Js line Chart,我能够绘制图表。虽然我正在使用json数据:
错误:无法读取属性'长度' of null(...)
我的功能就像。我在解析数据时遇到错误。我正确地获得了json响应,但我可以绘制图表。谁能告诉我我在做什么问题?
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答案 0 :(得分:0)
根据您的问题,代码通过注释掉JSON.parse函数调用和两个尾随花括号来运行。数据变量已经是一个对象数组,因此不需要对其进行反序列化(从字符串类型)。除此之外,我无法重现你得到的错误。请查看下面的代码段。
var margin = {
top: 30,
right: 20,
bottom: 30,
left: 50
},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(20);
// Define the line
var valueline = d3.svg.line()
.x(function(d) {
return x(d.dategraph);
})
.y(function(d) {
return y(d.assetcount);
});
// Adds the svg canvas
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 data = [{
"dategraph": "16-Nov-16",
"assetcount": 299
}, {
"dategraph": "19-Nov-16",
"assetcount": 0
}, {
"dategraph": "08-Nov-16",
"assetcount": 18
}, {
"dategraph": "14-Nov-16",
"assetcount": 10
}, {
"dategraph": "17-Nov-16",
"assetcount": 2
}, {
"dategraph": "18-Nov-16",
"assetcount": 0
}];
//var data = JSON.parse(dataset);
data.forEach(function(d) {
d.Letter = parseDate(d.dategraph);
d.Freq = +d.assetcount;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) {
return d.Letter;
}));
y.domain([0, d3.max(data, function(d) {
return d.Freq;
})]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);

<script src="https://d3js.org/d3.v3.min.js"></script>
&#13;
答案 1 :(得分:0)
带工具提示的工作示例
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
body { font: 12px Arial;}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
div.tip {
position: absolute;
text-align: center;
width: auto;
height: auto;
padding: 2px;
font: 12px sans-serif;
background: black;
border: 0px;
border-radius: 8px;
pointer-events: none;
color:white;
border-radius: 8px 8px 8px 8px;
}
</style>
<body>
<!-- load the d3.js library -->
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 30, left: 50},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%d-%b-%y").parse;
var formatTime = d3.time.format("%e %B");
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
// Define the line
var valueline = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.close); });
// Define the div for the tooltip
var div = d3.select("body").append("div")
.attr("class", "tip")
.style("opacity", 0);
// Adds the svg canvas
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 + ")");
// Get the data
var data = [
{"date":"08-Nov-16","close":299},
{"date":"09-Nov-16","close":10},
{"date":"10-Nov-16","close":18},
{"date":"11-Nov-16","close":10},
{"date":"12-Nov-16","close":2},
{"date":"13-Nov-16","close":50}];
data.forEach(function(d) {
d.date = parseDate(d.date);
d.close = +d.close;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.close; })]);
// Add the valueline path.
svg.append("path")
.attr("class", "line")
.attr("d", valueline(data));
// Add the scatterplot
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("r", 5)
.attr("cx", function(d) { return x(d.date); })
.attr("cy", function(d) { return y(d.close); })
.on("mouseover", function(d) {
div.transition()
.duration(200)
.style("opacity", .9);
div .html(formatTime(d.date) + "<br/>" + d.close)
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
div.transition()
.duration(500)
.style("opacity", 0);
});
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
</script>
</body>