发布于 2017-10-19 12:57:11 | 181 次阅读 | 评论: 0 | 来源: 网友投递

这里有新鲜出炉的Python3 Cookbook中文版,程序狗速度看过来!

Python编程语言

Python 是一种面向对象、解释型计算机程序设计语言,由Guido van Rossum于1989年底发明,第一个公开发行版发行于1991年。Python语法简洁而清晰,具有丰富和强大的类库。它常被昵称为胶水语言,它能够把用其他语言制作的各种模块(尤其是C/C++)很轻松地联结在一起。


这篇文章主要为大家详细介绍了python利用lxml读写xml格式的文件,具有一定的参考价值,感兴趣的小伙伴们可以参考一下

之前在转换数据集格式的时候需要将json转换到xml文件,用lxml包进行操作非常方便。

1. 写xml文件

a) 用etree和objectify


from lxml import etree, objectify

E = objectify.ElementMaker(annotate=False)
anno_tree = E.annotation(
  E.folder('VOC2014_instance'),
  E.filename("test.jpg"),
  E.source(
    E.database('COCO'),
    E.annotation('COCO'),
    E.image('COCO'),
    E.url("http://test.jpg")
  ),
  E.size(
    E.width(800),
    E.height(600),
    E.depth(3)
  ),
  E.segmented(0),
)

etree.ElementTree(anno_tree).write("text.xml", pretty_print=True)

输出的test.xml文件内容如下:

```

如果需要在anno_tree的基础上加其他标签的话用append即可:


E2 = objectify.ElementMaker(annotate=False)
anno_tree2 = E2.object(
  E.name("person"),
  E.bndbox(
    E.xmin(100),
    E.ymin(200),
    E.xmax(300),
    E.ymax(400)
  ),
  E.difficult(0)
)
anno_tree.append(anno_tree2)

上面的输出就变成了:


<annotation>
 <folder>VOC2014_instance/person</folder>
 <filename>test.jpg</filename>
 <source>
  <database>COCO</database>
  <annotation>COCO</annotation>
  <image>COCO</image>
  <url>http://test.jpg</url>
 </source>
 <size>
  <width>800</width>
  <height>600</height>
  <depth>3</depth>
 </size>
 <segmented>0</segmented>
 <object>
  <name>person</name>
  <bndbox>
   <xmin>100</xmin>
   <ymin>200</ymin>
   <xmax>300</xmax>
   <ymax>400</ymax>
  </bndbox>
  <difficult>0</difficult>
 </object>
</annotation>

b) 用etree和SubElement


annotation = etree.Element("annotation")
etree.SubElement(annotation, "folder").text = "VOC2014_instance"
etree.SubElement(annotation, "filename").text = "test.jpg"
source = etree.SubElement(annotation, "source")
etree.SubElement(source, "database").text = "COCO"
etree.SubElement(source, "annotation").text = "COCO"
etree.SubElement(source, "image").text = "COCO"
etree.SubElement(source, "url").text = "http://test.jpg"
size = etree.SubElement(annotation, "size")
etree.SubElement(size, "width").text ='800' # 必须用string
etree.SubElement(size, "height").text = '600'
etree.SubElement(size, "depth").text = '3'
etree.SubElement(annotation, "segmented").text = '0'
key_object = etree.SubElement(annotation, "object")
etree.SubElement(key_object, "name").text = “person”
bndbox = etree.SubElement(key_object, "bndbox")
etree.SubElement(bndbox, "xmin").text = str(100)
etree.SubElement(bndbox, "ymin").text = str(200)
etree.SubElement(bndbox, "xmax").text = str(300)
etree.SubElement(bndbox, "ymax").text = str(400)
etree.SubElement(key_object, "difficult").text = '0'
doc = etree.ElementTree(annotation)
doc.write(open("test.xml", "w"), pretty_print=True)

2. 读xml

这里可以用xpath直接提取所需的元素的值。比如想要获取上面test.xml文件的x, y坐标:


tree = etree.parse("test.xml")
# get bbox
for bbox in tree.xpath('//bndbox'):  # 获取bndbox元素的内容
  for corner in bbox.getchildren(): # 便利bndbox元素下的子元素
    print corner.text  # string类型


参考

http://lxml.de/tutorial.html

https://stackoverflow.com/questions/12657043/parse-xml-with-lxml-extract-element-value

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持PHPERZ。



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