我正在解析foursquare api中的一些数据,我有一部分结果如下所示,一个包含嵌套数据帧的大型列表:
List of 1 $ :List of 26 ..$ :'data.frame': 1 obs. of 6 variables: .. ..$ id : chr "4bf58dd8d48988d129951735" .. ..$ name : chr "Train Station" .. ..$ pluralName: chr "Train Stations" .. ..$ shortName : chr "Train Station" .. ..$ icon :'data.frame': 1 obs. of 2 variables: .. .. ..$ prefix: chr "https://ss3.4sqi.net/img/categories_v2/travel/trainstation_" .. .. ..$ suffix: chr ".png" .. ..$ primary : logi TRUE ..$ :'data.frame': 1 obs. of 6 variables: .. ..$ id : chr "4bf58dd8d48988d1fe931735" .. ..$ name : chr "Bus Station" .. ..$ pluralName: chr "Bus Stations" .. ..$ shortName : chr "Bus Station" .. ..$ icon :'data.frame': 1 obs. of 2 variables: .. .. ..$ prefix: chr "https://ss3.4sqi.net/img/categories_v2/travel/busstation_" .. .. ..$ suffix: chr ".png" .. ..$ primary : logi TRUE ..$ :'data.frame': 1 obs. of 6 variables:我正在尝试为某些元素删除这些数据帧,以便我可以将它们绑定到我已有的预先存在的文件。 最后,我希望最终结果如下所示:
$id $name 4bf58dd8d48988d129951735 train station 4bf58dd8d48988d1fe931735 bus station等等
谢谢!
I'm working on parsing out some data from the foursquare api and I have one portion of the results that look like the following, a large list with nested dataframes:
List of 1 $ :List of 26 ..$ :'data.frame': 1 obs. of 6 variables: .. ..$ id : chr "4bf58dd8d48988d129951735" .. ..$ name : chr "Train Station" .. ..$ pluralName: chr "Train Stations" .. ..$ shortName : chr "Train Station" .. ..$ icon :'data.frame': 1 obs. of 2 variables: .. .. ..$ prefix: chr "https://ss3.4sqi.net/img/categories_v2/travel/trainstation_" .. .. ..$ suffix: chr ".png" .. ..$ primary : logi TRUE ..$ :'data.frame': 1 obs. of 6 variables: .. ..$ id : chr "4bf58dd8d48988d1fe931735" .. ..$ name : chr "Bus Station" .. ..$ pluralName: chr "Bus Stations" .. ..$ shortName : chr "Bus Station" .. ..$ icon :'data.frame': 1 obs. of 2 variables: .. .. ..$ prefix: chr "https://ss3.4sqi.net/img/categories_v2/travel/busstation_" .. .. ..$ suffix: chr ".png" .. ..$ primary : logi TRUE ..$ :'data.frame': 1 obs. of 6 variables:I'm trying yo unnest these dataframe for certain elements so that i can cbind them to a pre-existing file I have. Ultimately I would like the end result to look something like the following:
$id $name 4bf58dd8d48988d129951735 train station 4bf58dd8d48988d1fe931735 bus stationetc.
Thanks!
最满意答案
假设您的大型列表称为mylist 。 然后你可以迭代mylist[[1]]并提取相关的列:
do.call(rbind, lapply(mylist[[1]], `[`, c("id", "name")))或者使用rbind.pages函数:
jsonlite::rbind.pages(mylist[[1]])[c("id", "name")]两者都会给你
# id name # 1 4bf58dd8d48988d129951735 Train Station # 2 4bf58dd8d48988d1fe931735 Bus StationSuppose your large list is called mylist. Then you can either iterate through mylist[[1]] and extract the relevant columns:
do.call(rbind, lapply(mylist[[1]], `[`, c("id", "name")))or use the rbind.pages function from jsonlite:
jsonlite::rbind.pages(mylist[[1]])[c("id", "name")]both of which will give you
# id name # 1 4bf58dd8d48988d129951735 Train Station # 2 4bf58dd8d48988d1fe931735 Bus Station更多推荐
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