select

Projects a set of expressions and returns a new DataFrame.

Syntax

select(*cols: "ColumnOrName")

Parameters

Parameter	Type	Description
cols	str, Column, or list	column names (string) or expressions (Column). If one of the column names is '*', that column is expanded to include all columns in the current DataFrame.

Returns

DataFrame: A DataFrame with subset (or all) of columns.

Examples

df = spark.createDataFrame([
    (2, "Alice"), (5, "Bob")], schema=["age", "name"])

df.select('*').show()
# +---+-----+
# |age| name|
# +---+-----+
# |  2|Alice|
# |  5|  Bob|
# +---+-----+

df.select(df.name, (df.age + 10).alias('age')).show()
# +-----+---+
# | name|age|
# +-----+---+
# |Alice| 12|
# |  Bob| 15|
# +-----+---+