與壓痕錯誤混淆

Question

再次您好，我正在用這段代碼編寫代碼，這讓我很惡心。 我已經解決了以前遇到的所有其他問題，但是現在當我運行代碼時，出現了縮進錯誤。 附上我的代碼，該錯誤的圖像會不斷彈出，以幫助您找出此問題，將不勝感激。

import csv, datetime

franchiseList = {}

with open('Franchise_Name_Scrub_List.csv', 'r') as ff:
fcf = csv.DictReader(ff)
for frow in fcf:
    franchiseList[frow['Misc Franchise Name']] = frow

newrow={'Last Sale Date': '', 'Last Sale Amount': '', 'First Name': '', 'Last Name': '', 'Email Address': '', 'Franchise': '', 'State': '', 'Postal/Zip Code': '', 'Last Web Order ID': '', 'Date Added': '', 'Email Source':'', 'osg_web_dir': ''}
new_field_names = newrow.keys()

with open('SOR935csv_(1).csv', 'r') as f1, open('FACTS_bronto_import_add.csv', 'wb') as f2:
cf1 = csv.DictReader(f1, fieldnames=('CustNo1', 'CustNo2', 'LastOrderDate', 'LastOrderAmount', 'FirstName', 'LastName', 'UserNo', 'EmailAddress', 'Franchise', 'PrevOrderDate', 'PrevOrderAmount', 'State', 'ZIP', 'Amt1', 'Amt2', 'Amt3', 'SalesPerson', 'WEBID'))
cf2 = csv.DictWriter(f2, new_field_names)
cf2.writeheader()
for row in cf1:
    nr = newrow
    nr['Last Sale Date'] = row['LastOrderDate'].strip()
    nr['Last Sale Amount'] = row['LastOrderAmount'].strip()
    nr['First Name'] = row['FirstName'].strip()
    nr['Last Name'] = row['LastName'].strip()
    nr['Email Address'] = row['EmailAddress'].strip().split(',',1)[0]

    fr_name = row['Franchise'].strip()
    if fr_name in franchiseList:
    nr['Franchise'] = franchiseList[fr_name]['FRANCHISE Name'].strip()
nr['Franchise'] = row['Franchise'].strip()
nr['State'] = row['State'].strip()
nr['Postal/Zip Code'] = row['ZIP'].strip()
nr['Last Web Order ID'] = row['WEBID'].strip()
nr['Date Added'] = datetime.date.today().strftime('%m/%d/%Y')
nr['osg_web_dir'] = row['SalesPerson'].strip()
nr['Email Source'] = 'FACTSauto'
print nr
cf2.writerow(nr)

import csv

newrow={'Last Sale Date': '', 'Last Sale Amount': '', 'First Name': '', 'Last Name': '', 'Email Address': '', 'Franchise': '', 'State': '', 'Postal/Zip Code': '', 'Last Web Order ID': '',  'osg_web_dir': ''}
new_field_names = newrow.keys()

with open('SOR935csv_(1).csv', 'r') as f3, open('FACTS_bronto_import_update.csv', 'wb') as f4:
cf3 = csv.DictReader(f3, fieldnames=('CustNo1', 'CustNo2', 'LastOrderDate', 'LastOrderAmount', 'FirstName', 'LastName', 'UserNo', 'EmailAddress', 'Franchise', 'PrevOrderDate', 'PrevOrderAmount', 'State', 'ZIP', 'Amt1', 'Amt2', 'Amt3', 'SalesPerson', 'WEBID'))
cf4 = csv.DictWriter(f4, new_field_names)
cf4.writeheader()
for row in cf3:
    nr = newrow
    nr['Last Sale Date'] = row['LastOrderDate'].strip()
    nr['Last Sale Amount'] = row['LastOrderAmount'].strip()
    nr['First Name'] = row['FirstName'].strip()
    nr['Last Name'] = row['LastName'].strip()
    nr['Email Address'] = row['EmailAddress'].strip().split(',',1)[0]
    nr['Franchise'] = row['Franchise'].strip()
    nr['State'] = row['State'].strip()
    nr['Postal/Zip Code'] = row['ZIP'].strip()
    nr['Last Web Order ID'] = row['WEBID'].strip()
    nr['osg_web_dir'] = row['SalesPerson'].strip()
    print nr
    cf4.writerow(nr)

調整

在多行上有一個縮進問題，這要歸功於一些友善的人，這是我很容易解決的復雜問題。

Answer 1

使用以下命令運行腳本：

print -tt scriptname.py

並修復所有報告的錯誤。

然后將編輯器配置為僅使用空格進行縮進。