读取CSV文件并替换xml标记

时间:2015-12-30 00:07:21

标签: python xml parsing xml-parsing xml.etree

我想读取CSV文件,并将xml文件中的标记替换为CSV文件的第二列。标签'名称'值位于第一列。

A         |    B

Value1    |    ValueX
Value2    |    ValueX
Value3    |    ValueY

XML结构看起来像。

<products>
   <product>
      <name>Value1</name>
   </product>
   <product>
      <name>Values2</name>
   </product>
   <product>
      <name>Values3</name>
   </product>
</products>

Python代码

import csv 
import collections
import xml.etree.ElementTree
tree = xml.etree.ElementTree.parse("jolly.xml").getroot()

with open('file.csv', 'r') as f:
    reader = csv.DictReader(f)# read rows into a dictionary format
    reader = csv.reader(f, dialect=csv.excel_tab)
    list = list(reader)
    columns = collections.defaultdict(list)# each value in each column is appended to a list

for (k, v) in row.items(): #go over each column name and value
    columns[k].append(v)# append the value into the appropriate list

print columns['A']
print columns['B']
for elem in tree.findall('.//name'):
    if elem.attrib['name'] == columns['A']:
        elem.attrib['name'] == columns['B']

我该如何处理?

以下是CSV文件的外观:

Reading CSV file looks like

输出应如下所示:

Value1 should be replaced with ValueX

好的,这是我的解决方案:

import lxml.etree as ET


arr = ["Value1", "Value2", "Value3"]
arr2 = ["ValuX", "ValuX", "ValueY"]

with open('file.xml', 'rb+') as f:
    tree = ET.parse(f)
    root = tree.getroot()
    for i, item in enumerate(arr):
         for elem in root.findall('.//Value1'):
             print(elem);
             if elem.tag:
                 print(item)
                 print(arr2[i])

                 elem.text = elem.text.replace(item, arr2[i])



    f.seek(0)
    f.write(ET.tostring(tree, encoding='UTF-8', xml_declaration=True))
    f.truncate()

我正在使用数组。我可以将值从文件复制到数组中。对于大文件,它需要更好的代码。

1 个答案:

答案 0 :(得分:0)

考虑使用XSLT,这是一种用于重构XML文件的特殊用途声明性语言。像大多数其他通用语言一样,包括ASP,C#,Java,PHP,Perl,VB,Python维护着一个XSLT 1.0处理器,特别是在其lxml模块中。

为了您的目的,您可以动态创建可用于转换的XSLT字符串。只需要循环遍历csv数据:

import csv
import lxml.etree as ET

# READ IN CSV DATA AND APPEND TO LIST
csvdata = []
with open('file.csv'), 'r') as csvfile:
    readCSV = csv.reader(csvfile)
    for line in readCSV:
        csvdata.append(line)

# DYNAMICALLY CREATE XSLT STRING
xsltstr = '''<xsl:transform xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0">
            <xsl:output version="1.0" encoding="UTF-8" indent="yes" />
            <xsl:strip-space elements="*"/>

              <!-- Identity Transform -->
              <xsl:template match="@*|node()">
                <xsl:copy>
                  <xsl:apply-templates select="@*|node()"/>
                </xsl:copy>
              </xsl:template>

        '''

for i in range(len(csvdata)):
    xsltstr = xsltstr + \
              '''<xsl:template match="name[.='{0}']">
                  <xsl:element name="{1}">
                     <xsl:apply-templates />
                  </xsl:element>
              </xsl:template>

              '''.format(*csvdata[i])

xsltstr = xsltstr + '</xsl:transform>'

# PARSE ORIGINAL FILE AND XSLT STRING
dom = ET.parse('jolly.xml')
xslt = ET.fromstring(xsltstr)

# TRANSFORM XML
transform = ET.XSLT(xslt)
newdom = transform(dom)

# OUTPUT FINAL XML (PRETTY PRINT)
tree_out = ET.tostring(newdom, encoding='UTF-8', pretty_print=True,  xml_declaration=True)

xmlfile = open('final.xml'),'wb')
xmlfile.write(tree_out)
xmlfile.close()

<强>输出

<?xml version='1.0' encoding='UTF-8'?>
<products>
  <product>
    <ValueX>Value1</ValueX>
  </product>
  <product>
    <ValueY>Value2</ValueY>
  </product>
  <product>
    <ValueZ>Value3</ValueZ>
  </product>
</products>