xml 文件的根目录为 NONE 为什么?

root of the xml file is giving as NONE why?(xml 文件的根目录为 NONE 为什么?)
本文介绍了xml 文件的根目录为 NONE 为什么?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

from elementtree import ElementTree as ET
tree= ET.parse(r'N:myinternworkfiles xml of bus systems	estonieeebus.xml','r')
root= tree.getroot()
print(root)

现在错误在输出中,因为它没有给出任何结果

now the error is in output as it is giving none

<?xml version="1.0" encoding="UTF-8"?>
<bookstore>
<book category="cooking">
<author>Giada De Laurentiis</author>
</book>
</bookstore>

推荐答案

下面的代码就足够了.您不需要在开始时打开文件.如果您提供正确的路径,ET.parse 将为您完成.

The following code is enough. You don't need to open the file at beginning. ET.parse will do it for you if you provide the correct path.

在您的代码中,您将库导入为 ET,然后通过打开文件重新分配相同的变量.所以 ET.parse() 指的是你的文件对象而不是你的 elementtree 库.

In your code you import the library as ET and then reassign the same variable by opening the file. So ET.parse() referes to your file object not to your elementtree library.

import xml.etree.ElementTree as ET

tree= ET.parse('note.xml')
root= tree.getroot()
print(root.tag) # to print root

这篇关于xml 文件的根目录为 NONE 为什么?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

本站部分内容来源互联网,如果有图片或者内容侵犯了您的权益,请联系我们,我们会在确认后第一时间进行删除!

相关文档推荐

groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)