对象数组的 CSV 格式,总计 运行
CSV format to object array with running total
编辑:我该怎么做:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee"}
];
...
对此:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders", total: 1 },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump", total: 1 },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump", total: 2 },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump", total: 3 },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders", total: 2 },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee", total: 1}
]
我查看了处理对象和数组的流行库。例如,underscore.js、lodash.js、lazy.js。我找不到任何可以做到这一点的东西
不是我的,但这就是你要找的:
// Source: http://www.bennadel.com/blog/1504-Ask-Ben-Parsing-CSV-Strings-With-Javascript-Exec-Regular-Expression-Command.htm
// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray(strData, strDelimiter) {
// Check to see if the delimiter is defined. If not,
// then default to comma.
strDelimiter = (strDelimiter || ",");
// Create a regular expression to parse the CSV values.
var objPattern = new RegExp((
// Delimiters.
"(\" + strDelimiter + "|\r?\n|\r|^)" +
// Quoted fields.
"(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
// Standard fields.
"([^\"\" + strDelimiter + "\r\n]*))"), "gi");
// Create an array to hold our data. Give the array
// a default empty first row.
var arrData = [[]];
// Create an array to hold our individual pattern
// matching groups.
var arrMatches = null;
// Keep looping over the regular expression matches
// until we can no longer find a match.
while (arrMatches = objPattern.exec(strData)) {
// Get the delimiter that was found.
var strMatchedDelimiter = arrMatches[1];
// Check to see if the given delimiter has a length
// (is not the start of string) and if it matches
// field delimiter. If id does not, then we know
// that this delimiter is a row delimiter.
if (strMatchedDelimiter.length && (strMatchedDelimiter != strDelimiter)) {
// Since we have reached a new row of data,
// add an empty row to our data array.
arrData.push([]);
}
// Now that we have our delimiter out of the way,
// let's check to see which kind of value we
// captured (quoted or unquoted).
if (arrMatches[2]) {
// We found a quoted value. When we capture
// this value, unescape any double quotes.
var strMatchedValue = arrMatches[2].replace(
new RegExp("\"\"", "g"), "\"");
} else {
// We found a non-quoted value.
var strMatchedValue = arrMatches[3];
}
// Now that we have our value string, let's add
// it to the data array.
arrData[arrData.length - 1].push(strMatchedValue);
}
// Return the parsed data.
return (arrData);
}
function CSV2JSON(csv) {
var array = CSVToArray(csv);
var objArray = [];
for (var i = 1; i < array.length; i++) {
objArray[i - 1] = {};
for (var k = 0; k < array[0].length && k < array[i].length; k++) {
var key = array[0][k];
objArray[i - 1][key] = array[i][k]
}
}
var json = JSON.stringify(objArray);
var str = json.replace(/},/g, "},\r\n");
return str;
}
JSFiddle 在这里:
假设您想获得某个人的条目总数,您可以使用 underscore.js groupBy()
and reduce()
函数
假设您不需要支持旧版浏览器,vanillaJS 拥有您需要的一切:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee"}
];
var x = document.getElementById('x');
var runningTotals = {};
var addTotalToTicket = function(ticket){
if ( ! (ticket.name in runningTotals ) ) {
runningTotals[ticket.name] = 0;
}
runningTotals[ticket.name]++;
ticket.votes = runningTotals[ticket.name];
return ticket;
};
var ticketsWithTotals = tickets.map(addTotalToTicket);
x.innerHTML = JSON.stringify(ticketsWithTotals,null," ");
pre {
background-color: #ded;
}
<pre><code id="x"></code></pre>
编辑:我该怎么做:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee"}
];
...
对此:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders", total: 1 },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump", total: 1 },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump", total: 2 },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump", total: 3 },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders", total: 2 },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee", total: 1}
]
我查看了处理对象和数组的流行库。例如,underscore.js、lodash.js、lazy.js。我找不到任何可以做到这一点的东西
不是我的,但这就是你要找的:
// Source: http://www.bennadel.com/blog/1504-Ask-Ben-Parsing-CSV-Strings-With-Javascript-Exec-Regular-Expression-Command.htm
// This will parse a delimited string into an array of
// arrays. The default delimiter is the comma, but this
// can be overriden in the second argument.
function CSVToArray(strData, strDelimiter) {
// Check to see if the delimiter is defined. If not,
// then default to comma.
strDelimiter = (strDelimiter || ",");
// Create a regular expression to parse the CSV values.
var objPattern = new RegExp((
// Delimiters.
"(\" + strDelimiter + "|\r?\n|\r|^)" +
// Quoted fields.
"(?:\"([^\"]*(?:\"\"[^\"]*)*)\"|" +
// Standard fields.
"([^\"\" + strDelimiter + "\r\n]*))"), "gi");
// Create an array to hold our data. Give the array
// a default empty first row.
var arrData = [[]];
// Create an array to hold our individual pattern
// matching groups.
var arrMatches = null;
// Keep looping over the regular expression matches
// until we can no longer find a match.
while (arrMatches = objPattern.exec(strData)) {
// Get the delimiter that was found.
var strMatchedDelimiter = arrMatches[1];
// Check to see if the given delimiter has a length
// (is not the start of string) and if it matches
// field delimiter. If id does not, then we know
// that this delimiter is a row delimiter.
if (strMatchedDelimiter.length && (strMatchedDelimiter != strDelimiter)) {
// Since we have reached a new row of data,
// add an empty row to our data array.
arrData.push([]);
}
// Now that we have our delimiter out of the way,
// let's check to see which kind of value we
// captured (quoted or unquoted).
if (arrMatches[2]) {
// We found a quoted value. When we capture
// this value, unescape any double quotes.
var strMatchedValue = arrMatches[2].replace(
new RegExp("\"\"", "g"), "\"");
} else {
// We found a non-quoted value.
var strMatchedValue = arrMatches[3];
}
// Now that we have our value string, let's add
// it to the data array.
arrData[arrData.length - 1].push(strMatchedValue);
}
// Return the parsed data.
return (arrData);
}
function CSV2JSON(csv) {
var array = CSVToArray(csv);
var objArray = [];
for (var i = 1; i < array.length; i++) {
objArray[i - 1] = {};
for (var k = 0; k < array[0].length && k < array[i].length; k++) {
var key = array[0][k];
objArray[i - 1][key] = array[i][k]
}
}
var json = JSON.stringify(objArray);
var str = json.replace(/},/g, "},\r\n");
return str;
}
JSFiddle 在这里:
假设您想获得某个人的条目总数,您可以使用 underscore.js groupBy()
and reduce()
函数
假设您不需要支持旧版浏览器,vanillaJS 拥有您需要的一切:
tickets = [
{ date: "Jan 05,2016", time: "08:19 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:29 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:31 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Donald Trump" },
{ date: "Jan 05,2016", time: "09:34 AM", name: "Bernie Sanders" },
{ date: "Jan 05,2016", time: "09:07 AM", name: "Mike Huckabee"}
];
var x = document.getElementById('x');
var runningTotals = {};
var addTotalToTicket = function(ticket){
if ( ! (ticket.name in runningTotals ) ) {
runningTotals[ticket.name] = 0;
}
runningTotals[ticket.name]++;
ticket.votes = runningTotals[ticket.name];
return ticket;
};
var ticketsWithTotals = tickets.map(addTotalToTicket);
x.innerHTML = JSON.stringify(ticketsWithTotals,null," ");
pre {
background-color: #ded;
}
<pre><code id="x"></code></pre>