如何在javascript中将stringyfied数组值转换为float

时间：2017-05-02 05:02:06

标签： javascript json

我使用 data_str = JSON.stringify（data）; 转换为字符串。 json中的数据是

[{"temperSensorData":"28.489084691371996","temperSensorUnit":"celsius","timestamp":"1493270171424","timestamp2":"1493270171454","timestamp3":"1493270171454","val":"0"},{"temperSensorData":"28.48908469137112","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171522","timestamp3":"1493270171523","val":"1"},{"temperSensorData":"28.489084691371186","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171523","timestamp3":"1493270171524","val":"2"},{"temperSensorData":"28.489084691371595","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171524","timestamp3":"1493270171525","val":"3"},{"temperSensorData":"28.48908469137168","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"4"},{"temperSensorData":"28.489084691371684","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"5"},{"temperSensorData":"28.489084691371357","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171530","timestamp3":"1493270171531","val":"6"},{"temperSensorData":"28.489084691371144","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171531","timestamp3":"1493270171532","val":"7"},{"temperSensorData":"28.48908469137181","temperSensorUnit":"celsius","timestamp":"1493270171431","timestamp2":"1493270171546","timestamp3":"1493270171546","val":"25"}]

现在我想采用 timestamp 值并执行一些数学运算。如何将其转换为Float值？ 即使我使用 parseInt（时间戳）和数字（时间戳），它仍然无效并显示结果： NaN 。

5 个答案:

答案 0 :(得分：2)

尝试使用parseFloat（＆＃34; 28.489084691371996＆＃34;）功能。它会对你有所帮助。

parseFloat("28.489084691371996")

如果您需要进一步的帮助，请告诉我。

答案 1 :(得分：1)

parseFloat（） - Mozilla 

var arr = [{
"temperSensorData": "28.489084691371996", "temperSensorUnit": "celsius", "timestamp": "1493270171424", "timestamp2": "1493270171454", "timestamp3": "1493270171454", "val": "0"
}, {
"temperSensorData": "28.48908469137112", "temperSensorUnit": "celsius", "timestamp": "1493270171426", "timestamp2": "1493270171522", "timestamp3": "1493270171523", "val": "1"
}, {
"temperSensorData": "28.489084691371186", "temperSensorUnit": "celsius", "timestamp": "1493270171426", "timestamp2": "1493270171523", "timestamp3": "1493270171524", "val": "2"
}, {
"temperSensorData": "28.489084691371595", "temperSensorUnit": "celsius", "timestamp": "1493270171426", "timestamp2": "1493270171524", "timestamp3": "1493270171525", "val": "3"
}, {
"temperSensorData": "28.48908469137168", "temperSensorUnit": "celsius", "timestamp": "1493270171428", "timestamp2": "1493270171529", "timestamp3": "1493270171529", "val": "4"
}, {
"temperSensorData": "28.489084691371684", "temperSensorUnit": "celsius", "timestamp": "1493270171428", "timestamp2": "1493270171529", "timestamp3": "1493270171529", "val": "5"
}, {
"temperSensorData": "28.489084691371357", "temperSensorUnit": "celsius", "timestamp": "1493270171429", "timestamp2": "1493270171530", "timestamp3": "1493270171531", "val": "6"
}, {
"temperSensorData": "28.489084691371144", "temperSensorUnit": "celsius", "timestamp": "1493270171429", "timestamp2": "1493270171531", "timestamp3": "1493270171532", "val": "7"
 }, {
"temperSensorData": "28.48908469137181", "temperSensorUnit": "celsius", "timestamp": "1493270171431", "timestamp2": "1493270171546", "timestamp3": "1493270171546", "val": "25"
 }]


var t = arr.map(x=>{
    return parseFloat(x.timestamp)
})

console.log(t)

结果

[ 1493270171424,
  1493270171426,
  1493270171426,
  1493270171426,
  1493270171428,
  1493270171428,
  1493270171429,
  1493270171429,
  1493270171431 ]

答案 2 :(得分：1)

