，分别指当前行数据，当前列数据，当前行索引，详见示例。自定义渲染列，使用 Vue 的 Render 函数。传入两个参数，第一个是 h，第二个为对象，包含 row、column 和 index，分别指当前行数据，当前列数据，当前行索引，详见示例。',
|
||||
address: 'New York No. 1 Lake Park',
|
||||
date: '2016-10-03'
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'London No. 1 Lake Park自定义渲染列，使用 Vue 的 Render 函',
|
||||
address: 'London No. 1 Lake Park',
|
||||
date: '2016-10-01'
|
||||
},
|
||||
{
|
||||
|
|
@ -56,16 +252,396 @@
|
|||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
}
|
||||
],
|
||||
columns1: [
|
||||
{
|
||||
title: 'Name',
|
||||
key: 'name'
|
||||
},
|
||||
{
|
||||
title: 'Age',
|
||||
key: 'age'
|
||||
},
|
||||
{
|
||||
title: 'Address',
|
||||
key: 'address'
|
||||
}
|
||||
],
|
||||
data1: [
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
date: '2016-10-03'
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'London No. 1 Lake Park',
|
||||
date: '2016-10-01'
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
date: '2016-10-02'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow2',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow3',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow4',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
}
|
||||
],
|
||||
data2: [
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
date: '2016-10-03'
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'London No. 1 Lake Park',
|
||||
date: '2016-10-01'
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
date: '2016-10-02'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
},
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
date: '2016-10-03'
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'London No. 1 Lake Park',
|
||||
date: '2016-10-01'
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
date: '2016-10-02'
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
date: '2016-10-04'
|
||||
}
|
||||
],
|
||||
columns2: [
|
||||
{
|
||||
title: 'Name',
|
||||
key: 'name',
|
||||
width: 100,
|
||||
fixed: 'left'
|
||||
},
|
||||
{
|
||||
title: 'Age',
|
||||
key: 'age',
|
||||
width: 100
|
||||
},
|
||||
{
|
||||
title: 'Province',
|
||||
key: 'province',
|
||||
width: 100
|
||||
},
|
||||
{
|
||||
title: 'City',
|
||||
key: 'city',
|
||||
width: 100
|
||||
},
|
||||
{
|
||||
title: 'Address',
|
||||
key: 'address',
|
||||
width: 200
|
||||
},
|
||||
{
|
||||
title: 'Postcode',
|
||||
key: 'zip',
|
||||
width: 100
|
||||
},
|
||||
{
|
||||
title: 'Action',
|
||||
key: 'action',
|
||||
fixed: 'right',
|
||||
width: 120,
|
||||
render: (h, params) => {
|
||||
return h('div', [
|
||||
h('Button', {
|
||||
props: {
|
||||
type: 'text',
|
||||
size: 'small'
|
||||
}
|
||||
}, 'View'),
|
||||
h('Button', {
|
||||
props: {
|
||||
type: 'text',
|
||||
size: 'small'
|
||||
}
|
||||
}, 'Edit')
|
||||
]);
|
||||
}
|
||||
}
|
||||
],
|
||||
data4: [
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'New York',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'Washington, D.C. No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'Washington, D.C.',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
province: 'Australian',
|
||||
city: 'Sydney',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
province: 'Canada',
|
||||
city: 'Ottawa',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'New York',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'Washington, D.C. No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'Washington, D.C.',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
province: 'Australian',
|
||||
city: 'Sydney',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
province: 'Canada',
|
||||
city: 'Ottawa',
|
||||
zip: 100000
|
||||
}
|
||||
],
|
||||
data3: [
|
||||
{
|
||||
name: 'John Brown',
|
||||
age: 18,
|
||||
address: 'New York No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'New York',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jim Green',
|
||||
age: 24,
|
||||
address: 'Washington, D.C. No. 1 Lake Park',
|
||||
province: 'America',
|
||||
city: 'Washington, D.C.',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Joe Black',
|
||||
age: 30,
|
||||
address: 'Sydney No. 1 Lake Park',
|
||||
province: 'Australian',
|
||||
city: 'Sydney',
|
||||
zip: 100000
|
||||
},
|
||||
{
|
||||
name: 'Jon Snow',
|
||||
age: 26,
|
||||
address: 'Ottawa No. 2 Lake Park',
|
||||
province: 'Canada',
|
||||
city: 'Ottawa',
