將XML文件轉換爲R數據幀

基於R工作室1.0.44上的MacOS 10.12.1將XML文件轉換爲R數據幀

這是處理XML文件，我有相當多的麻煩我第一次.. 我想把我的xml文件到一個R的數據幀，看起來是這樣的：

Date househouldid memberid session begin end 
11/1/15 4FDYT14A1Q    1  235 49448 49453 
11/1/15 4FDYT14A1Q    1 1010001 49453 49463 
11/1/15 4FDYT14A1Q    1 1010475 49463 49468

我只想要日期，householdid，MEMBERID，會議，開始和數據幀結束。

我想...

xmldataframe<-xmlToDataFrame("DQA_audxml_20150105_EN.xml") 
print(xmldataframe)

，並得到這個...

目的地成員regular_guests occasional_guests tvsets household_process

下面是XML文件的一部分（我受字符數限制）。

<?xml version="1.0" encoding="UTF-8"?> 
<households date="2015-01-05" creation_date="2015-01-11T04:22:35" xmlns:s="http://www.mediametrie.fr/nge/schemas" xmlns:xalan="http://xml.apache.org/xalan"> 
    <household id="95D7N14AFA"> 
    <destinations /> 
    <members> 
     <member id="1"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="2"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="3"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
    </members> 
    <regular_guests /> 
    <occasional_guests /> 
    <tvsets> 
     <tvset id="1"> 
     <tvset_process result="OK"> 
      <tvset_audience /> 
      <alarms> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="149" /> 
       <parameter name="reboot_date" value="2015-01-05T03:34:23" /> 
       <parameter name="length" value="0.35116898148148146" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="150" /> 
       <parameter name="reboot_date" value="2015-01-05T05:28:34" /> 
       <parameter name="length" value="0.02806712962962963" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="151" /> 
       <parameter name="reboot_date" value="2015-01-05T08:22:46" /> 
       <parameter name="length" value="0.07322916666666666" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="152" /> 
       <parameter name="reboot_date" value="2015-01-05T14:32:43" /> 
       <parameter name="length" value="0.004803240740740742" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="153" /> 
       <parameter name="reboot_date" value="2015-01-05T18:30:47" /> 
       <parameter name="length" value="0.0" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_T_P_VALID_LAST_HOUR_REBOOT" rule_id="T_P_METER_STOPPING_TIMESTAMPING"> 
       <parameters> 
       <parameter name="unique_id" value="154" /> 
       <parameter name="reboot_date" value="2015-01-06T02:52:01" /> 
       <parameter name="length" value="0.33817129629629633" /> 
       </parameters> 
      </alarm> 
      </alarms> 
     </tvset_process> 
     </tvset> 
    </tvsets> 
    <household_process result="OK" vacation="no"> 
     <alarms /> 
    </household_process> 
    </household> 
    <household id="ISDPN14ASG"> 
    <destinations /> 
    <members> 
     <member id="1"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="2"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="3"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="4"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="5"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
    </members> 
    <regular_guests /> 
    <occasional_guests /> 
    <tvsets> 
     <tvset id="1"> 
     <tvset_process result="KO"> 
      <tvset_audience /> 
      <alarms> 
      <alarm id="AL_R_P_EVENT_CHRONOLOGY" rule_id="R_P_EVENT_CHRONOLOGY"> 
       <parameters> 
       <parameter name="unique_id" value="16195" /> 
       </parameters> 
      </alarm> 
      <alarm id="AL_PROCESS_STOP" rule_id="R_P_EVENT_CHRONOLOGY"> 
       <parameters /> 
      </alarm> 
      </alarms> 
     </tvset_process> 
     </tvset> 
    </tvsets> 
    <household_process result="KO" vacation="no"> 
     <alarms> 
     <alarm id="AL_T_FP_HOUSEHOLD_ABS_DECLARATION" rule_id="T_FP_HOUSEHOLD_ABS_DECLARATION"> 
      <parameters /> 
     </alarm> 
     <alarm id="AL_R_FP_NO_TVSET_KO" rule_id="R_FP_NO_TVSET_KO"> 
      <parameters> 
      <parameter name="tvset_id" value="1" /> 
      </parameters> 
     </alarm> 
     <alarm id="AL_R_FP_AT_LEAST_ONE_TVSET_OK" rule_id="R_FP_AT_LEAST_ONE_TVSET_OK"> 
      <parameters /> 
     </alarm> 
     </alarms> 
    </household_process> 
    </household> 
    <household id="4FDYT14A1Q"> 
    <destinations /> 
    <members> 
     <member id="1"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="2"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience> 
