d3,对于每个选择使用不同的X刻度和Y刻度域 [英] d3 using a different X scale and Y scale domain for each selection

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本文介绍了d3,对于每个选择使用不同的X刻度和Y刻度域的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

这里是jsfiddle的项目: http://jsfiddle.net/mLnB3/



我有以下格式的数据:

  var data = [
{
category:Category1,
subcategories:[
{
subcategory:Subcategory1A,
comments:[
{
comment:1Acomment1,
count:8,
},
{
comment:1Acomment2
count:7
}
]
},
{
subcategory:Subcategory1B,
comments [
{
comment:1Bcomment1,
count:11,
}
]
},
{
subcategory:Subcategory1C,
comments:[
{
comment:1Ccomment1,
count:2,
}
]
}
]
},
{
category:Category2,
subcategories:[
{
subcategory:Subcategory2A,
comments:[
{
comment:2Acomment1,
count 6,
},
{
comment:2Acomment2,
count:9,
},
{
comment:2Acomment3,
count:9,
},
{
comment:2Acomment4,
count:9 ,
}
]
},
{
subcategory:Subcategory2B,
comments:[
{
comment:2Bcomment1,
count:14
}
]
}
]
}



];



我想为每个类别创建一个条形图。因此,类别1将是条形图,类别2将是条形图,等等(还有更多类别)。每个类别具有不同数量的子类别,每个子类别具有不同数量的注释(范围从1到30)。在每个条形图中,注释将填充X轴。所以对于每个图表我需要产生这样的:

 < svg id =Category1> 
< g>
< g class =xAxis> ...< / g>
< g class =yAxis> ...< / g>
< g class =subcategoryid =Subcategory1A>
< g class =commentid =1Acomment1>
< rect height =8>< / rect>
< text> 8< / text>
< / g>
< g class =commentid =1Acomment2>
< rect height =7>< / rect>
< text> 7< / text>
< / g>
< / g>
< g class =subcategoryid =Subcategory1B>
< g class =commentid =1Bcomment1>
< rect height =11>< / rect>
< text> 11< / text>
< / g>
< / g>
< g class =subcategoryid =Subcategory1C>
< g class =commentid =1Ccomment1>
< rect height =2>< / rect>
< text> 2< / text>
< / g>
< / g>
< / g>
< / svg>
< svg id =Category2>
...
< / svg>

我使用d3.select(body)。selectAll(svg)。data (data).enter()。append(svg)....来创建它们。



我的问题是, xAxis ticks的数量我不知道如何为每个图表的xAxis设置ordinal scale的域。与yAxis的线性标度相同的问题,因为我通常为那个[0,d3.max(...)],但是对于每个条形图也是不同的。



这是我到目前为止:

  var margin = {top:20,right: bottom:20,left:20},
width = 400 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;

var xScale = d3.scale.ordinal()
//。domain(??? help ???)
.rangeRoundBands([0,width],.3 );

var yScale = d3.scale.linear()
//。domain(??? help ???)
.range([height,0]);

var xAxis = d3.svg.axis()
.scale(xScale)
.orient(bottom);

var yAxis = d3.svg.axis()
.scale(yScale)
.orient(left)
.ticks(5);

var svg = d3.select(body)。selectAll(svg)
.data(data)
.enter()
.append svg)
.attr(width,width + margin.left + margin.right)
.attr(height,height + margin.top + margin.bottom)
.attr(id,function(d){return d.category})
.append(g)
.attr(transform,translate(+ margin.left + ,+ margin.top +));

svg.append(g)
.attr(class,x axis)
.attr(transform height +))
.call(xAxis)
.selectAll(text)
.style(text-anchor,end)
.attr transform,function(d){
returnrotate(-25)
});

svg.append(g)
.attr(class,y axis)
.call(yAxis);

var subcategory = svg.selectAll(。subcategory)
.data(function(d){return d3.values(d.subcategories);})
.enter ()
.append(g)
.attr(class,subcategory)
.attr(id,function(d){return d.subcategory;} );

var comment = subcategory.selectAll(。comment)
.data(function(d){return d3.values(d.comments);})
.enter ()
.append(g)
.attr(class,comment)
.attr(id,function(d){return d.comment;} );

comment.append(rect)
.attr(height,function(d){
return height - yScale(d.count);
}
.attr(width,xScale.rangeBand()/ 2)
.attr(y,function(d){
return yScale(d.count);
});

comment.append(text)
.text(function(d){
return d.count;
})
.attr x,xScale.rangeBand()/ 2)
.attr(y,function(d){
return yScale(d.count) - 5;
})
.attr(text-anchor,middle)
.attr(fill,#353535)
.attr(font-weight,bold);

这当然会使轴和宽度,高度,x和y属性矩形和文本元素都疯了。这是一个基本的条形图模板,我使用了几次,总是工作正常,当我只有1个xscale域和1个yscale域。



那么如何设置xScale域吗?和yScale域?如何从类别中获取每个注释,并说这些将是此图表的xScale?记住,一些图表将有30条评论,一些将有7条评论,一些将有最大注释计数200,一些将有最大注释计数2.他们是每个图表的变量。因此,如果我使用d3为数据数组中的每个类别创建一个SVG元素,我该如何解决这个问题?

