将嵌套列表转换为单个数据帧或Ti球。
将嵌套列表转换为单个数据帧或Ti球。
提问于 2020-06-07 00:41:23
我有一个非常大的嵌套列表，我想要创建一个平面的数据框架。我创建了列表前两个元素的dput来快速复制/粘贴(很抱歉，在创建df之后我可以清除大量的非安全问题)，我尝试了类似的问题，比如将列表转换为df的问题，但由于某种原因，似乎没有一个与我的兼容。
谢谢!
下面是前两个元素的dput --完整列表中有数千个元素：
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")))回答 2
Stack Overflow用户
回答已采纳
发布于 2020-06-07 01:05:29
要在一个数据中获取数据，可以使用：
newdata <- do.call(rbind, lapply(data, function(x) do.call(cbind, x)))或者使用purrr：
newdata <- purrr::map_df(data, ~do.call(cbind, .x))Stack Overflow用户
发布于 2020-06-07 18:34:35
我们可以直接做bind_rows
library(dplyr)
data %>% bind_rows页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/62239637
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