首页 > 其他 > 详细

pandas series和pd.Dataframe区别

时间:2020-03-10 00:03:40      阅读:225      评论:0      收藏:0      [点我收藏+]

import pandas as pd

data = {‘Country‘:[‘Belgium‘, ‘India‘, ‘Brazil‘],
‘Capital‘:[‘Brussels‘, ‘New Delhi‘, ‘Brasilia‘],
‘Population‘:[11190846, 1303171035, 207847528]
}
df=pd.DataFrame(data)
print(df[["Country"]].values) # <class ‘pandas.core.frame.DataFrame‘> ,multi divison
print(df["Country"].values) # series one divison

#

# pd.Dataframe

[[‘Belgium‘]
[‘India‘]
[‘Brazil‘]]

#series:
[‘Belgium‘ ‘India‘ ‘Brazil‘]

Process finished with exit code 0

pandas series和pd.Dataframe区别

原文:https://www.cnblogs.com/SunshineKimi/p/12452253.html

(0)
(0)
   
举报
评论 一句话评论(0
关于我们 - 联系我们 - 留言反馈 - 联系我们:wmxa8@hotmail.com
© 2014 bubuko.com 版权所有
打开技术之扣,分享程序人生!