我希望列标题，过滤器和表列对齐。我搞砸了bAutoWidth，sWidth和CSS，但似乎没什么用。有人请你好好告诉我如何正确对齐柱子吗？
$(function () {
var table = $('#fill').DataTable({
"bPaginate" : false,
"bAutoWidth": false,
"scrollY": "600px",
"scrollX": "100%",
"aoColumns": [
{ "sWidth": "28px" },
{"sWidth": "60px" },
{"sWidth": "6px" },
{"sWidth": "6px" },
{"sWidth": "8px" },
{"sWidth": "30px" },
{"sWidth": "2px" },
{"sWidth": "13px" },
{"sWidth": "10px" },
{"sWidth": "17px" },
{"sWidth": "19px" },
{"sWidth": "4px" },
{"sWidth": "14px" },
{"sWidth": "10px" },
{"sWidth": "13px" },
{"sWidth": "15px" },
{"sWidth": "10px" },
{"sWidth": "10px" },
{"sWidth": "10px" },
{"sWidth": "18px" },
{"sWidth": "10px" },
{"sWidth": "30px" },
{"sWidth": "8px"},
{"sWidth": "4px"},
{"sWidth": "4px"}
]
});
//column filters
yadcf.init(table, [
{ column_number: 0, filter_type: "text", filter_container_id:"accountFilter" },
{column_number: 1, filter_type: "text", filter_container_id: "nameFilter" },
{column_number: 2, filter_type:"text", filter_match_mode:"exact" ,filter_container_id: "lotFilter" },
{column_number: 3, filter_type: "text", filter_container_id: "CTFilter" },
{column_number: 4, filter_type: "text", filter_container_id: "ageFilter" },
{column_number: 5, filter_type: "text", filter_container_id: "collectorFilter" },
{column_number: 6, filter_type: "text", filter_container_id: "levelFilter" },
{column_number: 7, filter_type: "text", filter_container_id: "vinFilter" },
{column_number: 8, filter_type: "text", filter_container_id: "taggedFilter" },
{column_number: 9, filter_type: "text", filter_container_id: "truckFilter" },
{column_number: 16, filter_type: "text", filter_container_id: "recoveryFilter" },
{column_number: 19, filter_type: "text", filter_container_id: "typeFilter" },
{column_number: 10, filter_type: "text", filter_container_id: "SPFilter" },
{column_number: 11, filter_type: "text", filter_container_id: "MPFilter" },
{column_number: 12, filter_type: "text", filter_container_id: "RSFFilter" },
{column_number: 13, filter_type: "text", filter_container_id: "latesFilter" },
{column_number: 14, filter_type: "text", filter_container_id: "dueFilter" },
{column_number: 15, filter_type: "text", filter_container_id: "netFilter" },
{column_number: 20, filter_type: "text", filter_container_id: "PTDFilter" },
{column_number: 21, filter_type: "text", filter_container_id: "nDownFilter" },
{column_number: 17, filter_type: "text", filter_container_id: "sourceFilter" },
{column_number: 18, filter_type: "text", filter_container_id: "reconFilter" },
{column_number: 22, filter_type: "text", filter_container_id: "STLTFilter"},
{column_number: 23, filter_type: "text", filter_container_id: "payTypeFilter"},type
{column_number: 24, filter_type: "text", filter_container_id: "wholesaleOrRetailFilter"}
]);
});