在 data.frame 的列中解包和合并列表 [英] Unpacking and merging lists in a column in data.frame
本文介绍了在 data.frame 的列中解包和合并列表的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有以下 data.frame
:
id name altNames
1001 Joan character(0)
1002 Jane c("Janie", "Janet", "Jan")
1003 John Jon
1004 Bill Will
1005 Tom character(0)
altNames
列可以为空(即字符(0)),只有一个名称,或名称列表.我想要的是一个 data.frame
(或一个列表),其中来自 name
和/或 altNames
的每个条目与相应的条目一起只出现一次id
,像这样:
The column altNames
could be empty (i.e. character(0)), have just one name, or a list of names. What I want is a data.frame
(or a list) where each entry from name
and/or altNames
appears just once along with the corresponding id
, like this:
id name
1001 Joan
1002 Jane
1002 Janie
1002 Janet
1002 Jan
1003 John
1003 Jon
1004 Bill
1004 Will
1005 Tom
最有效的方法是什么?更好的是使用 dplyr
.谢谢
What's the most efficient way of doing it? Even better is dplyr
is utilized.
Thanks
这是数据:
df <- data_frame(
id = c("1001", "1002","1003", "1004", "1005"),
name = c("Joan", "Jane", "John", "Bill", "Tom"),
altNames = list(character(0), c("Janie", "Janet", "Jan"), "Jon", "Will", character(0))
)
推荐答案
这是一个可能的 data.table
方法
Here's a possible data.table
approach
library(data.table)
setDT(dat)[, .(name = c(name, unlist(altNames))), by = id]
# id name
# 1: 1001 Joan
# 2: 1002 Jane
# 3: 1002 Janie
# 4: 1002 Janet
# 5: 1002 Jan
# 6: 1003 John
# 7: 1003 Jon
# 8: 1004 Bill
# 9: 1004 Will
# 10: 1005 Tom
这篇关于在 data.frame 的列中解包和合并列表的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文