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# PySpark DataFrame | limit method

schedule Aug 12, 2023
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PySpark DataFrame's `limit(~)` method returns a new DataFrame with the number of rows specified.

# Parameters

1. `num` | `number`

The desired number of rows returned.

# Return Value

A PySpark DataFrame (`pyspark.sql.dataframe.DataFrame`).

# Examples

Consider the following PySpark DataFrame:

``` columns = ["name", "age"]data = [("Alex", 15), ("Bob", 20), ("Cathy", 25)]df = spark.createDataFrame(data, columns)df.show() +-----+-----+| name| age|+-----+-----+| Alex| 15|| Bob| 20||Cathy| 25|+-----+-----+ ```

## Getting a subset of rows of a PySpark DataFrame using limit

To limit the number of rows returned to `2`:

``` df.limit(2).show() +----+----+| age|name|+----+----+|Alex| 15|| Bob| 20|+----+----+ ```

Note that `show(~)` method actually has a parameter that limits the number of rows printed:

``` df.show(n=2) +----+----+| age|name|+----+----+|Alex| 15|| Bob| 20|+----+----+ ```
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