Up until now we've just looked at bar charts. A handy chart, no doubt, but D3 offers a variety of charts you can work with. In this lesson we'll convert the bar chart into a basic scatter (or bubble) chart.

<!DOCTYPE html>
<html>
<head lang="en">
<meta charset="UTF-8">
<title></title>
<script src="../bower_components/underscore/underscore-min.js"></script>
<script src="../ventor/d3.min.js"></script>
<style type="text/css"> body
{
padding-top: 50px;
padding-left: 100px; } #chartArea {
width: 400px;
height: 300px;
background-color: #CCC;
} .bar
{
display: inline-block;
width: 20px;
height: 75px; /* Gets overriden by D3-assigned height below */
margin-right: 2px;
/* fill: teal; *//* SVG doesn't have background prop, use fill instead*/
z-index:99;
} .bubble {
display: inline-block;
fill: purple;
fill-opacity: 0.5;
stroke: black;
stroke-weight: 1px;
} </style>
</head>
<body>
<section id="chartArea"></section>
<script>
var dataset = _.map(_.range(30), function(num) {
return {
x: Math.random() * 100,
y: Math.random() * 100,
r: Math.random() * 30
} }), //reandom generate 15 data from 1 to 50
margin = {top: 0, bottom: 0, left: 0, right: 0},
w = 400 - margin.left - margin.right,
h = 300 -margin.top - margin.bottom; var svg = d3.select('#chartArea').append('svg')
.attr('width', w + margin.left + margin.right)
.attr('height', h + margin.top + margin.bottom)
.append('g') //The last step is to add a G element which is a graphics container in SBG.
.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')'); //Then offset that graphic element by our left and top margins. var yScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d.y; //tell the max function just need to care about y prop
})])
.range([h, 0]); var xScale = d3.scale.linear()
.domain([0, 100])
.range([0, w]); svg.selectAll('circle')
.data(dataset)
.enter()
.append('circle')// svg doesn't have div, use rect instead
.attr('class', "bubble")
.attr('cx', function(each_data, index){
return xScale(each_data.x);
})
.attr('cy', function(each_data){
return yScale(each_data.y);
})
.attr('r', function(each_data, i){
return each_data.r;
});
</script>
</body>
</html>

[D3] 9. Scatter Plot的更多相关文章

  1. [D3] Build a Scatter Plot with D3 v4

    Scatter plots, sometimes also known as bubble charts, are another common type of visualization. They ...

  2. Matplotlib学习---用matplotlib画散点图,气泡图(scatter plot, bubble chart)

    Matplotlib里有两种画散点图的方法,一种是用ax.plot画,一种是用ax.scatter画. 一. 用ax.plot画 ax.plot(x,y,marker="o",co ...

  3. [Python] Scatter Plot for daily return

    Sploe = 2: means that SPY move up 1, ABC move up 2 Correlation: how close those dots close to the li ...

  4. use matplotlib to draw scatter plot

    There are many pionts in this kind of table. How to do it? We can use scatter() to draw it. Code: im ...

  5. D3 JS study notes

    如何使用d3来解析自定义格式的数据源? var psv = d3.dsvFormat("|"); // This parser can parse pipe-delimited t ...

  6. d3基础图形模板笔记

    散点图(scatter plot): http://bl.ocks.org/weiglemc/6185069 雷达图(radar): http://xgfe.github.io/uploads/che ...

  7. matplotlib多plot可视化

    代码: # -*- coding: utf-8 -*- """ Created on Thu Jul 12 16:37:47 2018 @author: zhen &qu ...

  8. Python基础-画图:matplotlib.pyplot.scatter

    转载自博客:https://blog.csdn.net/qiu931110/article/details/68130199 matplotlib.pyplot.scatter 1.scatter函数 ...

  9. Python中scatter函数参数用法详解

    1.scatter函数原型 2.其中散点的形状参数marker如下: 3.其中颜色参数c如下: 4.基本的使用方法如下: #导入必要的模块 import numpy as np import matp ...

随机推荐

  1. 二分法查找(Binary Search)

    --摘要:二分法的介绍已经很多了,但并不直观,因此此文诞生,希望批评指正. 二分查找是在有序数组中查找一个元素的算法,通过比较目标元素与数组中间元素来查找,如果目标值是中间元素则将返回中间元素位置. ...

  2. 计算几何模板 (bzoj 1336,poj 2451 ,poj3968)

    poj 3968 (bzoj 2642) 二分+半平面交,每次不用排序,这是几个算几版综合. #include<iostream> #include<cstdio> #incl ...

  3. JQ模仿select

    <!doctype html> <html> <head> <meta charset="utf-8"> <title> ...

  4. poj1436 Horizontally Visible Segments

    这是一个区间更新的题目,先将区间放大两倍,至于为什么要放大可以这样解释,按照从左到右有4个区间,y值是[1,5],[1,2],[3,4],[1,4]如果不放大的话,查询[1,4]区间和前面区间的”可见 ...

  5. CycleScrollView实现轮播图

    // //  CycleScrollView.h //  PagedScrollView // //  Created by 李洪强 on 16-1-23. //  Copyright (c) 201 ...

  6. Android开源项目发现---ListView篇(持续更新)

    资料转载地址:https://github.com/Trinea/android-open-project 1. android-pulltorefresh 一个强大的拉动刷新开源项目,支持各种控件下 ...

  7. 深入了解View实现原理以及自定义View详解

    下面几篇文章对View的原理讲的非常详细. Android LayoutInflater原理分析,带你一步步深入了解View(一) Android视图绘制流程完全解析,带你一步步深入了解View(二) ...

  8. JMS的作用

    JMS就是生产者与消费者模式.消费者负责消费生产者产生的消息.通过JMS可以做后台的异步操作,应用到具体工作中的话,有用它来发内部消息的.发邮件的.发短信的,做大操作时在后台做异步操作的. Java ...

  9. 【转】Android源代码编译命令m/mm/mmm/make分析--不错

    原文网址:http://blog.csdn.net/luoshengyang/article/details/19023609 在前文中,我们分析了Android编译环境的初始化过程.Android编 ...

  10. NET Framework GAC目录构造

    转:http://www.yl1001.com/userzone.htm?doaction=article&art_id=5851381388387201 我们一般都知道,.NET Frame ...