前言
明早把z-score和01实战一下
然后pandas读取文件学一学
3.判断列有无缺失值
4.判断每一行的缺失值
5.缺失值定位到每一行
6.各变量缺失的值
7.直接删除空值对应所在行
8.定义缺失值为0
ps:fillna填充好文：
https://blog.csdn.net/qq_21840201/article/details/81008566?ops_request_misc=&request_id=&biz_id=102&utm_term=fillna%E4%B8%ADinplace=false&utm_medium=distribute.pc_search_result.none-task-blog-2allsobaiduweb~default-5-.first_rank_v2_pc_rank_v29&spm=1018.2226.3001.4187
ps：关于inplace的好文：
https://blog.csdn.net/songyunli1111/article/details/82937954?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522162843431116780274199115%2522%252C%2522scm%2522%253A%252220140713.130102334…%2522%257D&request_id=162843431116780274199115&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2allbaidu_landing_v2~default-1-82937954.first_rank_v2_pc_rank_v29&utm_term=pandas%E4%B8%ADinplace%3Dfalse&spm=1018.2226.3001.4187
9.多种方式填充缺失值：
10.增加索引
11.删除特定的行或列
12.数据排序：
13.数据汇总
重新以列表的情况输出
