rjson

问题 I have this file with JSON formatted data, but need this into a dataframe. Ultimately I would like to plot the geolocations onto a map, but can't seem to get this data into a df first. json_to_df <- function(file){ file <- lapply(file, function(x) { x[sapply(x, is.null)] <- NA unlist(x) }) df <- do.call("rbind", file) return(df) } But I get only this error: Error in fromJSON(file) : STRING_ELT() can only be applied to a 'character vector', not a 'list' The file structure looks like this (this

问题 I have this file with JSON formatted data, but need this into a dataframe. Ultimately I would like to plot the geolocations onto a map, but can't seem to get this data into a df first. json_to_df <- function(file){ file <- lapply(file, function(x) { x[sapply(x, is.null)] <- NA unlist(x) }) df <- do.call("rbind", file) return(df) } But I get only this error: Error in fromJSON(file) : STRING_ELT() can only be applied to a 'character vector', not a 'list' The file structure looks like this (this

问题 I'm quite new to Json data structure and so unable to extract data from it. This is the sample rows from Json data which is stored in csv file row1) {"results":[{"address_components":[{"long_name":"16","short_name":"16","types":["street_number"]},{"long_name":"Bhagwan Tatyasaheb Kawade Road","short_name":"BT Kawde Road","types":["route"]},{"long_name":"Palmgrove Society","short_name":"Palmgrove Society","types":["neighborhood","political"]},{"long_name":"Uday Baug","short_name":"Uday Baug",

问题 This is a sample rows from json object. row1) {"results":[{"address_components":[{"long_name":"16","short_name":"16","types":["street_number"]},{"long_name":"Bhagwan Tatyasaheb Kawade Road","short_name":"BT Kawde Road","types":["route"]},{"long_name":"Palmgrove Society","short_name":"Palmgrove Society","types":["neighborhood","political"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi

问题 In R, Int64 whole numbers can not be accurately serialized to and from JSON, because existing JSON libraries will coerce the value into a numeric, or expect to represent the number in scientific notation. Does anyone know of a way to accurately serialize and deserialize whole Int64 numbers to/from JSON with precision, or is a library modification (probably to RJSONIO) required? The full story, including libraries I have tried so far, and the gacky workarounds necessary for the interim: >

问题 UPDATE: The tl;dr is that RJSONIO is no longer the faster of the two options. Rather rjson is now much faster. See the comments for additional confirmation of results I was under the impression that RJSONIO was supposed to be faster tha rjson . However, I am getting the opposite results. My Question is: Is there any tuning that can/should be performed to improve the results from RJSONIO ? (ie, Am I overlooking something?) Below are the comparisons using real data (where U is the contents of a

问题 I have stored json data structure in a dataframe with single column, named json_data in R so my json text is stored in this format row 1) { "results" : [ { "formatted_address" : "Sahibzada Ajit Singh Nagar, Punjab, India", "types" : [ "route" ], "location" :"lat"31.1471305,"lng" 75.34121789999999 }, ] row 2) { "results" : [ { "formatted_address" : "SAS Nagar, Chennai, India", "types" : [ "route 2" ], "location" :"lat"30.67249,"lng" 23.988672537 ,}] row 3) { "results" : [ { "formatted_address"

问题 I want to play with data that is now saved in JSON format. But I am very new to R and have little clue of how to play with data. You can see below what I managed to achieve. But first, my code: library(rjson) json_file <- "C:\\Users\\Saonkfas\\Desktop\\WOWPAPI\\wowpfinaljson.json" json_data <- fromJSON(paste(readLines(json_file), collapse="")) I was able to the data: for (x in json_data){print (x)} Although output looks pretty raw: [[1]] [[1]]$wins [1] "118" [[1]]$losses [1] "40" # And so on

问题 I'm trying to read in a 2.4GB json file into R, However, it seems using the routine approach does not work. The error is below. What can I do? Error in paste(readLines(file, warn = FALSE), collapse = "") : The result will exceed 2^31-1 BYTE 来源： https://stackoverflow.com/questions/38696079/rjson-readin-large-json-error

问题 I am trying to load a JSON file into r using rjson. I get the following error message: Error in paste(readLines(file, warn = FALSE), collapse = "") : result would exceed 2^31-1 bytes My code is as follows: JsonData <- fromJSON(file= "text.txt", unexpected.escape = "skip" ) The file is large (3.47 GB) and from Kaggle, and I assume that it is well formatted. Is it possible to split a json file, or stream it? I am using a Mac, Sierra 10.12.6 and the latest versions of r and Rstudio 来源： https:/