|
||||
zip: 100000
|
||||
}
|
||||
],
|
||||
columns11: [
|
||||
{
|
||||
title: 'Name',
|
||||
key: 'name',
|
||||
align: 'center',
|
||||
width: 200,
|
||||
fixed: 'left',
|
||||
filters: [
|
||||
{
|
||||
label: 'Joe',
|
||||
value: 1
|
||||
},
|
||||
{
|
||||
label: 'John',
|
||||
value: 2
|
||||
}
|
||||
],
|
||||
filterMultiple: false,
|
||||
filterMethod (value, row) {
|
||||
if (value === 1) {
|
||||
return row.name === 'Joe';
|
||||
} else if (value === 2) {
|
||||
return row.name === 'John Brown';
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
title: 'Other',
|
||||
align: 'center',
|
||||
children: [
|
||||
{
|
||||
title: 'Age',
|
||||
key: 'age',
|
||||
align: 'center',
|
||||
width: 200,
|
||||
sortable: true
|
||||
},
|
||||
{
|
||||
title: 'Address',
|
||||
align: 'center',
|
||||
children: [
|
||||
{
|
||||
title: 'Street',
|
||||
key: 'street',
|
||||
align: 'center',
|
||||
width: 200
|
||||
},
|
||||
{
|
||||
title: 'Block',
|
||||
align: 'center',
|
||||
children: [
|
||||
{
|
||||
title: 'Building',
|
||||
key: 'building',
|
||||
align: 'center',
|
||||
width: 200,
|
||||
sortable: true
|
||||
},
|
||||
{
|
||||
title: 'Door No.',
|
||||
key: 'door',
|
||||
align: 'center',
|
||||
width: 200
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
title: 'Company',
|
||||
align: 'center',
|
||||
children: [
|
||||
{
|
||||
title: 'Company Address',
|
||||
key: 'caddress',
|
||||
align: 'center',
|
||||
width: 200
|
||||
},
|
||||
{
|
||||
title: 'Company Name',
|
||||
key: 'cname',
|
||||
align: 'center',
|
||||
width: 200
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
title: 'Gender',
|
||||
key: 'gender',
|
||||
align: 'center',
|
||||
width: 200,
|
||||
fixed: 'right'
|
||||
}
|
||||
],
|
||||
data10: [{"key":0,"name":"John Brown","age":1,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":1,"name":"John Brown","age":2,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":2,"name":"John Brown","age":3,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":3,"name":"John Brown","age":4,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":4,"name":"John Brown","age":5,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":5,"name":"John Brown","age":6,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":6,"name":"John Brown","age":7,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":7,"name":"John Brown","age":8,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":8,"name":"John Brown","age":9,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":9,"name":"John Brown","age":10,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":10,"name":"John Brown","age":11,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":11,"name":"John Brown","age":12,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":12,"name":"John Brown","age":13,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":13,"name":"John Brown","age":14,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":14,"name":"John Brown","age":15,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":15,"name":"John Brown","age":16,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":16,"name":"John Brown","age":17,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":17,"name":"John Brown","age":18,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":18,"name":"John Brown","age":19,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":19,"name":"John Brown","age":20,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"}]
|
||||
}
|
||||
},
|
||||
methods: {
|
||||
handleClearCurrentRow () {
|
||||
this.$refs.currentRowTable.clearCurrentRow();
|
||||
handleResize (width) {
|
||||
console.log(width);
|
||||
},
|
||||
onDragDrop(a,b){
|
||||
console.log(a,b);
|
||||
this.data1.splice(b,1,...this.data1.splice(a, 1 , this.data1[b]));
|
||||
handleSpan ({ row, column, rowIndex, columnIndex }) {
|
||||
if (rowIndex % 2 === 0) {
|
||||
if (columnIndex === 0) {
|
||||
return [1, 2];
|
||||
} else if (columnIndex === 1) {
|
||||
return [0, 0];
|
||||
}
|
||||
}
|
||||
},
|
||||
handleSpan2 ({ row, column, rowIndex, columnIndex }) {
|
||||
if (columnIndex === 0) {
|
||||
if (rowIndex % 2 === 0) {
|
||||
return {
|
||||
rowspan: 2,
|
||||
colspan: 1
|
||||
};
|
||||
} else {
|
||||
return {
|
||||
rowspan: 0,
|
||||
colspan: 0
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue