标签：style blog http io ar for 数据 div sp
1.目标
1.1表格初始化完成后，已经自动合并好需要合并的行；
1.2当点击字段排序后，重新进行合并；
2.实现
2.1 引入插件
/**
* author ____′↘夏悸
* create date 2012-11-5
*
**/
$.extend($.fn.datagrid.methods, {
autoMergeCells : function (jq, fields) {
return jq.each(function () {
var target = $(this);
if (!fields) {
fields = target.datagrid("getColumnFields");
}
var rows = target.datagrid("getRows");
var i = 0,
j = 0,
temp = {};
for (i; i < rows.length; i++) {
var row = rows[i];
j = 0;
for (j; j < fields.length; j++) {
var field = fields[j];
var tf = temp[field];
if (!tf) {
tf = temp[field] = {};
tf[row[field]] = [i];
} else {
var tfv = tf[row[field]];
if (tfv) {
tfv.push(i);
} else {
tfv = tf[row[field]] = [i];
}
}
}
}
$.each(temp, function (field, colunm) {
$.each(colunm, function () {
var group = this;
if (group.length > 1) {
var before,
after,
megerIndex = group[0];
for (var i = 0; i < group.length; i++) {
before = group[i];
after = group[i + 1];
if (after && (after - before) == 1) {
continue;
}
var rowspan = before - megerIndex + 1;
if (rowspan > 1) {
target.datagrid(‘mergeCells‘, {
index : megerIndex,
field : field,
rowspan : rowspan
});
}
if (after && (after - before) != 1) {
megerIndex = after;
}
}
}
});
});
});
}
});
2.2html代码
<table id="simpleDgId" style="height: 300px" />
2.3js代码
var sortFlag = false;
$(‘#simpleDgId‘).datagrid({
url:"testController.do?datagrid",
fitColumns:true,
singleSelect:true,
remoteSort: false,
columns:[[
{field:"age",title:"年龄",width:25,align:‘center‘,sortable:true},
{field:"userName",title:"名称",width:25,align:‘center‘,sortable:true},
{field:"mobilePhone",title:"手机",width:25,align:‘center‘,sortable:true}
]],
onSortColumn:function(sort, order){
sortFlag = true;
if("userName"==sort){
$(this).datagrid("autoMergeCells",[sort]);
}else{
$(this).datagrid("autoMergeCells");
}
},
onLoadSuccess: function(data){
if(!sortFlag) $(this).datagrid("autoMergeCells");
}
});
2.4后台
url:"testController.do?datagrid"
后台数据就是普通的表格数据，这里就不赘述了
2.5效果
EasyUI-datagrid-自动合并单元格(转)----------autoMergeCells
标签：style blog http io ar for 数据 div sp
原文地址：http://www.cnblogs.com/lschenblog/p/3976590.html
