我在R语言中是一个新手,我正努力将数据从XML导入到数据帧中,标准还可以,但是缺少某些字段,因此在缺少字段(节点的情况下,我需要进行一些迭代以获得NA) )。在我的例子中 有资产,每个资产都有有关SecurityCodes的信息,..但是在某些资产中,缺少一些信息,例如InterestClaimGross ...
keras
我可以获得有关第一个isin的信息(AUV = InterestClaimGross / Amount)。 总isin为58,但由于有兄弟姐妹,我得到57-
我想要一张桌子:
<Portfolio>
<Assets>
<SecurityCodes>
<ISIN>XS1300502041</ISIN>
</SecurityCodes>
<Currency>EUR</Currency>
<NominalOrUnits>2000000</NominalOrUnits>
<ExchangeRate>1</ExchangeRate>
<Price>107.233</Price>
<MarketValue>
<Amount>2144660</Amount>
<AmountForeign>2144660</AmountForeign>
<AmountCurrency>
<Currency>EUR</Currency>
<Amount>2144660</Amount>
</AmountCurrency>
</MarketValue>
<InterestClaimGross>
<Amount>34027.4</Amount>
<AmountForeign>34027.4</AmountForeign>
<AmountCurrency>
<Currency>EUR</Currency>
<Amount>34027.4</Amount>
</AmountCurrency>
</InterestClaimGross>
</Assets>
<Assets>
<SecurityCodes>
<ISIN>XS0953958641</ISIN>
</SecurityCodes>
<Currency>EUR</Currency>
<NominalOrUnits>200000</NominalOrUnits>
<ExchangeRate>1</ExchangeRate>
<Price>104.798</Price>
<MarketValue>
<Amount>209596</Amount>
<AmountForeign>209596</AmountForeign>
<AmountCurrency>
<Currency>EUR</Currency>
<Amount>209596</Amount>
</AmountCurrency>
</MarketValue>
</Assets>
答案 0 :(得分:0)
最简单的方法是使用XML包中的xmlToDataFrame
函数:
library(XML)
df<-xmlToDataFrame("<Portfolio> <Assets>
<SecurityCodes>
...
</Assets></Portfolio>")
df
#sample output
SecurityCodes Currency NominalOrUnits ExchangeRate Price MarketValue InterestClaimGross
1 XS1300502041 EUR 2000000 1 107.233 21446602144660EUR2144660 34027.434027.4EUR34027.4
2 XS0953958641 EUR 200000 1 104.798 209596209596EUR209596 <NA>