Convert arrays and objects to json

WBOY
Release: 2016-07-29 08:56:44
Original
1928 people have browsed it
<?php

	echo time()."<br/>";
	//一维数组转换json
	$arr1 = array("username"=>"zhangsan","age"=>"100");
	$arr12Json = json_encode($arr1);
	print_r($arr1);
	echo "<br/>";
	print_r($arr12Json);
	
	//二维数组转换json
	$arr2 = array(array("name"=>"zhangsan","age"=>"25"), 
	            array("name"=>"lisi","age"=>"26"),
			    );
	$arr2tojson = json_encode($arr2);			
	echo "<br/>";
	print_r($arr2)."<br/>";;
	echo "<br/>";
	print_r($arr2tojson);
	
	//对象转换到json(只转换共有变量,私有变量和函数不转换)
	class demo
	{
		public $public_name = "piblic name";
		protected $protected_name = "protected name";
		private $private_name ="private name";
		
		public function getName()
		{
			return $this->name;
		}
		
	}
	
	$demo = new demo();
	$objToJson = json_encode($demo);
	echo "<br/>";
	print_r($demo);
	print_r($objToJson);
	
	
	
?>
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" 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The above has introduced the conversion of arrays and objects into json, including aspects of it. I hope it will be helpful to friends who are interested in PHP tutorials.

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