python - 如何从 pandas DataFrame 中删除列？

Question

这是我的 pandas 数据框:

file,class,type,cbo,wmc,dit,rfc,lcom,totalMethods,staticMethods,publicMethods,privateMethods,protectedMethods,defaultMethods,abstractMethods,finalMethods,synchronizedMethods,totalFields,staticFields,publicFields,privateFields,protectedFields,defaultFields,finalFields,synchronizedFields,nosi,loc,returnQty,loopQty,comparisonsQty,tryCatchQty,parenthesizedExpsQty,stringLiteralsQty,numbersQty,assignmentsQty,mathOperationsQty,variablesQty,maxNestedBlocks,anonymousClassesQty,subClassesQty,lambdasQty,uniqueWordsQty
C:\BlokusDuo-master\app\src\main\java\blokusgame\mi\android\hazi\blokus\GameLogic\Block.java,blokusgame.mi.android.hazi.blokus.GameLogic.Block,class,2,40,1,16,14,17,0,17,0,0,0,0,0,0,4,0,0,4,0,0,0,0,0,159,18,9,0,0,5,4,45,50,8,8,28,2,0,0,0,61
C:\BlokusDuo-master\app\src\main\java\blokusgame\mi\android\hazi\blokus\GameLogic\BlockFactory.java,blokusgame.mi.android.hazi.blokus.GameLogic.BlockFactory,class,3,22,1,23,231,22,22,1,21,0,0,0,0,0,0,0,0,0,0,0,0,0,21,224,22,0,0,0,0,0,199,43,0,0,43,0,0,0,0,33

我需要删除列文件和类型。 我使用了这段代码。

Import pandas as pd 
import csv 
df=pd.read_csv('class.csv', sep=',')
df=drop(['file','type'])

它返回给我这个

        class   cbo wmc dit rfc lcom    totalMethods    staticMethods   publicMethods   privateMethods  protectedMethods    defaultMethods  abstractMethods finalMethods    synchronizedMethods totalFields staticFields    publicFields    privateFields   protectedFields defaultFields   finalFields synchronizedFields  nosi    loc returnQty   loopQty comparisonsQty  tryCatchQty parenthesizedExpsQty    stringLiteralsQty   numbersQty  assignmentsQty  mathOperationsQty   variablesQty    maxNestedBlocks anonymousClassesQty subClassesQty   lambdasQty  uniqueWordsQty
C:\BlokusDuo-master\app\src\main\java\blokusgame\mi\android\hazi\blokus\GameLogic\Block.java    class   40  1   16  14  17  0   17  0   0   0   0   0   0   4   0   0   4   0   0   0   0   0   159 18  9   0   0   5   4   45  50  8   8   28  2   0   0   0   61
C:\BlokusDuo-master\app\src\main\java\blokusgame\mi\android\hazi\blokus\GameLogic\BlockFactory.java class   22  1   23  231 22  22  1   21  0   0   0   0   0   0   0   0   0   0   0   0   0   21  224 22  0   0   0   0   0   199 43  0   0   43  0   0   0   0   33

它仅从头部删除文件和类型，但它们的值仍然存在。我还使用了 del df['column_name']!

请帮忙!

Answer 1

您可以使用usecols跳过该列

Import pandas as pd 
import csv

df = pd.read_csv(
      "class.csv", 
      usecols = lambda column : column not in ["class","type"],
      index=False, sep=","
    )

source1

source2