我正在将XML文件解析为pandas数据帧。使用下面的代码我可以成功地完成所有代码，但是这使用了完整XML的编辑版本。完整的XML在主数据表之上有一堆摘要数据，请参阅完整的XML here。我需要开始提取的行是在XML中的第641行。
XML示例：
<?xml version="1.0"?>
<?mso-application progid="Excel.Sheet"?>
<Workbook xmlns="urn:schemas-microsoft-com:office:spreadsheet" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns:ss="urn:schemas-microsoft-com:office:spreadsheet" xmlns:html="http://www.w3.org/TR/REC-html40">
<Styles> ### approx. 300 lines of styling ### </Styles>
<Worksheet ss:Name="MetasoftStudio">
<Table>
<Row/>
<Row>
<Cell ss:StyleID="HeadTableTitle" ss:MergeAcross="1"><Data ss:Type="String">CPET Results</Data></Cell>
</Row>
<Row/>
<Row>
<Cell ss:StyleID="HeadTableParameterName" ss:MergeAcross="1"><Data ss:Type="String">Operator</Data></Cell>
<Cell ss:StyleID="HeadTableParameterValue" ss:MergeAcross="7"><Data ss:Type="String"></Data></Cell>
</Row>
<Row/>
<Row/>
<Row>
<Cell ss:StyleID="HeadTableTitle" ss:MergeAcross="1"><Data ss:Type="String">Patient data</Data></Cell>
</Row>
<Row/>
<Row>
<Cell ss:StyleID="HeadTableTitle" ss:MergeAcross="1"><Data ss:Type="String">Administrative Data</Data></Cell>
</Row>
<Row>
<Cell ss:StyleID="HeadTableParameterName" ss:MergeAcross="1"><Data ss:Type="String">ID</Data></Cell>
<Cell ss:StyleID="HeadTableParameterValue" ss:MergeAcross="7"><Data ss:Type="String">B013</Data></Cell>
</Row>
<Row>
<Cell ss:StyleID="HeadTableParameterName" ss:MergeAcross="1"><Data ss:Type="String">Title</Data></Cell>
<Cell ss:StyleID="HeadTableParameterValue" ss:MergeAcross="7"><Data ss:Type="String"></Data></Cell>
</Row>
<Row>
<Cell ss:StyleID="HeadTableParameterName" ss:MergeAcross="1"><Data ss:Type="String">Last Name</Data></Cell>
<Cell ss:StyleID="HeadTableParameterValue" ss:MergeAcross="7"><Data ss:Type="String">Data</Data></Cell>
</Row>
### Skipping few hundred lines ###
<Row>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">Variable</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">Unit</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">Rest</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">Warm Up</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">AT</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">AT % Max</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">RCP</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">RCP % Max</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">V'O2peak</Data></Cell>
<Cell ss:StyleID="SummaryTableHead"><Data ss:Type="String">Absolute Maximum Values</Data></Cell>
</Row>
<Row>
<Cell ss:StyleID="SummaryTableParameters"><Data ss:Type="String">V'O2</Data></Cell>
<Cell ss:StyleID="SummaryTableUnits"><Data ss:Type="String">L/min</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">0.34</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">1.83</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">76</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">2.28</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">94</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">2.42</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">2.59</Data></Cell>
</Row>
### Skipping some more lines ###
<Row>
<Cell ss:StyleID="SummaryTableParameters"><Data ss:Type="String">Borg</Data></Cell>
<Cell ss:StyleID="SummaryTableUnits"><Data ss:Type="String"></Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
<Cell ss:StyleID="SummaryTableValues"><Data ss:Type="String">-</Data></Cell>
</Row>
<Row/>
<Row/>
