canvas :曲线的面积图 加渐变效果
document.body.innerHTML = '<canvas></canvas>'
var cvs = document.querySelector("canvas")
cvs.style.border = "1px solid red"
var ctx = cvs.getContext("2d"); var x0,y0;
for(var i=0;i<300;i++){
var x = i,y=Math.sin(x/10)*10+50;
ctx.strokeStyle="rgba(0,255,0,1)";
ctx.beginPath();
ctx.moveTo(x0||x,y0||y);
ctx.lineTo(x,y);
//ctx.stroke(); x0 = x,y0=y; var linear = ctx.createLinearGradient(x,y,x,y+100);
linear.addColorStop(0,"rgba(0,255,0,0.6)");
linear.addColorStop(1,"rgba(255,255,255,0)");
ctx.strokeStyle= linear; ctx.beginPath();
ctx.moveTo(x,y);
ctx.lineTo(x,y+100);
ctx.stroke(); var linear = ctx.createLinearGradient(x,y+50,x,y+120);
linear.addColorStop(0,"rgba(255,0,0,0.6)");
linear.addColorStop(1,"rgba(255,255,255,0)");
ctx.strokeStyle= linear; ctx.beginPath();
ctx.moveTo(x,y+50);
ctx.lineTo(x,y+120);
ctx.stroke();
}
aaarticlea/png;base64,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" alt="" />
canvas :曲线的面积图 加渐变效果的更多相关文章
- javascript曲线图和面积图Line & Area chart控件功能及下载
Line & Area chart 控件是一款新型的.可用性极强的曲线图和面积图产品.一个您网站的访问者可以放大他感兴趣的一段区域,打开和关闭数值气球,并可显示和隐藏图表.您能创建简单.堆积. ...
- Python使用Plotly绘图工具,绘制面积图
今天我们来讲一下如何使用Python使用Plotly绘图工具,绘制面积图 绘制面积图与绘制散点图和折线图的画法类似,使用plotly graph_objs 中的Scatter函数,不同之处在于面积图对 ...
- canvas学习之折线图
接着上一张柱状图讲,我们是使用折线图: import {canvasPoint} from '../../assets/js/canvas';import {basicInfo,histogramMo ...
- 封装构造函数,用canvas写饼状图和柱状图
封装构造函数,用canvas写饼状图和柱状图 封装函数 // 场景 function XDLScence( options ) { this.stage = options.stage; //执行场景 ...
- pyecharts v1 版本 学习笔记 折线图,面积图
折线图 折线图 基本demo import pyecharts.options as opts from pyecharts.charts import Line c = ( Line() .add_ ...
- 数据可视化实例(十四):面积图 (matplotlib,pandas)
偏差 (Deviation) 面积图 (Area Chart) 通过对轴和线之间的区域进行着色,面积图不仅强调峰和谷,而且还强调高点和低点的持续时间. 高点持续时间越长,线下面积越大. https:/ ...
- 第四篇:R语言数据可视化之折线图、堆积图、堆积面积图
折线图简介 折线图通常用来对两个连续变量的依存关系进行可视化,其中横轴很多时候是时间轴. 但横轴也不一定是连续型变量,可以是有序的离散型变量. 绘制基本折线图 本例选用如下测试数据集: 绘制方法是首先 ...
- dev控件chart简单实现多图例,双曲线,双柱图,曲线与柱图
1.效果图 2.数据源代码: ; i < ; i++) { == ) { dt1.Rows.Add( * i); dt2.Rows.Add( * i+); } else { dt1.Rows.A ...
- canvas图表(2) - 折线图
原文地址:canvas图表(2) - 折线图 话说这天气一冷啊, 就患懒癌, 就不想码代码, 就想着在床上舒舒服服看视频. 那顺便就看blender视频, 学习下3D建模, 如果学会了建3D模型, 那 ...
随机推荐
- ios项目里扒出来的json文件
p.p1 { margin: 0.0px 0.0px 0.0px 0.0px; font: 13.0px Menlo; color: #000000 } p.p2 { margin: 0.0px 0. ...
- October 27th Week 44th Thursday 2016
The art of being wise is the art of knowing what to overlook. 智慧之道在于懂得该忽略什么. Always do your best. Wh ...
- WPF 画心2.0版之元旦快乐
2017年元旦已经到了,想做一个祝福语的窗口,就把上一篇画心的程序改了改,变成了如下界面. 说下改动的地方,首先窗口没有标题栏了. MainWindow.xaml AllowsTransparency ...
- JAVA程序中SQL语句无法传递中文参数
vi /etc/my.cnf [mysqld]# The default character set that will be used when a new schema or table is# ...
- postgresql pgsql最新版安装指南及数据存储路径更改及主从配置
postgresql pgsql最新版安装指南及数据存储路径更改及主从配置 安装指南 首先在apt的list添加你当前系统版本对应的apt列表 目前官网有16.04,14.04,12.04 分别对应下 ...
- Docker和Docker-compose安装教程以及docker-elk,docker-storm安装教程
此安装教程仅供我自己安装配置时查看,其他的人不可以偷看!!! 安装Docker 1. Update package information, ensure that APT works with th ...
- BI项目记笔记索引
这个笔记系列主要记录了在BI项目中,如何搭建环境进行源代码管理以及文档管理. 用到的产品包括: TFS Express Sharepoint Visual Studio SQL Server 配置 ...
- Win10 VS2015自动添加头注释
/********************************************************************************** 作者: $username$** ...
- conda安装包
前面讲了有关conda改变镜像提高安装速度,这里来解决很多实用C写的酷,在Windows下不好安装的解决方案 1. 寻找wheel预编译文件 没有的话 2.使用conda命令安装 没有该包的话 3.实 ...
- vue-cli
vue-cli 脚手架 vue-loader 作用:提供基本项目结构 本身集成了很多项目模板:simple,webpack ,webpack-simple; simple:几乎没什么用: webp ...