DataFrame
1.读入数据
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193344937-471131528.png)
2.获取前5行
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193408645-749409183.png)
3.获取第3-4行
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193435656-1583022152.png)
4.获取特定的列
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193512075-44244202.png)
5.使用整数选择行和列
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193545831-1483877257.png)
6.使用整数和标签的混合来选择行和列
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193616472-36250359.png)
7.获取这三列
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193644150-1940574000.png)
8.重置索引为province
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193718943-1324850379.png)
9.更改列名
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193759030-1166578738.png)
10.对数据进行计算
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193828880-363943170.png)
11 根据increase字段降序
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625194051644-1063086894.png)
12.matplotlib作图
(1)解决中文乱码问题
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625193921215-853314215.png)
(2)以2019年各省GDP总额做柱状图
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625194002284-1914785680.png)
(3)以2019年较2010年GDP增幅做柱状图
![](https://www.icode9.com/i/l/?n=20&i=blog/1996528/202106/1996528-20210625194243855-2052088878.png)
标签:GDP,行和列,整数,获取,柱状图,2019,pandas
来源: https://www.cnblogs.com/huahuawang/p/14932326.html