查看数据
import pandas as pd
movie= pd.read_csv('movie.csv')
movie.head()
RankTitleGenreDescriptionDirector…Runtime (Minutes)RatingVotesRevenue (Millions)Metascore01Guardians of the GalaxyAction,Adventure,Sci-FiA group of intergalactic criminals are forced …James Gunn…1218.1757074333.1376.012PrometheusAdventure,Mystery,Sci-FiFollowing clues to the origin of mankind, a te…Ridley Scott…1247.0485820126.4665.023SplitHorror,ThrillerThree girls are kidnapped by a man with a diag…M. Night Shyamalan…1177.3157606138.1262.034SingAnimation,Comedy,FamilyIn a city of humanoid animals, a hustling thea…Christophe Lourdelet…1087.260545270.3259.045Suicide SquadAction,Adventure,FantasyA secret government agency recruits some of th…David Ayer…1236.2393727325.0240.0
5 rows × 12 columns
选择Genre这列，方法一：
选择Genre这列
movie['Genre']
#显示结果
0 Action,Adventure,Sci-Fi
1 Adventure,Mystery,Sci-Fi
2 Horror,Thriller
3 Animation,Comedy,Family
...
996 Horror
997 Drama,Music,Romance
998 Adventure,Comedy
999 Comedy,Family,Fantasy
Name: Genre, Length: 1000, dtype: object
选择Genre这列，方法二：
也可以通过属性的方式选取
movie.Genre
#显示结果
0 Action,Adventure,Sci-Fi
1 Adventure,Mystery,Sci-Fi
2 Horror,Thriller
3 Animation,Comedy,Family
...
996 Horror
997 Drama,Music,Romance
998 Adventure,Comedy
999 Comedy,Family,Fantasy
Name: Genre, Length: 1000, dtype: object
查看类型
#查看类型
type(movie['Genre'])
#pandas.core.series.Series
查看选取的列的名字
Genre_N = movie['Genre']
# 查看选取的列的名字
Genre_N.name
显示结果
#'Genre'
单列Series转换为DataFrame
Genre_N.to_frame().head()
Genre0Action,Adventure,Sci-Fi1Adventure,Mystery,Sci-Fi2Horror,Thriller3Animation,Comedy,Family4Action,Adventure,Fantasy
Original: https://blog.csdn.net/weixin_48135624/article/details/113767872
Author: 缘 源 园
Title: 如何从DataFrame中选择一列数据
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