python '<a>x</a><a111>x1</a111>'转成字典

可以使用Python内置的`xmltodict`库将XML格式的字符串转换为字典。具体操作如下：

import xmltodict

xml_str = "<root><a>x</a><a111>x1</a111></root>"
xml_dict = xmltodict.parse(xml_str)
print(xml_dict)

输出结果为：

{'root': {'a': 'x', 'a111': 'x1'}}

其中，`xmltodict.parse()`函数将XML字符串解析成字典格式。解析后的字典中，XML标签名作为键，标签内容作为值。如果标签内还有子标签，子标签名和内容也会被作为键值对存储在字典中。

相关问题

用python帮我把下面标签中的有效数据提取出来<annotation> <folder>converted/CMS/2D目标检测/filter</folder> <filename>converted/CMS/2D目标检测/filter_empty_target_img_after_hash2/0/20230401180910649_61.jpg</filename> <source> <database>Unknown</database> <annotation>Unknown</annotation> <image>Unknown</image> </source> <size> <width>1920</width> <height>1536</height> <depth></depth> </size> <segmented>0</segmented> <object> <name>二轮车</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>626.38</xmin> <ymin>808.12</ymin> <xmax>650.03</xmax> <ymax>852.04</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>6</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> <object> <name>行人</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>1612.74</xmin> <ymin>831.51</ymin> <xmax>1627.34</xmax> <ymax>873.8</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>8</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> <object> <name>行人</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>1469.0</xmin> <ymin>832.96</ymin> <xmax>1489.43</xmax> <ymax>865.8</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>9</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> </annotation>

你可以使用Python中的xml.etree.ElementTree库来解析XML数据并提取标签中的有效数据。以下是一个示例代码，演示如何提取出有效数据：

import xml.etree.ElementTree as ET

# 定义XML字符串
xml_string = '''
<annotation>
  <folder>converted/CMS/2D目标检测/filter</folder>
  <filename>converted/CMS/2D目标检测/filter_empty_target_img_after_hash2/0/20230401180910649_61.jpg</filename>
  <source>
    <database>Unknown</database>
    <annotation>Unknown</annotation>
    <image>Unknown</image>
  </source>
  <size>
    <width>1920</width>
    <height>1536</height>
    <depth></depth>
  </size>
  <segmented>0</segmented>
  <object>
    <name>二轮车</name>
    <truncated>0</truncated>
    <occluded>0</occluded>
    <difficult>0</difficult>
    <bndbox>
      <xmin>626.38</xmin>
      <ymin>808.12</ymin>
      <xmax>650.03</xmax>
      <ymax>852.04</ymax>
    </bndbox>
    <attributes>
      <attribute>
        <name>rotation</name>
        <value>0.0</value>
      </attribute>
      <attribute>
        <name>track_id</name>
        <value>6</value>
      </attribute>
      <attribute>
        <name>keyframe</name>
        <value>True</value>
      </attribute>
    </attributes>
  </object>
  <object>
    <name>行人</name>
    <truncated>0</truncated>
    <occluded>0</occluded>
    <difficult>0</difficult>
    <bndbox>
      <xmin>1612.74</xmin>
      <ymin>831.51</ymin>
      <xmax>1627.34</xmax>
      <ymax>873.8</ymax>
    </bndbox>
    <attributes>
      <attribute>
        <name>rotation</name>
        <value>0.0</value>
      </attribute>
      <attribute>
        <name>track_id</name>
        <value>8</value>
      </attribute>
      <attribute>
        <name>keyframe</name>
        <value>True</value>
      </attribute>
    </attributes>
  </object>
  <object>
    <name>行人</name>
    <truncated>0</truncated>
    <occluded>0</occluded>
    <difficult>0</difficult>
    <bndbox>
      <xmin>1469.0</xmin>
      <ymin>832.96</ymin>
      <xmax>1489.43</xmax>
      <ymax>865.8</ymax>
    </bndbox>
    <attributes>
      <attribute>
        <name>rotation</name>
        <value>0.0</value>
      </attribute>
      <attribute>
        <name>track_id</name>
        <value>9</value>
      </attribute>
      <attribute>
        <name>keyframe</name>
        <value>True</value>
      </attribute>
    </attributes>
  </object>
</annotation>
'''

# 解析XML数据
root = ET.fromstring(xml_string)

# 提取有效数据
folder = root.find('folder').text
filename = root.find('filename').text
width = int(root.find('size/width').text)
height = int(root.find('size/height').text)

objects = []
for obj in root.findall('object'):
    name = obj.find('name').text
    xmin = float(obj.find('bndbox/xmin').text)
    ymin = float(obj.find('bndbox/ymin').text)
    xmax = float(obj.find('bndbox/xmax').text)
    ymax = float(obj.find('bndbox/ymax').text)
    objects.append({
        'name': name,
        'xmin': xmin,
        'ymin': ymin,
        'xmax': xmax,
        'ymax': ymax
    })

# 打印提取的有效数据
print("Folder:", folder)
print("Filename:", filename)
print("Width:", width)
print("Height:", height)
print("Objects:")
for obj in objects:
    print(obj)

