精简pyecharts
2019-06-13 本文已影响7人
雨路浅歌
终于轮到了我非常喜欢的pyecharts,相对于matplotlib来说,我觉得pyecharts在视觉和交互上更胜一筹。好了,废话不多说,今天的内容很简单,主要是通过使用pyecharts来生成几种常见的图表进而初步了解pyecharts的使用方法。
温馨提示:本文采用的pyecharts版本为1.0,与0.5版本不兼容。
条形图
起步
首先还是从常见的条形图开始吧。
![](https://img.haomeiwen.com/i12048719/568fefaba533e5ee.jpg)
![](https://img.haomeiwen.com/i12048719/345c0b23e7439553.gif)
可以看出,pyecharts在交互上做得非常地好。
完善
![](https://img.haomeiwen.com/i12048719/fa65a532aa8c3464.jpg)
堆叠
![](https://img.haomeiwen.com/i12048719/9b1d99967d92a405.jpg)
标记最大最小值
![](https://img.haomeiwen.com/i12048719/045bf97afe8d06ed.jpg)
![](https://img.haomeiwen.com/i12048719/5fc4aff045143d49.jpg)
X/Y轴互换
![](https://img.haomeiwen.com/i12048719/facc9fea48c4e448.jpg)
折线图
起步
![](https://img.haomeiwen.com/i12048719/dc6b4a1673ee1422.jpg)
![](https://img.haomeiwen.com/i12048719/f8cbad1a8a49e7f2.jpg)
旋转坐标标签名称
可以看到,上图的横坐标标签名称没有完全显示,那就旋转45°吧
![](https://img.haomeiwen.com/i12048719/6ada94efe03bf69e.jpg)
![](https://img.haomeiwen.com/i12048719/da7589fe8e7d01c9.jpg)
更换主题和改变数值字体大小
![](https://img.haomeiwen.com/i12048719/3efca3eae7654aba.jpg)
![](https://img.haomeiwen.com/i12048719/3e15116fa9dbfae0.jpg)
折线面积图
![](https://img.haomeiwen.com/i12048719/01129a85679f1cee.jpg)
![](https://img.haomeiwen.com/i12048719/399403054a25ddd0.jpg)
散点图
起步
![](https://img.haomeiwen.com/i12048719/a677cbb765759804.jpg)
![](https://img.haomeiwen.com/i12048719/5de59601ae33bf13.jpg)
添加栅格
![](https://img.haomeiwen.com/i12048719/2c307fe3cce195de.jpg)
![](https://img.haomeiwen.com/i12048719/9b87e76158a0fb4d.jpg)
涟漪效果
![](https://img.haomeiwen.com/i12048719/8e35f6b94a3b773d.jpg)
![](https://img.haomeiwen.com/i12048719/0c6ec35f02bc3ec5.gif)
添加视觉映射
![](https://img.haomeiwen.com/i12048719/9edadbd095cf3b2b.jpg)
![](https://img.haomeiwen.com/i12048719/5c6304216f5bbd77.gif)
层叠图
条形图和折线图的组合
![](https://img.haomeiwen.com/i12048719/16dbad0cdd9ee5c3.jpg)
![](https://img.haomeiwen.com/i12048719/af6fed1f2a09923b.jpg)
双Y轴
![](https://img.haomeiwen.com/i12048719/e7b498923b81464a.jpg)
![](https://img.haomeiwen.com/i12048719/f13d96317bca6e7e.jpg)
地理图
数据导入和清洗
![](https://img.haomeiwen.com/i12048719/fd9e409d026d8173.jpg)
标记名称设置为不可见
![](https://img.haomeiwen.com/i12048719/2cfae4247063c864.jpg)
![](https://img.haomeiwen.com/i12048719/fa029e3d11597efb.gif)
写在最后:除了上面介绍的几种图表之外,还有很多其它类型的图表,如漏斗图、桑基图、词云图等等,大家可以上官网学习。
![](https://img.haomeiwen.com/i12048719/2a64a93298f8fd6b.jpg)