def lazy(self) -> "pypolars.lazy.LazyFrame":
"""
Start a lazy query from this point. This returns a `LazyFrame` object.
Operations on a `LazyFrame` are not executed until this is requested by either calling:
* `.fetch()` (run on a small number of rows)
* `.collect()` (run on all data)
* `.describe_plan()` (print unoptimized query plan)
* `.describe_optimized_plan()` (print optimized query plan)
* `.show_graph()` (show (un)optimized query plan) as graphiz graph.
Lazy operations are advised because the allow for query optimization and more parallelization.
"""
from pypolars.lazy import wrap_ldf
return wrap_ldf(self._df.lazy())
def lazy(self) -> "pypolars.lazy.LazyFrame":
from pypolars.lazy import wrap_ldf
return wrap_ldf(self._df.lazy())