pattern = re.compile(r'<tag>.*</tag>')改成提取特定标签
时间: 2023-08-09 08:05:29 浏览: 67
如果要匹配特定标签,可以将`<tag>`和`</tag>`替换为具体的标签名称,如`<p>`和`</p>`用于匹配段落标签之间的文本。示例代码如下:
```python
import re
pattern = re.compile(r'<p>.*</p>') # 匹配<p>标签之间的文本
text = '<p>This is a paragraph.</p><p>This is another paragraph.</p>'
result = re.findall(pattern, text) # 返回所有匹配结果的列表
print(result) # 输出:['<p>This is a paragraph.</p>', '<p>This is another paragraph.</p>']
```
在上面的示例代码中,我们定义了一个正则表达式模式`<p>.*</p>`,用于匹配`<p>`标签之间的任何文本。然后,我们使用`re.findall()`函数和匹配模式对文本进行匹配,并返回所有匹配结果的列表。最后,我们输出匹配结果。
相关问题
"<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:
```python
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。
import re with open('04-0.txt', 'r') as f: lines = f.readlines() pattern = re.compile(r'<ratio_avg>.*</ratio_avg>') tag_lines = [line for line in lines if pattern.match(line)] with open('04-0-ratio.txt', 'w') as f: f.writelines(tag_lines)为什么不起作用
这段代码看起来应该是想从文件中读取所有行,然后匹配包含`<ratio_avg>`标签的行,最后将匹配到的行写入到新的文件中。但是这段代码可能出现一些问题,导致它没有按照预期工作。以下是一些可能存在的问题和解决方案:
1. 文件路径问题:请确保文件路径是正确的。如果文件路径不正确,代码将无法读取或写入文件。
2. 使用正则表达式:这段代码使用了正则表达式来匹配包含`<ratio_avg>`标签的行。但是,正则表达式可能不正确,导致它无法匹配到任何行。你可以尝试在正则表达式中使用`.*?`来匹配标签之间的任何字符,例如:
```
pattern = re.compile(r'<ratio_avg>.*?</ratio_avg>')
```
3. 匹配问题:这段代码使用了`pattern.match()`方法来匹配行,但是这个方法只会匹配行的开头。如果`<ratio_avg>`标签在行的中间或结尾,那么这个方法就无法匹配到它。你可以尝试使用`pattern.search()`方法来匹配行中的任何位置,例如:
```
tag_lines = [line for line in lines if pattern.search(line)]
```
4. 文件编码问题:如果文件使用了非UTF-8编码,那么代码可能无法正确读取或写入文件。你可以尝试使用`open()`函数的`encoding`参数来指定文件编码,例如:
```
with open('04-0.txt', 'r', encoding='gbk') as f:
lines = f.readlines()
```
尝试解决这些问题,看看代码是否可以正常工作。