一、如果是js绘制的,设置frozenColumn属性就可以,frozenColumn 属性和 columns 属性都是设置列,frozenColumn是设置冻结列

$('#tt').datagrid({
title:'Frozen Columns',
iconCls:'icon-save',
width:,
height:,
url:'data/datagrid_data.json',
frozenColumns:[[
{field:'itemid',title:'Item ID',width:},
{field:'productid',title:'Product ID',width:},
]],
columns:[[
{field:'listprice',title:'List Price',width:,align:'right'},
{field:'unitcost',title:'Unit Cost',width:,align:'right'},
{field:'attr1',title:'Attribute',width:},
{field:'status',title:'Status',width:}
]]
});

二、如果是html绘制的,加一个frozen="true"属性就可以了

<thead frozen="true">
<tr>
<th field="itemid" width="">Item ID</th>
<th field="productid" width="">Product ID</th>
</tr>
</thead>

实现效果如下:拖动的时候冻结的列不动,如果非冻结列字段比较多,会自动添加滚动条在非冻结列上

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" 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05-08 08:29