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。
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。