我正在使用 d3.js 的 stacked-to-grouped bar graph 。我修改了示例的随机数据生成器。现在它无法正确读取我的 csv 文件。
最终图表将具有:
x 轴由日期确定
y 轴由小时*、周或月确定
*我的小时命名约定是“dnh”。
代码如下。感谢您的帮助!:
var data = [];
var dataByDay = [];
d3.csv('data/friday.csv', function(myData) {
// console.log(myData);
return {
date: myData.date,
dnh: +myData.dnh
};
}, function(myData) {
data = myData;
// console.log(myData[0]);
});
function doBarChart() {
var n = 4, // number of layers
m = 30, // number of samples per layer (m will be equal to my x values (time))
stack = d3.layout.stack(),
layers = stack(d3.range(n).map(function() {
return bumpLayer(m, .1);
})),
yGroupMax = d3.max(layers, function(layer) {
return d3.max(layer, function(d) {
return d.y;
});
}), // algorithm for grouped passing through y data values
yStackMax = d3.max(layers, function(layer) {
return d3.max(layer, function(d) {
return d.y0 + d.y;
});
}); // algorithm for stacked passing through y values
var margin = {
top: 40,
right: 10,
bottom: 20,
left: 10
}, // "canvas" setup
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal() // setup for the rangeBands / rangeBand (fitting values to the canvas width that we have)
.domain(d3.range(m))
.rangeRoundBands([0, width], .08); // check reference on rangeRound behavior
var y = d3.scale.linear() // nb: do not need to change to time scale. unix has already been converted & t = 0 - 29
.domain([0, yStackMax])
.range([height, 0]); // question: what is the 0 value? does it resituate stacks on x = 0?
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var xAxis = d3.svg.axis() // defines x-axis, situates it as the bottom (x) and not left (y)
.scale(x) // passing x values through ordinal scale
.tickSize(0)
.tickPadding(6)
.orient("bottom");
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 layer = svg.selectAll(".layer") // !!!! layers = ?
.data(layers) // layers passed through database
.enter().append("g") // adding graphic
.attr("class", "layer") // selectAll is being applied here
.style("fill", function(d, i) {
return color(i);
}); // clarify: i = index of data
var rect = layer.selectAll("rect") // rect = actual bars
.data(function(d) {
return d;
})
.enter().append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", height)
.attr("width", x.rangeBand())
.attr("height", 0);
// -------------------------------------------------------------------------------------- testing tooltip fx
// var tooltip = d3.select('body').append('div')
// .style('position','absolute')
// .style('padding', '0 10px')
// .style('background', 'white')
// .style('opacity', 0)
// ---------------------------------------------------------------------------------------------------------
rect.transition()
.delay(function(d, i) {
return i * 10;
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
});
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
d3.selectAll("input").on("change", change);
var timeout = setTimeout(function() {
d3.select("input[value=\"grouped\"]").property("checked", true).each(change);
}, 2000);
function change() {
clearTimeout(timeout);
if (this.value === "grouped") transitionGrouped();
else transitionStacked();
}
// ---------------------------------------------------------------------- transition fx : grouped + stacked
function transitionGrouped() {
y.domain([0, yGroupMax]);
rect.transition()
.duration(500)
.delay(function(d, i) {
return i * 10;
})
.attr("x", function(d, i, j) {
return x(d.x) + x.rangeBand() / n * j;
})
.attr("width", x.rangeBand() / n)
.transition()
.attr("y", function(d) {
return y(d.y);
})
.attr("height", function(d) {
return height - y(d.y);
});
}
function transitionStacked() {
y.domain([0, yStackMax]);
rect.transition()
.duration(500)
.delay(function(d, i) {
return i * 10;
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
})
.transition()
.attr("x", function(d) {
return x(d.x);
})
.attr("width", x.rangeBand());
}
// ---------------------------------------------------------------------------------------------------------
// ! testing : on mouseOver function for tooltip !
// tooltip.on('mouseover'), function(d){
// tooltip.transition()
// .style('opacity', .9)
//
// tooltip.html(d)
// .style('left', (d3.event.pageX) + 'px' )
// .style('top', (d3.event.pageY) + 'px')
// }
// ---------------------------------------------------------------------------------------------------------
function bumpLayer(n, o) {
console.log("print o");
var a = [],
i;
for (i = 0; i < n; ++i) a[i] = data[i].date; //o + o * Math.random();
// for (i = 0; i < 5; ++i){
// for (j = 0; j < n; ++j)
// a[j] = .25;
// }
// bump(a);
return a.map(function(d, i) {
return {
x: i,
y: Math.max(0, d)
};
});
}
}
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
margin: auto;
position: relative;
width: 960px;
}
text {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
form {
position: absolute;
right: 10px;
top: 10px;
}
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>hellotest</title>
<link rel="stylesheet" href="css/style.css">
<form>
<label>
<input type="radio" name="mode" value="grouped">Grouped</label>
<label>
<input type="radio" name="mode" value="stacked">Stacked</label>
</form>
</head>
<body>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<script src="js/testindex.js"></script>
</body>
</html>
最佳答案
d3.csv
是异步的。我看到您将 data
设为全局并将其关联到 myData
,但有时它下面的代码会在加载 CSV 之前运行。尝试在 d3.csv
函数外部使用 console.log(data)
来检查 data
是否已正确填充。如果没有,请将所有依赖于 myData
的函数放入 d3.csv
函数中。
关于javascript - D3.js 在堆叠到分组条形图示例中通过修改后的 Lee Byron 测试算法生成器传递 CSV,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/37239861/