Spark dataframe without column

Since Spark 1.4 you can use drop method:

#Scala
case class Point(x: Int, y: Int)
val df = sqlContext.createDataFrame(Point(0, 0) :: Point(1, 2) :: Nil)
df.drop("y")

#Python
df = sc.parallelize([(0, 0), (1, 2)]).toDF(["x", "y"])
df.drop("y")
## DataFrame[x: bigint]

Source: stackoverflow.com

Similar codes

0 vote195 views1 answer
Regex to find ip address python
Python
2 votes193 views1 answer
None address in python
Python
0 vote189 views1 answer
Python import module from bitbucket
Python
2 votes185 views2 answers
How to check if number is negative in python
Python
1 vote187 views1 answer
How to write words on any other apps in python
Python
0 vote207 views1 answer
Read specific rows from csv in python
Python
0 vote208 views1 answer
Os.system ignore output
Python
1 vote190 views1 answer
Pandas convert all column names to lowercase
Python
39 votes206 views6 answers
Change column name df
Python
1 vote172 views2 answers
Rank function in pandas
Python