Raf*_*afa 7 python xml csv pandas jsonparser
我正在尝试将 xml 解析为多个不同的文件 -
示例 XML
<integration-outbound:IntegrationEntity
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<integrationEntityHeader>
<integrationTrackingNumber>281#963-4c1d-9d26-877ba40a4b4b#1583507840354</integrationTrackingNumber>
<referenceCodeForEntity>25428</referenceCodeForEntity>
<attachments>
<attachment>
<id>d6esd1d518b06019e01</id>
<name>durance.pdf</name>
<size>0</size>
</attachment>
<attachment>
<id>182e60164ddd4236b5bd96109</id>
<name>ssds</name>
<size>0</size>
</attachment>
</attachments>
<source>SIM</source>
<entity>SUPPLIER</entity>
<action>CREATE</action>
<timestampUTC>20200306T151721</timestampUTC>
<zDocBaseVersion>2.0</zDocBaseVersion>
<zDocCustomVersion>0</zDocCustomVersion>
</integrationEntityHeader>
<integrationEntityDetails>
<supplier>
<requestId>2614352</requestId>
<controlBlock>
<dataProcessingInfo>
<key>MODE</key>
<value>Onboarding</value>
</dataProcessingInfo>
<dataProcessingInfo>
<key>Supplier_Type</key>
<value>Operational</value>
</dataProcessingInfo>
</controlBlock>
<id>1647059</id>
<facilityCode>0001</facilityCode>
<systemCode>1</systemCode>
<supplierType>Operational</supplierType>
<systemFacilityDetails>
<systemFacilityDetail>
<facilityCode>0001</facilityCode>
<systemCode>1</systemCode>
<FacilityStatus>ACTIVE</FacilityStatus>
</systemFacilityDetail>
</systemFacilityDetails>
<status>ACTIVE</status>
<companyDetails>
<displayGSID>254232128</displayGSID>
<legalCompanyName>asdasdsads</legalCompanyName>
<dunsNumber>03-175-2493</dunsNumber>
<legalStructure>1</legalStructure>
<website>www.aaadistributor.com</website>
<noEmp>25</noEmp>
<companyIndicator1099>No</companyIndicator1099>
<taxidAndWxformRequired>NO</taxidAndWxformRequired>
<taxidFormat>Fed. Tax</taxidFormat>
<wxForm>182e601649ade4c38cd4236b5bd96109</wxForm>
<taxid>27-2204474</taxid>
<companyTypeFix>SUPPLIER</companyTypeFix>
<fields>
<field>
<id>LOW_CUURENT_SERV</id>
<value>1</value>
</field>
<field>
<id>LOW_COI</id>
<value>USA</value>
</field>
<field>
<id>LOW_STATE_INCO</id>
<value>US-PA</value>
</field>
<field>
<id>CERT_INSURANCE</id>
<value>d6e6e460fe8958564c1d518b06019e01</value>
</field>
<field>
<id>COMP_DBA</id>
<value>asdadas</value>
</field>
<field>
<id>LOW_AREUDIVE</id>
<value>N</value>
</field>
<field>
<id>LOW_BU_SIZE1</id>
<value>SMLBUS</value>
</field>
<field>
<id>EDI_CAP</id>
<value>Y</value>
</field>
<field>
<id>EDI_WEB</id>
<value>N</value>
</field>
<field>
<id>EDI_TRAD</id>
<value>N</value>
</field>
</fields>
</companyDetails>
<allLocations>
<location>
<addressInternalid>1704342</addressInternalid>
<isDelete>false</isDelete>
<internalSupplierid>1647059</internalSupplierid>
<acctGrpid>HQ</acctGrpid>
<address1>2501 GRANT AVE</address1>
<country>USA</country>
<state>US-PA</state>
<city>PHILADELPHIA</city>
<zip>19114</zip>
<phone>(215) 745-7900</phone>
</location>
</allLocations>
<contactDetails>
<contactDetail>
<contactInternalid>12232</contactInternalid>
<isDelete>false</isDelete>
<addressInternalid>1704312142</addressInternalid>
<contactType>Main</contactType>
<firstName>Raf</firstName>
<lastName>jas</lastName>
<title>Admin</title>
<email>abcd@gmail.com</email>
<phoneNo>123-42-23-23</phoneNo>
<createPortalLogin>yes</createPortalLogin>
