window.onload = function() {
var Employee = function(name, bd) {
this.name = name;
this.bd = bd;
this.age = function() {
2017 - this.bd;
}
}
var empName = document.getElementById("name").value;
var empBday = document.getElementById("bday").value;
var empList = new Employee(empName, empBday);
var Btn = document.getElementById('add').addEventListener('click', function() {
console.log(empList);
});
}
<input type="text" id="name" value=""></input>
<input type="text" id="bday" value=""></input>
<button id="add">Add</button>
即使我输入了一些值,然后我将Console.log中的对象称为“emplist”,但我只得到Employee {name: "", bd: "", age: ƒ}
答案 0 :(得分:5)
仅在单击按钮后创建对象:
var Employee = function(name, bd) {
this.name = name;
this.bd = bd;
this.age = function() {
2017 - this.bd;
}
}
window.onload = function () {
document.getElementById('add').addEventListener('click', function(){
var empName = document.getElementById("name").value;
var empBday = document.getElementById("bday").value;
var empList = new Employee(empName, empBday);
console.log(empList);
});
}
答案 1 :(得分:4)
您在窗口onload中为对象分配值。因此,分配空值是因为输入元素在默认情况下具有空值
将其更改为
window.onload = function () {
var Btn = document.getElementById('add').addEventListener('click', function(){
var Employee = function(name, bd){
this.name = name;
this.bd = bd;
this.age = function(){
2017 - this.bd;
}
}
var empName = document.getElementById("name").value;
var empBday = document.getElementById("bday").value;
var empList = new Employee(empName, empBday);
console.log(empList);
});
}
&#13;
<html>
<head>
<title>Employee Details</title>
<script src="script.js"></script>
</head>
<body>
<input type="text" id="name" value=""></input>
<input type="text" id="bday" value=""></input>
<button id="add">Add</button>
</body>
</html>
&#13;
答案 2 :(得分:-1)
您需要像这样添加处理程序更改事件:
<html>
<head>
<title>Employee Details</title>
<script src="script.js"></script>
</head>
<body>
<input type="text" id="name"></input>
<input type="text" id="bday"></input>
<button id="add">Add</button>
</body>
</html>
df['x'] = df.apply(lambda x: tuple(sorted(x)), axis=1)
df = df.drop_duplicates('x')
del df['x']