R数据帧的XML节点,所有更高级别的节点属性作为列

如何解决R数据帧的XML节点,所有更高级别的节点属性作为列

我有以下格式的XML文件:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
    <fishmeter>
      <mission cruise="2019114" station="344" platform="4174">
        <fishstation serialno="7">
          <platform>4174</platform>
          <nation>58</nation>
          <latitudestart>60.746062433333336</latitudestart>
          <longitudestart>2.6755209333333334</longitudestart>
          <latitudeend>60.75632006666667</latitudeend>
          <longitudeend>2.64776135</longitudeend>
          <catchsample species="172414" samplenumber="1" noname="makrell" aphia="127023">
            <conservation>1</conservation>
            <producttype>1</producttype>
            <weight>10.195</weight>
            <count>0</count>
            <lengthsampleweight>0</lengthsampleweight>
            <sampleproducttype>1</sampleproducttype>
            <lengthmeasurement>E</lengthmeasurement>
            <specimensamplecount>36</specimensamplecount>
            <individual specimenno="1">
              <lengthunit>2</lengthunit>
              <length>0.36</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="2">
              <lengthunit>2</lengthunit>
              <length>0.36</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="3">
              <lengthunit>2</lengthunit>
              <length>0.315</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="4">
              <lengthunit>2</lengthunit>
              <length>0.315</length>
              <individualproducttype>1</individualproducttype>
            </individual>
          </catchsample>
          <catchsample species="167044" samplenumber="1" noname="knurr" aphia="150637">
            <conservation>1</conservation>
            <producttype>1</producttype>
            <weight>2.52</weight>
            <count>0</count>
            <lengthsampleweight>0</lengthsampleweight>
            <sampleproducttype>1</sampleproducttype>
            <lengthmeasurement>E</lengthmeasurement>
            <specimensamplecount>10</specimensamplecount>
            <individual specimenno="1">
              <lengthunit>2</lengthunit>
              <length>0.28</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="2">
              <lengthunit>2</lengthunit>
              <length>0.285</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="3">
              <lengthunit>2</lengthunit>
              <length>0.37</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="4">
              <lengthunit>2</lengthunit>
              <length>0.315</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="5">
              <lengthunit>2</lengthunit>
              <length>0.32</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="6">
              <lengthunit>2</lengthunit>
              <length>0.38</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="7">
              <lengthunit>2</lengthunit>
              <length>0.39</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="8">
              <lengthunit>2</lengthunit>
              <length>0.305</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="9">
              <lengthunit>2</lengthunit>
              <length>0.24</length>
              <individualproducttype>1</individualproducttype>
            </individual>
            <individual specimenno="10">
              <lengthunit>2</lengthunit>
              <length>0.36</length>
              <individualproducttype>1</individualproducttype>
            </individual>
          </catchsample>
        </fishstation>
      </mission>
    </fishmeter>

我正在尝试将individual节点作为行提取到数据帧中,以保留父catchsample和祖父母fishstation节点在附加列中的信息,以便得到结果数据帧具有以下所有列:

cruise,station,platform,serialno,nation,latitudestart,longitudestart,latitudeend,longitudeend,species,samplenumber,noname,aphia,conservation,producttype,weight,count,lengthsampleweight,sampleproducttype,lengthmeasurement,specimensamplecount,specimenno,lengthunit,length,individualproducttype

按照R XML - combining parent and child nodes into data frame的回答,我设法将individual节点数据提取到数据帧中,而不是上层节点的相关信息。

  fish<- read_xml('test.xml') %>% 
      xml_find_all('//individual') %>% 
      map_dfr(~flatten(c(xml_attrs(.x),map(xml_children(.x),~set_names(as.list(xml_text(.x)),xml_name(.x)))))) %>%
      type_convert()

# A tibble: 14 x 4
   specimenno lengthunit length individualproducttype
        <dbl>      <dbl>  <dbl>                 <dbl>
 1          1          2  0.36                      1
 2          2          2  0.36                      1
 3          3          2  0.315                     1
 4          4          2  0.315                     1
 5          1          2  0.28                      1
 6          2          2  0.285                     1
 7          3          2  0.37                      1
 8          4          2  0.315                     1
 9          5          2  0.32                      1
10          6          2  0.38                      1
11          7          2  0.39                      1
12          8          2  0.305                     1
13          9          2  0.24                      1
14         10          2  0.36                      1

解决方法

您可以这样做:

 server:
    tomcat:
        max-http-post-size: 100000000 # max-http-form-post-size: 10MB for new version

然后:

library(xml2)
library(purrr)
library(readr)
library(rvest)
library(tibble)

individuals <- read_xml('test.xml') %>% 
  xml_find_all('//individual')

to_add <- function(individual,xpath) individual %>% 
  html_nodes(xpath = xpath) %>% 
  {list(html_text(.),html_name(.))} %>% 
  {setNames(object = .[[1]],nm = .[[2]])}

get_data <- function(individual){
  
  out <- c(
    individual %>% html_attrs(),individual %>% html_nodes(xpath = "..") %>% html_attrs() %>% unlist,individual %>% html_nodes(xpath = "../..") %>% html_attrs() %>% unlist,individual %>% html_nodes(xpath = "../../..") %>% html_attrs() %>% unlist
  )
  
  xpathes <- c("../../*[not(descendant::*)]","../*[not(descendant::*)]","*")
  
  c(sapply(xpathes,to_add,individual = individual,USE.NAMES = FALSE) %>% unlist,out)
}

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