删除python路径硬代码和传递列表

**更新日期：美国东部时间2019年8月1日0945

我已经通过Bhakta007给出的函数传递了脚本，但收到一个路径错误“系统无法找到指定的路径：”

在回顾之后，我在脚本的末尾添加了下面的语句，以便通过函数传递列表，代码也可以正常工作

对于fList中的f： excel\u csv（fList）

我对下面的问题补充了一个答案

我有一个小脚本，可以运行它将excel文件转换为.csv。目前，我必须用硬编码的路径重复脚本。当前路径具有完全相同的结构，只有一个3位数的标识符例外，我想创建一个可以从中调用的列表。下面是我的代码。你会看到我有一些有路径的变量，我在需要的地方传递这些变量。我研究了os.path、glob和pathlib，但是我找不到解决这个问题的好方法

原始代码

import os
import glob
import pandas as pd
import shutil


Target_Path     =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/Working/'))
Move_Path       =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/ToProcess/'))
Process_Path    =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/Processed/'))
os.chdir(Target_Path)

try:
    for f in glob.glob('*.xls'):
        out = f.split('.')[0]+'.csv'
        df = pd.read_excel(f,)
        df.to_csv(out, index=False)

finally:
    for f in glob.glob('*.xlsx'):
        out = f.split('.')[0]+'.csv'
        df = pd.read_excel(f,)
        df.to_csv(out, index=False)

xlsCounter = len(glob.glob1(Target_Path,"*.xls"))
xlsxCounter = len(glob.glob1(Target_Path,"*.xlsx"))
csvcounter = len(glob.glob1(Target_Path,"*.csv"))

if csvcounter == xlsCounter + xlsxCounter :
    print('Complete Convert')

else: 
    print('Failed Convert')   

for files in glob.glob('*.csv'):
    shutil.move(files, Move_Path)

for files in glob.glob('*.xls'):
    shutil.move(files, Process_Path)

for files in glob.glob('*.xlsx'):
    shutil.move(files, Process_Path)



if len(os.listdir(Target_Path) ) == 0:
    print('Complete Move')

else: 
    print('Failed Move')

import os
import glob
import pandas as pd
import shutil

def excel_csv(facility):
    for f in facility:
        Target_Path     =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/Working/'))
        Move_Path       =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/ToProcess/'))
        Process_Path    =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/Processed/'))
        os.chdir(Target_Path)

    try:
        for f in glob.glob('*.xls'):
            out = f.split('.')[0]+'.csv'
            df = pd.read_excel(f,)
            df.to_csv(out, index=False)

    finally:
        for f in glob.glob('*.xlsx'):
            out = f.split('.')[0]+'.csv'
            df = pd.read_excel(f,)
            df.to_csv(out, index=False)

    xlsCounter = len(glob.glob1(Target_Path,"*.xls"))
    xlsxCounter = len(glob.glob1(Target_Path,"*.xlsx"))
    csvcounter = len(glob.glob1(Target_Path,"*.csv"))

    if csvcounter == xlsCounter + xlsxCounter :
        print('Complete Convert')

    else: 
        print('Failed Convert')   

    for files in glob.glob('*.csv'):
        shutil.move(files, Move_Path)

    for files in glob.glob('*.xls'):
        shutil.move(files, Process_Path)

    for files in glob.glob('*.xlsx'):
        shutil.move(files, Process_Path)



    if len(os.listdir(Target_Path) ) == 0:
        print('Complete Move')

    else: 
        print('Failed Move')

fList = ['261', '262', '278', '300']
for f in fList:
    excel_csv(fList)

导入操作系统
导入glob
作为pd进口熊猫
进口舒蒂尔
def流程（文件夹）：
对于文件夹中的f：
Target_Path=os.Path.join（os.Path.dirname（'//fs/Unprocessed/{}/Edlog/Working/'）。格式（文件夹））
Move_Path=os.Path.join（os.Path.dirname（'//fs/Unprocessed/{}/Edlog/ToProcess/'）。格式（文件夹））
Process_Path=os.Path.join（os.Path.dirname（'//fs/Unprocessed/{}/Edlog/Processed/'）。格式（文件夹））
os.chdir（目标路径）
fList=[261262278300]
过程（fList）

我使用了从Bhakta007创建的函数，但收到“系统无法找到指定的路径：”错误

-增加的修订-

我在脚本末尾添加了一个“For”子句，并通过函数传递了列表，并且能够在所有目录中成功运行脚本

我还为“Facility”使用了一个fstring，而不是.format（Facility）

下面是工作代码

import os
import glob
import pandas as pd
import shutil


Target_Path     =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/Working/'))
Move_Path       =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/ToProcess/'))
Process_Path    =   os.path.join(os.path.dirname('//fs/Unprocessed/261/Edlog/Processed/'))
os.chdir(Target_Path)

try:
    for f in glob.glob('*.xls'):
        out = f.split('.')[0]+'.csv'
        df = pd.read_excel(f,)
        df.to_csv(out, index=False)

finally:
    for f in glob.glob('*.xlsx'):
        out = f.split('.')[0]+'.csv'
        df = pd.read_excel(f,)
        df.to_csv(out, index=False)

xlsCounter = len(glob.glob1(Target_Path,"*.xls"))
xlsxCounter = len(glob.glob1(Target_Path,"*.xlsx"))
csvcounter = len(glob.glob1(Target_Path,"*.csv"))

if csvcounter == xlsCounter + xlsxCounter :
    print('Complete Convert')

else: 
    print('Failed Convert')   

for files in glob.glob('*.csv'):
    shutil.move(files, Move_Path)

for files in glob.glob('*.xls'):
    shutil.move(files, Process_Path)

for files in glob.glob('*.xlsx'):
    shutil.move(files, Process_Path)



if len(os.listdir(Target_Path) ) == 0:
    print('Complete Move')

else: 
    print('Failed Move')

import os
import glob
import pandas as pd
import shutil

def excel_csv(facility):
    for f in facility:
        Target_Path     =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/Working/'))
        Move_Path       =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/ToProcess/'))
        Process_Path    =   os.path.join(os.path.dirname(f'//fs/Unprocessed/{facility}/Edlog/Processed/'))
        os.chdir(Target_Path)

    try:
        for f in glob.glob('*.xls'):
            out = f.split('.')[0]+'.csv'
            df = pd.read_excel(f,)
            df.to_csv(out, index=False)

    finally:
        for f in glob.glob('*.xlsx'):
            out = f.split('.')[0]+'.csv'
            df = pd.read_excel(f,)
            df.to_csv(out, index=False)

    xlsCounter = len(glob.glob1(Target_Path,"*.xls"))
    xlsxCounter = len(glob.glob1(Target_Path,"*.xlsx"))
    csvcounter = len(glob.glob1(Target_Path,"*.csv"))

    if csvcounter == xlsCounter + xlsxCounter :
        print('Complete Convert')

    else: 
        print('Failed Convert')   

    for files in glob.glob('*.csv'):
        shutil.move(files, Move_Path)

    for files in glob.glob('*.xls'):
        shutil.move(files, Process_Path)

    for files in glob.glob('*.xlsx'):
        shutil.move(files, Process_Path)



    if len(os.listdir(Target_Path) ) == 0:
        print('Complete Move')

    else: 
        print('Failed Move')

fList = ['261', '262', '278', '300']
for f in fList:
    excel_csv(fList)

---

谢谢，我实现了此更改，但收到错误“系统找不到指定的路径：'//fs/Unprocessed/[776]/Edlog/Working'。如果我在函数外使用相同的代码并以该格式传递（文件夹），或者使用Fstring，它就能够找到路径。