博客
关于我
dataframe.isna() vs. isnull
阅读量:344 次
发布时间:2019-03-04

本文共 652 字,大约阅读时间需要 2 分钟。

  • Detect missing values.

    Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values.

    Characters such as empty strings '' or numpy.inf are not considered NA values (unless you set pandas.options.mode.use_inf_as_na=True)

  • Detect missing values. same like upon.

  • isna vs. isnull

    In python, they are exactly the same thing, same docs and same code.

    The reason why have two methods withe different names do the same thing, because pandas’s DataFrame are based on R’s DataFrame, In R na and null are two seperate things. refer to 《》

  • References

转载地址:http://ndge.baihongyu.com/

你可能感兴趣的文章
Mysql-事务阻塞
查看>>
Mysql-存储引擎
查看>>
mysql-开启慢查询&所有操作记录日志
查看>>
MySQL-数据目录
查看>>
MySQL-数据页的结构
查看>>
MySQL-架构篇
查看>>
MySQL-索引的分类(聚簇索引、二级索引、联合索引)
查看>>
Mysql-触发器及创建触发器失败原因
查看>>
MySQL-连接
查看>>
mysql-递归查询(二)
查看>>
MySQL5.1安装
查看>>
mysql5.5和5.6版本间的坑
查看>>
mysql5.5最简安装教程
查看>>
mysql5.6 TIME,DATETIME,TIMESTAMP
查看>>
mysql5.6.21重置数据库的root密码
查看>>
Mysql5.6主从复制-基于binlog
查看>>
MySQL5.6忘记root密码(win平台)
查看>>
MySQL5.6的Linux安装shell脚本之二进制安装(一)
查看>>
MySQL5.6的zip包安装教程
查看>>
mysql5.7 for windows_MySQL 5.7 for Windows 解压缩版配置安装
查看>>