如何解析JSONArray并在Javascript中转换

时间:2016-09-08 18:42:19

标签: javascript arrays json parsing

我有这种格式的JSONArray:

[
{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1WSpD/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"0.03801186624130076","SLIPPAGE_INTERVAL_VWAP_BPS":"10.2711","ROOT_ORDER_ID":"735422197553491","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"EOG.N","ARRIVAL_MID_PX":"93.6100","WEIGHTED_ARR_SLP":"0.12323190317127024","AVG_PX":"93.6586","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.02372627566400397","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 06:00:27.775","WEIGHTED_IVWAP_SLP":"0.2436949499725512","NOTIONAL_USD":"477940","LIST_ID":null,"SYM":"EOG","LIQ_CONSUMPTION":"15.21","URGENCY":null,"SIDE":"Sell Short","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"5103","CL_ORD_ID":"7245294057012908344","LOCAL_REF_START_TIME":"2016-09-06 05:59:57.844","SLIPPAGE_END_LAST_ARR_LAST_BPS":"1.6021","ORD_STATUS":"Filled","IVWAP_PX":"93.5625","LIMIT_PX":"93.6100","ORDER_ID":"735422197553491","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"5.1939","ORDER_QTY":"5103","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"2"},{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1PUxP/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"-0.046488357264395964","SLIPPAGE_INTERVAL_VWAP_BPS":"0.1625","ROOT_ORDER_ID":"73855219760798","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"MCD.N","ARRIVAL_MID_PX":"118.0950","WEIGHTED_ARR_SLP":"-0.0041198933937856425","AVG_PX":"118.0923","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.01830250285999841","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 05:32:24.895","WEIGHTED_IVWAP_SLP":"0.002974156714749742","NOTIONAL_USD":"368684","LIST_ID":null,"SYM":"MCD","LIQ_CONSUMPTION":"62.82","URGENCY":null,"SIDE":"Sell","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"3122","CL_ORD_ID":"7244573979975932119","LOCAL_REF_START_TIME":"2016-09-06 05:32:19.697","SLIPPAGE_END_LAST_ARR_LAST_BPS":"-2.5400","ORD_STATUS":"Filled","IVWAP_PX":"118.0904","LIMIT_PX":"117.9900","ORDER_ID":"73855219760798","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"-0.2251","ORDER_QTY":"3122","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"4"}]

这里所有像"93.6585"等整数都显示为字符串。是否可以将整数/浮点数转换为它们的原始类型(即整数/浮点数)? 背景信息:我在Javascript中使用此JSONArray,然后想对每列进行排序,但由于这些列显示为字符串,因此排序不正确。

这就是我在javascript中需要json列的方式。那么,我在哪里为字段ORDER QTY添加parseInt或Number(比如说)?

3 个答案:

答案 0 :(得分:1)

答案 1 :(得分:1)

为了转换所有数值,这将填充:

var data = [{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1WSpD/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"0.03801186624130076","SLIPPAGE_INTERVAL_VWAP_BPS":"10.2711","ROOT_ORDER_ID":"735422197553491","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"EOG.N","ARRIVAL_MID_PX":"93.6100","WEIGHTED_ARR_SLP":"0.12323190317127024","AVG_PX":"93.6586","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.02372627566400397","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 06:00:27.775","WEIGHTED_IVWAP_SLP":"0.2436949499725512","NOTIONAL_USD":"477940","LIST_ID":null,"SYM":"EOG","LIQ_CONSUMPTION":"15.21","URGENCY":null,"SIDE":"Sell Short","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"5103","CL_ORD_ID":"7245294057012908344","LOCAL_REF_START_TIME":"2016-09-06 05:59:57.844","SLIPPAGE_END_LAST_ARR_LAST_BPS":"1.6021","ORD_STATUS":"Filled","IVWAP_PX":"93.5625","LIMIT_PX":"93.6100","ORDER_ID":"735422197553491","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"5.1939","ORDER_QTY":"5103","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"2"},{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1PUxP/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"-0.046488357264395964","SLIPPAGE_INTERVAL_VWAP_BPS":"0.1625","ROOT_ORDER_ID":"73855219760798","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"MCD.N","ARRIVAL_MID_PX":"118.0950","WEIGHTED_ARR_SLP":"-0.0041198933937856425","AVG_PX":"118.0923","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.01830250285999841","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 05:32:24.895","WEIGHTED_IVWAP_SLP":"0.002974156714749742","NOTIONAL_USD":"368684","LIST_ID":null,"SYM":"MCD","LIQ_CONSUMPTION":"62.82","URGENCY":null,"SIDE":"Sell","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"3122","CL_ORD_ID":"7244573979975932119","LOCAL_REF_START_TIME":"2016-09-06 05:32:19.697","SLIPPAGE_END_LAST_ARR_LAST_BPS":"-2.5400","ORD_STATUS":"Filled","IVWAP_PX":"118.0904","LIMIT_PX":"117.9900","ORDER_ID":"73855219760798","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"-0.2251","ORDER_QTY":"3122","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"4"}]

