polars.LazyFrame.collect

LazyFrame.collect(type_coercion: bool = True, predicate_pushdown: bool = True, projection_pushdown: bool = True, simplify_expression: bool = True, string_cache: bool = False, no_optimization: bool = False, slice_pushdown: bool = True) polars.internals.lazy_frame.DF

Collect into a DataFrame.

Note: use fetch if you want to run this query on the first n rows only. This can be a huge time saver in debugging queries.

Parameters
type_coercion

Do type coercion optimization.

predicate_pushdown

Do predicate pushdown optimization.

projection_pushdown

Do projection pushdown optimization.

simplify_expression

Run simplify expressions optimization.

string_cache

This argument is deprecated. Please set the string cache globally.

Use a global string cache in this query. This is needed if you want to join on categorical columns.

Caution!

If you already have set a global string cache, set this to False as this will reset the global cache when the query is finished.

no_optimization

Turn off (certain) optimizations.

slice_pushdown

Slice pushdown optimization.

Returns
DataFrame