Example sharing of how Python uses lxml to read and write xml format files

黄舟
Release: 2017-08-11 14:08:11
Original
1881 people have browsed it

This article mainly introduces python to use lxml to read and write files in xml format. It has certain reference value. Interested friends can refer to

before converting the data set format. Sometimes you need to convert json to xml file, and it is very convenient to use the lxml package.

1. Write xml file

a) Test.xml output using etree and 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)
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The content of the file is as follows:

"

If you need to add other tags on the basis of anno_tree, just use append:


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)
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Above The output becomes:


<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>
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b) Use etree and 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 =&#39;800&#39; # 必须用string
etree.SubElement(size, "height").text = &#39;600&#39;
etree.SubElement(size, "depth").text = &#39;3&#39;
etree.SubElement(annotation, "segmented").text = &#39;0&#39;
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 = &#39;0&#39;
doc = etree.ElementTree(annotation)
doc.write(open("test.xml", "w"), pretty_print=True)
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2. Read xml

Here you can use xpath to directly extract the value of the required element. For example, if you want to get the x, y coordinates of the test.xml file above:

##. #
tree = etree.parse("test.xml")
# get bbox
for bbox in tree.xpath(&#39;//bndbox&#39;):  # 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
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