getFin（）函數返回類型爲「financials」的對象。其中包含一個列表清單。將財務報表從getFin（）導入到data.frame或data.table？
getFin("AAPL")
我需要爲每個以下創建表：
的最終目標是去dis在儀表板上播放這些表格。
這是我試過，但它看起來不正確：
df <- data.frame(AAPL.f[[2]][2])
df2 <- data.frame(viewFin(AAPL.f,"BS", "A"))
我怎樣才能得到上面的語句轉換成數據幀？
ticker = "AAPL"
period = 'A'
statements = getFin(ticker, auto.assign=FALSE)
bs = viewFin(statements, type="BS", period=period)
is = viewFin(statements, type="IS", period=period)
cf = viewFin(statements, type="CF", period=period)
bs.df = data.frame(bs)
is.df = data.frame(is)
cf.df = data.frame(cf)
然後，您可以檢查以確保它們都是data.frame類。
> is.data.frame(bs.df)
[1] TRUE
> is.data.frame(is.df)
[1] TRUE
> is.data.frame(cf.df)
[1] TRUE
這應該給你你想要的。
require(quantmod)
setwd("C:/Users/rshuell001/Desktop/downloads")
stocks <- c("AXP","BA","CAT","CSCO","CVX","DD","DIS","GE","GS","HD","IBM","INTC","JNJ","JPM","KO","MCD","MMM","MRK","MSFT","NKE","PFE","PG","T","TRV","UNH","UTX","V","VZ","WMT","XOM")
# equityList <- read.csv("EquityList.csv", header = FALSE, stringsAsFactors = FALSE)
# names(equityList) <- c ("Ticker")
for (i in 1 : length(stocks)) {
temp<-getFinancials(stocks[i],src="google",auto.assign=FALSE)
write.csv(temp$IS$A,paste(stocks[i],"_Income_Statement(Annual).csv",sep=""))
write.csv(temp$BS$A,paste(stocks[i],"_Balance_Sheet(Annual).csv",sep=""))
write.csv(temp$CF$A,paste(stocks[i],"_Cash_Flow(Annual).csv",sep=""))
write.csv(temp$IS$A,paste(stocks[i],"_Income_Statement(Quarterly).csv",sep=""))
write.csv(temp$BS$A,paste(stocks[i],"_Balance_Sheet(Quaterly).csv",sep=""))
write.csv(temp$CF$A,paste(stocks[i],"_Cash_Flow(Quaterly).csv",sep=""))
}
這應該給你你想要的。
require(quantmod)
setwd("C:/Users/your_path_here/downloads")
stocks <- c("AXP","BA","CAT","CSCO","CVX","DD","DIS","GE","GS","HD","IBM","INTC","JNJ","JPM","KO","MCD","MMM","MRK","MSFT","NKE","PFE","PG","T","TRV","UNH","UTX","V","VZ","WMT","XOM")
# equityList <- read.csv("EquityList.csv", header = FALSE, stringsAsFactors = FALSE)
# names(equityList) <- c ("Ticker")
for (i in 1 : length(stocks)) {
temp<-getFinancials(stocks[i],src="google",auto.assign=FALSE)
write.csv(temp$IS$A,paste(stocks[i],"_Income_Statement(Annual).csv",sep=""))
write.csv(temp$BS$A,paste(stocks[i],"_Balance_Sheet(Annual).csv",sep=""))
write.csv(temp$CF$A,paste(stocks[i],"_Cash_Flow(Annual).csv",sep=""))
write.csv(temp$IS$A,paste(stocks[i],"_Income_Statement(Quarterly).csv",sep=""))
write.csv(temp$BS$A,paste(stocks[i],"_Balance_Sheet(Quaterly).csv",sep=""))
write.csv(temp$CF$A,paste(stocks[i],"_Cash_Flow(Quaterly).csv",sep=""))
}
這不是我正在尋找的確切解決方案。但它非常有幫助。謝謝！ – pranav
這就是我一直在尋找.... 我敢肯定有更好的方法來做到這一點。
library(quantmod)
library(xlsx)
getFin("GS")
gs_BS <- GS.f$BS$A
str(gs_BS)
#num [1:42, 1:4] 106533 NA 113003 71883 NA ...
#- attr(*, "dimnames")=List of 2
# ..$ : chr [1:42] "Cash & Equivalents" "Short Term Investments" "Cash and Short Term Investments" "Accounts Receivable - Trade, Net" ...
