CODEWITHSUNDEEP
r
Jd Baba
Jd Baba

Reputation: 6118

Remove dots from column names

I have a dataframe with several columns and I want to remove the dots on the column name. The data is as follows:

structure(list(JulDay = c(260.0208435, 260.0416565, 260.0625, 
260.0833435, 260.1041565, 260.125), i.46.j.8.k.1 = c(17.99964905, 
18.5903511, 22.93223381, 25.75687981, 25.78559113, 25.8169651
), i.47.j.8.k.1 = c(18.36571884, 21.15985107, 24.80698013, 25.75730324, 
25.78366089, 25.65381622), i.48.j.8.k.1 = c(18.45543289, 22.02331543, 
24.99463654, 25.5712738, 25.64232635, 25.66119385), i.46.j.8.k.2 = c(17.99798965, 
18.60897827, 22.95389748, 25.75719261, 25.78653336, 25.81692505
), i.47.j.8.k.2 = c(18.36762619, 21.17233467, 24.82248497, 25.75767899, 
25.7840023, 25.64115906), i.48.j.8.k.2 = c(18.45938683, 22.04619026, 
24.9859066, 25.56440544, 25.63998032, 25.66089439), i.46.j.8.k.3 = c(17.99430084, 
17.92090797, 19.67384911, 21.70389938, 23.67287827, 24.04380417
), i.47.j.8.k.3 = c(18.36631203, 19.82550049, 21.42166328, 23.76496887, 
24.87460899, 25.41026688), i.48.j.8.k.3 = c(18.44684792, 20.60981369, 
22.68632317, 24.1877079, 25.12503052, 24.99880028), i.46.j.8.k.4 = c(17.98368073, 
17.92047691, 18.11532974, 18.67082596, 20.23210907, 21.7181263
), i.47.j.8.k.4 = c(18.33089066, 18.41581535, 18.53464127, 19.18972206, 
20.14752388, 20.11002922), i.48.j.8.k.4 = c(18.21522522, 18.52231598, 
19.21397209, 19.58755302, 20.11982536, 21.28104591)), .Names = c("JulDay", 
"i.46.j.8.k.1", "i.47.j.8.k.1", "i.48.j.8.k.1", "i.46.j.8.k.2", 
"i.47.j.8.k.2", "i.48.j.8.k.2", "i.46.j.8.k.3", "i.47.j.8.k.3", 
"i.48.j.8.k.3", "i.46.j.8.k.4", "i.47.j.8.k.4", "i.48.j.8.k.4"
), row.names = c(NA, 6L), class = "data.frame")

Can anyone let me know how to remove the dots from column names ?

I want something like i46j8k1, i47j8k1, i48j8k1.

For this simple data set I could manually replace the name, but I need to do this for several data sets.

Upvotes: 21

Views: 39785

Answers (2)

24lindsey
24lindsey

Reputation: 361

library(janitor)

mydf %>%
  clean_names()

The clean_names function in janitor package will remove any characters that are not lower-case letters, underscores, or numbers. It may convert the periods to underscores though, so if your goal is to get rid of that character completely the gsub solution will work best.

Upvotes: 11

A5C1D2H2I1M1N2O1R2T1
A5C1D2H2I1M1N2O1R2T1

Reputation: 193637

One straightforward way is to use gsub to remove the periods from the column names:

> names(mydf)
 [1] "JulDay"       "i.46.j.8.k.1" "i.47.j.8.k.1" "i.48.j.8.k.1" "i.46.j.8.k.2"
 [6] "i.47.j.8.k.2" "i.48.j.8.k.2" "i.46.j.8.k.3" "i.47.j.8.k.3" "i.48.j.8.k.3"
[11] "i.46.j.8.k.4" "i.47.j.8.k.4" "i.48.j.8.k.4"
> names(mydf) <- gsub("\\.", "", names(mydf))
> names(mydf)
 [1] "JulDay"  "i46j8k1" "i47j8k1" "i48j8k1" "i46j8k2" "i47j8k2" "i48j8k2" "i46j8k3"
 [9] "i47j8k3" "i48j8k3" "i46j8k4" "i47j8k4" "i48j8k4"

Upvotes: 41

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