d3js图形代码,以不同的顺序显示不同数据的y轴

时间:2012-11-25 18:47:29

标签: javascript canvas graph svg d3.js

这是我的d3js代码

function ShowGraph(data) {
d3.selectAll('.axis').remove();
var vis = d3.select("#visualisation"),
    WIDTH = 500,
    HEIGHT = 500,
    MARGINS = {
        top: 20,
        right: 20,
        bottom: 20,
        left: 30
    },
    xRange = d3.scale.linear().range([MARGINS.left, WIDTH - MARGINS.right]).domain([d3.min(data, function (d) {
        return d.year;
    }),
    d3.max(data, function (d) {
        return d.year;
    })]),
    yRange = d3.scale.linear().range([HEIGHT - MARGINS.top, MARGINS.bottom]).domain([d3.min(data, function (d) {
        return d.count;
    }),
    d3.max(data, function (d) {
        return d.count;
    })]),
    xAxis = d3.svg.axis() // generate an axis
    .scale(xRange) // set the range of the axis
    .tickSize(5) // height of the ticks
    .tickSubdivide(true), // display ticks between text labels
    yAxis = d3.svg.axis() // generate an axis
    .scale(yRange) // set the range of the axis
    .tickSize(5) // width of the ticks
    .orient("left") // have the text labels on the left hand side
    .tickSubdivide(true); // display ticks between text labels
var transition = vis.transition().duration(1000).ease("exp-in-out");

transition.select(".x.axis").call(xAxis);
transition.select(".y.axis").call(yAxis);




vis.append("svg:g") // add a container for the axis
.attr("class", "x axis") // add some classes so we can style it
.attr("transform", "translate(0," + (HEIGHT - MARGINS.bottom) + ")") // move it into position
.call(xAxis); // finally, add the axis to the visualisation

vis.append("svg:g")
    .attr("class", "y axis")
    .attr("transform", "translate(" + (MARGINS.left) + ",0)")
    .call(yAxis);


var circles = vis.selectAll("circle").data(data)
circles.enter()
    .append("svg:circle")
    .attr("cx", function (d) {
    return xRange(d.year);
})
    .attr("cy", function (d) {
    return yRange(d.count);
})
    .style("fill", "red")

circles.transition().duration(1000)
    .attr("cx", function (d) {
    return xRange(d.year);
})
    .attr("cy", function (d) {
    return yRange(d.count);
})
    .attr("r", 10)

circles.exit()
    .transition().duration(1000)
    .attr("r", 10)
    .remove();

}

使用的数据是

   [{"count": "202", "year": "1590"},
 {"count": "215", "year": "1592"},
 {"count": "179", "year": "1593"},
 {"count": "199", "year": "1594"},
 {"count": "134", "year": "1595"},
 {"count": "176", "year": "1596"},
 {"count": "172", "year": "1597"},
 {"count": "161", "year": "1598"},
 {"count": "199", "year": "1599"},
 {"count": "181", "year": "1600"},
 {"count": "157", "year": "1602"},
 {"count": "179", "year": "1603"},
 {"count": "150", "year": "1606"},
 {"count": "187", "year": "1607"},
 {"count": "133", "year": "1608"},
 {"count": "190", "year": "1609"},
 {"count": "175", "year": "1610"},
 {"count": "91", "year": "1611"},
 {"count": "150", "year": "1612"}
]

图表的y轴如下所示(按从上到下的顺序) enter image description here

使用的数据是

    [{"count": "841", "year": "1590"},
 {"count": "848", "year": "1592"},
 {"count": "579", "year": "1593"},
 {"count": "753", "year": "1594"},
 {"count": "612", "year": "1595"},
 {"count": "740", "year": "1596"},
 {"count": "762", "year": "1597"},
 {"count": "894", "year": "1598"},
 {"count": "937", "year": "1599"},
 {"count": "995", "year": "1600"},
 {"count": "715", "year": "1602"},
 {"count": "786", "year": "1603"},
 {"count": "680", "year": "1606"},
 {"count": "942", "year": "1607"},
 {"count": "525", "year": "1608"},
 {"count": "779", "year": "1609"},
 {"count": "717", "year": "1610"},
 {"count": "421", "year": "1611"},
 {"count": "738", "year": "1612"}
]

图表的y轴如下所示(按从下到上的顺序排列) enter image description here

任何人都可以指出我可能是什么原因以及如何纠正这种行为。 的 更新

另一个测试数据样本

[{"count": "357", "year": "1608"},
            {"count": "375", "year": "1611"},
            {"count": "506", "year": "1606"},
            {"count": "535", "year": "1610"},
            {"count": "551", "year": "1612"},
            {"count": "660", "year": "1597"},
            {"count": "679", "year": "1594"},
            {"count": "689", "year": "1598"},
            {"count": "873", "year": "1595"},
            {"count": "891", "year": "1592"},
            {"count": "990", "year": "1607"},
            {"count": "1031", "year": "1593"},
            {"count": "1038", "year": "1602"},
            {"count": "1064", "year": "1609"},
            {"count": "1264", "year": "1600"},
            {"count": "1357", "year": "1596"},
            {"count": "1616", "year": "1590"},
            {"count": "2299", "year": "1599"},
            {"count": "2559", "year": "1603"}]

1 个答案:

答案 0 :(得分:2)

如果您在渲染第一组数据时发现, y轴看起来不太合适。根据数据,分count91,最大为215,但 y轴最多为130

这是因为在构建比例并计算最小值和最大值时,会将值作为字符串进行比较。

要修复它,您需要修改数据数组以在需要的地方使用数值

[{ "count": 202, "year": 1590},
 { "count": 215, "year": 1592} /*....*/]

或者在构建比例时将它们解析为parseInt的整数 - 并且不要忘记将基数传递给parseInt

如果选择后者,只需将您的比例修改为:

        /*....*/},
        xRange = d3.scale
                   .linear()
                   .domain([
                      d3.min(data, function(d){ return parseInt(d.year, 10);}),
                      d3.max(data, function(d){ return parseInt(d.year, 10);})
                    ])
                   .range([MARGINS.left, WIDTH - MARGINS.right]),
        yRange = d3.scale
                   .linear()
                   .domain([
                      d3.min(data, function(d){ return parseInt(d.count, 10);}),
                      d3.max(data, function(d){ return parseInt(d.count, 10);})
                    ])
                   .range([HEIGHT - MARGINS.top, MARGINS.bottom]),

这是JSFiddle:http://jsfiddle.net/jaimem/RPGPL/2/