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PySpark DataFrame | alias method

Machine Learning
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PySpark
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Documentation
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PySpark DataFrame
schedule Jun 17, 2022
Last updated
local_offer PySpark
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PySpark DataFrame's alias(~) method gives an alias to the DataFrame that you can then refer to in string statements.

Parameters

This method does not take any parameters.

Return Value

A PySpark DataFrame.

Examples

Consider the following PySpark DataFrame:

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

Giving an alias to a PySpark DataFrame

Let's give an alias to our DataFrame, and then refer to the DataFrame using the alias:

from pyspark.sql import functions as F
df = df.alias("my_df")
df.select(F.col("my_df.name")).show()
+----+
|name|
+----+
|Alex|
| Bob|
+----+
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Published by Isshin Inada
Edited by 0 others
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