column_names: [
"School Year Ending",
"Total Students",
"American Indian/Alaskan Native: Total",
"American Indian/Alaskan Native: Male",
"American Indian/Alaskan Native: Female",
"Asian/Pacific Islander: Total",
"Asian/Pacific Islander: Male",
"Asian/Pacific Islander: Female",
"Hispanic: Total",
"Hispanic: Male",
"Hispanic: Female",
"Black: Total",
"Black: Male",
"Black: Female",
"White: Total",
"White: Male",
"White: Female"
],
data: [
"2011-12-31",
3471888,
39433,
19926,
19507,
182697,
94104,
88593,
686081,
344910,
341171,
536271,
260720,
275551,
1970983,
1006592,
964391
]
有没有办法将这两个JSON数组转换为对象格式?例如:
"School Year Ending": "2011-12-31",
"Total Students": 3721888,
...
为方便起见,我更喜欢使用lo-dash功能。有这样的事吗?
答案 0 :(得分:3)
_.zipObject(column_names, data);
应该这样做。
答案 1 :(得分:0)
是。我相信这会用普通的JS来做。
var columns = { };
for (var i in column_names)
columns[column_names[i]] = data[i];
答案 2 :(得分:0)
使用vanilla JavaScript - Fiddle
var column_names = [
"School Year Ending",
"Total Students",
"American Indian/Alaskan Native: Total",
"American Indian/Alaskan Native: Male",
"American Indian/Alaskan Native: Female",
"Asian/Pacific Islander: Total",
"Asian/Pacific Islander: Male",
"Asian/Pacific Islander: Female",
"Hispanic: Total",
"Hispanic: Male",
"Hispanic: Female",
"Black: Total",
"Black: Male",
"Black: Female",
"White: Total",
"White: Male",
"White: Female"
],
data = [
"2011-12-31",
3471888,
39433,
19926,
19507,
182697,
94104,
88593,
686081,
344910,
341171,
536271,
260720,
275551,
1970983,
1006592,
964391
],
obj = {};
for (var i = 0, l = column_names.length; i < l; i += 1) {
obj[column_names[i]] = data[i]
}
console.log(obj);
答案 3 :(得分:0)
又有香草JS的另一种解决方案!这使用forEach
school_data = {
column_names:
[
"School Year Ending",
"Total Students",
"American Indian/Alaskan Native: Total",
"American Indian/Alaskan Native: Male",
"American Indian/Alaskan Native: Female",
"Asian/Pacific Islander: Total",
"Asian/Pacific Islander: Male",
"Asian/Pacific Islander: Female",
"Hispanic: Total",
"Hispanic: Male",
"Hispanic: Female",
"Black: Total",
"Black: Male",
"Black: Female",
"White: Total",
"White: Male",
"White: Female"
],
data:
[
"2011-12-31",
3471888,
39433,
19926,
19507,
182697,
94104,
88593,
686081,
344910,
341171,
536271,
260720,
275551,
1970983,
1006592,
964391
]
}
var new_object = {};
school_data.column_names.forEach(function(el, index, data_array){
new_object[el] = school_data.data[index];
});
console.log(new_object);