<allowedPortalSideProducts>SIM,iSource,iContract</allowedPortalSideProducts>
</contactDetail>
<contactDetail>
<contactInternalid>1944938</contactInternalid>
<isDelete>false</isDelete>
<addressInternalid>1704342</addressInternalid>
<contactType>Rad</contactType>
<firstName>AVs</firstName>
<lastName>asd</lastName>
<title>Founder</title>
<email>as@sds.com</email>
<phoneNo>21521-2112-7900</phoneNo>
<createPortalLogin>yes</createPortalLogin>
<allowedPortalSideProducts>SIM,iContract,iSource</allowedPortalSideProducts>
</contactDetail>
</contactDetails>
<myLocation>
<addresses>
<myLocationsInternalid>1704342</myLocationsInternalid>
<isDelete>false</isDelete>
<addressInternalid>1704342</addressInternalid>
<usedAt>N</usedAt>
</addresses>
</myLocation>
<bankDetails>
<fields>
<field>
<id>LOW_BANK_KEY</id>
<value>123213</value>
</field>
<field>
<id>LOW_EFT</id>
<value>123123</value>
</field>
</fields>
</bankDetails>
<forms>
<form>
<id>CATEGORY_PRODSER</id>
<records>
<record>
<Internalid>24348</Internalid>
<isDelete>false</isDelete>
<fields>
<field>
<id>CATEGOR_LEVEL_1</id>
<value>MR</value>
</field>
<field>
<id>LOW_PRODSERV</id>
<value>RES</value>
</field>
<field>
<id>LOW_LEVEL_2</id>
<value>keylevel221</value>
</field>
<field>
<id>LOW_LEVEL_3</id>
<value>keylevel3127</value>
</field>
<field>
<id>LOW_LEVEL_4</id>
<value>keylevel4434</value>
</field>
<field>
<id>LOW_LEVEL_5</id>
<value>keylevel5545</value>
</field>
</fields>
</record>
<record>
<Internalid>24349</Internalid>
<isDelete>false</isDelete>
<fields>
<field>
<id>CATEGOR_LEVEL_1</id>
<value>MR</value>
</field>
<field>
<id>LOW_PRODSERV</id>
<value>RES</value>
</field>
<field>
<id>LOW_LEVEL_2</id>
<value>keylevel221</value>
</field>
<field>
<id>LOW_LEVEL_3</id>
<value>keylevel3125</value>
</field>
<field>
<id>LOW_LEVEL_4</id>
<value>keylevel4268</value>
</field>
<field>
<id>LOW_LEVEL_5</id>
<value>keylevel5418</value>
</field>
</fields>
</record>
<record>
<Internalid>24350</Internalid>
<isDelete>false</isDelete>
<fields>
<field>
<id>CATEGOR_LEVEL_1</id>
<value>MR</value>
</field>
<field>
<id>LOW_PRODSERV</id>
<value>RES</value>
</field>
<field>
<id>LOW_LEVEL_2</id>
<value>keylevel221</value>
</field>
<field>
<id>LOW_LEVEL_3</id>
<value>keylevel3122</value>
</field>
<field>
<id>LOW_LEVEL_4</id>
<value>keylevel425</value>
</field>
<field>
<id>LOW_LEVEL_5</id>
<value>keylevel5221</value>
</field>
</fields>
</record>
</records>
</form>
<form>
<id>OTHER_INFOR</id>
<records>
<record>
<isDelete>false</isDelete>
<fields>
<field>
<id>S_EAST</id>
<value>N</value>
</field>
<field>
<id>W_EST</id>
<value>N</value>
</field>
<field>
<id>M_WEST</id>
<value>N</value>
</field>
<field>
<id>N_EAST</id>
<value>N</value>
</field>
<field>
<id>LOW_AREYOU_ASSET</id>
<value>-1</value>
</field>
<field>
<id>LOW_SWART_PROG</id>
<value>-1</value>
</field>
</fields>
</record>
</records>
</form>
<form>
<id>ABDCEDF</id>
<records>
<record>
<isDelete>false</isDelete>
<fields>
<field>
<id>LOW_COD_CONDUCT</id>
<value>-1</value>
</field>
</fields>
</record>
</records>
</form>
<form>
<id>CODDUC</id>
<records>
<record>
<isDelete>false</isDelete>
<fields>
<field>
<id>LOW_SUPPLIER_TYPE</id>
<value>2</value>
</field>
<field>
<id>LOW_DO_INT_BOTH</id>
<value>1</value>
