如何通过data.table中的引用删除一行? [英] How to delete a row by reference in data.table?
问题描述
我的问题与通过引用分配与在 data.table
中复制有关.我想知道是否可以通过引用删除行,类似于
My question is related to assignment by reference versus copying in data.table
. I want to know if one can delete rows by reference, similar to
DT[ , someCol := NULL]
我想知道
DT[someRow := NULL, ]
我想有一个很好的理由说明为什么这个函数不存在,所以也许你可以指出一个很好的替代通常的复制方法,如下所示.特别是,我最喜欢的例子(data.table),
I guess there's a good reason for why this function doesn't exist, so maybe you could just point out a good alternative to the usual copying approach, as below. In particular, going with my favourite from example(data.table),
DT = data.table(x = rep(c("a", "b", "c"), each = 3), y = c(1, 3, 6), v = 1:9)
# x y v
# [1,] a 1 1
# [2,] a 3 2
# [3,] a 6 3
# [4,] b 1 4
# [5,] b 3 5
# [6,] b 6 6
# [7,] c 1 7
# [8,] c 3 8
# [9,] c 6 9
假设我想从这个 data.table 中删除第一行.我知道我可以做到这一点:
Say I want to delete the first row from this data.table. I know I can do this:
DT <- DT[-1, ]
但通常我们可能想要避免这种情况,因为我们正在复制对象(这需要大约 3*N 内存,如果 N object.size(DT)
, 正如这里所指出的.现在我找到了 set(DT, i, j, value)
.我知道如何设置特定值(例如:将第 1 行和第 2 行以及第 2 列和第 3 列中的所有值设置为零)
but often we may want to avoid that, because we are copying the object (and that requires about 3*N memory, if N object.size(DT)
, as pointed out here.
Now I found set(DT, i, j, value)
. I know how to set specific values (like here: set all values in rows 1 and 2 and columns 2 and 3 to zero)
set(DT, 1:2, 2:3, 0)
DT
# x y v
# [1,] a 0 0
# [2,] a 0 0
# [3,] a 6 3
# [4,] b 1 4
# [5,] b 3 5
# [6,] b 6 6
# [7,] c 1 7
# [8,] c 3 8
# [9,] c 6 9
但是我怎样才能擦除前两行呢?做
But how can I erase the first two rows, say? Doing
set(DT, 1:2, 1:3, NULL)
将整个 DT 设置为 NULL.
sets the entire DT to NULL.
我的SQL知识非常有限,所以你们告诉我:给定data.table使用SQL技术,是否有等价的SQL命令
My SQL knowledge is very limited, so you guys tell me: given data.table uses SQL technology, is there an equivalent to the SQL command
DELETE FROM table_name
WHERE some_column=some_value
在数据表中?
推荐答案
好问题.data.table
还不能通过引用删除行.
Good question. data.table
can't delete rows by reference yet.
data.table
可以通过引用添加和删除列,因为它过度分配了列指针的向量,如您所知.计划是对行做类似的事情,并允许快速insert
和delete
.行删除将使用 C 中的 memmove
在删除的行之后移动项目(在每一列中).与行存储数据库(如 SQL)相比,删除表中间的行仍然效率很低,SQL 更适合在表中的任何行快速插入和删除行.但是,它仍然比复制一个没有删除行的新大对象要快得多.
data.table
can add and delete columns by reference since it over-allocates the vector of column pointers, as you know. The plan is to do something similar for rows and allow fast insert
and delete
. A row delete would use memmove
in C to budge up the items (in each and every column) after the deleted rows. Deleting a row in the middle of the table would still be quite inefficient compared to a row store database such as SQL, which is more suited for fast insert and delete of rows wherever those rows are in the table. But still, it would be a lot faster than copying a new large object without the deleted rows.
另一方面,由于列向量会被过度分配,因此可以立即插入(和删除)行在末尾em>;例如,一个不断增长的时间序列.
On the other hand, since column vectors would be over-allocated, rows could be inserted (and deleted) at the end, instantly; e.g., a growing time series.
已作为问题提交:通过引用删除行.
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