performance about withColumn many times or use udf

I have a curious question about dataframe, I saw this code

 df.
  withColumn("emailF", trim($"email")).
  withColumn("emailF", regexp_replace($"emailF", " +", "")).
  withColumn("emailF", lower($"emailF"))
.
.
.

But I said that I prefer to use udf function to apply all rules to format email, a udf like this:

val customUdf = udf((txt:String) => {
txt.toLower.trim.replaceAll(" +","")
//another logic
})

my question is: What is better? use multiple withColumn in the same column to apply multiple functions or use a one function and apply all rules inside.

thanks for your answers and suggestions.