命令:
t <- data.frame(v = 5:1, v2 = 9:5)
write.csv(t, "t.csv")
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产生的文件:
# "","v","v2"
# "1",5,9
# "2",4,8
# "3",3,7
# "4",2,6
# "5",1,5
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如何防止将带有行索引的第一列写入文件?
NPE*_*NPE 267
write.csv(t, "t.csv", row.names=FALSE)
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来自?write.csv
:
row.names: either a logical value indicating whether the row names of
‘x’ are to be written along with ‘x’, or a character vector
of row names to be written.
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为了完整起见,write_csv()
从readr
包中速度更快,从不写行名
# install.packages('readr', dependencies = TRUE)
library(readr)
write_csv(t, "t.csv")
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如果需要写出大数据,请使用fwrite()
fromdata.table
包。它的速度远远快于都write.csv
和write_csv
# install.packages('data.table')
library(data.table)
fwrite(t, "t.csv")
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下面是爱德华在他的网站上发布的基准
microbenchmark(write.csv(data, "baseR_file.csv", row.names = F),
write_csv(data, "readr_file.csv"),
fwrite(data, "datatable_file.csv"),
times = 10, unit = "s")
## Unit: seconds
## expr min lq mean median uq max neval
## write.csv(data, "baseR_file.csv", row.names = F) 13.8066424 13.8248250 13.9118324 13.8776993 13.9269675 14.3241311 10
## write_csv(data, "readr_file.csv") 3.6742610 3.7999409 3.8572456 3.8690681 3.8991995 4.0637453 10
## fwrite(data, "datatable_file.csv") 0.3976728 0.4014872 0.4097876 0.4061506 0.4159007 0.4355469 10
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