我有一些JSON數據,這是其中一個片段:導入從HTML頁面JSONP數據,然後輸出到CSV
{"sweater":"15", "localtime":"7:14 PM", "xcoord":-61,
"desc":"John Smith SHOT on Jack Jones", "teamid":10,"strength":701,
"pid":8465200,"formalEventId":"TOR8", "period":1, "type":"Shot", "p3name":"",
"eventid":8, "p2name":"Jack Jones", "ycoord":21, "pid3":"", "time":"00:38",
"playername":"John Smith", "p1name":"John Smith",
"video":"2_26_ott_tor_0910_TOR8_save_800K_16x9.flv", "pid2":8469461, "pid1":8465200}
我想抓住從一個HTML URL這種格式,這個信息:
http://foo.com/data/20092010/20090xxxxx/PxP.jsonp
其中xxxxx是一個5位遊戲代碼,我希望從列表中插入(通過循環)。
我最需要的數據是:毛衣,xcoord,teamid,力量,週期,類型,ycoord,時間,玩家名和將遊戲代碼(xxxxx)插入爲列。
因此,這將是:
Gamecode,毛衣,XCOORD,teamid,強度,期限,種類,YCOORD,時間,playername
然後,把它導出所有信息爲一(1)CSV文件。
任何人都可以幫助指出我在正確的方向嗎?
編輯:
我試圖導入JSON文件爲本地文件,使用下面的代碼:
#libraries
library(RCurl)
library(rjson)
library(bitops)
#fetch data
j <- getURL("file:///Desktop/test.jsonp")
#grab JSON
j.list <- fromJSON(j)
#get each data item
j.df <- data.frame(playername = sapply(j.list, function(x) x$sweater))
j.df <- data.frame(xcoord = sapply(j.list, function(x) x$xcoord))
j.df <- data.frame(ycoord = sapply(j.list, function(x) x$ycoord))
j.df <- data.frame(type = sapply(j.list, function(x) x$type))
write.csv(j.df, file="fooPxP.csv")
,並得到一個空的CSV文件。任何想法我做錯了什麼?
下面是一些實際的數據文件從beginining:提前
loadPlayByPlay({"data":{"refreshInterval":0,"game":{"awayteamid":9,"awayteamname":"Ottawa Senators","hometeamname":"Toronto Maple Leafs","plays":{"play":[{"sweater":"11","localtime":"7:14 PM","xcoord":76,"desc":"Daniel Alfredsson HIT on Tomas Kaberle","teamid":9,"strength":701,"pid":8460621,"formalEventId":"TOR51","period":1,"type":"Hit","p3name":"","eventid":51,"p2name":"Tomas Kaberle","ycoord":-40,"pid3":"","time":"00:16","playername":"Daniel Alfredsson","p1name":"Daniel Alfredsson","pid2":8465200,"pid1":8460621},{"sweater":"15","localtime":"7:14 PM","xcoord":-61,"desc":"Tomas Kaberle SHOT on Pascal Leclaire","teamid":10,"strength":701,"pid":8465200,"formalEventId":"TOR8","period":1,"type":"Shot","p3name":"","eventid":8,"p2name":"Pascal Leclaire","ycoord":21,"pid3":"","time":"00:38","playername":"Tomas Kaberle","p1name":"Tomas Kaberle","video":"2_26_ott_tor_0910_TOR8_save_800K_16x9.flv","pid2":8469461,"pid1":8465200}}})
謝謝!
太棒了,謝謝!所以對於「強度」,它會是:j.df < - data.frame(strength = sapply(j.list,function(x)x $ strength))? – NeilG 2011-02-11 01:52:07