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ParametersReturn ValueExamplesPrinting the name and type of each column (schema) in PySpark DataFrame
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PySpark DataFrame | printSchema method

schedule Aug 12, 2023
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PySpark DataFrame's printSchema(~) method prints the schema, that is, the columns' name and type of the DataFrame.

Parameters

This method does not take in any parameters

Return Value

None.

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 20], ["Bob", 30]], ["name", "age"])
df.show()
+----+---+
|name|age|
+----+---+
|Alex| 20|
| Bob| 30|
+----+---+

Printing the name and type of each column (schema) in PySpark DataFrame

To obtain the schema, or the name and type of each column of our DataFrame:

df.printSchema()
root
|-- name: string (nullable = true)
|-- age: long (nullable = true)
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Published by Isshin Inada
Edited by 0 others
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Official PySpark Documentation
https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.DataFrame.printSchema.html
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