CODEWITHSUNDEEP
r
udya
udya

Reputation: 157

How to add new column from list column value

How to unlist list column and add new column from unlist column value in data frame.Can you please find my df below.

My data Frame.

Status       AuditResult                                               Deship                                        Item

Active    list(DDID=c("2","First"),Dvalue=c("Bpin","67"))  list(UserID=1,Add="Stet,Bpin")  list(Menu=1,Bill=9,Deship =list(list(IDesc ="A",vendor=5)))

Inactive  list(DDID=c("Second","8"),Dvalue=c("CA","98"))   list(UserID=2,Add="Stet,Bpin")  list(Menu=1,Bill=8,Deship =list(list(IDesc ="B,N,O",vendor=4)))

OnHold    list(DDID=c("78","8",NA),Dvalue=c("UK","76"))   list(UserID=1,Add="Stet,Bpin")  list(Menu=1,Bill=7,Deship =list(list(IDesc ="L,q",vendor=2)))

Expected data frame.

Status   DDID          Dvalue         UserID    Add         Menu  Bill  IDesc    vendor

Active   "2","First"   "Bpin","67"    1       "Stet,Bpin"    1     9     "A"        5

Inactive "Second","8"  "CA","98"      2       "Stet,Bpin"    1     8     "B,N,O"    4

OnHold   "78","8",NA   "UK","76"      1       "Stet,Bpin"    1     7     "L,q"      2

please suggest me if any unstructured code.

Dput.

structure(list(Status = c("Active", "Inactive", "OnHold"), AuditResult = list(
    structure(list(DDID = c(2, "First"), Dvalue = c("Bpin", 
    67)), .Names = c("DDID", "Dvalue"), class = "data.frame", row.names = 1:2), 
    structure(list(DDID = c("Second", 8), Dvalue = c("CA", 
    98)), .Names = c("DDID", "Dvalue"), class = "data.frame", row.names = 1:2), 
    structure(list(DDID = c("78","8",NA), Dvalue = c("UK", 
    76)), .Names = c("DDID", "Dvalue"), class = "data.frame", row.names = 1:2)), 
    Deship = list(structure(list(UserID = 1, Add = "Stet, Bpin"), .Names = c("UserID", 
    "Add"), class = "data.frame", row.names = 1L), structure(list(
        UserID = 2, Add = "Stet, Bpin"), .Names = c("UserID", 
    "Add"), class = "data.frame", row.names = 1L), structure(list(
        UserID = 1, Add = "Stet, Bpin"), .Names = c("UserID", 
    "Add"), class = "data.frame", row.names = 1L)), Item = list(
structure(list(Menu = 1, Bill = 9.0, Deship = list(
            structure(list(IDesc = "A", vendor = 5), .Names = c("IDesc", 
            "vendor"), class = "data.frame", row.names = 1L))), .Names = c("Menu", 
        "Bill", "Deship"), class = "data.frame", row.names = 1L), 
        structure(list(Menu = 1, Bill = 8.0, Deship = list(
            structure(list(IDesc = "B,N,O", vendor = 4), .Names = c("IDesc", 
            "vendor"), class = "data.frame", row.names = 1L))), .Names = c("Menu", 
        "Bill", "Deship"), class = "data.frame", row.names = 1L), 
        structure(list(Menu = 1, Bill = 7.0, Deship = list(
            structure(list(IDesc = "L,q", vendor = 2), .Names = c("IDesc", 
            "vendor"), class = "data.frame", row.names = 1L))), .Names = c("Menu", 
        "Bill", "Deship"), class = "data.frame", row.names = 1L))), .Names = c("Status", 
"AuditResult", "Deship", "Item"), row.names = c(NA, 
3L), class = "data.frame")

Upvotes: 3

Views: 267

Answers (2)

Jaap
Jaap

Reputation: 83235

As each of the list columns has a different structure, you'll have to deal with them in different ways.

With base R:

dfnew <- data.frame(df$Status,
                    do.call(rbind, lapply(df$AuditResult, function(x) sapply(x, toString))),
                    do.call(rbind, df$Deship),
                    do.call(rbind, lapply(df$Item, unlist)))
names(dfnew) <- sub('^.*\\.','',names(dfnew))

which gives:

> dfnew
    Status      DDID   Dvalue UserID        Add Menu Bill IDesc vendor
1   Active  2, First Bpin, 67      1 Stet, Bpin    1    9     A      5
2 Inactive Second, 8   CA, 98      2 Stet, Bpin    1    8 B,N,O      4
3   OnHold 78, 8, NA   UK, 76      1 Stet, Bpin    1    7   L,q      2

Upvotes: 2

www
www

Reputation: 39154

Assuming that the name of your data frame is called dt, here is an option.

library(tidyverse)

dt2 <- dt %>%
  select(Status, AuditResult) %>%
  mutate(DDID = map(AuditResult, ~.$DDID),
         Dvalue = map(AuditResult, ~.$Dvalue)) %>%
  mutate(DDID = map_chr(DDID, ~toString(.)),
         Dvalue = map_chr(Dvalue, ~toString(.))) %>%
  select(-AuditResult)

dt3 <- dt %>%
  select(Status, Deship) %>%
  unnest()

dt4 <- dt %>%
  select(Status, Item) %>%
  unnest() %>%
  unnest()

dt_final <- reduce(list(dt2, dt3, dt4), left_join, by = "Status")
dt_final
#     Status      DDID   Dvalue UserID        Add Menu Bill IDesc vendor
# 1   Active  2, First Bpin, 67      1 Stet, Bpin    1    9     A      5
# 2 Inactive Second, 8   CA, 98      2 Stet, Bpin    1    8 B,N,O      4
# 3   OnHold 78, 8, NA   UK, 76      1 Stet, Bpin    1    7   L,q      2

Upvotes: 1

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