我想从一组模式替换为特定的字符串。例如,这些可以是各种不同的月份名称到一个月的数值。我创建了一个字典如下(波兰语月份字符串2数值。
dictionary<-data.frame(
from=c("(S|s)tycz(eń|nia)|(S|s)t(y|ycz)",
"(L|l)ut(y|ego)|(L|l)u(t)",
"(M|m)ar(ca|zec)|(M|m)ar",
"(K|k)wie(tnia|cień)|(K|k)wi(|e)",
"(M|m)aj(a|)",
"(C|c)zerw(ca|iec)|(C|c)e(|r|rw)",
"(L|l)ip(ca|iec)|(L|l)i(|p|c)",
"(S|s)ierp(nia|ień)|(S|s)i(|e|er|erp)",
"(W|w)rze(śnia|sień)|(W|w)rz(|e)",
"(P|p)aździernik(a|)|(P|p)a(ź|źd|źdź)",
"(L|l)istopad(a|)|(L|l)is(|t|to|top)",
"(G|g)rud(nia|zień)|(G|g)ru(|d)"
),
to=c(" 01 "," 02 "," 03 "," 04 "," 05 "," 06 "," 07 "," 08 "," 09 "," 10 "," 11 "," 12 ")
)
我想在一长串脏描述字符串上使用它,稍后我想提取日期。
这些就像:
Badanie zakończy się 28Wrze2018
或
Zakończenie badania 28 Września 2018 najpóźniej...
等数千条记录
我想得到
Badanie zakończy się 28 09 2018
tidyverse中是否有功能或解决方案可以解决问题?到目前为止,我尝试了库(DataCombine),但它不起作用,没有看到我的列作为文本可能有一个错误。
答案 0 :(得分:2)
我认为这是一种for
循环最佳服务的情况。
convert_date <- function(x){
dictionary<-data.frame(
from=c("(S|s)tycz(eń|nia)|(S|s)t(y|ycz)",
"(L|l)ut(y|ego)|(L|l)u(t)",
"(M|m)ar(ca|zec)|(M|m)ar",
"(K|k)wie(tnia|cień)|(K|k)wi(|e)",
"(M|m)aj(a|)",
"(C|c)zerw(ca|iec)|(C|c)e(|r|rw)",
"(L|l)ip(ca|iec)|(L|l)i(|p|c)",
"(S|s)ierp(nia|ień)|(S|s)i(|e|er|erp)",
"(W|w)rze(śnia|sień)|(W|w)rz(|e)",
"(P|p)aździernik(a|)|(P|p)a(ź|źd|źdź)",
"(L|l)istopad(a|)|(L|l)is(|t|to|top)",
"(G|g)rud(nia|zień)|(G|g)ru(|d)"
),
to=c(" 01 "," 02 "," 03 "," 04 "," 05 "," 06 "," 07 "," 08 "," 09 "," 10 "," 11 "," 12 "),
stringsAsFactors = FALSE
)
for (i in seq_len(nrow(dictionary))){
x <- gsub(dictionary$from[i],
dictionary$to[i],
x)
}
x
}
答案 1 :(得分:1)
使用{/ 1}}
stringr
然而,请注意,而
dictionary <- setNames(
c(" 01 "," 02 "," 03 "," 04 "," 05 "," 06 "," 07 "," 08 "," 09 "," 10 "," 11 "," 12 "),
c("(S|s)tycz(eń|nia)|(S|s)t(y|ycz)",
"(L|l)ut(y|ego)|(L|l)u(t)",
"(M|m)ar(ca|zec)|(M|m)ar",
"(K|k)wie(tnia|cień)|(K|k)wi(|e)",
"(M|m)aj(a|)",
"(C|c)zerw(ca|iec)|(C|c)e(|r|rw)",
"(L|l)ip(ca|iec)|(L|l)i(|p|c)",
"(S|s)ierp(nia|ień)|(S|s)i(|e|er|erp)",
"(W|w)rze(śnia|sień)|(W|w)rz(|e)",
"(P|p)aździernik(a|)|(P|p)a(ź|źd|źdź)",
"(L|l)istopad(a|)|(L|l)is(|t|to|top)",
"(G|g)rud(nia|zień)|(G|g)ru(|d)"
)
)
str_replace_all(string, dictionary)
按预期工作,我们得到
str_replace_all("Zakończenie badania 28 Września 2018 najpóźniej...", dictionary)
# [1] "Zakończenie badania 28 09 2018 najpóźniej..."
因为str_replace_all("Badanie zakończy się 28Wrze2018 ", dictionary)
# [1] "Badanie zakończy 08 ę 28 09 e2018 "
与8月匹配。因此,您需要使用有关这些月份名称出现的知识来改进字典。