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    * [ polars.threadpool_size ](../../api/polars.threadpool_size.html)

  * [ __ ](../../../index.html)
  * [ Python API reference ](../../index.html)
  * __
  * [ Manipulation/selection ](../modify_select.html)
  * polars.LazyF... 

#  polars.LazyFrame.head  #

LazyFrame.  head  (  _ n  :  [ int
](https://docs.python.org/3/library/functions.html#int "\(in Python v3.12\)")
=  5  _ )  →  Self  [ [source]  ](https://github.com/pola-
rs/polars/blob/main/py-polars/polars/lazyframe/frame.py#L4562-L4609) #

    

Get the first ` n  ` rows.

Parameters  :

    

**n**

    

Number of rows to return.

Notes

Consider using the [ ` fetch()  `
](polars.LazyFrame.fetch.html#polars.LazyFrame.fetch "polars.LazyFrame.fetch")
operation if you only want to test your query. The [ ` fetch()  `
](polars.LazyFrame.fetch.html#polars.LazyFrame.fetch "polars.LazyFrame.fetch")
operation will load the first ` n  ` rows at the scan level, whereas the [ `
head()  ` ](../../expressions/api/polars.head.html#polars.head "polars.head")
/ [ ` limit()  ` ](polars.LazyFrame.limit.html#polars.LazyFrame.limit
"polars.LazyFrame.limit") are applied at the end.

Examples

    
    
    >>> lf = pl.LazyFrame(
    ...     {
    ...         "a": [1, 2, 3, 4, 5, 6],
    ...         "b": [7, 8, 9, 10, 11, 12],
    ...     }
    ... )
    >>> lf.head().collect()
    shape: (5, 2)
    ┌─────┬─────┐
    │ a   ┆ b   │
    │ --- ┆ --- │
    │ i64 ┆ i64 │