【发布时间】：2021-03-02 09:13:18
【问题描述】：
我有一个名称格式类似的 excel 文件列表。我需要将他们名称中的信息用作熊猫数据框中的列。我对正则表达式不太熟悉，但我使用谷歌和堆栈溢出来弄清楚如何做我需要的。但是，我需要帮助解决一些极端情况。
这是我拥有的前 40 个文件的名称列表，它可以帮助展示我面临的挑战：
Maker Month Wise Data of VADAKARA RTO - KL18 , Kerala (2020).xlsx
Maker Month Wise Data of KATHUA RTO - JK8 , Jammu & Kashmir (2020).xlsx
Maker Month Wise Data of KANCHEEPURAM RTO - TN21 , Tamil Nadu (2020).xlsx
Maker Month Wise Data of KANJIRAPPALLY SRTO - KL34 , Kerala (2020).xlsx
Maker Month Wise Data of PATHANKOT SDM - PB35 , Punjab (2020).xlsx
Maker Month Wise Data of Chiplun Chiplun Track - MH202 , Maharashtra (2020).xlsx
Maker Month Wise Data of ZUNHEBOTO DTO - NL6 , Nagaland (2020).xlsx
Maker Month Wise Data of MAJITHA SDM - PB81 , Punjab (2020).xlsx
Maker Month Wise Data of Adinath Fitness Center - RJ260 , Rajasthan (2020).xlsx
Maker Month Wise Data of MUMBAI (EAST) - MH3 , Maharashtra (2020).xlsx
Maker Month Wise Data of CHIDAMBARAM RTO - TN544 , Tamil Nadu (2020).xlsx
Maker Month Wise Data of PUDUCHERRY - PY1 , Puducherry (2020).xlsx
Maker Month Wise Data of RANIPET RTO - TN73 , Tamil Nadu (2020).xlsx
Maker Month Wise Data of RTA, HISAR - HR39 , Haryana (2020).xlsx
Maker Month Wise Data of AIZAWL RURAL DTO - MZ9 , Mizoram (2020).xlsx
Maker Month Wise Data of ANANDPUR SAHIB SDM - PB16 , Punjab (2020).xlsx
Maker Month Wise Data of PEN (RAIGAD) - MH6 , Maharashtra (2020).xlsx
Maker Month Wise Data of PEHOWA - HR41 , Haryana (2020).xlsx
Maker Month Wise Data of AKOLA - MH30 , Maharashtra (2020).xlsx
Maker Month Wise Data of CANACONA RTO - GA10 , Goa (2020).xlsx
Maker Month Wise Data of Hooghly RTO - WB15 , West Bengal (2020).xlsx
Maker Month Wise Data of DEVIKULAM SRTO - KL68 , Kerala (2020).xlsx
Maker Month Wise Data of KUTTANADU SRTO - KL66 , Kerala (2020).xlsx
Maker Month Wise Data of CHENNAI (NORTH-EAST) RTO - TN3 , Tamil Nadu (2020).xlsx
Maker Month Wise Data of RLA SHILLAI - HP85 , Himachal Pradesh (2020).xlsx
Maker Month Wise Data of Baloda Bazar DTO - CG22 , Chhattisgarh (2020).xlsx
Maker Month Wise Data of TC OFFICE - STA OFFICE - KL99 , Kerala (2020).xlsx
Maker Month Wise Data of NANDURBAR - MH39 , Maharashtra (2020).xlsx
Maker Month Wise Data of KHETRI DTO - RJ53 , Rajasthan (2020).xlsx
Maker Month Wise Data of AHMEDGARH SDM - PB82 , Punjab (2020).xlsx
Maker Month Wise Data of Alipurduar RTO - WB69 , West Bengal (2020).xlsx
Maker Month Wise Data of RLA GOHAR - HP32 , Himachal Pradesh (2020).xlsx
Maker Month Wise Data of KOLHAPUR - MH9 , Maharashtra (2020).xlsx
Maker Month Wise Data of SILVASSA - DD1 , UT of DNH and DD (2020).xlsx
Maker Month Wise Data of MANNARGHAT SRTO - KL50 , Kerala (2020).xlsx
Maker Month Wise Data of SRIVILLIPUTHUR RTO - TN605 , Tamil Nadu (2020).xlsx
Maker Month Wise Data of ZONAL OFFICE, SOUTH WEST DELHI,DWARKA - DL9 , Delhi (2020).xlsx
Maker Month Wise Data of BUDGAM ARTO - JK4 , Jammu & Kashmir (2020).xlsx
Maker Month Wise Data of Kolar RTO - KA7 , Karnataka (2020).xlsx
Maker Month Wise Data of Singtam, East Sikkim - SK8 , Sikkim (2020).xlsx
这是使用正则表达式从这些文件名中提取信息的代码的 sn-p：
# Add RTO column - WORKS
rto = re.search('\s\sof\s(.*)\s\-', file_name)
df['RTO'] = rto.group(1)
# Add registration number column - NEEDS TO BE CORRECTED - See match 27
registration_number = re.search('\s\-(.*)\s\,', file_name)
df['Registration Number'] = registration_number.group(1)
# Add state column - NEEDS TO BE CORRECTED - See match 14, 34, 37
state = re.search('\,\s(.*)\s\(', file_name)
df['State'] = state.group(1)
# Add year column - NEEDS TO BE CORRECTED - See match 10, 17, 24,
year = re.search('\((.*)\)', file_name)
df['Year'] = year.group(1)
RTO 的正则表达式似乎可以正常工作，但是对于注册号、州和年份，需要修复某些极端情况。我在代码 cmets 中突出显示了正则表达式错误行。如果我可以提供任何其他意见，请告诉我。
如果我能在解决此问题时获得任何帮助，我将不胜感激！
【问题讨论】：
-
为什么不使用previous 单提取正则表达式？看来您只需要第 1 组模式中的贪婪量词，
\s+of\s(.*),\s*(.*?)\s*\((\d{4})\)，检查this regex demo -
嘿，本质上我也必须将注册号字段分开，这意味着我必须有另一列输入像“AR15”或“MH39”这样的输入，我不能让它们分组RTO 字段，我不想在我结束问题后再次打扰你。你能帮我解决这个问题吗？
标签： regex