解决方案

对于每个类别图表,xScale和yScale将有所不同,因为它们具有不同的域(在y量表的情况下为最大值)。因此,我建议您在每次调用中创建单独的 小提示

  d3.select(body)。selectAll(svg)
.data(data)
.enter()
.append(svg)
.attr(width,width + margin.left + margin.right)
.attr + margin.top + margin.bottom)
.attr(id,function(d){return d.category})
.append(g)
.attr transform(+ margin.left +,+ margin.top +))
.each(function(d,i){
var svg = d3.select );
var allComments = d.subcategories.reduce(function(prev,curr,i,array){
return prev.concat(curr.comments);
},[]);
var xDomain = allComments.reduce(function(prev,curr,i,array){
prev.push(curr.comment);
return prev;
} );
var yMax = d3.max(allComments,function(comment){
return comment.count;
})

var xScale = d3.scale.ordinal()
.domain(xDomain)
.rangeRoundBands([0,width],.3);

var yScale = d3.scale.linear()
.domain([0,yMax + 2])//给定ticks特定的填充
.range([height,0 ]);

var xAxis = d3.svg.axis()
.scale(xScale)
.orient(bottom);

var yAxis = d3.svg.axis()
.scale(yScale)
.orient(left)
.ticks(5);


svg.append(g)
.attr(class,x axis)
.attr(transform,translate 0,+ height +))
.call(xAxis)
.selectAll(text)
.style(text-anchor,end)
.attr(transform,function(d){
returnrotate(-25)
});
....


Here is the project on jsfiddle: http://jsfiddle.net/mLnB3/

I have data that is in this format:

var data = [
{
    "category": "Category1",
    "subcategories": [
        {
            "subcategory": "Subcategory1A",
            "comments": [
                {
                    "comment" : "1Acomment1",
                    "count": 8,
                },
                {
                    "comment": "1Acomment2",
                    "count": 7
                }
            ]
        },
        {
            "subcategory": "Subcategory1B",
            "comments": [
                {
                    "comment": "1Bcomment1",
                    "count": 11,
                }
            ]
        },
        {
            "subcategory": "Subcategory1C",
            "comments": [
                {
                    "comment": "1Ccomment1",
                    "count": 2,
                }
            ]
        }
    ]
},
{
    "category": "Category2",
    "subcategories": [
        {
            "subcategory": "Subcategory2A",
            "comments": [
                {
                    "comment": "2Acomment1",
                    "count": 6,
                },
                {
                    "comment": "2Acomment2",
                    "count": 9,
                },
                {
                    "comment": "2Acomment3",
                    "count": 9,
                },
                {
                    "comment": "2Acomment4",
                    "count": 9,
                }
            ]
        },
        {
            "subcategory": "Subcategory2B",
            "comments": [
                {
                    "comment": "2Bcomment1",
                    "count": 14
                }
            ]
        }
     ]
}

];

I want to create a bar chart for each category. So Category 1 will be a bar chart, Category 2 will be a bar chart, and so on (there are many more categories). Each category has a different number of subcategories and each subcategory has a different number of comments (ranging from 1 - 30). In each bar chart, the comments will be populating the X axis. So for each chart I need to produce something like this:

<svg id="Category1">
  <g>
    <g class="xAxis">...</g>
    <g class="yAxis">...</g>  
    <g class="subcategory" id="Subcategory1A">
      <g class="comment" id="1Acomment1">
        <rect height="8"></rect>
        <text>8</text>
      </g>
      <g class="comment" id="1Acomment2">
        <rect height="7"></rect>
        <text>7</text>
      </g>
    </g>
    <g class="subcategory" id="Subcategory1B">
      <g class="comment" id="1Bcomment1">
        <rect height="11"></rect>
        <text>11</text>
      </g>
    </g>
    <g class="subcategory" id="Subcategory1C">
      <g class="comment" id="1Ccomment1">
        <rect height="2"></rect>
        <text>2</text>
      </g>
    </g>
  </g> 
</svg>
<svg id="Category2">
...
</svg>

I'm using d3.select("body").selectAll("svg").data(data).enter().append("svg").... to create them all.

