R语言处理JSON文件的方法
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2022-06-28 14:54:40
json文件以人类可读格式将数据存储为文本。 json代表javascript object notation。 r可以使用rjson包读取json文件。安装rjson包在r语言控制台中,您可以发出以...
json文件以人类可读格式将数据存储为文本。 json代表javascript object notation。 r可以使用rjson包读取json文件。
安装rjson包
在r语言控制台中,您可以发出以下命令来安装rjson包。
install.packages("rjson")
输入数据
通过将以下数据复制到文本编辑器(如记事本)中来创建json文件。 使用.json扩展名保存文件,并将文件类型选择为所有文件(*.*)。
{ "id":["1","2","3","4","5","6","7","8" ], "name":["rick","dan","michelle","ryan","gary","nina","simon","guru" ], "salary":["623.3","515.2","611","729","843.25","578","632.8","722.5" ], "startdate":[ "1/1/2012","9/23/2013","11/15/2014","5/11/2014","3/27/2015","5/21/2013", "7/30/2013","6/17/2014"], "dept":[ "it","operations","it","hr","finance","it","operations","finance"] }
读取json文件
json文件由r使用来自json()的函数读取。 它作为列表存储在r中。
# load the package required to read json files. library("rjson") # give the input file name to the function. result <- fromjson(file = "input.json") # print the result. print(result)
当我们执行上面的代码,它产生以下结果
$id [1] "1" "2" "3" "4" "5" "6" "7" "8" $name [1] "rick" "dan" "michelle" "ryan" "gary" "nina" "simon" "guru" $salary [1] "623.3" "515.2" "611" "729" "843.25" "578" "632.8" "722.5" $startdate [1] "1/1/2012" "9/23/2013" "11/15/2014" "5/11/2014" "3/27/2015" "5/21/2013" "7/30/2013" "6/17/2014" $dept [1] "it" "operations" "it" "hr" "finance" "it" "operations" "finance"
将json转换为数据帧
我们可以使用as.data.frame()函数将上面提取的数据转换为r语言数据帧以进行进一步分析。
# load the package required to read json files. library("rjson") # give the input file name to the function. result <- fromjson(file = "input.json") # convert json file to a data frame. json_data_frame <- as.data.frame(result) print(json_data_frame)
当我们执行上面的代码,它产生以下结果
id, name, salary, start_date, dept 1 1 rick 623.30 2012-01-01 it 2 2 dan 515.20 2013-09-23 operations 3 3 michelle 611.00 2014-11-15 it 4 4 ryan 729.00 2014-05-11 hr 5 na gary 843.25 2015-03-27 finance 6 6 nina 578.00 2013-05-21 it 7 7 simon 632.80 2013-07-30 operations 8 8 guru 722.50 2014-06-17 finance
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