# or-pandas

**Repository Path**: lg21c/or-pandas

## Basic Information

- **Project Name**: or-pandas
- **Description**: 【运筹OR帷幄|数据科学】pandas教程系列电子书
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 1
- **Created**: 2020-09-18
- **Last Updated**: 2021-04-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 【运筹OR帷幄|数据科学】pandas实战教程系列电子书

本书是由【运筹OR帷幄】公众号旗下的数据科学社区共同创作和整理的开源电子书。

本书的特点是简单易上手，每一章节都有相应的jupyter文件，可以直接放在带有jupyter notebook的python环境中运行。

## 书籍目录
预备章：[Jupyter简介](articles/Pandas%E6%95%99%E7%A8%8B_00%E5%A7%8B%E4%BA%8EJupyter%20Notebooks%EF%BC%9A%E4%B8%80%E4%BB%BD%E5%85%A8%E9%9D%A2%E7%9A%84%E5%88%9D%E5%AD%A6%E8%80%85%E5%AE%9E%E7%94%A8%E6%8C%87%E5%8D%97.md)

第一章：[数据分析入门](articles/Pandas%E6%95%99%E7%A8%8B_01%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%85%A5%E9%97%A8.md)
[(code)](code/pandas%E6%95%99%E7%A8%8B_01%E5%85%A5%E9%97%A8.ipynb)

第二章：[数据导入与导出](articles/pandas%E6%95%99%E7%A8%8B_02%E6%95%B0%E6%8D%AE%E5%AF%BC%E5%85%A5%E4%B8%8E%E5%AF%BC%E5%87%BA.md)
[(code)](code/pandas%E6%95%99%E7%A8%8B_02%E6%95%B0%E6%8D%AE%E5%AF%BC%E5%85%A5%E4%B8%8E%E5%AF%BC%E5%87%BA)

第三章：[数据分组与聚合](articles/pandas%E6%95%99%E7%A8%8B_03%E5%88%86%E7%BB%84%E5%92%8C%E8%81%9A%E5%90%88.md)
[(code)](code/pandas%E6%95%99%E7%A8%8B_03%E5%88%86%E7%BB%84%E4%B8%8E%E8%81%9A%E5%90%88.ipynb)

第四章：[数据的索引、汇总和缺失处理](articles/pandas%E6%95%99%E7%A8%8B_04%E7%B4%A2%E5%BC%95%E3%80%81%E6%B1%87%E6%80%BB%E5%92%8C%E5%A4%84%E7%90%86%E7%BC%BA%E5%A4%B1%E6%95%B0%E6%8D%AE.md)
[(code)](code/pandas%E6%95%99%E7%A8%8B_04%E7%B4%A2%E5%BC%95%E3%80%81%E6%B1%87%E6%80%BB%E5%92%8C%E5%A4%84%E7%90%86%E7%BC%BA%E5%A4%B1%E6%95%B0%E6%8D%AE.ipynb)

第五章：[从 Pandas 小白到 Pandas 能手](articles/Pandas%E6%95%99%E7%A8%8B_05%E4%BB%8EPandas%E5%B0%8F%E7%99%BD%E5%88%B0Pandas%E8%83%BD%E6%89%8B.md)[(code)](code/Pandas%E6%95%99%E7%A8%8B_05%E4%BB%8E%20Pandas%20%E5%B0%8F%E7%99%BD%E5%88%B0%20Pandas%20%E8%83%BD%E6%89%8B)

---

分析实例一：[豆瓣电影分析--华语篇](articles/Pandas%E5%AE%9E%E4%BE%8B_01%E7%94%A8%E6%95%B0%E6%8D%AE%E5%B8%A6%E4%BD%A0%E4%BA%86%E8%A7%A3%E7%94%B5%E5%BD%B1%E8%A1%8C%E4%B8%9A%E2%80%94%E5%8D%8E%E8%AF%AD%E7%AF%87.md)[(code)](code/Pandas%E5%AE%9E%E4%BE%8B_01%E7%94%A8%E6%95%B0%E6%8D%AE%E5%B8%A6%E4%BD%A0%E4%BA%86%E8%A7%A3%E7%94%B5%E5%BD%B1%E8%A1%8C%E4%B8%9A%E2%80%94%E5%8D%8E%E8%AF%AD%E7%AF%87)

分析实例二：[豆瓣电影分析--全球篇](articles/Pandas%E5%AE%9E%E4%BE%8B_02%E7%94%A8%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%B8%A6%E4%BD%A0%E4%BA%86%E8%A7%A3%E7%94%B5%E5%BD%B1%E8%A1%8C%E4%B8%9A%E7%99%BE%E5%B9%B4%E5%8F%91%E5%B1%95%E5%8E%86%E7%A8%8B.md)[(code)](code/Pandas%E5%AE%9E%E4%BE%8B_02%E7%94%A8%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%B8%A6%E4%BD%A0%E4%BA%86%E8%A7%A3%E7%94%B5%E5%BD%B1%E8%A1%8C%E4%B8%9A%E7%99%BE%E5%B9%B4%E5%8F%91%E5%B1%95%E5%8E%86%E7%A8%8B)

分析实例三：[NBA 投篮数据分析](articles/Pandas%E5%AE%9E%E4%BE%8B_03%E7%86%8A%E7%8C%AB%E7%88%B1%E4%B8%8A%E7%AF%AE%E7%90%83%EF%BC%8CPandas%20%E9%80%A0%E7%A6%8F%E4%B8%96%E7%95%8C.md)[(code)](code/Pandas%E5%AE%9E%E4%BE%8B_03%E7%86%8A%E7%8C%AB%E7%88%B1%E4%B8%8A%E7%AF%AE%E7%90%83%EF%BC%8CPandas%20%E9%80%A0%E7%A6%8F%E4%B8%96%E7%95%8C)

分析实例四：[运筹学薪资分析](/articles/Pandas%E5%AE%9E%E4%BE%8B_04%E6%89%8B%E6%8A%8A%E6%89%8B%E7%94%A8Python%E6%95%99%E4%BD%A0%E5%88%86%E6%9E%90%E8%BF%90%E7%AD%B9%E5%AD%A6%E8%96%AA%E8%B5%84%E7%8A%B6%E5%86%B5.md)[(code)](code/Pandas%E5%AE%9E%E4%BE%8B_04%E6%89%8B%E6%8A%8A%E6%89%8B%E7%94%A8Python%E6%95%99%E4%BD%A0%E5%88%86%E6%9E%90%E8%BF%90%E7%AD%B9%E5%AD%A6%E8%96%AA%E8%B5%84%E7%8A%B6%E5%86%B5)

*注：本电子书中的预备章为转载文章，其余均为【运筹OR帷幄】原创文章。转载文章已经表明出处，且所有文章均在公众号中发布并获得授权*

**特别感谢参与本书编辑的同学：**
[yeungsk](https://github.com/yeungsk), [tiny-boat](https://github.com/tiny-boat), [xingyu321](https://github.com/xingyu321), [qiu-pinggaizi](https://github.com/qiu-pinggaizi)