      <individual_audience_tvset id="1"> 
       <channel session="1010497" begin="46722" end="46738" /> 
       <channel session="48" begin="46738" end="46743" /> 
       <channel session="235" begin="46743" end="46748" /> 
       <channel session="47" begin="46748" end="46753" /> 
       <channel session="1010383" begin="46753" end="46973" /> 
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       <channel session="48" begin="47783" end="47828" /> 
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       <channel session="48" begin="48573" end="49433" /> 
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       <channel session="1010072" begin="61603" end="63428" /> 
       <channel session="1010497" begin="63428" end="63438" /> 
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      </individual_audience_tvset> 
      </individual_audience> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="3"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience> 
      <individual_audience_tvset id="1"> 
       <channel session="1010493" begin="54476" end="54490" /> 
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      </individual_audience_tvset> 
      </individual_audience> 
      <alarms /> 
     </member_process> 
     </member> 
     <member id="4"> 
     <member_process result="OK" vacation="undefined"> 
      <individual_audience /> 
      <alarms /> 
     </member_process> 
     </member> 
    </members> 
    <regular_guests /> 
    <occasional_guests /> 
    <tvsets> 
     <tvset id="1"> 
     <tvset_process result="OK"> 
      <tvset_audience> 
      <channel session="1010497" begin="46708" end="46738" /> 
      <channel session="48" begin="46738" end="46743" /> 
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      <channel session="1010497" begin="67563" end="67658" /> 
      <channel session="1010499" begin="67658" end="67713" /> 
      <channel session="1010072" begin="67713" end="67733" /> 
      <channel session="1010367" begin="67733" end="67803" /> 
      <channel session="48" begin="67803" end="68018" /> 
      <channel session="1010367" begin="68018" end="70963" /> 
      <channel session="1010383" begin="70963" end="71048" /> 
      <channel session="1010367" begin="71048" end="71848" /> 
      <channel session="1010383" begin="71848" end="72023" /> 
      <channel session="1010497" begin="72023" end="72043" /> 
      <channel session="1010072" begin="72043" end="72068" /> 
      <channel session="1010499" begin="72068" end="72083" /> 
      <channel session="47" begin="72083" end="72098" /> 
      <channel session="1010499" begin="72098" end="73643" /> 
      <channel session="1010072" begin="73643" end="73668" /> 
      <channel session="1010354" begin="73668" end="73683" /> 
      <channel session="1010383" begin="73683" end="73693" /> 
      <channel session="1010499" begin="73693" end="73708" /> 
      <channel session="1010072" begin="73708" end="73748" /> 
      <channel session="235" begin="73748" end="73753" /> 
      <channel session="1010497" begin="73753" end="73763" /> 
      <channel session="1010499" begin="73763" end="74323" /> 
      <channel session="1010497" begin="74323" end="74363" /> 
      <channel session="1010354" begin="74363" end="74378" /> 
      <channel session="1010499" begin="74378" end="74443" /> 
      <channel session="1010072" begin="74443" end="74453" /> 
      <channel session="1010499" begin="74453" end="74883" /> 
      <channel session="1010497" begin="74883" end="74938" /> 
      <channel session="1010072" begin="74938" end="74953" /> 
      <channel session="47" begin="74953" end="75603" /> 
      <channel session="1010497" begin="75603" end="77673" /> 
      <channel session="1010383" begin="77673" end="79208" /> 
      <channel session="1010354" begin="79208" end="79228" /> 
      <channel session="235" begin="79228" end="79233" /> 
      <channel session="1010497" begin="79233" end="79603" /> 
      <channel session="1010072" begin="79603" end="80088" /> 
      <channel session="1010497" begin="80088" end="80238" /> 
      <channel session="1010499" begin="80238" end="80253" /> 
      <channel session="235" begin="80253" end="80258" />

