如何修复图表，使x轴的比例由一组标签定义

js，我使用的是v3。我确信我的图表的问题出在x轴上。

我有这样的结构：

[
{date: "OCT 2020", close: 57370}
{date: "SEP 2020", close: 60100}
{date: "AGO 2020", close: 62530}
{date: "JUL 2020", close: 68840}
{date: "MAY 2020", close: 91470}
{date: "ABR 2020", close: 54130}
{date: "MAR 2020", close: 57960}
{date: "FEB 2020", close: 55720}
{date: "ENE 2020", close: 54360}
]

CCD_ 1轴将是键"1"；日期"；而y-axis将是close，我不知道如何定义x-axis，以便每个值都指示x轴的值将是一个标签。(在我的x轴上不会重复任何值，并且我的数据已排序(

<!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;
}

</style>
<body>

<!-- load the d3.js library --> 
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.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;


// 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) { console.log(x(d.date)); return x(d.date); })
.y(function(d) { console.log(y(d.close)); return y(d.close); }); 
// 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
let data=[
{date: "OCT 2020", close: 57370},
{date: "SEP 2020", close: 60100},
{date: "AGO 2020", close: 62530},
{date: "JUL 2020", close: 68840},
{date: "MAY 2020", close: 91470},
{date: "ABR 2020", close: 54130},
{date: "MAR 2020", close: 57960},
{date: "FEB 2020", close: 55720},
{date: "ENE 2020", close: 54360}
]
// 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 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>

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;
}

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>

我引用了这个例子：https://bl.ocks.org/d3noob/4414436

我该怎么修？

以下是工作代码：http://plnkr.co/edit/pdjNBWCYd91drndL?open=lib%2Fscript.js

这是使用D3v3，您可能希望升级D3版本并浏览D3docs，因为在最新的D3版本中有很多更改。

以下是您的数据的基本工作示例

<!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;
}

</style>
<body>

<!-- load the d3.js library --> 
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.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;


// Set the ranges
var x = d3.scale.ordinal().domain(["OCT 2020",
"SEP 2020",
"AGO 2020",
"JUL 2020",
"MAY 2020",
"ABR 2020",
"MAR 2020",
"FEB 2020",
"ENE 2020"])
.rangePoints([0, width]);
var y = d3.scale.linear().range([height, 0]);

// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(100);

var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(10);
// Define the line
var valueline = d3.svg.line()
.x(function(d) {  return x(d.date); })
.y(function(d) {  return y(d.close); }); 
// 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
let data=[
{date: "OCT 2020", close: 57370},
{date: "SEP 2020", close: 60100},
{date: "AGO 2020", close: 62530},
{date: "JUL 2020", close: 68840},
{date: "MAY 2020", close: 91470},
{date: "ABR 2020", close: 54130},
{date: "MAR 2020", close: 57960},
{date: "FEB 2020", close: 55720},
{date: "ENE 2020", close: 54360}
]
// 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 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>

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