我有来自php的以下输出，我从使用ajax获得。
AVAILABILITY: "99.26"
BEARER: "3G"
SUM(UNAVAILABILITY_D): "11458800"
SUM(UNAVAILABILITY_N): "84353"
TIMESTAMP: "2015-12-08 14:00"
VENDOR: "Hua"
VF_REGION: "South"
数组包含4325.我正在尝试对UNAVAILABILITY_D和UNAVAILABILITY_N求和，并按TIMESTAMP对它们进行分组。 TIMESTAMP总是每小时一次。
我的第一个函数是循环数组并将日期转换为秒，并且在每个时间戳数组中，我总结了UNAVAILABILITY_D和UNAVAILABILITY_N。
function loopInitial(data){
console.log(data);
var n = 0;
var d = 0;
for(i=0;i<data.length;i++){
//sevenDays_object[data[i].TIMESTAMP] = ( typeof sevenDays_object[data[i].TIMESTAMP] != 'undefined' && sevenDays_object[data[i].TIMESTAMP] instanceof Array ) ? sevenDays_object[data[i].TIMESTAMP] : []
//sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_N'] = ( typeof sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_N'] != 'undefined' && sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_N'] instanceof Array ) ? sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_N'] : []
//sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_D'] = ( typeof sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_D'] != 'undefined' && sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_D'] instanceof Array ) ? sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_D'] : []
//sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_N'] += data[i]['SUM(UNAVAILABILITY_N)'];
//sevenDays_object[data[i].TIMESTAMP]['UNAVAILABILITY_D'] += data[i]['SUM(UNAVAILABILITY_D)'];
var to_seconds = new Date(data[i].TIMESTAMP).getTime() / 1000; // convert date to seconds as string is not sortable in object.
if( typeof sevenDays_object[to_seconds] == 'undefined' && !(sevenDays_object[to_seconds] instanceof Array) ) { sevenDays_object[to_seconds] = []; }
if( typeof sevenDays_object[to_seconds]['UNAVAILABILITY_N'] == 'undefined' && !(sevenDays_object[to_seconds]['UNAVAILABILITY_N'] instanceof Array) ) { sevenDays_object[to_seconds]['UNAVAILABILITY_N'] = [] ;}
if( typeof sevenDays_object[to_seconds]['UNAVAILABILITY_D'] == 'undefined' && !(sevenDays_object[to_seconds]['UNAVAILABILITY_D'] instanceof Array) ) {sevenDays_object[to_seconds]['UNAVAILABILITY_D'] = []; }
sevenDays_object[to_seconds]['UNAVAILABILITY_N'] = +sevenDays_object[to_seconds]['UNAVAILABILITY_N'] + +data[i]['SUM(UNAVAILABILITY_N)'];
sevenDays_object[to_seconds]['UNAVAILABILITY_D'] = +sevenDays_object[to_seconds]['UNAVAILABILITY_N'] + +data[i]['SUM(UNAVAILABILITY_D)'];
}
//console.log(sevenDays_object);
//console.log(sevenDays_object);
return sevenDays_object;
}
然后我循环这个对象以获得正确的计算并为flot graph创建对象。
function calculateAvailability(data){
//console.log(data);
var arr = [];
for (property in data){
console.log( property );
console.log( data[property] );
//var d = new Date(property);
//console.log(d);
//var s = d.getTime() / 1000;
//var availability = (Math.round( ( (1 - data[property]['UNAVAILABILITY_N'] / data[property]['UNAVAILABILITY_D']) * 100) * 100)) / 100;
var availability = Math.round( ((1 - data[property]['UNAVAILABILITY_N'] / data[property]['UNAVAILABILITY_D']) * 100) *100 ) /100;
//if(property == 1450069200){
console.log("availability = " + availability);
//}
arr.push({0 : property ,1: availability });
}
//for(i=0;i<arr.length;i++){
//console.log(arr[i]);
