有200多个XML文档,每个文档类似如下:
<?xml version="1.0"?>
<VehicleInfo>
<FileHeader>
<ScaleInfo>
<SN>H00120030101081526</SN>
<UserName>盛隆钢铁</UserName>
<ScaleName>2#</ScaleName>
<ScaleID>H001</ScaleID>
<ScaleType>铁水秤开关</ScaleType>
<WeighingType>铁水秤开关</WeighingType>
<MeasureTime>2003-01-01 08:15:26</MeasureTime>
<NodeNumber>2</NodeNumber>
<WaveFile>20030101081424.wave</WaveFile>
<VideoFile>20030101081424.wave</VideoFile>
<Orientation>右方向来车<<<<<<</Orientation>
<OperatorName>Admin</OperatorName>
<SUMWeight>0</SUMWeight>
</ScaleInfo>
</FileHeader>
<FileBody>
<Node>
<ID>1</ID>
<_DateTime>2003-1-1 8:14:25</_DateTime>
<VehicleType />
<VehicleCardID />
<Speed>17.5</Speed>
<Weight>3.12</Weight>
<FrontAxisWeight>.00</FrontAxisWeight>
<BackAxisWeight>.00</BackAxisWeight>
<InsideWheel1>.00</InsideWheel1>
<OutsideWheel1>.00</OutsideWheel1>
<InsideWheel2>.00</InsideWheel2>
<OutsideWheel2>.00</OutsideWheel2>
<InsideWheel3>.00</InsideWheel3>
<OutsideWheel3>.00</OutsideWheel3>
<InsideWheel4>.00</InsideWheel4>
<OutsideWheel4>.00</OutsideWheel4>
<Temperature>0123</Temperature>
<Humidity>0123</Humidity>
<PIC1>_1.bmp</PIC1>
<PIC2>_2.bmp</PIC2>
<PIC3>_3.bmp</PIC3>
<PIC4>_4.bmp</PIC4>
</Node>
<Node>
<ID>2</ID>
<_DateTime>2003-1-1 8:14:26</_DateTime>
<VehicleType />
<VehicleCardID />
<Speed>15.8</Speed>
<Weight>4.77</Weight>
<FrontAxisWeight>.00</FrontAxisWeight>
<BackAxisWeight>.00</BackAxisWeight>
<InsideWheel1>.00</InsideWheel1>
<OutsideWheel1>.00</OutsideWheel1>
<InsideWheel2>.00</InsideWheel2>
<OutsideWheel2>.00</OutsideWheel2>
<InsideWheel3>.00</InsideWheel3>
<OutsideWheel3>.00</OutsideWheel3>
<InsideWheel4>.00</InsideWheel4>
<OutsideWheel4>.00</OutsideWheel4>
<Temperature>0123</Temperature>
<Humidity>0123</Humidity>
<PIC1>_1.bmp</PIC1>
<PIC2>_2.bmp</PIC2>
<PIC3>_3.bmp</PIC3>
<PIC4>_4.bmp</PIC4>
</Node>
</FileBody>
</VehicleInfo>
现在要提取MeasureTime、NodeNumber、Orientation以及每个Node下面的Weight,最后计算左方向和右方向总次数和总节数,以及每个方向的总重与差。如果使用C#,代码不知道要多长,那就用Python吧~
#!/usr/bin/env python
#-*- coding:utf-8 -*-
__author__ = 'liulixiang' from bs4 import BeautifulSoup
import glob left, left_times, left_weight = 0, 0, 0.0
right, right_times, right_weight = 0, 0, 0.0
files = sorted(glob.glob(r'E:\工作\work-documents\2013凤矿计量系统\Debug\WY.WeightBridge.Data\*.xml'))
for index, filename in enumerate(files, 1):
file = open(filename, encoding='utf-8').read()
soup = BeautifulSoup(file, 'xml')
print(index, '时间', soup.MeasureTime.string, '节数:', int(soup.NodeNumber.string), '方向:', soup.Orientation.string)
for node in soup.FileBody.findChildren('Node'):
print('\t序号:', node.ID.string, '重量:', node.Weight.string)
if soup.Orientation.string == '左方向来车>>>>>>':
left_weight += float(node.Weight.string)
elif soup.Orientation.string == '右方向来车<<<<<<':
right_weight += float(node.Weight.string)
if soup.Orientation.string == '左方向来车>>>>>>':
left += int(soup.NodeNumber.string)
left_times += 1
elif soup.Orientation.string == '右方向来车<<<<<<':
right += int(soup.NodeNumber.string)
right_times += 1
print('\n') print('左方向来车共{}次,共{}节,总皮重{:.2f}'.format(left_times, left, left_weight))
print('右方向来车共{}次,共{}节, 总毛重{:.2f}'.format(right_times, right, right_weight))
print('总净重:%.2f' % (right_weight - left_weight))
注意:
1、soup = BeautifulSoup(file, 'xml'),因为BeautifulSoup默认解析HTML,所以解析XML时需要声明。
2、BS解析XML依赖lxml,windows下可以到这里下载二进制版本的lxml库。
3、BS的children()返回的是NavigableString,用findChildren可以返回tag。
这世上诱惑(五花八门的编程语言)太多,请抵制诱惑,今天这个语言流行(go说你呢)用这个,明天那个语言流行就用那个。人应该驾驭语言,而非语言来驾驭人。自勉!