내부 네트워크에서 데이터를 가져 왔는데 '인쇄'할 때 XML 콘텐츠를 볼 수 있으므로 데이터를 명확하게 가져옵니다.
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
아름다운 수프를 사용하여 데이터를 아래 레이블이 지정된 열로 구문 분석하려고합니다 (각 열에는 많은 가격 데이터 목록이 있음)
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')
하지만 열 레이블만으로 빈 데이터 프레임이 계속 나타납니다. XML 코드에 대한 요청은 다음과 같습니다.
<?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>24.322</Result>
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<Result>36.183</Result>
<Result>36.204</Result>
<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>
<Result>29.561</Result>
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<Result>26.921</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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<formatted-date-string>2016-02-26</formatted-date-string>
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<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>
이것은 댓글에 더 적합 할 것이지만 아직 그렇게 할 수 없습니다. 게시 된 코드에는 세 가지 문제가 있습니다.
1) find_all의 잘못된 사용, 인수는 태그 이름이어야합니다. 귀하의 경우, 요소에서 상대적으로 정보를 얻기 위해 <DataSource>당신이를 수정하고 싶을 find_all에 soup.find_all("DataSource")또는에서 <ResultSet>당신이 할 것 soup.find_all("ResultSet"),에 대한 설명서를 참조 이 :
때문에, 태그는 당신이 이해가되지 않는 suppossedly 분석 문서에서 확인 전화) (2) xml에서 볼 수있는 Date한, ResultSet. 당신이 할 수있는 일은 CSS 선택기에 원하는 태그의 정확한 위치를 제공하는 것입니다. soup.select방법은 여기를 참조 하십시오 .find트리의 구조가 안정적인 사용을 허용하는 경우 여기를 참조 하십시오 .
3) 요소에서 문자열을 꺼내려면 soup.get_text()방법 을 사용할 수 있습니다 . 여기를 참조 하십시오 . .string요소의 자식이 탐색 가능한 문자열 인 경우에도 작동해야 하지만 여기를 참조 하십시오 .
이러한 문제를 처리 한 후에는 특히 태그 호출에 해당하는 요소를 보여 주면 더욱 그렇습니다. 해결책을 찾을 수 있는지 확인할 수 있습니다.
이 기사는 인터넷에서 수집됩니다. 재 인쇄 할 때 출처를 알려주십시오.
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