How to delete columns in pyspark dataframe

Question

>>> a
DataFrame[id: bigint, julian_date: string, user_id: bigint]
>>> b
DataFrame[id: bigint, quan_created_money: decimal(10,0), quan_created_cnt: bigi         


        

Answer 1

You can delete column like this:

df.drop("column Name).columns

In your case :

df.drop("id").columns

If you want to drop more than one column you can do:

dfWithLongColName.drop("ORIGIN_COUNTRY_NAME", "DEST_COUNTRY_NAME")