R脚本错误{:在数据框上需要TRUE / FALSE的地方缺少值

时间:2018-08-27 23:42:15

标签: python r scripting rstudio rscript

我有一个看起来像这样的数据框

Name  Surname  Country  Path
John   Snow      UK     /Home/drive/John 
BOB    Anderson         /Home/drive/BOB
Tim    David     UK     /Home/drive/Tim 
Wayne  Green     UK     /Home/drive/Wayne

我编写了一个脚本,该脚本首先检查country =="UK"(如果为true)是否使用R中的"/Home/drive/""/Server/files/"更改为gsub

脚本

Pattern<-"/Home/drive/"

Replacement<- "/Server/files/"



 for (i in 1:nrow(gs_catalog_Staging_123))
{

  if( gs_catalog_Staging_123$country[i] == "UK" && !is.na(gs_catalog_Staging_123$country[i]))   
  {
   gs_catalog_Staging_123$Path<- gsub(Pattern , Replacement , gs_catalog_Staging_123$Path,ignore.case=T)
  }

}

我得到的输出:

    Name  Surname  Country  Path
John   Snow      UK     /Server/files/John 
*BOB    Anderson        /Server/files/BOB*
Tim    David     UK     /Server/files/Tim 
Wayne  Green     UK     /Server/files/Wayne

我想要的输出

Name  Surname  Country  Path
    John   Snow      UK     /Server/files/John 
    BOB    Anderson         /Home/drive/BOB
    Tim    David     UK     /Server/files/Tim 
    Wayne  Green     UK     /Server/files/Wayne

我们可以清楚地看到gsub无法识别丢失的值,也无法追加该行。

1 个答案:

答案 0 :(得分:2)

许多R函数是矢量化的,因此我们可以在这里避免循环。

# example data
df <- data.frame(
    name    = c("John", "Bob", "Tim", "Wayne"),
    surname = c("Snow", "Ander", "David", "Green"),
    country = c("UK", "", "UK", "UK"),
    path    = paste0("/Home/drive/", c("John", "Bob", "Tim", "Wayne")),
    stringsAsFactors = FALSE
)

# fix the path
df$newpath <- ifelse(df$country=="UK" & !is.na(df$country), 
                     gsub("/Home/drive/", "/Server/files/", df$path),
                     df$path)

# view result
df
   name surname country              path             newpath
1  John    Snow      UK  /Home/drive/John  /Server/files/John
2   Bob   Ander           /Home/drive/Bob     /Home/drive/Bob
3   Tim   David      UK   /Home/drive/Tim   /Server/files/Tim
4 Wayne   Green      UK /Home/drive/Wayne /Server/files/Wayne

实际上,这是您的代码存在的问题。每次循环时,您都检查第i行,但是然后完全替换整个列。解决方法是在您的最后一行代码的适当位置添加[i]

gs_catalog_Staging_123$Path[i] <- gsub(Pattern , Replacement , gs_catalog_Staging_123$Path[i] ,ignore.case=T)