Reputation: 173
I'm struggling to use regex so any insight would be helpful. I have a list like this:
[1] "collected 1 hr total. wind >15 mph." "collected 4 hr total.
wind ~15 mph."
[3] "collected 10 hr total. gusts 5-10 mph." "collected 1 hr total.
breeze at 1mph,"
[5] "collected 2 hrs." [6]
I want:
[1] > 15 mph
[2] ~15 mph
[3] 5-10 mph
[4] 1mph
[5]
[6]
And I want to pull out wind speed in each row. Can you suggest the correct regex expression? As you can see, a) there can be a variable number of spaces between the digits & "mph" b) the digits before mph can have different symbols, ">","<", "~" or can be an interval "-"
Thank you in advance!
Upvotes: 2
Views: 38
Reputation: 887391
One option with str_extract
library(stringr)
trimws(str_extract(v1, "[>~]?[0-9- ]+mph"))
#[1] ">15 mph" "~15 mph" "5-10 mph" "1mph" NA
v1 <- c("collected 1 hr total. wind >15 mph.",
"collected 4 hr total. wind ~15 mph.",
"collected 10 hr total. gusts 5-10 mph.",
"collected 1 hr total. breeze at 1mph,",
"collected 2 hrs.")
Upvotes: 1
Reputation: 521794
Assuming that each string only has one matching term at most, then we can try using sapply
along with sub
:
input <- c("collected 1 hr total. wind >15 mph.",
"collected 4 hr total. wind ~15 mph.",
"collected 10 hr total. gusts 5-10 mph.",
"collected 1 hr total. breeze at 1mph,",
"collected 2 hrs.")
matches <- sapply(input, function(x) {
ifelse(grepl("[>~0-9-]+\\s*mph", x),
sub(".*?([>~0-9-]+\\s*mph).*", "\\1", x),
"")})
names(matches) <- c(1:length(matches))
matches
1 2 3 4 5
">15 mph" "~15 mph" "5-10 mph" "1mph" ""
Upvotes: 1