我有一个非常大的嵌套列表,我想对一个平面数据框进行嵌套。我创建了列表的前两个元素的dput以快速复制/粘贴(对不起,创建df后我可以清理很多东西)与我出于某种原因。
谢谢!
这里是前两个元素的输出-完整列表有数千个:
list(structure(list(first = structure(list(text = c("\n\tMenghe a'Nyam\n\t\n\n \n\n \n\n \n\n \n
Position:\n \n Forward\n\n\n\n 6-5, 215lb (196cm, 97kg) \n \n\n \n\n \n \n \n\n School:
Canisius\n\n\n\n\n\n More player info\n\n\n\n\n\n" ,
"\n\tMenghe a'Nyam\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-5, 215lb
(196cm, 97kg) \n \n\n \n\n \n \n \n\n School: Canisius\n\n\n\n\n\n More player
info\n\n\n\n\n\n" ,
"\n\tMenghe a'Nyam\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-5, 215lb
(196cm, 97kg) \n \n\n \n\n \n \n \n\n School: Canisius\n\n\n\n\n\n More player
info\n\n\n\n\n\n"
)), row.names = c(NA, -3L), class = c("tbl_df", "tbl", "data.frame"
)), second = structure(list(Season = c("2006-07", "2007-08",
"Career"), name = c("menghe-anyam", "menghe-anyam", "menghe-anyam"
)), row.names = c(NA, -3L), class = "data.frame")), row.names = c(NA,
-3L), class = c("tbl_df", "tbl", "data.frame")), structure(list(
first = structure(list(text = c("\n\tJordan Aaberg\n\t\n\n \n\n \n\n \n\n \n Position:\n \n
Forward\n\n\n\n 6-9, 225lb (206cm, 102kg) \n \n\n Hometown: Rothsay, MN\n\n\n\n \n\n High
School: Rothsay\n\n\n\n \n \n \n\n School: North Dakota State\n\n\n\n\n\n More player
info\n\n\n\n\n\n" ,
"\n\tJordan Aaberg\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-9, 225lb
(206cm, 102kg) \n \n\n Hometown: Rothsay, MN\n\n\n\n \n\n High School: Rothsay\n\n\n\n \n \n
\n\n School: North Dakota State\n\n\n\n\n\n More player info\n\n\n\n\n\n" ,
"\n\tJordan Aaberg\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-9, 225lb
(206cm, 102kg) \n \n\n Hometown: Rothsay, MN\n\n\n\n \n\n High School: Rothsay\n\n\n\n \n \n
\n\n School: North Dakota State\n\n\n\n\n\n More player info\n\n\n\n\n\n" ,
"\n\tJordan Aaberg\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-9, 225lb
(206cm, 102kg) \n \n\n Hometown: Rothsay, MN\n\n\n\n \n\n High School: Rothsay\n\n\n\n \n \n
\n\n School: North Dakota State\n\n\n\n\n\n More player info\n\n\n\n\n\n" ,
"\n\tJordan Aaberg\n\t\n\n \n\n \n\n \n\n \n Position:\n \n Forward\n\n\n\n 6-9, 225lb
(206cm, 102kg) \n \n\n Hometown: Rothsay, MN\n\n\n\n \n\n High School: Rothsay\n\n\n\n \n \n
\n\n School: North Dakota State\n\n\n\n\n\n More player info\n\n\n\n\n\n"
)), row.names = c(NA, -5L), class = c("tbl_df", "tbl", "data.frame"
)), second = structure(list(Season = c("2009-10", "2011-12",
"2012-13", "2013-14", "Career"), name = c("jordan-aaberg",
"jordan-aaberg", "jordan-aaberg", "jordan-aaberg", "jordan-aaberg"
)), row.names = c(NA, -5L), class = "data.frame")), row.names = c(NA,
-5L), class = c("tbl_df", "tbl", "data.frame")))
要在一个数据帧中获取数据,可以使用:
newdata <- do.call(rbind, lapply(data, function(x) do.call(cbind, x)))
或使用purrr
:
newdata <- purrr::map_df(data, ~do.call(cbind, .x))
我们可以做bind_rows
library(dplyr)
data %>% bind_rows