无法将文件保存到python中的其他目录中

Posted 2021-04-10

因此，我正在尝试将大量的txt文件转换为csv并将其保存在其他文件夹中。我可以秘密地掩盖它们，但是它们始终保存在读取它们的文件夹中。我试过了joinpath，os.path.join，文件夹+文件名，打开（文件“ w +”，“ x”和“ w”）。CovertToCSV函数中的打印语句始终为我提供正确的文件夹，然后显示该文件夹中未包含该文件。

... nlps 11-CSV转换 CSV组合

... nlps 11-CSV转换 CSV组合

... nlps 11-CSV转换 Admission_Consult.csv

无论我如何尝试，都无法将其保存到所需的文件夹中。这越来越好笑了。我已阅读的链接位于底部。

import sys
import csv
from pathlib import Path    


workspace = Path('.../nlps/11-CSV converted')
saveTo = Path('.../nlps/11-CSV converted/CSV Combined')

def openFiles(dir):
    filePaths = list(workspace.glob('*.txt'))
    return filePaths

# Converts given file to CSV with one column with tabs as delimiter
def convertToCSV(filePaths):
    for fileName in filePaths:
        with open(fileName, 'r') as in_file:
            stripped = (line.strip() for line in in_file)
            lines = (line.split("	") for line in stripped if line)
            fileName = fileName.with_suffix('.csv')
            newFile = workspace.joinpath('CSV Combined')
            file = newFile.joinpath(fileName)
            print(saveTo)
            print(newFile)
            print(file)
            with open('CSV Combined'/file, 'w+') as out_file:
                writer = csv.writer(out_file)
                writer.writerows(lines)

https://docs.python.org/3/library/pathlib.html

https://docs.python.org/3/library/os.html#os.chmod

https://docs.python.org/3/library/functions.html#open

https://docs.python.org/3.8/library/csv.html

Writing to a new directory in Python without changing directory

How to write file in a different directory in python?

https://thispointer.com/how-to-create-a-directory-in-python/

Creating files and directories via Python

答案

这对我有用-使用Path属性和方法构造新文件的路径：

import os
from pathlib import Path    

workspace = Path(os.getcwd(),'output')
saveto = Path(workspace,'CSV Combined')
#saveto.mkdir()    # if it does not exist

for p in workspace.glob('*.txt'):
    name = p.name.replace(p.suffix,'.csv')
    new = Path(saveto,name)  
##    print(p,new)
    with open(p) as infile, open(new,'w') as outfile:
            outfile.write(infile.read())