我有以下格式的CSV:
TICKER,PER,DATE,TIME,CLOSE
SYMBOL,1,20160104,1002,14180.0000000
SYMBOL,1,20160104,1003,14241.0000000
我想把它读成一个时间序列:
f <- function(a, b) {
c <- paste(a, b)
return(strptime(c, format = "%Y%m%d %H%M"))
}
d <- read.zoo("test.csv", FUN = f, index.column = list("DATE", "TIME"))
我得到的是index does not match data
。为什么呢?
答案 0 :(得分:3)
字符和数字列不能同时是时间序列数据的一部分,因为动物园对象的数据部分是一个矩阵(矩阵必须全部是数字,所有字符或所有其他类型);但是,可以使用split=
在字符列上拆分为宽格式。此外,我们可以通过指定f
和format=
来避免必须指定函数tz=
。此外,我们必须指定标题存在(header=
),并且字段用“,”字符(sep=
)分隔。
(下面我们使用text = Lines
进行了再现,但实际上用"test.csv"
替换了它。)
Lines <- "TICKER,PER,DATE,TIME,CLOSE
SYMBOL,1,20160104,1002,14180.0000000
SYMBOL,1,20160104,1003,14241.0000000"
library(zoo)
read.zoo(text = Lines, header = TRUE, sep = ",", index = c("DATE", "TIME"),
split = "TICKER", format = "%Y%m%d %H%M", tz = "")
,并提供:
PER CLOSE
2016-01-04 10:02:00 1 14180
2016-01-04 10:03:00 1 14241
注意:如果您确实想要使用您的函数f
,请忽略format
和tz
并使用:
read.zoo(text = Lines, header = TRUE, sep = ",", index = c("DATE", "TIME"),
split = "TICKER", FUN = f)
这也可以,即将其读入数据框,然后将数据框读入动物园对象:
DF <- read.csv(text = Lines) # read.csv defaults to header=TRUE, sep=","
read.zoo(DF, index = c("DATE", "TIME"), split = "TICKER", FUN = f)
答案 1 :(得分:1)
您需要指定header = TRUE
和sep = ","
,因为它们不是read.zoo
的默认值,就像read.csv
一样。
d <- read.zoo(text="TICKER,PER,DATE,TIME,CLOSE
SYMBOL,1,20160104,1002,14180.0000000
SYMBOL,1,20160104,1003,14241.0000000",
FUN = f, index.column = list("DATE", "TIME"),
header=TRUE, sep=",")
d
# TICKER PER CLOSE
# 2016-01-04 10:02:00 SYMBOL 1 14180
# 2016-01-04 10:03:00 SYMBOL 1 14241