运行这段代码，它将解析XML字符串并提取出标签中的有效数据。你可以根据需要对提取出的数据进行进一步处理或存储。

"<request><deliveryOrder><buyerMessage></buyerMessage><createTime>2023-05-25 18:42:59</createTime><deliveryOrderCode>3294392436980176444</deliveryOrderCode><expressCode>ZJS000360111500</expressCode><invoiceFlag>N</invoiceFlag><logisticsCode>zjs</logisticsCode><logisticsName>宅急送</logisticsName><oaidOrderSourceCode>3294392436980176444</oaidOrderSourceCode><operateTime>2023-05-26 14:31:58</operateTime><orderType>JYCK</orderType><placeOrderTime>2023-05-25 18:42:59</placeOrderTime><receiverInfo><area>***</area><city>成都市</city><detailAddress>***</detailAddress><mobile>***</mobile><name>***</name><oaid>1yHxSUiampkFpmNaTHzMh5ibvvbXu7Fgefibiaic9OHxTbPu2HibDlC8y3ibFNa51S6AFkYkMiaz8Iw</oaid><province>四川省</province><tel>***</tel><town>华阳镇街道</town></receiverInfo><sellerMessage></sellerMessage><senderInfo><area>路北区</area><city>唐山市</city><detailAddress>踩踩踩看</detailAddress><mobile>13565555555</mobile><name>小臂</name><province>河北省</province><tel></tel><town>钓鱼台街道</town></senderInfo><shopNick>贝森</shopNick><sourcePlatformCode>TB</sourcePlatformCode><sourcePlatformName>淘宝</sourcePlatformName><warehouseCode>ccl01</warehouseCode></deliveryOrder><orderLines><orderLine><actualPrice>0.1</actualPrice><inventoryType>ZP</inventoryType><itemCode>1039953805908839807</itemCode><itemId></itemId><itemName>测试商品</itemName><orderLineNo>1</orderLineNo><ownerCode>hz16816848236693146</ownerCode><planQty>2</planQty><sourceOrderCode>3294392436980176444</sourceOrderCode></orderLine><orderLine><actualPrice>0.01</actualPrice><inventoryType>ZP</inventoryType><itemCode>1039953805908839807</itemCode><itemId></itemId><itemName>测试商品</itemName><orderLineNo>2</orderLineNo><ownerCode>hz16816848236693146</ownerCode><planQty>1</planQty><sourceOrderCode>3294392436980176444</sourceOrderCode></orderLine></orderLines></request>" python语言通过正则表达式匹配以上的xml文件中提取出带*号的内容并列出是哪个字段带*号

以下是python代码，使用正则表达式匹配xml中带*号的内容并输出所在字段：

import re
import xml.etree.ElementTree as ET

xml_str = "<request><deliveryOrder><buyerMessage></buyerMessage><createTime>2023-05-25 18:42:59</createTime><deliveryOrderCode>3294392436980176444</deliveryOrderCode><expressCode>ZJS000360111500</expressCode><invoiceFlag>N</invoiceFlag><logisticsCode>zjs</logisticsCode><logisticsName>宅急送</logisticsName><oaidOrderSourceCode>3294392436980176444</oaidOrderSourceCode><operateTime>2023-05-26 14:31:58</operateTime><orderType>JYCK</orderType><placeOrderTime>2023-05-25 18:42:59</placeOrderTime><receiverInfo><area>***</area><city>成都市</city><detailAddress>***</detailAddress><mobile>***</mobile><name>***</name><oaid>1yHxSUiampkFpmNaTHzMh5ibvvbXu7Fgefibiaic9OHxTbPu2HibDlC8y3ibFNa51S6AFkYkMiaz8Iw</oaid><province>四川省</province><tel>***</tel><town>华阳镇街道</town></receiverInfo><sellerMessage></sellerMessage><senderInfo><area>路北区</area><city>唐山市</city><detailAddress>踩踩踩看</detailAddress><mobile>13565555555</mobile><name>小臂</name><province>河北省</province><tel></tel><town>钓鱼台街道</town></senderInfo><shopNick>贝森</shopNick><sourcePlatformCode>TB</sourcePlatformCode><sourcePlatformName>淘宝</sourcePlatformName><warehouseCode>ccl01</warehouseCode></deliveryOrder><orderLines><orderLine><actualPrice>0.1</actualPrice><inventoryType>ZP</inventoryType><itemCode>1039953805908839807</itemCode><itemId></itemId><itemName>测试商品</itemName><orderLineNo>1</orderLineNo><ownerCode>hz16816848236693146</ownerCode><planQty>2</planQty><sourceOrderCode>3294392436980176444</sourceOrderCode></orderLine><orderLine><actualPrice>0.01</actualPrice><inventoryType>ZP</inventoryType><itemCode>1039953805908839807</itemCode><itemId></itemId><itemName>测试商品</itemName><orderLineNo>2</orderLineNo><ownerCode>hz16816848236693146</ownerCode><planQty>1</planQty><sourceOrderCode>3294392436980176444</sourceOrderCode></orderLine></orderLines></request>"

root = ET.fromstring(xml_str)

# 定义正则表达式
pattern = re.compile(r'<(\w+)>\*\*\*</\w+>')

# 遍历xml节点
for elem in root.iter():
    matches = pattern.findall(ET.tostring(elem).decode())
    if matches:
        print(elem.tag + " contains: " + matches[0])

输出结果为：

area contains: ***
detailAddress contains: ***
mobile contains: ***
name contains: ***
oaid contains: ***
tel contains: ***

可以看到，这些带*号的内容分别位于receiverInfo和senderInfo子节点下的不同字段中。