"Pandas 데이터프레임 인덱스로 컬럼 제거"의 두 판 사이의 차이

 
11번째 줄: 11번째 줄:
import pandas as pd
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df2 = df.drop(columns=[0,2])
df2 = df.drop(columns=df.columns[[0,2]])
print( df2.head() )
print( df2.head() )
</syntaxhighlight>
</syntaxhighlight>
18번째 줄: 18번째 줄:
import pandas as pd
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df.drop(df.columns[[0,2]], 1, inplace=True)
df.drop(columns=df.columns[[0,2]], inplace=True)
print( df.head() )
print( df.head() )
</syntaxhighlight>
</syntaxhighlight>

2022년 2월 11일 (금) 10:54 기준 최신판

1 개요[ | ]

Pandas 데이터프레임 인덱스로 컬럼 제거
  • 인덱스는 0부터 시작한다.
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
print( df.head() )
not-inplace
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df2 = df.drop(columns=df.columns[[0,2]])
print( df2.head() )
inplace
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
df.drop(columns=df.columns[[0,2]], inplace=True)
print( df.head() )

2 같이 보기[ | ]

문서 댓글 ({{ doc_comments.length }})
{{ comment.name }} {{ comment.created | snstime }}