</field>
</fields>
</record>
</records>
</form>
</forms>
</supplier>
</integrationEntityDetails>
</integration-outbound:IntegrationEntity>
目标是实现通用的 xml 到 csv 转换。根据输入文件，xml 应该被展平并分解成多个 csv 并存储。
输入是上面的 xml 和下面的配置 csv 文件。需要使用文件中提到的相应 XPATH 创建 3 个 csv 文件
XPATH,ColumName,CSV_File_Name,ParentKey
/integration-outbound:IntegrationEntity/integrationEntityHeader/integrationTrackingNumber,integrationTrackingNumber,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/referenceCodeForEntity,referenceCodeForEntity,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/attachments/attachment[]/id,id,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/attachments/attachment[]/name,name,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/attachments/attachment[]/size,size,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/source,source,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/entity,entity,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/action,action,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/timestampUTC,timestampUTC,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/zDocBaseVersion,zDocBaseVersion,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/zDocCustomVersion,zDocCustomVersion,integrationEntityHeader.csv,
/integration-outbound:IntegrationEntity/integrationEntityHeader/integrationTrackingNumber,integrationTrackingNumber,integrationEntityDetailsControlBlock.csv,Y
/integration-outbound:IntegrationEntity/integrationEntityHeader/referenceCodeForEntity,referenceCodeForEntity,integrationEntityDetailsControlBlock.csv,Y
/integration-outbound:IntegrationEntity/integrationEntityDetails/supplier/requestId,requestId,integrationEntityDetailsControlBlock.csv,
/integration-outbound:IntegrationEntity/integrationEntityDetails/supplier/controlBlock/dataProcessingInfo[]/key,key,integrationEntityDetailsControlBlock.csv,
/integration-outbound:IntegrationEntity/integrationEntityDetails/supplier/controlBlock/dataProcessingInfo[]/value,value,integrationEntityDetailsControlBlock.csv,
/integration-outbound:IntegrationEntity/integrationEntityDetails/supplier/id,supplier_id,integrationEntityDetailsControlBlock.csv,
/integration-outbound:IntegrationEntity/integrationEntityDetails/supplier/forms/form[]/id,id,integrationEntityDetailsForms.csv,
/
将xml转换为dict，然后编写解析逻辑，因为同样可以用于json。stackoverflow 非常有用，并且该解决方案是基于所有这些链接的响应构建的。为了简单起见，我创建了一个 3 级嵌套 xml。这适用于 Python3
<?xml version="1.0"?><Company><Employee><FirstName>Hal</FirstName><LastName>Thanos</LastName><ContactNo>122131</ContactNo><Email>hal.thanos@xyz.com</Email><Addresses><Address><City>Bangalore</City><State>Karnataka</State><Zip>560212</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form></forms></Address></Addresses></Employee><Employee><FirstName>Iron</FirstName><LastName>Man</LastName><ContactNo>12324</ContactNo><Email>iron.man@xyz.com</Email><Addresses><Address><type>Permanent</type><City>Bangalore</City><State>Karnataka</State><Zip>560212</Zip><forms><form><id>ID3</id><value>LIC</value></form></forms></Address><Address><type>Temporary</type><City>Concord</City><State>NC</State><Zip>28027</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form><form><id>ID3</id><value>SSN</value></form><form><id>ID2</id><value>CC</value></form></forms></Address></Addresses></Employee></Company>
