从嵌套列表中提取具有特定名称的所有元素 [英] pull all elements with specific name from a nested list
问题描述
我有一些存档的 Slack 数据,我正在尝试获取一些关键消息属性.我通过愚蠢地展平整个列表,获得一个 data.frame 或带有嵌套在某些单元格中的列表的 tibble 来做到这一点.随着这个数据集越来越大,我想更聪明地从这个列表中挑选元素,这样当这个缓存变大时,它不会永远用我想要的元素来创建 data.frame 或 tibble.
I have some archived Slack data that I am trying to get some of key message properties. I'd done this by stupidly flattening the entire list, getting a data.frame or tibble with lists nested in some cells. As this dataset gets bigger, I want to pick elements out of this list more smartly so that when this cache becomes big it doesn't take forever to create the data.frame or tibble with the elements I want.
我试图拉取名为type"的所有内容的示例下面进入一个向量或平面列表,我可以将其作为数据帧变量引入.为方便起见,我命名了文件夹和消息级别.任何人都有可以提供帮助的模型代码?
Example where I am trying to pull everything named "type" below into a vector or flat list that I can pull in as a dataframe variable. I named the folder and message level for convenience. Anyone have model code that can help?
library(tidyverse)
l <- list(folder_1 = list(
`msg_1-1` = list(type = "message",
subtype = "channel_join",
ts = "1585771048.000200",
user = "UFUNNF8MA",
text = "<@UFUNNF8MA> has joined the channel"),
`msg_1-2` = list(type = "message",
subtype = "channel_purpose",
ts = "1585771049.000300",
user = "UNFUNQ8MA",
text = "<@UNFUNQ8MA> set the channel purpose: Talk about xyz")),
folder_2 = list(
`msg_2-1` = list(type = "message",
subtype = "channel_join",
ts = "1585771120.000200",
user = "UQKUNF8MA",
text = "<@UQKUNF8MA> has joined the channel"))
)
# gets a specific element
print(l[[1]][[1]][["type"]])
# tried to get all elements named "type", but am not at the right list level to do so
print(purrr::map(l, "type"))
推荐答案
与@Duck & 提供的相关@Abdessabour Mtk 昨天,purrr 有一个函数 map_depth()
,如果您知道它的名称以及它在层次结构中的深度,它将让您获得一个命名属性.在抓取这个大型嵌套列表时非常有用,并且是上面嵌套 map()
调用的更简单的解决方案.
Related to those provided by @Duck & @Abdessabour Mtk yesterday, purrr has a function map_depth()
that will let you get a named attribute if you know its name and how deep it is in the hierarchy. REALLY useful when crawling this big nested lists, and is a simpler solution to the nested map()
calls above.
purrr::map_depth(l, 2, "type")
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