问题描述
给定一个字符串向量 texts
和一个模式向量 patterns
,我想为每个文本找到任何匹配的模式.
Given a vector of strings texts
and a vector of patterns patterns
, I want to find any matching pattern for each text.
对于小数据集,这可以在 R 中使用 grepl
轻松完成:
For small datasets, this can be easily done in R with grepl
:
patterns = c("some","pattern","a","horse")
texts = c("this is a text with some pattern", "this is another text with a pattern")
# for each x in patterns
lapply( patterns, function(x){
# match all texts against pattern x
res = grepl( x, texts, fixed=TRUE )
print(res)
# do something with the matches
# ...
})
这个解决方案是正确的,但它没有扩大规模.即使有中等大的数据集(约 500 个文本和模式),这段代码也非常缓慢,在现代机器上每秒只能解决大约 100 个案例 - 考虑到这是一个粗略的字符串部分匹配,没有正则表达式(设置为 ).即使使 lapply
并行也不能解决问题.有没有办法有效地重写这段代码?
This solution is correct, but it doesn't scale up. Even with moderately bigger datasets (~500 texts and patterns), this code is embarassingly slow, solving only about 100 cases per sec on a modern machine - which is ridiculous considering that this is a crude string partial matching, without regex (set with fixed=TRUE
). Even making the lapply
parallel does not solve the issue.Is there a way to re-write this code efficiently?
谢谢,穆隆
推荐答案
使用 stringi
包 - 它甚至比 grepl 还要快.检查基准!我使用了@Martin-Morgan 帖子中的文字
Use stringi
package - it's even faster than grepl. Check the benchmarks!I used text from @Martin-Morgan post
require(stringi)
require(microbenchmark)
text = readLines("~/Desktop/pg100.txt")
pattern <- strsplit("all the world's a stage and all the people players", " ")[[1]]
grepl_fun <- function(){
lapply(pattern, grepl, text, fixed=TRUE)
}
stri_fixed_fun <- function(){
lapply(pattern, function(x) stri_detect_fixed(text,x,NA))
}
# microbenchmark(grepl_fun(), stri_fixed_fun())
# Unit: milliseconds
# expr min lq median uq max neval
# grepl_fun() 432.9336 435.9666 446.2303 453.9374 517.1509 100
# stri_fixed_fun() 213.2911 218.1606 227.6688 232.9325 285.9913 100
# if you don't believe me that the results are equal, you can check :)
xx <- grepl_fun()
stri <- stri_fixed_fun()
for(i in seq_along(xx)){
print(all(xx[[i]] == stri[[i]]))
}
这篇关于R中的快速部分字符串匹配的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!