我已阅读了之前询问os.remove为什么得到
的案例WindowsError:[错误32]该进程无法访问文件,因为该文件正在被另一个进程使用。
我尝试将with与open(csvPath,“ r”)一起用作csvData,但是当我这样做时,我开始收到错误消息:
TypeError:'str'对象不支持项目分配
如果我用open和os.remove注释掉了,则将生成文件,但是我仍然需要删除源文件。我现在不担心第13行的注释,因为稍后可以修复该问题,但是我无法删除源文件有点问题。
import csv
import os
import datetime
for file in os.listdir(".\Pending"):
if file.endswith('.csv'):
csvFile = file
csvPath = (os.path.join(".\Pending",csvFile))
xmlFile = os.path.join('.\Processed',os.path.splitext(csvFile)[0] + '_' + datetime.datetime.today().strftime('%Y%m%d') + '.xml')
csvData = csv.reader(open(csvPath))
# Right now only comma delimitation is supported. This needs to be extended
# Make sure it is possible to write to the destination folder
try:
xmlData = open(xmlFile, 'w')
xmlData.write('<?xml version="1.0"?>' + "\n")
# there must be only one top-level tag
xmlData.write('<csv_data>' + "\n")
rowNum = 0
for row in csvData:
if rowNum == 0:
tags = row
# replace spaces w/ underscores in tag names
for i in range(len(tags)):
tags[i] = tags[i].replace(' ', '_')
else:
xmlData.write('<row>' + "\n")
for i in range(len(tags)):
xmlData.write(' ' + '<' + tags[i] + '>' \
+ row[i] + '</' + tags[i] + '>' + "\n")
xmlData.write('</row>' + "\n")
rowNum +=1
xmlData.write('</csv_data>' + "\n")
xmlData.close()
# IF there are no errors in the transform, delete from the pending path
# How do I catch unknown errors? What errors are possible within the transform?
os.remove(csvPath)
except IOError:
errorFile = file
errorPath = (os.path.join(".\Pending",errorFile))
logFile = os.path.join('.\Error',os.path.splitext(errorFile)[0] + '_' + datetime.datetime.today().strftime('%Y%m%d') + '.txt')
os.rename(os.path.join(".\Error",errorFile))
os.remove(errorPath)
log = open(logFile, 'w')
log.write("Cannot write to the Processed folder")
log.close()
else:
errorFile = file
errorPath = (os.path.join(".\Pending",errorFile))
logFile = os.path.join('.\Error',os.path.splitext(errorFile)[0] + '_' + datetime.datetime.today().strftime('%Y%m%d') + '.txt')
os.rename(os.path.join(".\Error",errorFile))
os.remove(errorPath)
log = open(logFile, 'w')
log.write("File is not a CSV extension")
log.close()
答案 0 :(得分:1)
使用始终是一种好习惯
with open(filename, 'r') as f:
dostuff...
因为该文件在退出“ with”语句后自动关闭。
另一种解决方案涉及“ pandas”软件包。 “ pandas”具有一个“ read_csv”方法,如果您提供了csv文件的名称,则该方法会在读取后自动关闭csv。例如,
import pandas
data = pandas.read_csv(filename)
# file is already closed here