这是我拥有的数据:
[
{'TotalTime': 10, 'Hour': 0, 'Name': 'Sam'},
{'TotalTime': 15, 'Hour': 1, 'Name': 'Bob'},
{'TotalTime': 300, 'Hour': 2, 'Name': 'Tom'},
... and so on till,
{'TotalTime': 124, 'Hour': 23, 'Name': 'Jon'}
]
一天中每个小时的数据。我希望从中创建一个甘特图，其中条形的大小基于 TotalTime。
y 轴上的名称和 x 轴上的小时。
是否可以在d3.js上制作没有开始时间和结束时间的甘特图？
最佳答案
这是可能的，但如果您使用 D3.js，则需要自己绘制它。因此，如果您以前制作过条形图，沿着这些思路，设置一些轴，将它们添加到 SVG 并使用它们将数据转换为您将放在图表上的矩形，然后使用数据中的名称标记矩形。 D3.js 不包含此布局。如果您还没有这样做，请浏览 tutorials : Let’s Make a Bar Chart, Parts I , II & III ，然后继续查看 custom time axis example ，以及 related A P I s。
还有许多其他基于 D3.js 构建的库，例如 C3提供预制图表(如 D3 的布局)，但我不知道有哪个提供甘特样式图表。有one example Gantt chart那里(随机将任务添加到从 1 小时到 1 周的各种缩放时间 View 中)，但我发现它比下面我自己的时间 block 更令人困惑。 YMMV。
我用 d3js 制作了一个更像日历的图表，您可以在这里阅读:https://github.com/dlamblin/timeblocks 。您有不同的输入数据格式，但您可以在紧要关头进行调整并交换旋转轴。假设您愿意尽快紧急执行此操作。
为了使上述内容更易于阅读和查看，我将其拆解为 JSfiddle example .
这里只是内嵌到答案中的 JavaScript(这不是甘特图，它是一周 7 天的计划时间 block 的垂直布局):
var timeFmt = d3.time.format.utc('%H.%M'),
weekdaydef = 'Mon Tue Wed Thu Fri Sat Sun'.split(' '),
weekdayseq = 'Mon Tue Wed Thu Fri Sat Sun'.split(' '),
axes = [null, null, null, null];
function hm(i) {
var s = i.toFixed(2);
return timeFmt.parse((s.length < 4) ? '0' + s : s);
}
var timeData = [
{key: "m1","wday": 0,"begin": hm(6.00),"end": hm(7.00),
label: "Rising, dress etc\n\retc"},
{key: "m2","wday": 0,"begin": hm(7.00),"end": hm(7.30),
label: "Prep Sophie"},
{key: "m3","wday": 0,"begin": hm(7.30),"end": hm(8.00),
label: "Transit to School"
}, {
key: "t1",
"wday": 1,
"begin": hm(6.00),
"end": hm(7.00),
label: "Rising, dress etc"
}, {
key: "t2",
"wday": 1,
"begin": hm(17.00),
"end": hm(18.00),
label: "call"
},
{
key: "w1",
"wday": 2,
"begin": hm(6.00),
"end": hm(7.00),
'color': 0,
label: "Rising, dress etc"
}, {
key: "w2",
"wday": 2,
"begin": hm(7.00),
"end": hm(7.30),
'color': 0,
label: "Prep Sophie"
}, {
key: "w3",
"wday": 2,
"begin": hm(7.30),
"end": hm(8.00),
'color': 1,
label: "Transit to School"
}, {
key: "w4",
"wday": 2,
"begin": hm(8.00),
"end": hm(9.00),
'color': 2,
label: "Read Emails"
}, {
key: "w5",
"wday": 2,
"begin": hm(9.00),
"end": hm(10.00),
'color': 2,
label: "Write Emails"
}, {
key: "w6",
"wday": 2,
"begin": hm(10.00),
"end": hm(13.00),
'color': 3,
label: "Job"
}, {
key: "w7",
"wday": 2,
"begin": hm(13.00),
"end": hm(14.00),
'color': 4,
label: "Lunch & Meditation"
}, {
key: "w8",
"wday": 2,
"begin": hm(14.00),
"end": hm(15.00),
'color': 5,
label: "Pick Sophie & Home"
}, {
key: "w9",
"wday": 2,
"begin": hm(15.00),
"end": hm(18.00),
'color': 0,
label: "Clean"
}, {
key: "wa",
"wday": 2,
"begin": hm(18.00),
"end": hm(19.00),
'color': 0,
label: "Plan"
}, {
key: "wb",
"wday": 2,
"begin": hm(19.00),
"end": hm(20.00),
'color': 0,
label: "Wrap: Read Email & Clean"
},
{
key: "r1",
"wday": 3,
"begin": hm(6.00),
"end": hm(7.00),
label: "Rising, dress etc"
},
{
key: "f1",
"wday": 4,
"begin": hm(6.00),
"end": hm(7.00),
label: "Rising, dress etc"
}
];
timeData = timeData.sort(function(a, b) {
var o = d3.ascending(a.wday, b.wday);
return o === 0 ? d3.ascending(a.begin, b.begin) : o;
});
// Spacing out times by 5 minutes... see display
// var timeDataMap = d3.map(timeData, function(d) {return d.key;});
// timeDataMap.forEach(function(k,v) {v.end.setMinutes(v.end.getMinutes()-5);});
// timeData = timeDataMap.values();
var scale, colors = d3.scale.category10();
colors.range(d3.range(10).map(
function(i) {
return d3.rgb(colors(i)).brighter(1.25).toString();
}));
function d3UpdateScales() {
var svg = d3.select('#timeblock')[0][0],
margin = {
top: 25,
right: 80,
bottom: 25,