使用 parseFloat(data.timestamp) 代替parseInt，而timestamp是数据json数组的内部对象值。您可以像这样调用data.timestamp 我创建了一些map函数来分隔timestamp并在数组中附加

var data = [{
  "temperSensorData": "28.489084691371996",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171424",
  "timestamp2": "1493270171454",
  "timestamp3": "1493270171454",
  "val": "0"
}, {
  "temperSensorData": "28.48908469137112",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171426",
  "timestamp2": "1493270171522",
  "timestamp3": "1493270171523",
  "val": "1"
}, {
  "temperSensorData": "28.489084691371186",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171426",
  "timestamp2": "1493270171523",
  "timestamp3": "1493270171524",
  "val": "2"
}, {
  "temperSensorData": "28.489084691371595",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171426",
  "timestamp2": "1493270171524",
  "timestamp3": "1493270171525",
  "val": "3"
}, {
  "temperSensorData": "28.48908469137168",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171428",
  "timestamp2": "1493270171529",
  "timestamp3": "1493270171529",
  "val": "4"
}, {
  "temperSensorData": "28.489084691371684",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171428",
  "timestamp2": "1493270171529",
  "timestamp3": "1493270171529",
  "val": "5"
}, {
  "temperSensorData": "28.489084691371357",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171429",
  "timestamp2": "1493270171530",
  "timestamp3": "1493270171531",
  "val": "6"
}, {
  "temperSensorData": "28.489084691371144",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171429",
  "timestamp2": "1493270171531",
  "timestamp3": "1493270171532",
  "val": "7"
}, {
  "temperSensorData": "28.48908469137181",
  "temperSensorUnit": "celsius",
  "timestamp": "1493270171431",
  "timestamp2": "1493270171546",
  "timestamp3": "1493270171546",
  "val": "25"
}]

console.log(data.map(a=> parseFloat(a.timestamp)))

答案 3 :(得分：1)

这是将JSON转换为对象的好方法......

样品：

data_str=JSON.parse('[{"temperSensorData":"28.489084691371996","temperSensorUnit":"celsius","timestamp":"1493270171424","timestamp2":"1493270171454","timestamp3":"1493270171454","val":"0"},{"temperSensorData":"28.48908469137112","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171522","timestamp3":"1493270171523","val":"1"},{"temperSensorData":"28.489084691371186","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171523","timestamp3":"1493270171524","val":"2"},{"temperSensorData":"28.489084691371595","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171524","timestamp3":"1493270171525","val":"3"},{"temperSensorData":"28.48908469137168","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"4"},{"temperSensorData":"28.489084691371684","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"5"},{"temperSensorData":"28.489084691371357","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171530","timestamp3":"1493270171531","val":"6"},{"temperSensorData":"28.489084691371144","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171531","timestamp3":"1493270171532","val":"7"},{"temperSensorData":"28.48908469137181","temperSensorUnit":"celsius","timestamp":"1493270171431","timestamp2":"1493270171546","timestamp3":"1493270171546","val":"25"}]');
console.log (data_str.length);

console.log (data_str[0].temperSensorData);
console.log(parseFloat(data_str[0].temperSensorData));

myTimeStamp = parseInt(data_str[0].timestamp);
console.log(myTimeStamp);


var theDate = new Date(myTimeStamp);
dateString = theDate.toString();
console.log(dateString);

答案 4 :(得分：1)

<强>样本 

var jsonObj = [{"temperSensorData":"28.489084691371996","temperSensorUnit":"celsius","timestamp":"1493270171424","timestamp2":"1493270171454","timestamp3":"1493270171454","val":"0"},{"temperSensorData":"28.48908469137112","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171522","timestamp3":"1493270171523","val":"1"},{"temperSensorData":"28.489084691371186","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171523","timestamp3":"1493270171524","val":"2"},{"temperSensorData":"28.489084691371595","temperSensorUnit":"celsius","timestamp":"1493270171426","timestamp2":"1493270171524","timestamp3":"1493270171525","val":"3"},{"temperSensorData":"28.48908469137168","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"4"},{"temperSensorData":"28.489084691371684","temperSensorUnit":"celsius","timestamp":"1493270171428","timestamp2":"1493270171529","timestamp3":"1493270171529","val":"5"},{"temperSensorData":"28.489084691371357","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171530","timestamp3":"1493270171531","val":"6"},{"temperSensorData":"28.489084691371144","temperSensorUnit":"celsius","timestamp":"1493270171429","timestamp2":"1493270171531","timestamp3":"1493270171532","val":"7"},{"temperSensorData":"28.48908469137181","temperSensorUnit":"celsius","timestamp":"1493270171431","timestamp2":"1493270171546","timestamp3":"1493270171546","val":"25"}];

console.log(jsonObj.map(item => parseFloat(item.timestamp)));

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