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

11 votes124 views2 answers
Is python a programming language
Python
3 votes116 views3 answers
Python selenium clear input
Python
0 vote131 views1 answer
How to standardize the image data to have values between 0 and 1
Python
15 votes133 views5 answers
Python http server
Python
4 votes121 views1 answer
Get path to file without filename python
Python
1 vote133 views1 answer
Sum along axis python
Python
0 vote123 views1 answer
Onlinecourses.osppro.com
Python
0 vote90 views1 answer
Ai chatbot python
Python
0 vote121 views2 answers
Python union type
Python
1 vote123 views1 answer
Run 2 loops simultaneously python
Python