How to drop multiple column names given in a list from Spark DataFrame?

You can use the * operator to pass the contents of your list as arguments to drop():

df.drop(*drop_lst)

You can give column name as comma separated list e.g.

df.drop("col1","col11","col21")

This is how drop specified number of consecutive columns in scala:

val ll = dfwide.schema.names.slice(1,5)
dfwide.drop(ll:_*).show

slice take two parameters star index and end index.

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