我试图解析一个相对复杂的（对我来说！）XML文件。我以前在类似的主题中发布过，并对此有所了解。然而，这引起了我的问题。我的XML文件的摘录：
<?xml version="1.0" ?>
<record number="1" type="custID" first-time="Wed Feb 4 19:22:57 2014" last-time="Fri Feb 7 10:11:02 2015">
<Customer name="Bob Janotior" custID="4466851">
<type>Monthly</type>
<max-books>5</max-books>
<rental status="false">overdue</essid>
</Customer>
<book title="All The Things" type="fiction" author="Jill Taylor" pubID="7744jh566lp">
<cover>softback</cover>
<pub>Penguin</pub>
</book>
<book title="Mellow Tides of War" type="non-fiction" author="Prof. Lambert et al" pubID="7744gd556se">
<cover>hardback</cover>
<pub>Penguin</pub>
</book>
</record>
<record number="2" type="custID" first-time="Wed Apr 8 15:23:54 2012" last-time="Fri Feb 7 10:11:02 2015">
<Customer name="Jayne Wrikcek" custID="4466787">
<type>Monthly</type>
<max-books>5</max-books>
<rental status="false">overdue</essid>
</Customer>
<book title="Kiss Me Hardy" type="fiction" author="AR Jones" pubID="766485gf66ki">
<cover>softback</cover>
<pub>/Kingsoft</pub>
</book>
<book title="Oskar Came Again" type="fiction" author="Johnathan Huphries" pubID="a5555qwd2">
<cover>hardback</cover>
<pub>Lofthouse</pub>
</book>
</record>
所以以前我使用的是我在Python 2.7中编写的脚本：
from xml.dom.minidom import parse
import xml.dom.minidom
import csv
def writeToCSV(myLibrary):
with open('output.csv', 'wb') as csvfile:
writer = csv.writer(csvfile, delimiter=',',quotechar='"', quoting=csv.QUOTE_MINIMAL)
writer.writerow(['title', 'author', 'author'])
books = myLibrary.getElementsByTagName("book")
for book in books:
titleValue = book.getElementsByTagName("title")[0].childNodes[0].data
authors = [] # get all the authors in a vector
for author in book.getElementsByTagName("author"):
authors.append(author.childNodes[0].data)
writer.writerow([titleValue] + authors) # write to csv
doc = parse('library.xml')
myLibrary = doc.getElementsByTagName("library")[0]
# Print each book's title
writeToCSV(myLibrary)
此脚本实际上是为更简单的XML文件编写的。我很难为这个XML文件调整它，这对我来说是一个更复杂的结构。我正在慢慢掌握minidom和csv写作，但这对我来说还是新的。这是我想在CSV文件中输出的那种输出：
这是我想要在CSV文件中输出的那种输出：
record number,type,Customer name,CustID,type,max-books,rental status,book,title,type,author,
1,custID,Bob Janotoir,4466851,Monthly,5,false,overdue,All The Things,fiction,Jill Taylor,
2,custID,Jayne Wrikcek,4466787,Monthly,5,false,overdue,Kiss Me Hardy,fiction,AR Jones,
答案 0 :(得分：0)
这是我的XML版本到CSV
我创建了一个字典，我递归地附加了每个xml记录的项目。该代码考虑了具有相同名称的xml子项，并将它们重命名为child，child2，child3等。
希望这会有所帮助：
XML文件：
（mdoified - ＆gt;添加了根节点“树”，将</essid>更改为</rental>）
<tree>
<record number="1" type="custID" first-time="Wed Feb 4 19:22:57 2014" last-time="Fri Feb 7 10:11:02 2015">
<Customer name="Bob Janotior" custID="4466851">
<type>Monthly</type>
<max-books>5</max-books>
<rental status="false">overdue</rental>
</Customer>
<book title="All The Things" type="fiction" author="Jill Taylor" pubID="7744jh566lp">
<cover>softback</cover>
<pub>Penguin</pub>
</book>
<book title="Mellow Tides of War" type="non-fiction" author="Prof. Lambert et al" pubID="7744gd556se">
<cover>hardback</cover>
<pub>Penguin</pub>
</book>
</record>
<record number="2" type="custID" first-time="Wed Apr 8 15:23:54 2012" last-time="Fri Feb 7 10:11:02 2015">
<Customer name="Jayne Wrikcek" custID="4466787">
<type>Monthly</type>
<max-books>5</max-books>
<rental status="false">overdue</rental>
</Customer>
<book title="Kiss Me Hardy" type="fiction" author="AR Jones" pubID="766485gf66ki">
<cover>softback</cover>
<pub>/Kingsoft</pub>
</book>
<book title="Oskar Came Again" type="fiction" author="Johnathan Huphries" pubID="a5555qwd2">
<cover>hardback</cover>
<pub>Lofthouse</pub>
</book>
</record>
</tree>
<强>代码：
from collections import defaultdict, OrderedDict
from xml.etree import ElementTree as etree
import csv
# takes as input an xml root, a dictionary where to store the parsed values and an id number suggesting uniqueness of the current node
def parse_node(root, dict, id):
# Parse this node
tag_dict = OrderedDict()
for key, value in root.attrib.items():
if id > 1: # if there are more than one childs with the same tag
tag_dict[root.tag + str(id) + ':' + key] = value
else:
tag_dict[root.tag + ':' + key] = value
# Get children of node
children = root.getchildren()
# If node has one or more child
if len(children) >= 1:
# Loop through all the children
tag_dict_id = defaultdict(lambda: 0)
for child in children:
tag_dict_id[child.tag] += 1 # keep track of the children
# call to recursion function
# Parse children
parse_node(child, tag_dict, tag_dict_id[child.tag])
# If does not have children and is the 'search_node'
elif len(children) == 0:
# Store the text inside the node.
if id > 1:
tag_dict[root.tag + str(id) + ':text'] = root.text
else:
tag_dict[root.tag + ':text'] = root.text
# update the current dictionary with the new data
dict.update(tag_dict)
return dict
# Input: an xml root node. Output: 'output.csv'
def writeToCSV(records_lib):
records_list = [] # contains each of the records
with open('output.csv', 'wb') as csvfile:
header = OrderedDict() # dictionary with the csv header
for record in records_lib:
parsed_record = parse_node(record, OrderedDict(), 1)
for x in parsed_record.keys():
header[x] = x
records_list.append(parsed_record)
writer = csv.DictWriter(csvfile, fieldnames=header.keys())
writer.writerow(header)
for record in records_list:
writer.writerow(record)
doc = etree.parse('library.xml')
root = doc.getroot()
writeToCSV(root)
<强>输出：
record:first-time,record:last-time,record:type,record:number,Customer:custID,Customer:name,type:text,max-books:text,rental:status,rental:text,book:title,book:pubID,book:type,book:author,cover:text,pub:text,book2:title,book2:pubID,book2:type,book2:author
Wed Feb 4 19:22:57 2014,Fri Feb 7 10:11:02 2015,custID,1,4466851,Bob Janotior,Monthly,5,false,overdue,All The Things,7744jh566lp,fiction,Jill Taylor,hardback,Penguin,Mellow Tides of War,7744gd556se,non-fiction,Prof. Lambert et al
Wed Apr 8 15:23:54 2012,Fri Feb 7 10:11:02 2015,custID,2,4466787,Jayne Wrikcek,Monthly,5,false,overdue,Kiss Me Hardy,766485gf66ki,fiction,AR Jones,hardback,Lofthouse,Oskar Came Again,a5555qwd2,fiction,Johnathan Huphries
亲切的问候，