具有不同列数的rbindlist data.tables [英] rbindlist data.tables with different number of columns

问题描述

我想知道如何重新排列具有不同列数的数据表，并用rbind.fill之类的NA填充空行

I am wondering how do I rbindlist data tables with different number of columns, and filling up empty rows with NAs like rbind.fill

 DT1 <- data.table(A = 1:3)
 DT2 <- data.table(A  =4:5, B = letters[4:5])
 l <- list(DT1, DT2)
 rbindlist(l)
 #  Error in rbindlist(l) : 
 #   Item 2 has 2 columns, inconsistent with item 1 which has 1 columns

我想要得到的是

   A B
1: 1 NA
2: 2 NA
3: 3 NA
4: 4 d
5: 5 e

推荐答案

此功能现已在提交v266.3的1266 。来自 NEWS ：

This feature is now implemented in commit 1266 of v1.9.3. From NEWS:

o  'rbindlist' gains 'use.names' and 'fill' arguments and is now implemented 
   entirely in C. Closes #5249    
  -> use.names by default is FALSE for backwards compatibility (doesn't bind by 
     names by default)
  -> rbind(...) now just calls rbindlist() internally, except that 'use.names' 
     is TRUE by default, for compatibility with base (and backwards compatibility).
  -> fill by default is FALSE. If fill is TRUE, use.names has to be TRUE.
  -> At least one item of the input list has to have non-null column names.
  -> Duplicate columns are bound in the order of occurrence, like base.
  -> Attributes that might exist in individual items would be lost in the bound result.
  -> Columns are coerced to the highest SEXPTYPE, if they are different, if/when possible.
  -> And incredibly fast ;).
  -> Documentation updated in much detail. Closes DR #5158.

检查

Check this post for benchmarks.

1）使用 rbindlist 的 fill 自变量：

DT1 <- data.table(x=1, y=2)
DT2 <- data.table(y=2, z=-1)

rbindlist(list(DT1, DT2), fill=TRUE)
#     x y  z
# 1:  1 2 NA
# 2: NA 2 -1

请注意，当 fill = TRUE 时， use.names 应该为 TRUE 。

Note that when fill=TRUE, use.names should be TRUE.

2）适当地绑定具有重复名称的表：

2) Binding tables with duplicate names appropriately:

DT1 <- data.table(x=1, x=2, y=1, y=2)
DT2 <- data.table(y=3, y=-1, y=-2)

rbindlist(list(DT1, DT2), fill=TRUE)
#     x  x y  y  y
# 1:  1  2 1  2 NA
# 2: NA NA 3 -1 -2

---

3）它不仅限于 data.tables ，还可以用于 data.frames 和列表：

DT1 <- data.table(x=1, y=2)
DT2 <- data.frame(y=2, z=-1)
DT3 <- list(z=10)

rbindlist(list(DT1,DT2,DT3), fill=TRUE)

#     x  y  z
# 1:  1  2 NA
# 2: NA  2 -1
# 3: NA NA 10

---

4）如果您要绑定仅按名称，您可以只设置 use.names = TRUE ，但不能设置 fill ：

DT1 <- data.table(x=1, y=2)
DT2 <- data.table(y=1, x=2)

rbindlist(list(DT1,DT2), use.names=TRUE, fill=FALSE)
#    x y
# 1: 1 2
# 2: 2 1

DT1 <- data.table(x=1, y=2)
DT2 <- data.table(z=2, y=1)

# returns error when fill=FALSE but can't be bound without fill=TRUE
rbindlist(list(DT1, DT2), use.names=TRUE, fill=FALSE)
# Error in rbindlist(list(DT1, DT2), use.names = TRUE, fill = FALSE) : 
    # Answer requires 3 columns whereas one or more item(s) in the input 
    # list has only 2 columns. ...

---

5）默认值相同为了向后兼容（ use.names = FALSE ， fill = FALSE ）：

DT1 <- data.table(x=1, y=2)
DT2 <- data.table(y=1, x=2)

rbindlist(list(DT1, DT2))

#    x y
# 1: 1 2
# 2: 1 2

HTH

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