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PySpark Column | contains method

Machine Learning
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PySpark
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PySpark Column
schedule Jul 1, 2022
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PySpark Column's contains(~) method returns a Column object of booleans where True corresponds to column values that contain the specified substring.

Parameters

1. other | string or Column

A string or a Column to perform the check.

Return Value

A Column object of booleans.

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 20], ["Bob", 30], ["Cathy", 40]], ["name", "age"])
df.show()
+-----+---+
| name|age|
+-----+---+
| Alex| 20|
| Bob| 30|
|Cathy| 40|
+-----+---+

Getting rows that contain a substring in PySpark DataFrame

To get rows that contain the substring "le":

from pyspark.sql import functions as F
df.filter(F.col("name").contains("le")).show()
+----+---+
|name|age|
+----+---+
|Alex| 20|
+----+---+

Here, F.col("name").contains("le") returns a Column object holding booleans where True corresponds to strings that contain the substring "le":

df.select(F.col("name").contains("le")).show()
+------------------+
|contains(name, le)|
+------------------+
| true|
| false|
| false|
+------------------+

In our solution, we use the filter(~) method to extract rows that correspond to True.

robocat
Published by Isshin Inada
Edited by 0 others
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