//arr[data[i]] = ( typeof arr[data[i]] != 'undefined' && arr[data[i]] instanceof Array ) ? data[i] : []
//arr[i] = ( typeof arr[i] != 'undefined' && arr[i] instanceof Array ) ? i : []
//}
//console.log( "2015/12/11 07:00" + " = " + new Date("2015/12/11 07:00").getTime() / 1000 );
var y = new Date( 1449817200 * 1000);
//console.log( y );
var x = new Date( 1449208800000 * 1000);
console.log( x );
console.log( x.getFullYear() );
///plot.setData(arr);
//plot.setupGrid();
//plot.draw();
//console.log(arr);
return arr;
}
我现在遇到的问题是日期转换似乎不正确。以下是我制定的计算数据
[1449572400,0.68]
[1449576000,29.54]
[1449579600,92.78]
[1449583200,92.96]
[1449586800,66.82]
[1449590400,91.9]
[1449594000,65.98]
[1449597600,68.78]
[1449601200,51.75]
[1449604800,2.47]
[1449608400,91.25]
[1449612000,1.5]
[1449615600,39.19]
[1449619200,72.43]
[1449622800,0.8]
[1449626400,46.81]
[1449630000,68.37]
[1449633600,79.43]
[1449637200,67.18]
[1449640800,2.43]
[1449644400,2.4]
[1449648000,0.6]
[1449651600,0.24]
[1449655200,0.22]
[1449658800,70.17]
[1449662400,57.82]
[1449666000,62.86]
[1449669600,72.58]
[1449673200,0.25]
[1449676800,94.16]
[1449680400,62.4]
[1449684000,2.51]
[1449687600,40.69]
[1449691200,91.54]
[1449694800,2.49]
[1449698400,90.85]
[1449702000,0.92]
[1449705600,41.44]
[1449709200,1]
[1449712800,70.08]
[1449716400,36]
[1449720000,37.89]
[1449723600,0.63]
[1449727200,0.83]
[1449730800,0.65]
[1449734400,74.95]
[1449738000,0.62]
[1449741600,0.43]
[1449745200,0.2]
[1449748800,0.1]
[1449752400,61.95]
[1449756000,71.94]
[1449759600,73.07]
[1449763200,74.87]
[1449766800,32.19]
[1449770400,78.38]
[1449774000,67.64]
[1449777600,88.73]
[1449781200,65.47]
[1449784800,76.68]
[1449788400,35.89]
[1449792000,91.54]
[1449795600,0.61]
[1449799200,90.14]
[1449802800,96.4]
[1449806400,0.62]
[1449810000,0.31]
[1449813600,0.31]
[1449817200,0.31]
[1449820800,1.82]
[1449824400,0.44]
[1449828000,82.85]
[1449831600,39.28]
[1449835200,87.17]
[1449838800,0.21]
[1449842400,59.39]
[1449846000,73.77]
[1449849600,74.69]
[1449853200,63.96]
[1449856800,68.37]
[1449860400,80.92]
[1449864000,94.81]
[1449867600,0.46]
[1449871200,24.99]
[1449874800,0.26]
[1449878400,91.72]
[1449882000,73.82]
[1449885600,70.85]
[1449889200,0.72]
[1449892800,90.59]
[1449896400,2.4]
[1449900000,68.8]
[1449903600,0.37]
[1449907200,41.86]
[1449910800,33.88]
[1449914400,78.3]
[1449918000,1.83]
[1449921600,0.53]
[1449925200,75.03]
[1449928800,35]
[1449932400,0.69]
[1449936000,81.65]
[1449939600,74.92]
[1449943200,82.76]
[1449946800,81.99]
[1449950400,80.27]
[1449954000,0.77]
[1449957600,94.3]
[1449961200,71.93]
[1449964800,75.23]
[1449968400,82.99]
[1449972000,0.42]
[1449975600,2.72]
[1449979200,80.1]
[1449982800,46.92]
[1449986400,0.83]
[1449990000,92.25]
[1449993600,0.38]
[1449997200,69.46]
[1450000800,0.32]
[1450004400,81.72]
[1450008000,38]
[1450011600,81.18]
[1450015200,38.18]
[1450018800,91.65]
[1450022400,93.11]
[1450026000,82.31]
[1450029600,0.43]
[1450033200,84.57]
[1450036800,92.72]
[1450040400,71.68]
[1450044000,2.87]
[1450047600,94.17]
[1450051200,0.42]
[1450054800,82.32]
[1450058400,0.82]
[1450062000,84.66]
[1450065600,0.41]
[1450069200,76.55]
[1450072800,74.01]
[1450076400,84.95]
我将日期计算的/ 1000删除到秒后，日期仍然有效，但现在我注意到排序不正确。
[1449583200000,92.96],
[1449597600000,68.78],
[1449576000000,29.54],
[1449669600000,72.58],
