数据表 - 将列合并在一起 [英] Datatables - Merge columns together

问题描述

我有这些数据库列，但我希望它们位于一列中.我该怎么做?使用 mRender，我想?

I have these database columns, but I want them to be in one column. How would I do that? With mRender, I think?

                    /* Address */  
        {"sTitle": "Address",
                    "bVisible": true,
                    "bSearchable": true},
        /* City */   
        {"sTitle": "City",
                    "bVisible": true,
                    "bSearchable": true},
        /* State */    
        {"sTitle": "State",
                    "bVisible": true,
                    "bSearchable": true},
        /* Zip */    
        {"sTitle": "Zip",
                    "bVisible": true,
                    "bSearchable": true},

推荐答案

前提是datatables get返回的列是address, city, state, zip 1-4

provided that the columns returned by the datatables get are address, city , state, zip 1-4

如果你返回的数据是一个普通数组

if your data returned is a regular array

   { "mData": 0 , //or address field
     "mRender" : function ( data, type, full ) { 
     //data = mData
     //full is the full array address= [0] city = [1] state=[2] zip=[3] 
        return data+', '+full[1]+', '+full[2]+', '+full[3];}
      },

如果您的数据是关联数组

if your data is an associate array

   { "mData": 'address' , 
     "mRender" : function ( data, type, full ) { 
        return data+', '+full['city']+', '+full['state']+', '+full['zip'];}
      },

或者您可以独立于 mData 调用 mRender(尽管在这种情况下似乎不需要)

or you can call mRender independent of mData (though it seems not needed for this situation)

   { "mData": null , 
     "mRender" : function ( data, type, full ) { 
        return full['address']+', '+full['city']+', '+full['state']+', '+full['zip'];}
      },

对于数据表 1.10，只需稍微更改名称，去掉m"

for datatables 1.10, just change the names a bit, drop the "m"

   { "data": null , 
     "render" : function ( data, type, full ) { 
        return full['address']+', '+full['city']+', '+full['state']+', '+full['zip'];}
      },

*注意我没有考虑您是否应该将这些数据存储在一列中，只是显示它是如何完成的

*note i'm not taking into account whether you should store this data in one column, just showing how its done

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