###### NEED TO START EXTRACTING FROM THIS ROW ######
<Row>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">t</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">Phase</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">Marker</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'O2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'CO2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'E</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'E/V'O2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'E/V'CO2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">HR</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">RER</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">V'O2/kg</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">PetO2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">PetCO2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">ExCO2</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">BF</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">WR</Data></Cell>
<Cell ss:StyleID="MeasurementDataTableHead"><Data ss:Type="String">Borg</Data></Cell>
</Row>
### XML File continues the same from here with the same structure ###
我目前的代码：
from lxml import etree
import pandas as pd
with open('cortex.xml', 'r') as infile:
root = etree.parse(infile)
namespaces = {'o': 'urn:schemas-microsoft-com:office:office',
'x': 'urn:schemas-microsoft-com:office:excel',
'ss': 'urn:schemas-microsoft-com:office:spreadsheet'}
data = []
ws = root.xpath('/ss:Workbook/ss:Worksheet', namespaces=namespaces)
if len(ws) > 0:
tables = ws[0].xpath('./ss:Table', namespaces=namespaces)
if len(tables) > 0:
rows = tables[0].xpath('./ss:Row', namespaces=namespaces)
for row in rows:
temp = []
cells = row.xpath('./ss:Cell/ss:Data', namespaces=namespaces)
for cell in cells:
temp.append(cell.text)
data.append(temp)
df = pd.DataFrame(data[2:], columns=data[0])
我如何编辑当前代码以仅提取与主数据表中<Row>标记相对应的数据？顶部的摘要数据量可能会有所不同，所以硬编码起点不是一个选项。
主数据的第一个<Cell>中的<Row>具有属性StyleID="MeasurementDataTableHead"，是否可以基于此搜索并从那里开始提取？我完全被这个困扰了。
答案 0 :(得分：1)
如果解析表总是最后一个，你可以创建帮助器布尔值，如果值为True（解析表的第一个值），则设置为t并附加：
from lxml import etree
import pandas as pd
with open('cortex_full.xml', 'r') as infile:
root = etree.parse(infile)
namespaces = {'o': 'urn:schemas-microsoft-com:office:office',
'x': 'urn:schemas-microsoft-com:office:excel',
'ss': 'urn:schemas-microsoft-com:office:spreadsheet'}
data = []
parse = False
ws = root.xpath('/ss:Workbook/ss:Worksheet', namespaces=namespaces)
if len(ws) > 0:
tables = ws[0].xpath('./ss:Table', namespaces=namespaces)
if len(tables) > 0:
rows = tables[0].xpath('./ss:Row', namespaces=namespaces)
for row in rows:
temp = []
cells = row.xpath('./ss:Cell/ss:Data', namespaces=namespaces)
for cell in cells:
if cell.text == 't':
parse = True
if parse:
temp.append(cell.text)
if parse:
data.append(temp)
df = pd.DataFrame(data[2:], columns=data[0])
print (df.head())
t Phase Marker V'O2 V'CO2 \
0 0:00:10 Rest None 0.251524741119069 0.236014510176694
1 0:00:20 Rest None 0.434384403499744 0.411231246288168
2 0:00:30 Rest None 0.343945761508378 0.341020990667946
3 0:00:40 Rest None 0.220729503668137 0.196421701276079
4 0:00:50 Rest None 0.257787497144625 0.217026849651075
V'E V'E/V'O2 V'E/V'CO2 HR RER \
0 11.89836 36.3356700392092 38.7235513323219 0 0.938335167851211
1 15.59965 31.7517155056147 33.5394017952007 0 0.946698921450597
2 14.8086111111111 36.8447951082032 37.1607949595411 0 0.991496418424796
3 9.04168333333334 29.5090743425324 33.1609149651866 0 0.889875154938032
4 9.99203333333333 28.3149237809555 33.6328585383268 0 0.841882760238438
V'O2/kg PetO2 PetCO2 ExCO2 \
0 4.42046996694321 115.479326671601 28.7635623488774 -0.0145537951547244
1 7.63417229349286 111.689054293116 33.3331430668641 -0.0219190689603747
2 6.04474097554267 117.675559264742 29.9207171560161 -0.00289989981300173
3 3.87925314003756 115.526557480056 28.6691007319681 -0.0216309094198363
4 4.53053597793717 109.339321572498 32.0697189407024 -0.0343156864209755
BF WR Borg
0 19.16 0 None
1 12.55 0 None
2 14.8333333333333 0 None
3 17.5566666666667 0 None
4 18.7 0 None