使用 D3 对齐问题的多/分组条形图
multi/grouped Bar chart using D3 alignment issue
我正在使用 D3 创建一个分组条形图。我已经编写了代码，条形图显示但不正确。一些条形低于 x 轴，而另一些则位于图形的顶部，而不是从 0 开始。我无法弄清楚这个问题的原因。
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var z = d3.scale.category20c();
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S.%LZ");
var data = [{
"data": [
[
"2016-01-21T01:20:00.000Z",
1.41818181818182
],
[
"2016-01-21T02:28:00.000Z",
1.90661764705882
],
[
"2016-01-21T03:36:00.000Z",
1.66764705882353
],
[
"2016-01-21T04:44:00.000Z",
1.51691176470588
],
[
"2016-01-21T05:52:00.000Z",
1.40955882352941
],
[
"2016-01-21T07:00:00.000Z",
1.46323529411765
],
[
"2016-01-21T08:08:00.000Z",
1.48308823529412
],
[
"2016-01-21T09:16:00.000Z",
1.89384615384615
]
],
"label": "a"
}, {
"data": [
[
"2016-01-21T01:20:00.000Z",
4.98701298701299
],
[
"2016-01-21T02:28:00.000Z",
5.0
],
[
"2016-01-21T03:36:00.000Z",
4.94852941176471
],
[
"2016-01-21T04:44:00.000Z",
4.91176470588235
],
[
"2016-01-21T05:52:00.000Z",
4.81617647058824
],
[
"2016-01-21T07:00:00.000Z",
5.0
],
[
"2016-01-21T08:08:00.000Z",
4.94117647058824
],
[
"2016-01-21T09:16:00.000Z",
4.96969696969697
]
],
"label": "b"
}];
var x = d3.scale.ordinal().rangeRoundBands([0, width], .9);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x).tickSize(0)
.orient("bottom").innerTickSize(-height).outerTickSize(0)
.tickFormat(d3.time.format("%H:%M"));
var yAxis = d3.svg.axis()
.scale(y)
.orient("left").innerTickSize(-width).outerTickSize(0);
var ary = [];
data.forEach(function(d) {
ary.push(d.data);
});
x.domain(ary[0].map(function(d) {
return parseDate.parse(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
console.log(d.y0 + d.y); //This is NaN = Not a number
//return d.y0 + d.y;
return d[1]; //returns grid lines if that is what you want
})]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
var layer = svg.selectAll(".layer")
.data(data)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
return z(i);
});
layer.selectAll("rect")
.data(function(d) {
return d.data;
})
.enter().append("rect")
.attr("x", function(d) {
return x(parseDate.parse(d[0]));
})
.attr("y", function(d) {
console.log(d[1]);
return y(d[1]); //Note this is returning data
})
.attr("height", function(d) {
return y(d[1]); //Note this is returning data
})
.attr("width", x.rangeBand() - 1);text.inner-circle {
font-weight: 400;
font-size: 12px;
text-transform: uppercase;
}
text.inner-text {
font-weight: 400;
font-size: 36px;
font-family: 'Metric Regular', 'Metric';
text-align: center;
font-style: normal;
text-transform: uppercase;
}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 2;
shape-rendering: crispEdges;
}
.grid .tick {
stroke: lightgrey;
stroke-opacity: 0.7;
shape-rendering: crispEdges;
}
.grid path {
stroke-width: 0;
}<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>请帮我解决这个问题。
你错过了这个：
.attr("y", function(d) {
return height - y(d[1]); //<-- offset y position from height
})
此外，您没有考虑将酒吧分组的位置。 简单的解决方法是
将它们并排放置： ...
.enter().append("rect")
.attr("x", function(d, i, j) {
// j is the group
if (j === 0)
return x(parseDate.parse(d[0])) - x.rangeBand() / 2;
else
return x(parseDate.parse(d[0])) + x.rangeBand() / 2;
})
...
完整代码：
<!DOCTYPE html>
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<style>
text.inner - circle {
font - weight: 400;
font - size: 12 px;
text - transform: uppercase;
}
text.inner - text {
font - weight: 400;
font - size: 36 px;
font - family: 'Metric Regular', 'Metric';
text - align: center;
font - style: normal;
text - transform: uppercase;
}
path {
stroke: steelblue;
stroke - width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke - width: 2;
shape - rendering: crispEdges;
}
.grid.tick {
stroke: lightgrey;
stroke - opacity: 0.7;
shape - rendering: crispEdges;
}
.grid path {
stroke - width: 0;
}
</style>
</head>
<body>
<script>
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var z = d3.scale.category20c();
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S.%LZ");
var data = [{
"data": [
[
"2016-01-21T01:20:00.000Z",
1.41818181818182
],
[
"2016-01-21T02:28:00.000Z",
1.90661764705882
],
[
"2016-01-21T03:36:00.000Z",
1.66764705882353
],
[
"2016-01-21T04:44:00.000Z",
1.51691176470588
],
[
"2016-01-21T05:52:00.000Z",
1.40955882352941
],
[
"2016-01-21T07:00:00.000Z",
1.46323529411765
],
[
"2016-01-21T08:08:00.000Z",
1.48308823529412
],
[
"2016-01-21T09:16:00.000Z",
1.89384615384615
]
],
"label": "a"
}, {
"data": [
[
"2016-01-21T01:20:00.000Z",
4.98701298701299
],
[
"2016-01-21T02:28:00.000Z",
5.0
],
[
"2016-01-21T03:36:00.000Z",
4.94852941176471
],
[
"2016-01-21T04:44:00.000Z",
4.91176470588235
],
[
"2016-01-21T05:52:00.000Z",
4.81617647058824
],
[
"2016-01-21T07:00:00.000Z",
5.0
],
[
"2016-01-21T08:08:00.000Z",
4.94117647058824
],
[
"2016-01-21T09:16:00.000Z",
4.96969696969697
]
],
"label": "b"
}];
var x = d3.scale.ordinal().rangeRoundBands([0, width], .9);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x).tickSize(0)
.orient("bottom").innerTickSize(-height).outerTickSize(0)
.tickFormat(d3.time.format("%H:%M"));
var yAxis = d3.svg.axis()
.scale(y)
.orient("left").innerTickSize(-width).outerTickSize(0);
var ary = [];
data.forEach(function(d) {
ary.push(d.data);
});
x.domain(ary[0].map(function(d) {
return parseDate.parse(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
console.log(d.y0 + d.y); //This is NaN = Not a number
//return d.y0 + d.y;
return d[1]; //returns grid lines if that is what you want
})]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
var layer = svg.selectAll(".layer")
.data(data)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) {
return z(i);
});
layer.selectAll("rect")
.data(function(d) {
return d.data;
})
.enter().append("rect")
.attr("x", function(d, i, j) {
if (j === 0)
return x(parseDate.parse(d[0])) - x.rangeBand() / 2;
else
return x(parseDate.parse(d[0])) + x.rangeBand() / 2;
})
.attr("y", function(d) {
return height -y(d[1]); //Note this is returning data
})
.attr("height", function(d) {
return y(d[1]); //Note this is returning data
})
.attr("width", x.rangeBand() - 1);
</script>
</body>
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