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Scatter plots, sometimes also known as bubble charts, are another common type of visualization. They’re extremely versatile thanks to their ability to display multiple dimensions of data simultaneously using x and y position, opacity, color, and even…
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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…
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var line_generator= d3.svg.line() .x(function (d,i) { return i; }) .y(function (d) { return d; }) 错误:TypeError: d3.svg.line is not a function 原因: 你使用D3 v4 .从版本4开始,没有 d3.svg ,因此出现错误消息.您要查找的行生成器现在定义为d3.line(). 如果您仍在使用版本3,则会是 d3.svg.line(). 解决方法: var li…
前文中已经提到,SVG从诞生之初起就可以非常方便地使用javascript脚本语言来进行其DOM对象的控制.当然,控制的方法有很多,有直接控制SVG对象的方法,例如使用原生js:有帮你封装一下图形接口再进行直接控制的js类库,如 Raphaël.但是正如我在第一篇文章中所说,d3作为一个中间型类库还能脱颖而出的重要原因,在于它突破了其他类库的那种直接控制表现层的机制,而采用了对于web图形处理领域较为新颖的数据驱动机制(2011),并获得了极大的成功. 数据驱动的历史 数据驱动编程并不是一个新鲜…
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",color="black") 二. 用ax.scatter画 ax.scatter(x,y,marker="o",s=sizes,c=colors) ax.plot和ax.scatter的区别: ax.plot:各散点彼此复制,因此整个数据集中所有的点只需配置一次颜色和大小…