Just use select() to create a new DataFrame with only the columns you want. Sort of the opposite of what you want -- but you can select all but the columns you want minus the one you don. You could even use a filter to remove just the one column you want on the fly:
myDF.select(myDF.columns.filter(_ != "column_you_do_not_want").map(colname => new Column(colname)).toList : _* ) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Drop-a-column-from-the-DataFrame-tp22711p22737.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
