直方图带有来自csv的值 [英] Histogram with values from csv
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!
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 使用 您看到的 而且假设 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!) And my csv file looks like this: 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! Here's a plunkr using http://plnkr.co/edit/2xCvrwiXWzrS6gtbmIU7?p=preview And please go through the docs for Using the same, here are the relevant changes to the code: Fetched the file using The And as you were assuming 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! d3.csv $ c $
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
。
d3.csv
:
d3.csv(test.csv,parse,function(error ,data){
console.log(data);
});
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;
}
值
为整数数组,我使用 map
values = data.map (函数(d){return d ['Calculus I'];});
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);
});
Calculus I
5.0
5.1
5.7
...
d3.csv
and fetching data from the file:d3.csv
test.csv
with the content.d3.csv
: d3.csv("test.csv", parse, function(error, data) {
console.log(data);
});
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;
}
values
to be array of integers, I'm mapping the fetched data in the same format as desired using mapvalues = data.map(function(d) { return d['Calculus I']; });