function isNumeric(n) { 
	return !isNaN(parseFloat(n)) && isFinite(n);
}

var parsedData = data.map(function(obj) {
	return Object.keys(obj).reduce(function(memo, key) {
		var value = obj[key];
		memo[key] = isNumeric(value) ? Number(value) : value;
		
		return memo;
	}, {})
})

console.log(parsedData);

isNumeric() - 实现取自here,因为它是一种可靠的方法,可以确定数据是否为数字,包括检测负数和浮点数等。

可以使用替代方案,但要注意得到误报或否定。

Array.map()将遍历数组并转换每个对象

Object.keys()从对象中提取所有键

Array.reduce()最终将该数组转换为一个新对象,转换它遇到的任何看似数字的值。请注意在调用结束时传递的{} - reduce(func, {}) - 这很重要,因为它是用于缩减函数的初始值。

答案 2 :(得分:0)

尝试并运行它我不确定这是你想要的,但现在每个值都改变了,并且做了一些测试,我犯了一些错误。



var data =[{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1WSpD/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"0.03801186624130076","SLIPPAGE_INTERVAL_VWAP_BPS":"10.2711","ROOT_ORDER_ID":"735422197553491","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"EOG.N","ARRIVAL_MID_PX":"93.6100","WEIGHTED_ARR_SLP":"0.12323190317127024","AVG_PX":"93.6586","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.02372627566400397","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 06:00:27.775","WEIGHTED_IVWAP_SLP":"0.2436949499725512","NOTIONAL_USD":"477940","LIST_ID":null,"SYM":"EOG","LIQ_CONSUMPTION":"15.21","URGENCY":null,"SIDE":"Sell Short","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"5103","CL_ORD_ID":"7245294057012908344","LOCAL_REF_START_TIME":"2016-09-06 05:59:57.844","SLIPPAGE_END_LAST_ARR_LAST_BPS":"1.6021","ORD_STATUS":"Filled","IVWAP_PX":"93.5625","LIMIT_PX":"93.6100","ORDER_ID":"735422197553491","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"5.1939","ORDER_QTY":"5103","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"2"},{"COMPLIANCE_ID":"1/FIRST/US/191CC2/20160906/pW1PUxP/1","TOLERANCE":null,"WEIGHTED_ARR_LAST_SLP":"-0.046488357264395964","SLIPPAGE_INTERVAL_VWAP_BPS":"0.1625","ROOT_ORDER_ID":"73855219760798","ENTERING_TRADER":"duffy_dma2","SECURITY_ID":"MCD.N","ARRIVAL_MID_PX":"118.0950","WEIGHTED_ARR_SLP":"-0.0041198933937856425","AVG_PX":"118.0923","ORDER_CCY":"USD","LEAVES_QTY":"0","WEIGHT":"0.01830250285999841","INITIATING_TRADER":null,"PARTICIPATION_RATE":"0E-12","LOCAL_REF_END_TIME":"2016-09-06 05:32:24.895","WEIGHTED_IVWAP_SLP":"0.002974156714749742","NOTIONAL_USD":"368684","LIST_ID":null,"SYM":"MCD","LIQ_CONSUMPTION":"62.82","URGENCY":null,"SIDE":"Sell","ALGO":"Hydra","EXECUTING_TRADER":"duffy_dma2","EXEC_QTY":"3122","CL_ORD_ID":"7244573979975932119","LOCAL_REF_START_TIME":"2016-09-06 05:32:19.697","SLIPPAGE_END_LAST_ARR_LAST_BPS":"-2.5400","ORD_STATUS":"Filled","IVWAP_PX":"118.0904","LIMIT_PX":"117.9900","ORDER_ID":"73855219760798","VOLUME_LIMIT":"0E-12","SLIPPAGE_ARR_MID_BPS":"-0.2251","ORDER_QTY":"3122","CLIENT_ACRONYM":"PEAKM","EXECUTION_STYLE":"4"}];

function isInt(n){
  if (n === null) return;
  n = Number(n);
  return !isNaN(n) && n % 1 === 0;
}

function isFloat(n) {
  if (n === null) return;
  n = Number(n);
  return !isNaN(n) && n % 1 !== 0;
}

var result = data.map(function(currVal) {
  for (var i = 0, keys = Object.keys(currVal), len = keys.length; i < len; i++) {
    var key = keys[i];
    var item = currVal[key];
    isInt(item) && (currVal[key] = parseInt(item));
    isFloat(item) && (currVal[key] = parseFloat(item));  
}
  return currVal;
});

console.log(result);
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