我正在绘制一个Dimple/D3图表,该图表将丢失的天数数据绘制为0。
date fruit count
2013-12-08 12:12 apples 2
2013-12-08 12:12 oranges 5
2013-12-09 16:37 apples 1
<- oranges inserted on 12/09 as 0
2013-12-10 11:05 apples 6
2013-12-10 11:05 oranges 2
2013-12-10 20:21 oranges 1我几乎得到了nrabinowitz的excellent answer to work。
我的数据的时间戳格式是YYYY-MM-DD HH-MM,而散列+d3的时间间隔(以天为单位)导致每天午夜的0点,即使有当天晚些时候的数据。
我发现的一个几乎解决方案是 to discard the hours/minutes,因此所有数据似乎都是从午夜开始的:
...
var dateHash = data.reduce(function(agg, d) {
agg[d.date.setHours(0,0,0,0)] = true;
return agg;
}, {});
...当每天只有一个条目的时候,这就像预期的那样工作,但是在有多个条目的日子里,值被加在一起。所以在上面12/10的数据中:苹果:6,橘子: 3。
理想情况下(在我看来),我会将绘图数据从date散列中分离出来,而散列则会丢弃小时/分钟。这将将午夜日期散列与D3日间隔进行比较,在午夜时用缺失的数据填充0,然后用完整的小时/分钟绘制真实的点。
我已经尝试过data2 = data.slice(),然后是setHours,但是图仍然得到了午夜点:
...
// doesn't work, original data gets converted
var data2 = data.slice();
var dateHash = data2.reduce(function(agg, d) {
agg[d.date.setHours(0,0,0,0)] = true;
return agg;
}, {});
...给nrabinowitz的道具,下面是经过修改的代码:
// get the min/max dates
var extent = d3.extent(data, function(d) { return d.date; }),
// hash the existing days for easy lookup
dateHash = data.reduce(function(agg, d) {
agg[d.date] = true;
// arrr this almost works except if multiple entries per day
// agg[d.date.setHours(0,0,0,0)] = true;
return agg;
}, {}),
headers = ["date", "fruit", "count"];
// make even intervals
d3.time.days(extent[0], extent[1])
// drop the existing ones
.filter(function(date) {
return !dateHash[date];
})
// fruit list grabbed from user input
.forEach(function(date) {
fruitlist.forEach(function(fruits) {
var emptyRow = { date: date };
headers.forEach(function(header) {
if(header === headers[0]) {
emptyRow[header] = fruits;}
else if(header === headers[1]) {
emptyRow[header] = 0;};
// and push them into the array
data.push(emptyRow);
});
// re-sort the data
data.sort(function(a, b) { return d3.ascending(a.date, b.date); });(我不关心时分制中的零分,只关心日报。如果time.interval从天改为小时,我怀疑哈希和D3会处理得很好。)
如何将日期散列与数据分离?这就是我该做的吗?
发布于 2014-01-03 11:52:37
我想不出一种顺利的方法来做到这一点,但我已经编写了一些自定义代码,这些代码可以与您的示例一起工作,并且希望能够与您的实际情况一起工作。
var svg = dimple.newSvg("#chartContainer", 600, 400),
data = [
{ date : '2013-12-08 12:12', fruit : 'apples', count : 2 },
{ date : '2013-12-08 12:12', fruit : 'oranges', count : 5 },
{ date : '2013-12-09 16:37', fruit : 'apples', count : 1 },
{ date : '2013-12-10 11:05', fruit : 'apples', count : 6 },
{ date : '2013-12-10 11:05', fruit : 'oranges', count : 2 },
{ date : '2013-12-10 20:21', fruit : 'oranges', count : 1 }
],
lastDate = {},
filledData = [],
dayLength = 86400000,
formatter = d3.time.format("%Y-%m-%d %H:%M");
// The logic below requires the data to be ordered by date
data.sort(function(a, b) {
return formatter.parse(a.date) - formatter.parse(b.date);
});
// Iterate the data to find and fill gaps
data.forEach(function (d) {
// Work from midday (this could easily be changed to midnight)
var noon = formatter.parse(d.date).setHours(12, 0, 0, 0);
// If the series value is not in the dictionary add it
if (lastDate[d.fruit] === undefined) {
lastDate[d.fruit] = formatter.parse(data[0].date).setHours(12, 0, 0, 0);
}
// Calculate the days since the last occurance of the series value and fill
// with a line for each missing day
for (var i = 1; i <= (noon - lastDate[d.fruit]) / dayLength - 1; i++) {
filledData.push({
date : formatter(new Date(lastDate[d.fruit] + (i * dayLength))),
fruit : d.fruit,
count : 0 });
}
// update the dictionary of last dates
lastDate[d.fruit] = noon;
// push to a new data array
filledData.push(d);
}, this);
// Configure a dimple line chart to display the data
var chart = new dimple.chart(svg, filledData),
x = chart.addTimeAxis("x", "date", "%Y-%m-%d %H:%M", "%Y-%m-%d"),
y = chart.addMeasureAxis("y", "count"),
s = chart.addSeries("fruit", dimple.plot.line);
s.lineMarkers = true;
chart.draw();你可以在这里看到它的作用:
http://jsfiddle.net/LsvLJ/
https://stackoverflow.com/questions/20854624
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