My problem is that since each different chart will have a different number of xAxis ticks I have no idea how to set the domain for the ordinal scale for each chart's xAxis. Same problem with the linear scale for the yAxis because I normally do [0, d3.max(...)] for that one, but that will be different for each bar chart as well.

This is what I have so far:

var margin = {top: 20, right: 20, bottom: 20, left: 20},
    width = 400 - margin.left - margin.right,
    height = 300 - margin.top - margin.bottom;

var xScale = d3.scale.ordinal()
    //.domain(???help???)
    .rangeRoundBands([0, width], .3);

var yScale = d3.scale.linear()
    //.domain(???help???)
    .range([height, 0]);

var xAxis = d3.svg.axis()
    .scale(xScale)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(yScale)
    .orient("left")
    .ticks(5);

var svg = d3.select("body").selectAll("svg")
    .data(data)
    .enter()
    .append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
    .attr("id", function(d){return d.category})
    .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

svg.append("g")
    .attr("class", "x axis")
    .attr("transform", "translate(0," + height + ")")
    .call(xAxis)
    .selectAll("text")  
        .style("text-anchor", "end")
        .attr("transform", function(d) {
            return "rotate(-25)" 
        });

svg.append("g")
    .attr("class", "y axis")
    .call(yAxis);

var subcategory = svg.selectAll(".subcategory")
    .data(function(d){ return d3.values(d.subcategories);})
    .enter()
    .append("g")
    .attr("class", "subcategory")
    .attr("id", function(d){return d.subcategory;});

var comment = subcategory.selectAll(".comment")
    .data(function(d){return d3.values(d.comments);})
    .enter()
    .append("g")
    .attr("class", "comment")
    .attr("id", function(d){return d.comment;});

comment.append("rect")
    .attr("height", function(d){
      return height - yScale(d.count);
    })
    .attr("width", xScale.rangeBand()/2)
    .attr("y", function(d){
      return yScale(d.count);
    });

comment.append("text")
    .text(function(d){ 
        return d.count; 
    })
    .attr("x", xScale.rangeBand() / 2)
    .attr("y", function(d){ 
        return yScale(d.count) - 5;
    })
    .attr("text-anchor", "middle")
    .attr("fill", "#353535")
    .attr("font-weight", "bold");

This, of course, makes the axes and the width, height, x, and y attributes on the rectangle and text elements go all crazy. This is following a basic bar chart template that I've used several times and always works fine when I only have 1 xscale domain and 1 yscale domain.

So how do I set the xScale domain? And yScale domain? How do I grab each comment out of a Category and say "these will be the xScale for this chart"? Remember, some of the charts will have 30 comments, some will have 7 comments, some will have a max comment count of 200 some will have a max comment count of 2. They are variable for each chart. So if I'm using d3 to create an SVG element for each category in the data array, how do I solve this?

解决方案

The xScale and yScale is going to vary for each category chart, because they have different domains (max value in the case of the y scale). Therefore I'd recommend you create separate ones within an each call as in this fiddle

d3.select("body").selectAll("svg")
    .data(data)
    .enter()
    .append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
    .attr("id", function(d){return d.category})
    .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
    .each(function(d, i){
        var svg = d3.select(this); 
        var allComments = d.subcategories.reduce(function(prev, curr, i, array){
             return prev.concat(curr.comments);
        }, []);
        var xDomain = allComments.reduce(function(prev, curr, i, array){
            prev.push(curr.comment);
            return prev;
        }, []);
        var yMax = d3.max(allComments, function(comment) {
          return comment.count;  
        })

        var xScale = d3.scale.ordinal()
            .domain(xDomain)
            .rangeRoundBands([0, width], .3);

        var yScale = d3.scale.linear()
            .domain([0, yMax + 2]) // giving ticks specific padding
            .range([height, 0]);

        var xAxis = d3.svg.axis()
        .scale(xScale)
        .orient("bottom");

        var yAxis = d3.svg.axis()
        .scale(yScale)
        .orient("left")
        .ticks(5);   


        svg.append("g")
            .attr("class", "x axis")
            .attr("transform", "translate(0," + height + ")")
            .call(xAxis)
            .selectAll("text")  
                .style("text-anchor", "end")
                .attr("transform", function(d) {
                    return "rotate(-25)" 
                });
....

这篇关于d3,对于每个选择使用不同的X刻度和Y刻度域的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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