<?xml version="1.0"?><Company><Employee><FirstName>Captain</FirstName><LastName>America</LastName><ContactNo>13322</ContactNo><Email>captain.america@xyz.com</Email><Addresses><Address><City>Trivandrum</City><State>Kerala</State><Zip>28115</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form></forms></Address></Addresses></Employee><Employee><FirstName>Sword</FirstName><LastName>Man</LastName><ContactNo>12324</ContactNo><Email>sword.man@xyz.com</Email><Addresses><Address><type>Permanent</type><City>Bangalore</City><State>Karnataka</State><Zip>560212</Zip><forms><form><id>ID3</id><value>LIC</value></form></forms></Address><Address><type>Temporary</type><City>Concord</City><State>NC</State><Zip>28027</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form><form><id>ID3</id><value>SSN</value></form><form><id>ID2</id><value>CC</value></form></forms></Address></Addresses></Employee></Company>
<?xml version="1.0"?><Company><Employee><FirstName>Thor</FirstName><LastName>Odison</LastName><ContactNo>156565</ContactNo><Email>thor.odison@xyz.com</Email><Addresses><Address><City>Tirunelveli</City><State>TamilNadu</State><Zip>36595</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form></forms></Address></Addresses></Employee><Employee><FirstName>Spider</FirstName><LastName>Man</LastName><ContactNo>12324</ContactNo><Email>spider.man@xyz.com</Email><Addresses><Address><type>Permanent</type><City>Bangalore</City><State>Karnataka</State><Zip>560212</Zip><forms><form><id>ID3</id><value>LIC</value></form></forms></Address><Address><type>Temporary</type><City>Concord</City><State>NC</State><Zip>28027</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form><form><id>ID3</id><value>SSN</value></form><form><id>ID2</id><value>CC</value></form></forms></Address></Addresses></Employee></Company>
<?xml version="1.0"?><Company><Employee><FirstName>Black</FirstName><LastName>Widow</LastName><ContactNo>16767</ContactNo><Email>black.widow@xyz.com</Email><Addresses><Address><City>Mysore</City><State>Karnataka</State><Zip>12478</Zip><forms><form><id>ID1</id><value>LIC</value></form></forms></Address></Addresses></Employee><Employee><FirstName>White</FirstName><LastName>Man</LastName><ContactNo>5634</ContactNo><Email>white.man@xyz.com</Email><Addresses><Address><type>Permanent</type><City>Bangalore</City><State>Karnataka</State><Zip>560212</Zip><forms><form><id>ID3</id><value>LIC</value></form></forms></Address><Address><type>Temporary</type><City>Concord</City><State>NC</State><Zip>28027</Zip><forms><form><id>ID1</id><value>LIC</value></form><form><id>ID2</id><value>PAS</value></form><form><id>ID3</id><value>SSN</value></form><form><id>ID2</id><value>CC</value></form></forms></Address></Addresses></Employee></Company>
此 xml 的配置文件是所有可能的数组/多级/爆炸列，应提及为 []。正如代码中所提到的，需要标头。
根据您的存储更改变量 process_config_csv = 'config.csv' xml_file_name = 'test.xml'
XPATH,ColumName,CSV_File_Name
/Company/Employee[]/FirstName,FirstName,Name.csv
/Company/Employee[]/LastName,LastName,Name.csv
/Company/Employee[]/ContactNo,ContactNo,Name.csv
/Company/Employee[]/Email,Email,Name.csv
/Company/Employee[]/FirstName,FirstName,Address.csv