[1449604800000,2.47],
[1449572400000,0.68],
[1449687600000,40.69],
[1449655200000,0.22],
[1449619200000,72.43],
[1449586800000,66.82],
[1449601200000,51.75],
[1449622800000,0.8],
[1449608400000,91.25],
[1449633600000,79.43],
[1449698400000,90.85],
[1449579600000,92.78],
[1449612000000,1.5],
[1449590400000,91.9],
[1449594000000,65.98],
[1449615600000,39.19],
[1449662400000,57.82],
[1449716400000,36],
[1449723600000,0.63],
[1449694800000,2.49],
[1449658800000,70.17],
[1449702000000,0.92],
[1449673200000,0.25],
[1449648000000,0.6],
[1449630000000,68.37],
[1449637200000,67.18],
[1449640800000,2.43],
[1449712800000,70.08],
[1449810000000,0.31],
[1449644400000,2.4],
[1449813600000,0.31],
[1449806400000,0.62],
[1449748800000,0.1],
[1449756000000,71.94],
[1449738000000,0.62],
[1449781200000,65.47],
[1449795600000,0.61],
[1449763200000,74.87],
[1449799200000,90.14],
[1449709200000,1],
[1449727200000,0.83],
[1449626400000,46.81],
[1449741600000,0.43],
[1449766800000,32.19],
[1449730800000,0.65],
[1449676800000,94.16],
[1449680400000,62.4],
[1449774000000,67.64],
[1449684000000,2.51],
[1449745200000,0.2],
[1449734400000,74.95],
[1449867600000,0.46],
[1449838800000,0.21],
[1449720000000,37.89],
[1449824400000,0.44],
[1449666000000,62.86],
[1449820800000,1.82],
[1449846000000,73.77],
[1449752400000,61.95],
[1449885600000,70.85],
[1449705600000,41.44],
[1449849600000,74.69],
[1449860400000,80.92],
[1449946800000,81.99],
[1449828000000,82.85],
[1449943200000,82.76],
[1449900000000,68.8],
[1449802800000,96.4],
[1449889200000,0.72],
[1449896400000,2.4],
[1449882000000,73.82],
[1449864000000,94.81],
[1449831600000,39.28],
[1449835200000,87.17],
[1449759600000,73.07],
[1449990000000,92.25],
[1450004400000,81.72],
[1450008000000,38],
[1449878400000,91.72],
[1450011600000,81.18],
[1449792000000,91.54],
[1449925200000,75.03],
[1449993600000,0.38],
[1449997200000,69.46],
[1449972000000,0.42],
[1449871200000,24.99],
[1449856800000,68.37],
[1449975600000,2.72],
[1449853200000,63.96],
[1449928800000,35],
[1449777600000,88.73],
[1449986400000,0.83],
[1449918000000,1.83],
[1449910800000,33.88],
[1449914400000,78.3],
[1449842400000,59.39],
[1449982800000,46.92],
[1449979200000,80.1],
[1449921600000,0.53],
[1449950400000,80.27],
[1449964800000,75.23],
[1450022400000,93.11],
[1450033200000,84.57],
[1449784800000,76.68],
[1449788400000,35.89],
[1449770400000,78.38],
[1449892800000,90.59],
[1449903600000,0.37],
[1449907200000,41.86],
[1449961200000,71.93],
[1450026000000,82.31],
[1449874800000,0.26],
[1449932400000,0.69],
[1450036800000,92.72],
[1450040400000,71.68],
[1450047600000,94.17],
[1449968400000,82.99],
[1450051200000,0.42],
[1450018800000,91.65],
[1450029600000,0.43],
[1450058400000,0.82],
[1449957600000,94.3],
[1449936000000,81.65],
[1450000800000,0.32],
[1450044000000,2.87],
[1450015200000,38.18],
[1449939600000,74.92],
[1450069200000,76.55],
[1450062000000,84.66],
[1450065600000,0.41],
[1450076400000,84.95],
[1449954000000,0.77],
[1450054800000,82.32],
[1449651600000,0.24],
[1449691200000,91.54],
[1449817200000,0.31],
[1450072800000,74.01],
更新
我已修复了php端的排序。我已经解决了使用正确的日期和月份在x轴上显示的flot绘图
var to_seconds = moment(data[i].TIMESTAMP, 'YYYY-MM-DD hh:mm A').unix() * 1000;
我现在遇到的问题是，如果我将to_seconds转换回日期时间格式，则月份和日期正确但不是年份。