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

19 votes167 views5 answers
List to dictionary
Python
0 vote200 views1 answer
Selenium press tab python
Python
0 vote162 views1 answer
Python import
Python
0 vote165 views1 answer
Python printing hello world
Python
0 vote187 views1 answer
Dockerize django app
Python Django
0 vote164 views1 answer
Create button in pyqt
Python
1 vote168 views1 answer
How to config your flask for gmail
Python
5 votes161 views2 answers
Check if dataframe contains infinity
Python
0 vote193 views1 answer
Mypy clear cache
Python
7 votes163 views2 answers
Load img cv2
Python