我有一个 CSV 文件 (24.1 MB),我无法完全读入我的 R 会话。当我在电子表格程序中打开该文件时,我可以看到 112,544 行。当我用 read.csv
将其读入 R 时,我只得到 56,952 行,并且出现此警告:
cit <- read.csv("citations.CSV", row.names = NULL,
comment.char = "", header = TRUE,
stringsAsFactors = FALSE,
colClasses= "character", encoding= "utf-8")
Warning message:
In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
EOF within quoted string
我可以使用
readLines
将整个文件读入 R:
rl <- readLines(file("citations.CSV", encoding = "utf-8"))
length(rl)
[1] 112545
但是我无法将其作为表格返回到 R 中(通过
read.csv
):
write.table(rl, "rl.txt", quote = FALSE, row.names = FALSE)
rl_in <- read.csv("rl.txt", skip = 1, row.names = NULL)
Warning message:
In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
EOF within quoted string
如何解决或解决此 EOF 消息(这似乎更像是错误而不是警告)以将整个文件放入我的
R
会话中?我在使用其他读取 CSV 文件的方法时也遇到类似的问题:
require(sqldf)
cit_sql <- read.csv.sql("citations.CSV", sql = "select * from file")
require(data.table)
cit_dt <- fread("citations.CSV")
require(ff)
cit_ff <- read.csv.ffdf(file="citations.CSV")
这是我的 sessionInfo()
R version 3.0.1 (2013-05-16)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] tools tcltk stats graphics grDevices utils datasets methods base
other attached packages:
[1] ff_2.2-11 bit_1.1-10 data.table_1.8.8 sqldf_0.4-6.4
[5] RSQLite.extfuns_0.0.1 RSQLite_0.11.4 chron_2.3-43 gsubfn_0.6-5
[9] proto_0.3-10 DBI_0.2-7
cit <- read.csv("citations.CSV", quote = "",
row.names = NULL,
stringsAsFactors = FALSE)
str(cit)
## 'data.frame': 112543 obs. of 13 variables:
## $ row.names : chr "10.2307/675394" "10.2307/30007362" "10.2307/4254931" "10.2307/20537934" ...
## $ id : chr "10.2307/675394\t" "10.2307/30007362\t" "10.2307/4254931\t" "10.2307/20537934\t" ...
## $ doi : chr "Archaeological Inference and Inductive Confirmation\t" "Sound and Sense in Cath Almaine\t" "Oak Galls Preserved by the Eruption of Mount Vesuvius in A.D. 79_ and Their Probable Use\t" "The Arts Four Thousand Years Ago\t" ...
## $ title : chr "Bruce D. Smith\t" "Tomás Ó Cathasaigh\t" "Hiram G. Larew\t" "\t" ...
## $ author : chr "American Anthropologist\t" "Ériu\t" "Economic Botany\t" "The Illustrated Magazine of Art\t" ...
## $ journaltitle : chr "79\t" "54\t" "41\t" "1\t" ...
## $ volume : chr "3\t" "\t" "1\t" "3\t" ...
## $ issue : chr "1977-09-01T00:00:00Z\t" "2004-01-01T00:00:00Z\t" "1987-01-01T00:00:00Z\t" "1853-01-01T00:00:00Z\t" ...
## $ pubdate : chr "pp. 598-617\t" "pp. 41-47\t" "pp. 33-40\t" "pp. 171-172\t" ...
## $ pagerange : chr "American Anthropological Association\tWiley\t" "Royal Irish Academy\t" "New York Botanical Garden Press\tSpringer\t" "\t" ...
## $ publisher : chr "fla\t" "fla\t" "fla\t" "fla\t" ...
## $ type : logi NA NA NA NA NA NA ...
## $ reviewed.work: logi NA NA NA NA NA NA ...
我认为是因为这种线条(检查“刺”和“减”)
readLines("citations.CSV")[82]
[1] "10.2307/3642839,10.2307/3642839\t,\"Thorn\" and \"Minus\" in Hieroglyphic Luvian Orthography\t,H. Craig Melchert\t,Anatolian Studies\t,38\t,\t,1988-01-01T00:00:00Z\t,pp. 29-42\t,British Institute at Ankara\t,fla\t,\t,"
读完这篇文章后我尝试将 fill arg 设置为 TRUE,但随后得到了相同的“带引号的字符串内的 EOF”,我可以按照与上面相同的方式修复它。我成功的 read.table 如下所示:
target <- read.table("target2.txt", fill=TRUE, header=TRUE, quote="", sep=",", encoding="UTF-8")
quote = ""
read.csv() 对我有用。
错误“EOF 在引号字符串内”发生于:
> iproscan.53A.neg = read.csv("interproscan.53A.neg.n.csv",
+ colClasses=c(pb.id = "character",
+ genLoc = "character",
+ icode = "character",
+ length = "character",
+ proteinDB = "character",
+ protein.id = "character",
+ prot.desc = "character",
+ start = "character",
+ end = "character",
+ evalue = "character",
+ tchar = "character",
+ date = "character",
+ ipro.id = "character",
+ prot.name = "character",
+ go.cat = "character",
+ reactome.id= "character"),
+ as.is=T,header=F)
Warning message:
In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
EOF within quoted string
> dim(iproscan.53A.neg)
[1] 69383 16
读入的文件缺少 6,619 行。但是通过禁用引用
> iproscan.53A.neg = read.csv("interproscan.53A.neg.n.csv",
+ colClasses=c(pb.id = "character",
+ genLoc = "character",
+ icode = "character",
+ length = "character",
+ proteinDB = "character",
+ protein.id = "character",
+ prot.desc = "character",
+ start = "character",
+ end = "character",
+ evalue = "character",
+ tchar = "character",
+ date = "character",
+ ipro.id = "character",
+ prot.name = "character",
+ go.cat = "character",
+ reactome.id= "character"),
+ as.is=T,header=F,**quote=""**)
>
> dim(iproscan.53A.neg)
[1] 76002 16
工作没有错误,所有行均已成功读入。
因此,解决方案只是调整 quote 参数的默认设置以排除 «'» 符号,因此,使用
quote = "\"" (即双引号 only),一切正常。
我希望这可以帮助你们中的一些人。干杯。
read.table("....csv", sep=",", ...)
请注意,分隔符参数是在更通用的
read.table()
中定义的。
read.csv()
读取包含文本内容的文件并不是一个好主意,禁用设置的引号
quote=""
只是一个临时解决方案,它仅适用于单独的引号。还有其他原因会导致警告,例如某些特殊字符。 永久解决方案(使用
read.csv()
),找出这些特殊字符是什么并使用正则表达式来消除它们是一个想法。
你有没有想过安装包
{data.table}
并使用
fread()
来读取文件。它要快得多,并且不会因 EOF 警告而打扰您。请注意,它加载的文件将存储为 data.table 对象,而不是 data.frame 对象。 data.table 类有许多好的功能,但无论如何,如果需要,您可以使用 as.data.frame()
对其进行转换。但是查看未加载的第一行,我发现其中一个单元格中有一个特殊字符,一个箭头→(十六进制值0x1A)。删除箭头后,我就可以正常加载数据了。
我能够用以下方法解决它:
quote = "\"'"
禁用
\ ' "
参见:
df<-read.csv("/content/my_df.csv", header = TRUE, sep=",", encoding = "UTF-8", quote = "\"'")