1
목표 : 웹 페이지 http://www.nepalstock.com/datanepse/previous.php에서 모든 회사의 과거 일별 주가를 스크랩하려고합니다. 다음 코드가 작동합니다. 그러나 가장 최근 (2015 년 2 월 5 일) 날짜에 대해서만 항상 일별 주가가 생성됩니다. 즉, 입력 한 날짜와 관계없이 출력은 동일합니다. 이 점에 대해 도움을 주시면 감사하겠습니다.데이터를 사용하여 웹 스크랩 R
library(RHTMLForms)
library(RCurl)
library(XML)
url <- "http://www.nepalstock.com/datanepse/previous.php"
forms <- getHTMLFormDescription(url)
# we are interested in the second list with date forms
# forms[[2]]
# HTML Form: http://www.nepalstock.com/datanepse/
# Date: [ ]
get_stock<-createFunction(forms[[2]])
#create sequence of dates from start to end and store it as a list
date_daily<-as.list(seq(as.Date("2011-08-24"), as.Date("2011-08-30"), "days"))
# determine the number of elements in the list
num<-length(date_daily)
daily_1<-lapply(date_daily,function(x){
show(x) #displays the particular date
readHTMLTable(htmlParse(get_stock(Date = x)), which = 7)
})
#18 tables out of which 7 is one what we desired
# change the colnames
col_name<-c("SN","Traded_Companies","No_of_Transactions","Max_Price","Min_Price","Closing_Price","Total_Share","Amount","Previous_Closing","Difference_Rs.")
daily_2<-lapply(daily_1,setNames,nm=col_name)
Output:
> head(daily_2[[1]],5)
SN Traded_Companies No_of_Transactions Max_Price Min_Price Closing_Price Total_Share Amount
1 1 Agricultural Development Bank Ltd 24 489 471 473 2,868 1,359,038
2 2 Arun Valley Hydropower Development Company Limited 40 365 360 362 8,844 3,199,605
3 3 Alpine Development Bank Limited 11 297 295 295 150 44,350
4 4 Asian Life Insurance Co. Limited 10 1,230 1,215 1,225 898 1,098,452
5 5 Apex Development Bank Ltd. 23 131 125 131 6,033 769,893
Previous_Closing Difference_Rs.
1 480 -7
2 363 -1
3 303 -8
4 1,242 -17
5 132 -1
> tail(daily_2[[1]],5)
SN Traded_Companies No_of_Transactions Max_Price Min_Price Closing_Price Total_Share Amount Previous_Closing
140 140 United Finance Ltd 4 255 242 242 464 115,128 255
141 141 United Insurance Co.(Nepal)Ltd. 3 905 905 905 234 211,770 915
142 142 Vibor Bikas Bank Limited 7 158 152 156 710 109,510 161
143 143 Western Development Bank Limited 35 320 311 313 7,631 2,402,497 318
144 144 Yeti Development Bank Limited 22 139 132 139 14,355 1,921,511 134
Difference_Rs.
140 -13
141 -10
142 -5
143 -5
144 5
고맙습니다. 해결책은 @Hadley입니다. 나는 새로운 패키지를 배워야한다. – Metrics