数据绑定:
1、表格中得数据是引用了数据源中的数据:表格中数据改变,数据源中得数据也改变;数据源中得数据改变,通过render方法,表格中的数据也改变;
2、如果想把数据源中的数据和表格中的数据分开:JSON.parse(JSON.stringify(data2))
3、保存之前clone表格,使用afterChange的var tmpData = JSON.parse(JSON.stringify(data3));语句。
afterChange:cell改变之后,会触发function(changes, source){}
changes:是二维数组,每一被编辑的单元格信息有:[row, prop, oldVal, newVal]
source:alter", "empty", "edit", "populateFromArray", "loadData", "autofill", "paste"
数据源:
1、数组
data = [ ['', 'Kia', 'Nissan', 'Toyota', 'Honda', 'Mazda', 'Ford'], ['2012', 10, 11, 12, 13, 15, 16], ['2013', 10, 11, 12, 13, 15, 16], ['2014', 10, 11, 12, 13, 15, 16], ['2015', 10, 11, 12, 13, 15, 16], ['2016', 10, 11, 12, 13, 15, 16] ];
2、隐藏第二列
columns: [ {data: 0}, {data: 2}, {data: 3}, {data: 4}, {data: 5}, {data: 6} ]
3、对象数组
objectData = [ {id: 1, name: 'Ted Right', address: ''}, {id: 2, name: 'Frank Honest', address: ''}, {id: 3, name: 'Joan Well', address: ''}, {id: 4, name: 'Gail Polite', address: ''}, {id: 5, name: 'Michael Fair', address: ''}, ];
4、对象数组嵌套列映射
nestedObjects = [ {id: 1, name: {first: "Ted", last: "Right"}, address: ""}, {id: 2, address: ""}, // HOT will create missing properties on demand {id: 3, name: {first: "Joan", last: "Well"}, address: ""} ]; columns: [ {data: 'id'}, {data: 'name.first'}, {data: 'name.last'}, {data: 'address'} ];
5、对象数组自定义数据约定:数据源为空
hot5 = new Handsontable(container, { data: [], dataSchema: {id: null, name: {first: null, last: null}, address: null}, startRows: 5, startCols: 4, colHeaders: ['ID', 'First Name', 'Last Name', 'Address'], columns: [ {data: 'id'}, {data: 'name.first'}, {data: 'name.last'}, {data: 'address'} ], minSpareRows: 1 });
6、数据源为函数:http://docs.handsontable.com/0.16.0/tutorial-data-sources.html 最后一个
var container6 = document.getElementById('example6'), hot6; hot6 = new Handsontable(container6, { data: [ model({id: 1, name: 'Ted Right', address: ''}), model({id: 2, name: 'Frank Honest', address: ''}), model({id: 3, name: 'Joan Well', address: ''}), model({id: 4, name: 'Gail Polite', address: ''}), model({id: 5, name: 'Michael Fair', address: ''}) ], dataSchema: model, colHeaders: ['ID', 'Name', 'Address'], columns: [ {data: property('id')}, {data: property('name')}, {data: property('address')} ], minSpareRows: 1 });
function model(opt){
//...
}