/Company/Employee[]/LastName,LastName,Address.csv
/Company/Employee[]/ContactNo,ContactNo,Address.csv
/Company/Employee[]/Email,Email,Address.csv
/Company/Employee[]/Addresses/Address[]/City,City,Address.csv
/Company/Employee[]/Addresses/Address[]/State,State,Address.csv
/Company/Employee[]/Addresses/Address[]/Zip,Zip,Address.csv
/Company/Employee[]/Addresses/Address[]/type,type,Address.csv
/Company/Employee[]/FirstName,FirstName,Form.csv
/Company/Employee[]/LastName,LastName,Form.csv
/Company/Employee[]/ContactNo,ContactNo,Form.csv
/Company/Employee[]/Email,Email,Form.csv
/Company/Employee[]/Addresses/Address[]/type,type,Form.csv
/Company/Employee[]/Addresses/Address[]/forms/form[]/id,id,Form.csv
/Company/Employee[]/Addresses/Address[]/forms/form[]/value,value,Form.csv
基于配置文件创建多个csv的代码是
import json
import xmltodict
import json
import os
import csv
import numpy as np
import pandas as pd
import sys
from collections import defaultdict
import numpy as np
def getMatches(L1, L2):
R = set()
for elm in L1:
for pat in L2:
if elm.find(pat) != -1:
if elm.find('.', len(pat)+1) != -1:
R.add(elm[:elm.find('.', len(pat)+1)])
else:
R.add(elm)
return list(R)
def xml_parse(xml_file_name):
try:
process_xml_file = xml_file_name
with open(process_xml_file) as xml_file:
for xml_string in xml_file:
"""Converting the xml to Dict"""
data_dict = xmltodict.parse(xml_string)
"""Converting the dict to Pandas DF"""
df_processing = pd.json_normalize(data_dict)
xml_parse_loop(df_processing)
xml_file.close()
except Exception as e:
s = str(e)
print(s)
def xml_parse_loop(df_processing_input):
CSV_File_Name = []
"""Getting the list of csv Files to be created"""
with open(process_config_csv, newline='') as csvfile:
DataCaptured = csv.DictReader(csvfile)
for row in DataCaptured:
if row['CSV_File_Name'] not in CSV_File_Name:
CSV_File_Name.append(row['CSV_File_Name'])
"""Iterating the list of CSV"""
for items in CSV_File_Name:
df_processing = df_processing_input
df_subset_process = []
df_subset_list_all_cols = []
df_process_sub_explode_Level = []
df_final_column_name = []
print('Parsing the xml file for creating the file - ' + str(items))
"""Fetching the field list for processs from the confic File"""
with open(process_config_csv, newline='') as csvfile:
DataCaptured = csv.DictReader(csvfile)
for row in DataCaptured:
if row['CSV_File_Name'] in items:
df_final_column_name.append(row['ColumName'])
"""Getting the columns until the first [] """
df_subset_process.append(row['XPATH'].strip('/').replace("/",".").split('[]')[0])
"""Getting the All the columnnames"""
df_subset_list_all_cols.append(row['XPATH'].strip('/').replace("/",".").replace("[]",""))
"""Getting the All the Columns to explode"""
df_process_sub_explode_Level.append(row['XPATH'].strip('/').replace('/', '.').split('[]'))
explode_ld = defaultdict(set)
"""Putting Level of explode and column names"""
for x in df_process_sub_explode_Level:
if len(x) > 1:
explode_ld[len(x) - 1].add(''.join(x[: -1]))
explode_ld = {k: list(v) for k, v in explode_ld.items()}
#print(' The All column list is for the file ' + items + " is " + str(df_subset_list_all_cols))
#print(' The first processing for the file ' + items + " is " + str(df_subset_process))
#print('The explode level of attributes for the file ' + items + " is " + str(explode_ld))
