d3.js x 轴日期范围

d3.js x axis date range

我的 csv 文件中有一些值,我在 y 轴上显示了值,x 轴上显示了日期。

对于第一张图,我有以下值

date,close
13-Jul-16,0.8736701869033555
15-Jul-16,0.3631761567983922
17-Jul-16,0.4795564555162078
19-Jul-16,0.3754827857186281
21-Jul-16,0.4355941951068847
23-Jul-16,0.34393804366457353
25-Jul-16,0.40967947088135176
27-Jul-16,0.2707818657230363
29-Jul-16,0.34430251610420176
31-Jul-16,0.28089496856221585

对于第二张图,我有以下值

 date,close
 11-Jul-16,0.766705419439816
 15-Jul-16,0.7353651170975812
 17-Jul-16,0.41531502169603063
 19-Jul-16,0.5927871032351933
 21-Jul-16,0.7986419920511857
 23-Jul-16,0.7904979990272231
 25-Jul-16,0.817690401573838
 27-Jul-16,0.8433545168648027
 29-Jul-16,0.8612307965742473
 31-Jul-16,0.806498303188971

但在第二张图中,x 轴不包含所有日期。作为示例,我将输出图 myoutput 的打印屏幕放在这里。

这是我的代码,它从 csv 文件中获取数据并将其可视化。

var selectedMonth=document.getElementById('selectedMonth').value; var selectedTopic=document.getElementById('selectedTopic').value;

var userFileDirectory="../documents/";

userFileDirectory=userFileDirectory+selectedMonth+"/"+selectedTopic+"/"+"dataCs.csv";



// 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;
// 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); });

// 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
d3.csv(userFileDirectory, function(error, data) {


    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 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);

    svg.append("text")
        .text("("+selectedMonth+" "+selectedTopic+")");


});

我会尝试使用 tickValues 显式设置刻度值: https://github.com/d3/d3-3.x-api-reference/blob/master/SVG-Axes.md#tickValues

ticks(5) 将建议 5 个刻度,但会根据比例尺的域进行调整。除了 tickValues(),您可以尝试让 ticks(d3.time.day, 2) 每 2 天有一个 tick。