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  * polars.LazyF... 

#  polars.LazyFrame.filter  #

LazyFrame.  filter  (

     _ *  predicates  :  IntoExprColumn  |  Iterable  [  IntoExprColumn  ]  |  [ bool  ](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.12\)") |  [ list  ](https://docs.python.org/3/library/stdtypes.html#list "\(in Python v3.12\)") [  [ bool  ](https://docs.python.org/3/library/functions.html#bool "\(in Python v3.12\)") ]  |  np.ndarray  [  Any  ,  Any  ]  _ , 
     _ **  constraints  :  Any  _ , 
)  →  Self  [ [source]  ](https://github.com/pola-rs/polars/blob/main/py-
polars/polars/lazyframe/frame.py#L2680-L2860) #

    

Filter the rows in the LazyFrame based on a predicate expression.

The original order of the remaining rows is preserved.

Parameters  :

    

**predicates**

    

Expression that evaluates to a boolean Series.

**constraints**

    

Column filters; use ` name  =  value  ` to filter columns by the supplied
value. Each constraint will behave the same as ` pl.col(name).eq(value)  ` ,
and will be implicitly joined with the other filter conditions using ` & ` .

Examples

    
    
    >>> lf = pl.LazyFrame(
    ...     {
    ...         "foo": [1, 2, 3],
    ...         "bar": [6, 7, 8],