我从内部网络抓取数据，它清楚地提取数据，因为当我'打印'时我可以看到XML内容。
ptdf_data1 = requests.get(r'https://zema.nam.nsroot.net:8443/datadirect/ZEData?command=LoadProfile&username=%(username)s&password=%(password)s&id=Citi&groupname=%(profile_group)s&profilename=%(profile_name)s&profileowner=%(profile_username)s&style=xml' % params, verify=False).content
我正在尝试使用漂亮的汤将数据解析为下面标记的列（每列将有大量价格数据列表）
soup = BeautifulSoup(ptdf_data1, "lxml")
ptdf_data = []
for ptdf_data_xml in soup.findAll(ptdf_data1): # 'Pdtf'): #
dt = ptdf_data_xml.Date
hr = ptdf_data_xml.CalendarHour
row = ptdf_data_xml.RowNumber
ram = ptdf_data_xml.RemainingAvailableMargin
be = ptdf_data_xml.BE
de = ptdf_data_xml.DE
fr = ptdf_data_xml.FR
nl = ptdf_data_xml.NL
ptdf_data += [(
int(row.text),
pytz.timezone('CET').localize(
datetime.datetime.strptime(dt.text, "%Y-%m-%dT%H:%M:%S")) +
datetime.timedelta(hours=int(hr.text) - 1),
float(deat.text),
float(fr.text),
float(nl.text),
float(be.text),
float(ram.text))]
ptdf_data = pandas.DataFrame(data=ptdf_data, columns=['Row', 'DateTime', 'DE', 'FR', 'NL', 'BE', 'RAM'])
ptdf = ptdf_data.set_index('DateTime')
但是我一直在用列标签获取一个空的数据帧。 正如所要求的XML代码是：
<?xml version="1.0" encoding="UTF-8"?>
<Profile>
<DataSource>
<IdNumber>1</IdNumber>
<Series>a</Series>
<DataSourceCaption>DE</DataSourceCaption>
<DataSourceName>EPEX</DataSourceName>
<DataReport>Power Spot Market Auction (Hourly)</DataReport>
<Observation>Data Value(AVERAGE)</Observation>
<Numerator>EUR</Numerator>
<Denominator>MWh</Denominator>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Country</Caption><Label>Germany/Austria</Label><Value>Germany/Austria</Value></Attribute>
<Attribute> <Caption>Data Type</Caption><Label>Price</Label><Value>Price</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>2</IdNumber>
<Series>b</Series>
<DataSourceCaption>FR</DataSourceCaption>
<DataSourceName>EPEX</DataSourceName>
<DataReport>Power Spot Market Auction (Hourly)</DataReport>
<Observation>Data Value(AVERAGE)</Observation>
<Numerator>EUR</Numerator>
<Denominator>MWh</Denominator>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Country</Caption><Label>France</Label><Value>France</Value></Attribute>
<Attribute> <Caption>Data Type</Caption><Label>Price</Label><Value>Price</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>3</IdNumber>
<Series>c</Series>
<DataSourceCaption>CH</DataSourceCaption>
<DataSourceName>EPEX</DataSourceName>
<DataReport>Power Spot Market Auction (Hourly)</DataReport>
<Observation>Data Value(AVERAGE)</Observation>
<Numerator>EUR</Numerator>
<Denominator>MWh</Denominator>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Country</Caption><Label>Switzerland</Label><Value>Switzerland</Value></Attribute>
<Attribute> <Caption>Data Type</Caption><Label>Price</Label><Value>Price</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>4</IdNumber>
<Series>d</Series>
<DataSourceCaption>ES</DataSourceCaption>
<DataSourceName>OMEL</DataSourceName>
<DataReport>Daily Market Hourly Prices</DataReport>
<Observation>Spain Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>5</IdNumber>
<Series>e</Series>
<DataSourceCaption>PT</DataSourceCaption>
<DataSourceName>OMEL</DataSourceName>
<DataReport>Daily Market Hourly Prices</DataReport>
<Observation>Portugal Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>6</IdNumber>
<Series>f</Series>
<DataSourceCaption>CZ</DataSourceCaption>
<DataSourceName>OTE</DataSourceName>
<DataReport>Day-Ahead Market CZ Result</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>7</IdNumber>
<Series>g</Series>
<DataSourceCaption>NL</DataSourceCaption>
<DataSourceName>APX</DataSourceName>
<DataReport>NL Power Day Ahead Market (Hourly)</DataReport>
<Observation>Value(AVERAGE)</Observation>
