printSchema

Prints out the schema in the tree format. Optionally allows to specify how many levels to print if schema is nested.

Syntax

printSchema(level: Optional[int] = None)

Parameters

Parameter	Type	Description
level	int, optional	How many levels to print for nested schemas.

Parameter	Type	Description
level	int, optional	How many levels to print for nested schemas.

Examples

Python

df = spark.createDataFrame(
    [(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
df.printSchema()
# root
#  |-- age: long (nullable = true)
#  |-- name: string (nullable = true)

df = spark.createDataFrame([(1, (2, 2))], ["a", "b"])
df.printSchema(1)
# root
#  |-- a: long (nullable = true)
#  |-- b: struct (nullable = true)

df.printSchema(2)
# root
#  |-- a: long (nullable = true)
#  |-- b: struct (nullable = true)
#  |    |-- _1: long (nullable = true)
#  |    |-- _2: long (nullable = true)