"""Remove column duplciates"""
df_subset_process = list(dict.fromkeys(df_subset_process))
for col in df_subset_process:
if col not in df_processing.columns:
df_processing[col] = np.nan
df_processing = df_processing[df_subset_process]
df_processing_col_list = df_processing.columns.tolist()
print ('The total levels to be exploded : %d' % len(explode_ld))
i=0
level=len(explode_ld)
for i in range(level):
print (' Exploding the Level : %d' % i )
df_processing_col_list = df_processing.columns.tolist()
list_of_explode=set(df_processing_col_list) & set(explode_ld[i + 1])
#print('List to expolde' + str(list_of_explode))
"""If founc in explode list exlplode some xml doesnt need to have a list it could be column handling the same"""
for c in list_of_explode:
print (' There are column present which needs to be exploded - ' + str(c))
df_processing = pd.concat((df_processing.iloc[[type(item) == list for item in df_processing[c]]].explode(c),df_processing.iloc[[type(item) != list for item in df_processing[c]]]))
print(' Finding the columns need to be fetched ')
"""From the overall column list fecthing the attributes needed to explode"""
next_level_pro_lst = getMatches(df_subset_list_all_cols,explode_ld[ i + 1 ])
#print(next_level_pro_lst)
df_processing_col_list = df_processing.columns.tolist()
for nex in next_level_pro_lst:
#print ("Fetching " + nex.rsplit('.', 1)[1] + ' from ' + nex.rsplit('.', 1)[0] + ' from ' + nex )
parent_col=nex.rsplit('.', 1)[0]
child_col=nex.rsplit('.', 1)[1]
#print(parent_col)
#print(df_processing_col_list)
if parent_col not in df_processing_col_list:
df_processing[nex.rsplit('.', 1)[0]] = ""
try:
df_processing[nex] = df_processing[parent_col].apply(lambda x: x.get(child_col))
except AttributeError:
df_processing[nex] = ""
df_processing_col_list = df_processing.columns.tolist()
if i == level-1:
print('Last Level nothing to be done')
else:
"""Extracting All columns until the next exlode column list is found"""
while len(set(df_processing_col_list) & set(explode_ld[i + 2]))==0:
next_level_pro_lst = getMatches(df_subset_list_all_cols, next_level_pro_lst)
#print(next_level_pro_lst)
for nextval in next_level_pro_lst:
if nextval not in df_processing_col_list:
#print("Fetching " + nextval.rsplit('.', 1)[1] + ' from ' + nextval.rsplit('.', 1)[0] + ' from ' + nextval)
if nextval.rsplit('.', 1)[0] not in df_processing.columns:
df_processing[nextval.rsplit('.', 1)[0]] = ""
try:
df_processing[nextval] = df_processing[nextval.rsplit('.', 1)[0]].apply(lambda x: x.get(nextval.rsplit('.', 1)[1]))
except AttributeError:
df_processing[nextval] = ""
df_processing_col_list = df_processing.columns.tolist()
df_processing = df_processing[df_subset_list_all_cols]
df_processing.columns = df_final_column_name
# if file does not exist write header
if not os.path.isfile(items):
print("The file does not exists Exists so writing new")
df_processing.to_csv('{}'.format(items), header='column_names',index=None)
else: # else it exists so append without writing the header
print("The file does exists Exists so appending")
df_processing.to_csv('{}'.format(items), mode='a', header=False,index=None)
from datetime import datetime
startTime = datetime.now().strftime("%Y%m%d_%H%M%S")
