<7510E>是什么意思
时间: 2023-08-21 13:02:04 浏览: 31
<7510E> 是交换机的提示符(prompt),它表示您当前登录到的交换机设备的名称。在命令行界面中,提示符通常用于指示您可以输入命令的位置。
在这种情况下,<7510E> 可能是某个特定交换机型号或设备的名称。不同的交换机或设备可能具有不同的提示符格式和标识符。因此,<7510E> 的确切含义取决于您所连接的交换机或设备。
相关问题
<td>2023058</td> <td>10 17 22 26 30 33 + 11</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td >0</td> </tr> <tr class="new"> <td>2023059</td> <td></td> <td>24</td> <td>10</td> <td>26</td> <td>31</td> <td>12</td> <td>33</td> <td>24</td> <td>08</td> <td>31</td> <td>24</td> <td></td> </tr> <tr> <td colspan="2">正确次数</td> <td>4</td> <td>3</td> <td>7</td> <td>2</td> <td>9</td> <td>3</td> <td>4</td> <td>5</td> <td>3</td> <td>6</td> <td></td> </tr> <tr> <td colspan="2">错误次数</td> <td>16</td> <td>17</td> <td>13</td> <td>18</td> <td>11</td> <td>17</td> <td>16</td> <td>15</td> <td>17</td> <td>14</td> <td></td> </tr> <tr> <td colspan="2">当前连对</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td></td> </tr> <tr> <td colspan="2">当前连错</td> <td>1</td> <td>4</td> <td>2</td> <td>4</td> <td>1</td> <td>7</td> <td>1</td> <td>2</td> <td>13</td> <td>3</td> <td></td> </tr> <tr> <td colspan="2">最大连对</td> <td>2</td> <td>1</td> <td>3</td> <td>1</td> <td>2</td> <td>1</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td></td> </tr> <tr> <td colspan="2">最大连错</td> <td>9</td> <td>7</td> <td>4</td> <td>12</td> <td>3</td> <td>7</td> <td>7</td> <td>4</td> <td>13</td> <td>3</td> <td></td> </tr> </table> </div> </div> </div> <script type="text/javascript" src="https://img.78500.cn/mobile/iscroll.js"></script> <script type="text/javascript"> var wrapper; function loaded() { wrapper = new iScroll("wrapper", { vScrollbar: false, hScrollbar: false, zoom: true, zoomMin: 0.5, zoomMax: 1 }); } document.addEventListener('touchmove', function (e) { e.preventDefault(); }, false); document.addEventListener('DOMContentLoaded', loaded, false); </script></body> </html> 对应上代码用正则表达式提取 以 <tr class="new"> 开头 </tr>结束 里面的数字
可以使用以下正则表达式进行提取:
```python
import re
text = """<table class="table table-bordered table-condensed"> <thead> <tr> <th>期号</th> <th colspan="11">开奖号码</th> <th>总和</th> </tr> </thead> <tbody> <tr class="new"> <td>2023058</td> <td>10 17 22 26 30 33 + 11</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>0</td> </tr> <tr class="new"> <td>2023059</td> <td></td> <td>24</td> <td>10</td> <td>26</td> <td>31</td> <td>12</td> <td>33</td> <td>24</td> <td>08</td> <td>31</td> <td>24</td> <td></td> </tr> <tr> <td colspan="2">正确次数</td> <td>4</td> <td>3</td> <td>7</td> <td>2</td> <td>9</td> <td>3</td> <td>4</td> <td>5</td> <td>3</td> <td>6</td> <td></td> </tr> <tr> <td colspan="2">错误次数</td> <td>16</td> <td>17</td> <td>13</td> <td>18</td> <td>11</td> <td>17</td> <td>16</td> <td>15</td> <td>17</td> <td>14</td> <td></td> </tr> <tr> <td colspan="2">当前连对</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td></td> </tr> <tr> <td colspan="2">当前连错</td> <td>1</td> <td>4</td> <td>2</td> <td>4</td> <td>1</td> <td>7</td> <td>1</td> <td>2</td> <td>13</td> <td>3</td> <td></td> </tr> <tr> <td colspan="2">最大连对</td> <td>2</td> <td>1</td> <td>3</td> <td>1</td> <td>2</td> <td>1</td> <td>2</td> <td>2</td> <td>2</td> <td>2</td> <td></td> </tr> <tr> <td colspan="2">最大连错</td> <td>9</td> <td>7</td> <td>4</td> <td>12</td> <td>3</td> <td>7</td> <td>7</td> <td>4</td> <td>13</td> <td>3</td> <td></td> </tr> </table> </div> </div> </div> <script type="text/javascript" src="https://img.78500.cn/mobile/iscroll.js"></script> <script type="text/javascript"> var wrapper; function loaded() { wrapper = new iScroll("wrapper", { vScrollbar: false, hScrollbar: false, zoom: true, zoomMin: 0.5, zoomMax: 1 }); } document.addEventListener('touchmove', function (e) { e.preventDefault(); }, false); document.addEventListener('DOMContentLoaded', loaded, false); </script></body> </html>"""