<Commodity>Energy</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Market Type</Caption><Label>prices</Label><Value>prices</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>8</IdNumber>
<Series>h</Series>
<DataSourceCaption>BE</DataSourceCaption>
<DataSourceName>Belpex</DataSourceName>
<DataReport>Daily Market Results Hourly</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>9</IdNumber>
<Series>i</Series>
<DataSourceCaption>IT</DataSourceCaption>
<DataSourceName>GME</DataSourceName>
<DataReport>Day Ahead Electricity Market Price</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Market</Caption><Label>MGP</Label><Value>MGP</Value></Attribute>
<Attribute> <Caption>Zone</Caption><Label>PUN</Label><Value>PUN</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>10</IdNumber>
<Series>j</Series>
<DataSourceCaption>IT NORD</DataSourceCaption>
<DataSourceName>GME</DataSourceName>
<DataReport>Day Ahead Electricity Market Price</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Market</Caption><Label>MGP</Label><Value>MGP</Value></Attribute>
<Attribute> <Caption>Zone</Caption><Label>NORD</Label><Value>NORD<</Attribute>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>11</IdNumber>
<Series>k</Series>
<DataSourceCaption>UK</DataSourceCaption>
<DataSourceName>N2EX</DataSourceName>
<DataReport>Day Ahead Auction Market Prices</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Filter></Filter>
</DataSource>
<DataSource>
<IdNumber>12</IdNumber>
<Series>l</Series>
<DataSourceCaption>NP</DataSourceCaption>
<DataSourceName>NordPool</DataSourceName>
<DataReport>Elspot System Prices</DataReport>
<Observation>Price(AVERAGE)</Observation>
<Commodity>Electricity</Commodity>
<Interval>Daily</Interval>
<Attribute> <Caption>Currency</Caption><Label>EUR</Label><Value>EUR</Value></Attribute>
<Filter></Filter>
</DataSource>
<DataSourceData>
<ResultSet>
<Date>02/24/2016</Date>
<Result>23.951</Result>
<Result>29.646</Result>
<Result>33.317</Result>
<Result>30.423</Result>
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<Result>35.935</Result>
<Result>20.417</Result>
<formatted-date-string>2016-02-24</formatted-date-string>
</ResultSet>
<ResultSet>
<Date>02/25/2016</Date>
<Result>27.880</Result>
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<Result>25.886</Result>
<formatted-date-string>2016-02-25</formatted-date-string>
</ResultSet>
<ResultSet>
<Date>02/26/2016</Date>
<Result>27.834</Result>
<Result>28.088</Result>
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<Result>21.325</Result>
<formatted-date-string>2016-03-24</formatted-date-string>
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</DataSourceData>
<profile-name>Spot Baseload</profile-name>
<date-formats>
<first-col-date-format>yyyy-MM-dd</first-col-date-format>
<result-date-format>yyyy-MM-dd</result-date-format>
<result-timestamp-format>yyyy-MM-dd HH:mm:ss</result-timestamp-format>
</date-formats>
<profile-settings />
<profile-options>
<start-date>2016-02-24</start-date>
<precision>3</precision>
<interval>Daily</interval>
<sort-order>ASC</sort-order>
<observe-dst>MERGED</observe-dst>
<suppress-nulls>false</suppress-nulls>
<end-date>2016-03-24</end-date>
</profile-options>
<group-name>Spot Prices</group-name>
</Profile>
答案 0 :(得分：1)
这更适合评论，但我还不能这样做。您发布的代码中存在三个问题：
1）find_all的使用不正确，其参数应该是标签名称。在您的情况下，要从元素<DataSource>获取相关信息，您需要更正find_all到soup.find_all("DataSource")或从<ResultSet>更正soup.find_all("ResultSet")，请参阅this上的文档：
2）你从已经解析过的文档中调用的标记调用没有意义，因为就我在xml中看到的而言，它们并不对应于除Date之外的任何元素。 ResultSet。您可以做的是将所需标记的确切位置提供给css选择器，使用soup.select方法查看here，或者如果树的结构允许，您可以使用find方法稳定使用它，请参阅here
3）要从字符串中取出字符串，可以使用soup.get_text()方法，请参阅here。虽然如果元素的子元素是可导航的字符串，.string也应该有效，但请参阅here。
处理完这些内容后，特别是一旦您显示哪些元素与您的代码调用相对应。我们可以看看我们是否可以解决问题。