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ParametersReturn ValueExamplesConcatenating multiple string columns in PySpark
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chevron_leftPySpark SQL Functions
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PySpark SQL Functions | concat_ws method

schedule Aug 12, 2023
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PySpark SQL Functions' concat_ws(~) method concatenates string-typed columns into a single column with the specified separator.

Parameters

1. sep | string

The separator to use when concatenating the columns.

2. *cols | Column objects

The string-based columns to concatenate. If the type of the columns is not string, then automatic casting will be performed. If casting fails, then an error is thrown.

Return Value

A PySpark SQL Column object (pyspark.sql.column.Column).

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([("a", "b"), ("c", "d"), ("e", "f")], ["ONE", "TWO"])
df.show()
+---+---+
|ONE|TWO|
+---+---+
| a| b|
| c| d|
| e| f|
+---+---+

Concatenating multiple string columns in PySpark

To create a new PySpark DataFrame that combines the two string-typed columns:

import pyspark.sql.functions as F
df.select(F.concat_ws("-", df.ONE, df.TWO).alias("NEW")).show()
+---+
|NEW|
+---+
|a-b|
|c-d|
|e-f|
+---+

Here, we are using the alias(~) function of the Column object to supply the name of the newly combined column.

Note that we can combine more than two columns at once:

df.select(F.concat_ws("-", df.ONE, df.TWO, df.ONE).alias("NEW")).show()
+-----+
| NEW|
+-----+
|a-b-a|
|c-d-c|
|e-f-e|
+-----+
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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.functions.concat_ws.html
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