使用 tidyverse 从 R 中的 enite dataframe 中删除字符

Question

I have a data frame that has many columns and many rows

col_1 | col_2 | ... | col_n
---------------------------    
val_1 | val_2 | ... | val_n
val_1 | val_2 | ... | val_n
  .   |   .   |  .  |   . 
  .   |   .   |  .  |   . 
  .   |   .   |  .  |   . 
val_1 | val_2 | ... | val_n

My wish is to remove all commas , from all values with tidyverse.

How can I achieve this?

Answer 1

Use gsub to replace commas and across to apply it for multiple columns.

library(dplyr)
df %>% mutate(across(.fns = ~gsub(',', '', ., fixed = TRUE)))

Or in base R -

df[] <- lapply(df, function(x) gsub(',', '', x, fixed = TRUE))

Answer 2

We could use str_remove_all and this should comply with tidyverse

library(dplyr)
library(stringr)
df <- df %>%
          mutate(across(everything(), str_remove_all, ","))

Answer 3

A base R option using gsub

list2DF(lapply(df, function(v) gsub(",", "", v)))