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PySpark Column | rlike method

Machine Learning
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PySpark
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PySpark Column
schedule Jul 1, 2022
Last updated
local_offer PySpark
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PySpark Column's rlike(~) method returns a Column of booleans where True corresponds to string column values that match the specified regular expression.

NOTE

The rlike(~) method is the same as the RLIKE operator in SQL.

Parameters

1. str | other

The regular expression to match against.

Return Value

A Column object of booleans.

Examples

Consider the following PySpark DataFrame:

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

Getting rows where values match some regular expression in PySpark DataFrame

To get rows where values match some regex:

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

Here, the regular expression "^A" matches strings that begin with "A". Also, F.col("name").rlike("^A") returns a Column object of booleans:

from pyspark.sql import functions as F
df.select(F.col("name").rlike("^A")).show()
+---------------+
|RLIKE(name, ^A)|
+---------------+
| true|
| false|
+---------------+

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

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Published by Isshin Inada
Edited by 0 others
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