我想使用描述为here的正则表达式从句子中提取二元组,并将输出存储到引用原始列的新列中。
library(dplyr)
library(stringr)
library(splitstackshape)
df <- data.frame(a =c("apple orange plum"))
# Single Words - Successful
df %>%
# Base R
mutate(b = sapply(regmatches(a,gregexpr("\\w+\\b", a, perl = TRUE)),
paste, collapse=";")) %>%
# Duplicate with Stringr
mutate(c = sapply(str_extract_all(a,"\\w+\\b"),paste, collapse=";")) %>%
cSplit(., c(2,3), sep = ";", direction = "long")
最初,我认为问题似乎出在正则表达式引擎上,但是stringr::str_extract_all
(ICU)和base::regmatches
(PCRE)都不起作用。
# Bigrams - Fails
df %>%
# Base R
mutate(b = sapply(regmatches(a,gregexpr("(?=(\\b\\w+\\s+\\w+))", a, perl = TRUE)),
paste, collapse=";")) %>%
# Duplicate with Stringr
mutate(c = sapply(str_extract_all(a,"(?=(\\b\\w+\\s+\\w+))"),paste, collapse=";")) %>%
cSplit(., c(2,3), sep = ";", direction = "long")
因此,我猜测问题可能与在捕获组周围使用零宽度的超前查找有关。 R中是否有任何有效的正则表达式可以提取这些二元组?
答案 0 :(得分:1)
如@WiktorStribiżew建议的那样,在此处使用str_extract_all
会有所帮助。这是在数据框中将其应用于多行的方法。让
(df <- data.frame(a = c("one two three", "four five six")))
# a
# 1 one two three
# 2 four five six
那我们可以做
df %>% rowwise() %>%
do(data.frame(., b = str_match_all(.$a, "(?=(\\b\\w+\\s+\\w+))")[[1]][, 2], stringsAsFactors = FALSE))
# Source: local data frame [4 x 2]
# Groups: <by row>
#
# A tibble: 4 x 2
# a b
# * <fct> <chr>
# 1 one two three one two
# 2 one two three two three
# 3 four five six four five
# 4 four five six five six
其中stringsAsFactors = FALSE
只是为了避免来自绑定行的警告。