來源

2016-11-29 J. Collins

這是非常相似的http://stackoverflow.com/questions/40787171/transform-data-from-xml-into -r-dataframe/40790195＃40790195。使用標記爲（2）的解決方案，而不是在'// test'循環，'// channel'循環獲得'session'，'begin'和'end'屬性。通過其祖先獲取其「成員」節點始祖的「id」屬性，其「家庭」節點祖先的「id」屬性和其「家庭」節點祖先的「date」屬性。或者多做一點工作，您可以按照標記爲更快的解決方案（1）。 –

謝謝格洛騰迪克！ –

這完全是勉強的，並且熟悉XML的結構。相對較新的purrr包在這裏非常有用。但是，我認爲你的問題還是有點模糊，缺乏有效的XML文件的超過有問題的：

library(xml2) 
library(purrr) 
library(dplyr) 

hh <- read_xml("~/data/so.xml") 

xml_find_all(hh, ".//household") %>% 
    map_df(function(x) { 
    id <- xml_attr(x, "id") 
    members <- xml_find_all(x, ".//member") 
    map_df(members, function(y) { 
     channel_sessions <- xml_find_all(y, ".//channel") 
     if (length(channel_sessions) == 0) { 
     NULL 
     } else { 
     xml_attrs(channel_sessions) %>% 
      map_df(as.list) %>% 
      mutate(memberid=xml_attr(y, "id"), 
       household=id) 
     } 
    }) 
    }) %>% 
    mutate(date=xml_find_first(hh, "//households") %>% 
      xml_attr("creation_date") %>% 
      as.Date()) 
## # A tibble: 176 × 6 
## session begin end memberid household  date 
##  <chr> <chr> <chr> <chr>  <chr>  <date> 
## 1 1010497 46722 46738  2 4FDYT14A1Q 2015-01-11 
## 2  48 46738 46743  2 4FDYT14A1Q 2015-01-11 
## 3  235 46743 46748  2 4FDYT14A1Q 2015-01-11 
## 4  47 46748 46753  2 4FDYT14A1Q 2015-01-11 
## 5 1010383 46753 46973  2 4FDYT14A1Q 2015-01-11 
## 6 1010497 46973 46983  2 4FDYT14A1Q 2015-01-11 
## 7 1010319 46983 46993  2 4FDYT14A1Q 2015-01-11 
## 8 1010072 46993 47578  2 4FDYT14A1Q 2015-01-11 
## 9 1010499 47578 47618  2 4FDYT14A1Q 2015-01-11 
## 10  47 47618 47633  2 4FDYT14A1Q 2015-01-11 
## # ... with 166 more rows

來源

2016-11-30 03:13:21 hrbrmstr

隨着字變換和XML在相同的標題，考慮XSLT，特殊旨在將源XML文件轉換爲最終用途需求的專用語言，例如導入R數據框。現在面臨的挑戰是R沒有專門的庫來運行XSLT。

儘管如此，R可以將命令行調用到external processers（即使在Python，PHP，Java等其他語言中）以將輸入轉換爲輸出。下面是兩個版本：適用於Windows（使用PowerShell對XslCompiledTransform調用）和Linux/Mac上（使用xsltproc通常安裝在大多數分佈）：

XSLT腳本（另存爲的.xsl，一個良好的XML文件）

<xsl:transform xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> 
<xsl:output version="1.0" encoding="UTF-8" indent="yes" /> 
<xsl:strip-space elements="*"/> 

    <xsl:template match="/households"> 
    <xsl:copy> 
    <xsl:apply-templates select="household"/> 
    </xsl:copy> 
    </xsl:template> 

    <xsl:template match="household|members|member|member_process|individual_audience|individual_audience_tvset"> 
    <xsl:apply-templates/> 
    </xsl:template> 

    <xsl:template match="channel"> 
    <tvset> 
     <date><xsl:value-of select="ancestor::households/@date"/></date> 
     <household_id><xsl:value-of select="ancestor::household/@id"/></household_id> 
     <member_id><xsl:value-of select="ancestor::member/@id"/></member_id> 
     <session><xsl:value-of select="@session"/></session> 
     <begin><xsl:value-of select="@begin"/></begin> 
     <end><xsl:value-of select="@end"/></end> 
    </tvset>  
    </xsl:template> 

    <xsl:template match="tvsets"/> 
</xsl:transform>

的PowerShell腳本（保存爲名爲.ps1文件，僅Windows）

param ($xml, $xsl, $output) 

if (-not $xml -or -not $xsl -or -not $output) { 
    Write-Host "& .\xslt.ps1 [-xml] xml-input [-xsl] xsl-input [-output] transform-output" 
    exit; 
} 

trap [Exception]{ 
    Write-Host $_.Exception; 
} 

$xslt = New-Object System.Xml.Xsl.XslCompiledTransform; 
$xslt.Load($xsl); 
$xslt.Transform($xml, $output); 

Write-Host "generated" $output;

[R（Windows）中

library(XML) 

system(paste0('Powershell.exe -File', 
       ' "C:\\Path\\To\\PowerShell\\Script.ps1"', 
       ' "C:\\Path\\To\\Input.xml"', 
       ' "C:\\Path\\To\\XSLT\\Script.xsl"', 
       ' "C:\\Path\\To\\Output.xml"')) 

df <- xmlToDataFrame("C:\\Path\\To\\Output.xml") 

head(df, 10) 
#   date household_id member_id session begin end 
# 1 2015-01-05 4FDYT14A1Q   2 1010497 46722 46738 
# 2 2015-01-05 4FDYT14A1Q   2  48 46738 46743 
# 3 2015-01-05 4FDYT14A1Q   2  235 46743 46748 
# 4 2015-01-05 4FDYT14A1Q   2  47 46748 46753 
# 5 2015-01-05 4FDYT14A1Q   2 1010383 46753 46973 
# 6 2015-01-05 4FDYT14A1Q   2 1010497 46973 46983 
# 7 2015-01-05 4FDYT14A1Q   2 1010319 46983 46993 
# 8 2015-01-05 4FDYT14A1Q   2 1010072 46993 47578 
# 9 2015-01-05 4FDYT14A1Q   2 1010499 47578 47618 
# 10 2015-01-05 4FDYT14A1Q   2  47 47618 47633

[R（的Linux/Mac上）

library(XML) 

system('xsltproc /path/to/XSLT_Script.xsl /path/to/Input.xml -o path/to/Output.xml') 

df <- xmlToDataFrame("path/to/Output.xml")

來源

2017-01-09 00:50:46 Parfait

將XML文件轉換爲R數據幀

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