# ..$ : chr [1:4] "2015-12-31" "2014-12-31" "2013-12-31" "2012-12-31"
#- attr(*, "col_desc")= chr [1:4] "As of 2015-12-31" "As of 2014-12-31" "As of 2013-12-31" "As of 2012-12-31"
transposed <- t(gs_BS)
write.xlsx(transposed, "C:\\Users\\abc\\Desktop\\bal_sheet.xlsx", row.names=FALSE)
transp <- read.xlsx("C:\\Users\\Tatter\\Desktop\\bal_sheet.xlsx" , sheetName="Sheet1")
transp$year <- c("2015","2014","2013","2012")
#> str(transp)
#'data.frame': 4 obs. of 43 variables:
#$ Cash...Equivalents : num 106533 90406 94224 65919
#$ Short.Term.Investments : logi NA NA NA NA
#$ Cash.and.Short.Term.Investments : num 113003 96196 98364 72669
#$ Accounts.Receivable...Trade..Net : num 71883 94479 97880 91354
#$ Receivables...Other : logi NA NA NA NA
#$ Total.Receivables..Net : num 71883 94479 97880 91354
#$ Total.Inventory : logi NA NA NA NA
#$ Prepaid.Expenses : logi NA NA NA NA
#$ Other.Current.Assets..Total : logi NA NA NA NA
#$ Total.Current.Assets : logi NA NA NA NA
#$ Property.Plant.Equipment..Total...Gross : num 17726 18324 18236 17267
#$ Accumulated.Depreciation..Total : num -7770 -8980 -9040 -9050
#$ Goodwill..Net : num 3657 3645 3705 3702
#$ Intangibles..Net : num 491 515 671 1397
#$ Long.Term.Investments : num 548317 547272 615841 602819
#$ Other.Long.Term.Assets..Total : num 5548 5181 5241 55291
#$ Total.Assets : num 861395 855842 911507 938555
#$ Accounts.Payable : num 210362 213572 204765 194485
#$ Accrued.Expenses : num 8149 8368 7874 8292
#$ Notes.Payable.Short.Term.Debt : num 196752 186133 250283 241931
#$ Current.Port..of.LT.Debt.Capital.Leases : num 29623 29501 47288 67349
#$ Other.Current.liabilities..Total : num 1280 1533 1974 2724
#$ Total.Current.Liabilities : logi NA NA NA NA
#$ Long.Term.Debt : num 268652 257954 245227 176270
#$ Capital.Lease.Obligations : logi NA NA NA NA
#$ Total.Long.Term.Debt : num 268652 257954 245227 176270
#$ Total.Debt : num 495027 473588 542798 485550
#$ Deferred.Income.Tax : logi NA NA NA NA
#$ Minority.Interest : num 459 404 326 508
#$ Other.Liabilities..Total : num 51035 70829 70120 152289
#$ Total.Liabilities : num 774667 773045 833040 862839
#$ Redeemable.Preferred.Stock..Total : logi NA NA NA NA
#$ Preferred.Stock...Non.Redeemable..Net : num 11200 9200 7200 6200
#$ Common.Stock..Total : num 9 9 8 8
#$ Additional.Paid.In.Capital : num 51340 50049 48998 48030
#$ Retained.Earnings..Accumulated.Deficit. : num 83386 78984 71961 65223
#$ Treasury.Stock...Common : num -62640 -58468 -53015 -46850
#$ Other.Equity..Total : num -718 -743 -524 -520
#$ Total.Equity : num 86728 82797 78467 75716
#$ Total.Liabilities...Shareholders..39..Equity: num 861395 855842 911507 938555
#$ Shares.Outs...Common.Stock.Primary.Issue : logi NA NA NA NA
#$ Total.Common.Shares.Outstanding : num 419 430 467 465
#$ year : chr "2015" "2014" "2013" "2012"
so, the financial statement object has been transposed so that each item on the statement (Balance Sheet in this case) becomes a column and can be written to a database table
感謝您的回答。在我的片段中的第二個聲明也是一樣的。需要將這些陳述中的每個項目（列出資產總額，總收入......）作爲我的數據框/數據表中的一列......如果我這樣做，讓我們假設，對於標準普爾500而言，查找起來會更容易任何公司在任何一年的「總資產」項目。 – pranav
這是否有一個python等價物？ –