startTime = str(os.getpid()) + "_" + startTime
process_task_name = ''
process_config_csv = 'config.csv'
xml_file_name = 'test.xml'
old_print = print
def timestamped_print(*args, **kwargs):
now = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")
printheader = now + " xml_parser " + " " + process_task_name + " - "
old_print(printheader, *args, **kwargs)
print = timestamped_print
xml_parse(xml_file_name)
创建的输出是
[, ~]$ cat Name.csv
FirstName,LastName,ContactNo,Email
Hal,Thanos,122131,hal.thanos@xyz.com
Iron,Man,12324,iron.man@xyz.com
Captain,America,13322,captain.america@xyz.com
Sword,Man,12324,sword.man@xyz.com
Thor,Odison,156565,thor.odison@xyz.com
Spider,Man,12324,spider.man@xyz.com
Black,Widow,16767,black.widow@xyz.com
White,Man,5634,white.man@xyz.com
[, ~]$ cat Address.csv
FirstName,LastName,ContactNo,Email,City,State,Zip,type
Iron,Man,12324,iron.man@xyz.com,Bangalore,Karnataka,560212,Permanent
Iron,Man,12324,iron.man@xyz.com,Concord,NC,28027,Temporary
Hal,Thanos,122131,hal.thanos@xyz.com,Bangalore,Karnataka,560212,
Sword,Man,12324,sword.man@xyz.com,Bangalore,Karnataka,560212,Permanent
Sword,Man,12324,sword.man@xyz.com,Concord,NC,28027,Temporary
Captain,America,13322,captain.america@xyz.com,Trivandrum,Kerala,28115,
Spider,Man,12324,spider.man@xyz.com,Bangalore,Karnataka,560212,Permanent
Spider,Man,12324,spider.man@xyz.com,Concord,NC,28027,Temporary
Thor,Odison,156565,thor.odison@xyz.com,Tirunelveli,TamilNadu,36595,
White,Man,5634,white.man@xyz.com,Bangalore,Karnataka,560212,Permanent
White,Man,5634,white.man@xyz.com,Concord,NC,28027,Temporary
Black,Widow,16767,black.widow@xyz.com,Mysore,Karnataka,12478,
[, ~]$ cat Form.csv
FirstName,LastName,ContactNo,Email,type,id,value
Iron,Man,12324,iron.man@xyz.com,Temporary,ID1,LIC
Iron,Man,12324,iron.man@xyz.com,Temporary,ID2,PAS
Iron,Man,12324,iron.man@xyz.com,Temporary,ID3,SSN
Iron,Man,12324,iron.man@xyz.com,Temporary,ID2,CC
Hal,Thanos,122131,hal.thanos@xyz.com,,ID1,LIC
Hal,Thanos,122131,hal.thanos@xyz.com,,ID2,PAS
Iron,Man,12324,iron.man@xyz.com,Permanent,ID3,LIC
Sword,Man,12324,sword.man@xyz.com,Temporary,ID1,LIC
Sword,Man,12324,sword.man@xyz.com,Temporary,ID2,PAS
Sword,Man,12324,sword.man@xyz.com,Temporary,ID3,SSN
Sword,Man,12324,sword.man@xyz.com,Temporary,ID2,CC
Captain,America,13322,captain.america@xyz.com,,ID1,LIC
Captain,America,13322,captain.america@xyz.com,,ID2,PAS
Sword,Man,12324,sword.man@xyz.com,Permanent,ID3,LIC
Spider,Man,12324,spider.man@xyz.com,Temporary,ID1,LIC
Spider,Man,12324,spider.man@xyz.com,Temporary,ID2,PAS
Spider,Man,12324,spider.man@xyz.com,Temporary,ID3,SSN
Spider,Man,12324,spider.man@xyz.com,Temporary,ID2,CC
Thor,Odison,156565,thor.odison@xyz.com,,ID1,LIC
Thor,Odison,156565,thor.odison@xyz.com,,ID2,PAS
Spider,Man,12324,spider.man@xyz.com,Permanent,ID3,LIC
White,Man,5634,white.man@xyz.com,Temporary,ID1,LIC
White,Man,5634,white.man@xyz.com,Temporary,ID2,PAS
White,Man,5634,white.man@xyz.com,Temporary,ID3,SSN
White,Man,5634,white.man@xyz.com,Temporary,ID2,CC
White,Man,5634,white.man@xyz.com,Permanent,ID3,LIC
Black,Widow,16767,black.widow@xyz.com,,ID1,LIC
这些片段和答案是从不同的线程中提取的，感谢@Mark Tolonen @Mandy007 @deadshot
这肯定可以变得更短、性能更强，并且可以进一步增强
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