left: 80
},
width = svg.clientWidth - margin.left - margin.right,
height = svg.clientHeight - margin.top - margin.bottom;
return scale = {
margin: margin,
width: width,
height: height,
time: d3.time.scale.utc() // not d3.scale.linear()
.domain([d3.min(timeData, function(d) {
return d.begin
}),
d3.max(timeData, function(d) {
return d.end
})
])
.rangeRound([0, height]),
days: d3.scale.ordinal()
.domain(weekdayseq)
.rangePoints([0, width]),
week: d3.scale.ordinal()
.domain(weekdayseq)
.rangeRoundBands([0, width], 0.05),
}
}
function d3Update() {
var scale = d3UpdateScales();
// Update…
var svg = d3.select('#timeblock');
if (svg.select('g.view')[0][0] == null) {
svg.append('g').attr('class', 'view').attr('transform', 'translate(' + scale.margin.left + ',' + scale.margin.top + ')');
}
var g = svg.select('g.view').selectAll('g.data')
.data(timeData);
// Enter…
var ge = g.enter()
.append("g")
.attr('class', 'data');
ge.append("rect")
.attr("x", function(d) {
return scale.week(weekdaydef[d.wday]) + (scale.week.rangeBand() / 2)
})
.attr("y", function(d) {
var e = new Date(d.end);
e.setMinutes(e.getMinutes() - 5);
return scale.time(d.begin) + ((scale.time(e) - scale.time(d.begin)) / 2)
})
.attr("width", 0)
.attr("height", 0)
.attr("style", function(d) {
return ("color" in d) ? "fill:" + colors(d.color) : null
})
ge.append("text")
.attr("dy", "1.1em")
.text(function(d) {
return d.label;
});
// Exit…
g.exit().remove();
// Update…
g.select("rect")
.transition()
.attr("x", function(d) {
return scale.week(weekdaydef[d.wday])
})
.attr("y", function(d) {
return scale.time(d.begin)
})
.attr("width", function(d) {
return scale.week.rangeBand()
})
.attr("height", function(d) {
var e = new Date(d.end);
e.setMinutes(e.getMinutes() - 5);
return (scale.time(e) - scale.time(d.begin))
})
g.select("text")
.transition()
.attr("x", function(d) {
return scale.week(weekdaydef[d.wday]) + 5
})
.attr("y", function(d) {
return scale.time(d.begin)
});
axesAddOrUpdate(svg);
}
function axesAddOrUpdate(svg) {
var xaxis_t = d3.svg.axis().scale(scale.week).tickSize(13).orient('top'),
yaxis_r = d3.svg.axis().scale(scale.time).tickSize(7).orient('right'),
xaxis_b = d3.svg.axis().scale(scale.week).tickSize(13),
yaxis_l = d3.svg.axis().scale(scale.time).tickSize(7).orient('left');
// global axes array contains top, right, bottom, left axis.
if (null == axes[0]) {
axes[0] = svg.append("g").attr('class', 'axis')
.attr('transform', 'translate(' + String(scale.margin.left) + ',' + String(scale.margin.top) + ')')
.call(xaxis_t);
} else {
axes[0].transition().call(xaxis_t);
}
if (null == axes[2]) {
axes[2] = svg.append("g").attr('class', 'axis')
.attr('transform', 'translate(' + String(scale.margin.left) + ',' + String(scale.height + scale.margin.top) + ')')
.call(xaxis_b);
} else {
axes[2].transition().call(xaxis_b);
}
if (null == axes[3]) {
axes[3] = svg.append("g").attr('class', 'axis')
.attr('transform', 'translate(' + String(scale.margin.left - 5) + ',' + String(scale.margin.top) + ')')
.call(yaxis_l);
} else {
axes[3].transition().call(yaxis_l);
}
if (null == axes[1]) {
axes[1] = svg.append("g").attr('class', 'axis')
.attr('transform', 'translate(' + String(scale.margin.left + scale.width + 5) + ',' + String(scale.margin.top) + ')')
.call(yaxis_r);
} else {
axes[1].transition().call(yaxis_r);
}
}
window.onload = d3Update;
d3.select('#b_rotate').on("click", function(d, i, t) {
weekdayseq.push(weekdayseq.shift());
d3Update();
});
关于javascript - 使用 d3.js 创建甘特图，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/37499500/