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

4 votes315 views2 answers
How to make never ending program in python
Python
50 votes227 views3 answers
Pandas save without index
Python
0 vote263 views1 answer
2nd to last index python
Python
1 vote251 views1 answer
Django foreign key field on delete do nothing
Python
1 vote250 views1 answer
Django queryset average of unique values
Python Django
14 votes217 views6 answers
Permutations in python
Python
13 votes314 views1 answer
Flask app starter
Python Flask
0 vote249 views1 answer
Verbose python
Python
0 vote224 views1 answer
Element wise subtraction python list
Python
0 vote239 views1 answer
Python search resultset from finadall
Python