在fread中使用colClasses [英] using colClasses in fread

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本文介绍了在fread中使用colClasses的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我不知道如何使用 colClasses 选项在 fread 中选择特定的列。我尝试使用 NULL 在几种方式,但没有什么工作。这里是一个最小的例子。我只需要列1和3。

I don't know how to choose specific columns using the colClasses option in fread. I tried to use NULL in several ways but nothing worked. Here's a minimal example. I just want columns 1 and 3.

dt <- data.table(a=1:5,b=6:10,c=10:14)
write.csv(dt,"dt.csv",row.names=F)

dt <- fread("dt.csv",colClasses=?)

packageVersion("data.table")
[1] ‘1.8.10’

getRversion()
[1] ‘3.0.1’

导入的数据集应如下所示:

The imported dataset should look like this:

   a  c
1: 1 10
2: 2 11
3: 3 12
4: 4 13
5: 5 14


推荐答案

现在在 R-Forge 上的v1.8.11中实现了commit 966.从新闻

UPDATE: This is now implemented in v1.8.11 on R-Forge as of commit 966. From NEWS :


fread drop colClasses 中的选择 NULL
按名称或按数字删除或选择列。请参阅?fread 中的示例。

fread's drop, select and NULL in colClasses are implemented. To drop or select columns by name or by number. See examples in ?fread.

?fread 是:

data = "A,B,C,D\n1,3,5,7\n2,4,6,8\n"

# colClasses    
fread(data, colClasses=c(B="character",C="character",D="character"))
fread(data, colClasses=list(character=c("B","C","D")))    # saves typing
fread(data, colClasses=list(character=2:4))     # same using column numbers

# drop
fread(data, colClasses=c("B"="NULL","C"="NULL"))   # as read.csv
fread(data, colClasses=list(NULL=c("B","C")))      # same
fread(data, drop=c("B","C"))      # same but less typing, easier to read
fread(data, drop=2:3)             # same using column numbers

# select
# (in read.csv you need to work out which to drop)
fread(data, select=c("A","D"))    # less typing, easier to read
fread(data, select=c(1,4))        # same using column numbers

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