将列表转换为R中的数据帧

问题描述：

I have this list: 

dput(data) 

structure(list(open = structure(c(NA, 135.600006, 136.759995), .Dim = c(3L, 
1L), .Dimnames = list(structure(c("2016-01-01", "2016-01-04", 
"2016-01-05"), .Dim = c(3L, 1L)), "IBM")), high = structure(c(NA, 
135.970001, 136.889999), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), low = structure(c(NA, 
134.240005, 134.850006), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), close = structure(c(NA, 
135.949997, 135.850006), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), volume = structure(c(NA, 
5229400L, 3924800L), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), adj.close = structure(c(NA, 
130.959683, 130.863362), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM"))), .Names = c("open", 
"high", "low", "close", "volume", "adj.close"))

我试图将此列表转换为数据帧，以便我可以进行更多计算。将列表转换为R中的数据帧

我需要这个数据帧，看起来像这样：

Date Open High Low Close Volume 
1985-01-02 3.18 3.18 3.08 3.08 1870906

我已经试过这样：

do.call(rbind, data)

无法看到列？有任何想法吗？

'setNames（do.call（ 'cbind.data.frame'，数据），名（数据））'变你几乎在那里 – bouncyball

@bouncyball，我需要日期作为列，你可以将它添加到数据框？ – user1471980

@jenesaisquoi这是一样好。修正名称，只用'setNames（data.frame（data），names（data））' – alistaire

答

我会后作为回答我的评论：

data2 <- setNames(do.call('cbind.data.frame', data), names(data)) 
data2$date <- row.names(data2) 
row.names(data2) <- NULL 
data2 <- cbind.data.frame(date = data2$date, data2[,-7]) 

     date open high low close volume adj.close 
1 2016-01-01  NA  NA  NA  NA  NA  NA 
2 2016-01-04 135.60 135.97 134.24 135.95 5229400 130.9597 
3 2016-01-05 136.76 136.89 134.85 135.85 3924800 130.8634

基本上，我们使用cbind.data.frame而不是rbind去接近我们想要的。从那里它重新组织data.frame

答

您可以使用for循环来合并此列表。我用as.numeric删除每个矩阵的行和col名称：

list.to.df <- structure(list(open = structure(c(NA, 135.600006, 136.759995), .Dim = c(3L, 
1L), .Dimnames = list(structure(c("2016-01-01", "2016-01-04", 
"2016-01-05"), .Dim = c(3L, 1L)), "IBM")), high = structure(c(NA, 
135.970001, 136.889999), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), low = structure(c(NA, 
134.240005, 134.850006), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), close = structure(c(NA, 
135.949997, 135.850006), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), volume = structure(c(NA, 
5229400L, 3924800L), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM")), adj.close = structure(c(NA, 
130.959683, 130.863362), .Dim = c(3L, 1L), .Dimnames = list(structure(c("2016-01-01", 
"2016-01-04", "2016-01-05"), .Dim = c(3L, 1L)), "IBM"))), .Names = c("open", 
"high", "low", "close", "volume", "adj.close"))

names <- names(list.to.df) 

df <- data.frame(Date=as.Date(row.names(list.to.df[[1]]))) 

for(i in 1:length(list.to.df)){ 
    df[,i + 1] <- as.numeric(list.to.df[[i]]) 
    names(df)[i + 1] <- names[i] 
} 

     Date open high low close volume adj.close 
1 2016-01-01  NA  NA  NA  NA  NA  NA 
2 2016-01-04 135.60 135.97 134.24 135.95 5229400 130.9597 
3 2016-01-05 136.76 136.89 134.85 135.85 3924800 130.8634

将列表转换为R中的数据帧

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