pattern = re.compile(r'<tr class="new">(.*?)</tr>', re.S)
matches = pattern.findall(text)
for match in matches:
print(match)
```
这将输出以下内容:
```
<td>2023058</td> <td>10 17 22 26 30 33 + 11</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>×</td> <td>0</td>
<td>2023059</td> <td></td> <td>24</td> <td>10</td> <td>26</td> <td>31</td> <td>12</td> <td>33</td> <td>24</td> <td>08</td> <td>31</td> <td>24</td> <td></td>
```
将<?xml version="1.0" encoding="UTF-8"?><list><item><userId>3f2bc360-adc1-4adf-bbd9-092939603af8</userId><eid>xuyang</eid><displayName>yang xu</displayName><type>registered</type></item><item><userId>5d7713fd-8133-40a8-94ad-3a145ed44df8</userId><eid>yisirui</eid><displayName>sirui yi</displayName><type>registered</type></item><item><userId>5dcaf2c0-fb7c-47fe-99bc-df21ede9011b</userId><eid>xiaosun</eid><displayName>xuyang sun</displayName><type>registered</type></item><item><userId>7ea060ff-d6e4-4552-9682-6483eb692a8f</userId><eid>alex</eid><displayName>alex Yu</displayName><type>registered</type></item><item><userId>e190e122-96ef-4b43-9b9e-11a08400c87f</userId><eid>wanglinkai</eid><displayName>cui xiai</displayName><type>registered</type></item><item><userId>e3d6d07e-7a34-47c0-969f-9401ddeab675</userId><eid>cuikairui</eid><displayName>kairui cui</displayName><type>registered</type></item><item><userId>f304a0e1-e0a9-4518-9099-4ef5c2cdb22f</userId><eid>xuchenxi</eid><displayName>chenxi xu</displayName><type>registered</type></item></list>转化为excel的Python代码
可以使用Python中的pandas库来将XML数据转化为Excel格式,以下是示例代码:
```python
import pandas as pd
from xml.etree import ElementTree
# 读取XML数据
xml_data = '''<?xml version="1.0" encoding="UTF-8"?>
<list>
<item>
<userId>3f2bc360-adc1-4adf-bbd9-092939603af8</userId>
<eid>xuyang</eid>
<displayName>yang xu</displayName>
<type>registered</type>
</item>
<item>
<userId>5d7713fd-8133-40a8-94ad-3a145ed44df8</userId>
<eid>yisirui</eid>
<displayName>sirui yi</displayName>
<type>registered</type>
</item>
<item>
<userId>5dcaf2c0-fb7c-47fe-99bc-df21ede9011b</userId>
<eid>xiaosun</eid>
<displayName>xuyang sun</displayName>
<type>registered</type>
</item>
<item>
<userId>7ea060ff-d6e4-4552-9682-6483eb692a8f</userId>
<eid>alex</eid>
<displayName>alex Yu</displayName>
<type>registered</type>
</item>
<item>
<userId>e190e122-96ef-4b43-9b9e-11a08400c87f</userId>
<eid>wanglinkai</eid>
<displayName>cui xiai</displayName>
<type>registered</type>
</item>
<item>
<userId>e3d6d07e-7a34-47c0-969f-9401ddeab675</userId>
<eid>cuikairui</eid>
<displayName>kairui cui</displayName>
<type>registered</type>
</item>
<item>
<userId>f304a0e1-e0a9-4518-9099-4ef5c2cdb22f</userId>
<eid>xuchenxi</eid>
<displayName>chenxi xu</displayName>
<type>registered</type>
</item>
</list>'''
root = ElementTree.fromstring(xml_data)
# 将XML数据转化为DataFrame
data = []
for item in root.findall('item'):
userId = item.find('userId').text
eid = item.find('eid').text
displayName = item.find('displayName').text
type_ = item.find('type').text
data.append([userId, eid, displayName, type_])
df = pd.DataFrame(data, columns=['userId', 'eid', 'displayName', 'type'])
# 将DataFrame保存为Excel文件
df.to_excel('data.xlsx', index=False)
```
运行该代码后,会在当前目录下生成一个名为"data.xlsx"的Excel文件,其中包含了XML数据中的各个字段。