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 vote294 views1 answer
How to apply labelencoder on multiple columns at once
Python
1 vote306 views1 answer
Can we use else without if in python
Python
0 vote325 views1 answer
Django.db.utils.ProgrammingError: can't adapt type 'dict_keys'
Python Django
0 vote305 views1 answer
Pandas column string first n characters
Python
45 votes281 views4 answers
Append to front of list python
Python
4 votes310 views3 answers
Python get os
Python
0 vote276 views1 answer
How to import the whall library in python
Python
0 vote287 views1 answer
No default language could be detected for django app
Python
3 votes271 views1 answer
Tick labels vertical matplotlib
Python
268 votes476 views0 answer
Last element of list python
Python