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# 《python数据可视化之美》配套代码
<p>
<img src="https://github.com/Easy-Shu/EasyShu-WeChat/blob/master/%E3%80%90Python%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96%E4%B9%8B%E7%BE%8E%E3%80%91.png" alt="微信公众号" width="1000">
</p>

本书主要介绍如何使用python中的matplotlib、seaborn、plotnine、basemap等包绘制专业图表。本书先介绍了python语言编程基础知识,以及使用numpy和pandas两个包的数据操作方法;再对比了matplotlib、seaborn和plotnine三个包的图形语法。本书系统性地介绍了使用matplotlib、seaborn和plotnine绘制类别对比型、数据关系型、时间序列型、整体局部型、地理空间型等常见的二维和三维图表的绘制方法。另外,本书也介绍了商业图表与学术图表的规范与差异,以及如何使用matplotlib包绘制HTML交互页面动画。

本书所用python版本为:3.7.1;图表绘制包matplotlib、seaborn、plotnine、geoplot和geopandas的版本分别为:3.0.2、0.9.0、0.5.1、0.3.2和0.4.1;数据处理包numpy和pandas的版本分别为:1.15.4和0.23.4。
python作为免费的开源软件,数据分析与可视化的包更新迭代很快,这是它的优势。但是有时候有些代码运行可能会由于python及其包版本的更新,而出现函数弃用(deprecated)的情况。此时,需要自己更新代码,使用新的函数替代原有的函数。

京东购买地址:https://item.jd.com/12829246.html

当当购买地址:http://product.dangdang.com/28527228.html

---
### 如有问题,可以联系本书作者-张杰微信:EasyCharts
<p>
<img src="https://github.com/Easy-Shu/EasyShu-WeChat/blob/master/WeChat_ZhangJie.png" alt="开发者微信号" width="250" height="250">
</p>


### 欢迎关注我们的微信公众号:EasyShu
<p>
<img src="https://github.com/Easy-Shu/EasyShu-WeChat/blob/master/WeChat.jpg" alt="微信公众号" width="250" height="250">
</p>


## 引用

如果这本书对你的科研图表绘制有用,也可引用该书:

```
@book{Zhang2020python,
title={Beautiful Data Visualization of {Python}- How to Make Professional Charts},
author={Zhang, Jie},
isbn={9787121383700},
url={https://books.google.com.hk/books?id=v3C2zQEACAAJ},
year={2020},
publisher={Publishing House of Electronic Industry}
}
```
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