Remove strings of different parts of levels in multiple columns-CodePudding

I have the following data:

structure(list(ciclo = c("Basler_2020-12-01 00_34_52.441983_frames_automat.lif", 
"Basler_2020-12-01 00_34_52.441983_frames_automat.lif", "Basler_2020-12-01 00_34_52.441983_frames_automat.lif", 
"Basler_2020-12-01 00_34_52.441983_frames_automat.lif", "Basler_2020-12-01 00_34_52.441983_frames_automat.lif"
), name = c("2020-12-01_00_34_54.029_1009_1943.png", "2020-12-01_00_34_54.029_1025_394.png", 
"2020-12-01_00_34_54.029_1077_1739.png", "2020-12-01_00_34_54.029_1345_631.jpg", 
"2020-12-01_00_34_54.029_1360_1538.jpg")), row.names = c(NA, 
-5L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x0000022bfc1eba70>)

I would remove the names "Basler_" and "_frames_automat.lif" from the first column and the names ".png" and ".jpg" from the second column.

Thanks

CodePudding user response：

using stringr::str_remove_all() can deal with multiple patterns by using the or operator | as per:

library(tidyverse)

df <- df %>% 
  mutate(
    ciclo = str_remove_all(string = ciclo, pattern = "Basler_|_frames_automat.lif"),
    name = str_remove_all(string = name, pattern = ".png|.jpeg")
  )

Hope this is useful