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# PySpark RDD | filter method

schedule Aug 12, 2023
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PySpark RDD's `filter(~)` method extracts a subset of the data based on the given function.

# Parameters

1. `f` | `function`

A function that takes in as input an item of the RDD's data and returns a boolean where:

• `True` indicates keeping

• `False` indicates ignoring.

# Return Value

A PySpark RDD (`pyspark.rdd.PipelinedRDD`).

# Examples

Consider the following RDD:

``` rdd = sc.parallelize([4,2,5,7])rdd ParallelCollectionRDD[7] at readRDDFromInputStream at PythonRDD.scala:413 ```

## Filtering elements of a RDD

To obtain a new RDD where the values are all strictly larger than 3:

``` new_rdd = rdd.filter(lambda x: x > 3)new_rdd.collect() [4, 5, 7] ```

Here, the `collect()` method is used to retrieve the content of the RDD as a single list.

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