直方图带有来自csv的值 [英] Histogram with values from csv

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本文介绍了直方图带有来自csv的值的处理方法,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

我试图创建一个简单的直方图,其值存储在csv中(我将在整个时间内进行修改)。

我现在使用的代码是:(编辑的代码!)

  var values = [] 

d3.csv('.. /static/CSV/Chart_data/histogram_sub.csv?rnd='+(new Date).getTime(),function(data){

values = Object.keys(data).map(function( k){return data [k] ['Calculus I']});

var color =steelblue;

//使用正态分布生成1000个数据点平均值= 20,偏差= 5

//计数格式化程序
var formatCount = d3.format(,。0f);

var margin = {top:20,right:30,bottom:30,left:30},
width = 800 - margin.left - margin.right,
height = 400 - margin.top - margin。底部;

var max = d3.max(values);
var min = d3.min(values);
var x = d3.scale.linear()
.domain([min,max])
.range([0,width]);

//使用二十个均匀间隔的单元生成直方图。
var data = d3.layout.histogram()
.bins(x.ticks(20))
(values);

var yMax = d3.max(data,function(d){return d.length});
var yMin = d3.min(data,function(d){return d.length});
var colorScale = d3.scale.linear()
.domain([yMin,yMax])
.range([d3.rgb(color).brighter(),d3.rgb(色).darker()]);

var y = d3.scale.linear()
.domain([0,yMax])
.range([height,0]);

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

var svg = d3.select(#Histogram2)。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 +));

var bar = svg.selectAll(.bar)
.data(data)
.enter()。append(g)
.attr (class,bar)
.attr(transform,function(d){returntranslate(+ x(dx)+,+ y(dy)+);} );

bar.append(rect)
.attr(x,1)
.attr(width,(x(data [0] .dx)函数(d){返回高度 - y(dy);})
.attr(fill,function(d) {return colorScale(dy)});

bar.append(text)
.attr(dy,.75em)
.attr(y,-12)
.attr(x,(x(data [0] .dx) - x(0))/ 2)
.attr(text-anchor,middle)
.text函数(d){return formatCount(dy);});

svg.append(g)
.attr(class,x axis)
.attr(transform,translate(0,+高度+))
.call(xAxis);
});

我的csv文件如下所示:

 微积分I 
5.0
5.1
5.7
...

我发现我认为引用data [0]的错误:

未捕获TypeError:无法读取属性'dx'未定义



任何帮助?提前感谢!

解决方案

这是一个使用 d3.csv 的plunkr和从文件中提取数据:



http ://plnkr.co/edit/2xCvrwiXWzrS6gtbmIU7?p =预览



请通过 docs for d3.csv


使用相同的,这里是对代码的相关修改: li>在内容中添加一个新文件 test.csv

  • 使用 d3.csv

      d3.csv(test.csv,parse,function(error ,data){
    console.log(data);
    });


  • 您看到的 parse 上面是一个访问函数,它接收来自csv的每一行,并使用它来分析整数值。

      function parse(row){
    row ['Calculus I'] = + row ['Calculus I'];
    返回行;
    }


  • 而且假设为整数数组,我使用 map

      values = data.map (函数(d){return d ['Calculus I'];}); 


  • 希望这有帮助。

    I am trying to create a simple histogram with values stored in a csv (that I will be modifying through the time).

    The code I am using now is: (edited code!)

                   var values = []
    
                    d3.csv('../static/CSV/Chart_data/histogram_sub.csv?rnd='+(new Date).getTime(),function(data){
    
                        values = Object.keys(data).map(function(k){ return data[k]['Calculus I']});
    
                        var color = "steelblue";
    
                        // Generate a 1000 data points using normal distribution with mean=20, deviation=5
    
                        // A formatter for counts.
                        var formatCount = d3.format(",.0f");
    
                        var margin = {top: 20, right: 30, bottom: 30, left: 30},
                            width = 800 - margin.left - margin.right,
                            height = 400 - margin.top - margin.bottom;
    
                        var max = d3.max(values);
                        var min = d3.min(values);
                        var x = d3.scale.linear()
                              .domain([min, max])
                              .range([0, width]);
    
                        // Generate a histogram using twenty uniformly-spaced bins.
                        var data = d3.layout.histogram()
                            .bins(x.ticks(20))
                            (values);
    
                        var yMax = d3.max(data, function(d){return d.length});
                        var yMin = d3.min(data, function(d){return d.length});
                        var colorScale = d3.scale.linear()
                                    .domain([yMin, yMax])
                                    .range([d3.rgb(color).brighter(), d3.rgb(color).darker()]);
    
                        var y = d3.scale.linear()
                            .domain([0, yMax])
                            .range([height, 0]);
    
                        var xAxis = d3.svg.axis()
                            .scale(x)
                            .orient("bottom");
    
                        var svg = d3.select("#Histogram2").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 + ")");
    
                        var bar = svg.selectAll(".bar")
                            .data(data)
                          .enter().append("g")
                            .attr("class", "bar")
                            .attr("transform", function(d) { return "translate(" + x(d.x) + "," + y(d.y) + ")"; });
    
                        bar.append("rect")
                            .attr("x", 1)
                            .attr("width", (x(data[0].dx) - x(0)) - 1)
                            .attr("height", function(d) { return height - y(d.y); })
                            .attr("fill", function(d) { return colorScale(d.y) });
    
                        bar.append("text")
                            .attr("dy", ".75em")
                            .attr("y", -12)
                            .attr("x", (x(data[0].dx) - x(0)) / 2)
                            .attr("text-anchor", "middle")
                            .text(function(d) { return formatCount(d.y); });
    
                        svg.append("g")
                            .attr("class", "x axis")
                            .attr("transform", "translate(0," + height + ")")
                            .call(xAxis);
                    });
    

    And my csv file looks like this:

    Calculus I
    5.0
    5.1
    5.7
    ...
    

    And I am getting errors that I think refer to data[0]:

    Uncaught TypeError: Cannot read property 'dx' of undefined

    Any help? Thanks in advance!

    解决方案

    Here's a plunkr using d3.csv and fetching data from the file:

    http://plnkr.co/edit/2xCvrwiXWzrS6gtbmIU7?p=preview

    And please go through the docs for d3.csv

    Using the same, here are the relevant changes to the code:

    1. Added a new file test.csv with the content.
    2. Fetched the file using d3.csv:

      d3.csv("test.csv", parse, function(error, data) { 
         console.log(data);
      });
      

    3. The parse that you see above is a accessor function that receives every row from the csv and I'm using it to parse the integer value.

      function parse(row) {
        row['Calculus I'] = +row['Calculus I'];
        return row;
      }
      

    4. And as you were assuming values to be array of integers, I'm mapping the fetched data in the same format as desired using map

      values = data.map(function(d) { return d['Calculus I']; });
      

    Hope this helps.

    这篇关于直方图带有来自csv的值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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