如何将具有逗号分隔符的 CSV 文件转换为只有空格分隔符的 csv答案

【问题标题】：How to convert CSV file which having comma delimiter to csv with only space delimiter如何将具有逗号分隔符的 CSV 文件转换为只有空格分隔符的 csv
【发布时间】：2021-05-22 04:11:58
【问题描述】：

我正在尝试将逗号分隔的 csv 文件转换为空格分隔的列。请参阅输入和输出文件的列以了解动机。

fILENAME ,sent_no ,   word ,POS ,lab,Slab
File_1 ,  sentence:1,  abc, NNP, B,NO   
                     fhj, PSP, O,O    
                     bmm ,NNP,B,NO   
                     vbn ,PSP, O,O    
                     vbn ,NN , B,NO   
                     vbn ,NNPC,B,NO  
                     . , Sym ,O,O

我写过代码

import csv
filename1 = sys.argv[1]
filename2 = sys.argv[2] 

with open(filename1) as infile, open(filename2, 'w') as outfile:
    print(infile.read())
    outfile.write(infile.read().replace(",", " "))

在这条语句之后print(infile.read()) 的值是

",",F,i,l,e,n,a,m,e,",",S,e,n,t,e,n,c,e,_,n,u,m,",",W,o,r,d,",",P,O,S,",",M,E,N,T,_,L,a,b,e,l,",",S,I,N,G,L,E,_,M,E,N,T,I,O,N
0,",",f,i,l,e,_,1,",",s,e,n,t,e,n,c,e,:,1,",",a,िb,c,",",N,N,P",",B,",",N,O

【问题讨论】：

标签： python python-3.x pandas numpy csv

【解决方案1】：

您可以使用 pandas 和 sep 参数来指定所需的分隔符进行读写：

input_df = pd.read_csv(filename1, sep=",")
input_df.to_csv(filename2, sep=" ", index=False)

【讨论】：

问题是当我使用 csv 编辑器打开 csv 文件时，它会显示 gud，但是当使用 input_df = pd.read_csv(filename1, sep=",") 读取时，它会显示如下所示的 sprinting input_df ， ,F,i,l,e,n,a,m,e,",",S,e,n,t,e,n,c,e,,n,u,m,",",W, o,r,d,",",P,O,S,",",M,E,N,T,,L,a,b,e,l,",",S,I,N,G ,L,E,,M,E,N,T,I,O,N 0,",",f,i,l,e,,1,",",s,e,n,t,e, n,c,e,:,1,",",a,िb,c,",",N,N,P",",B,",",N,O
你在看同一个文件吗？