Representation of a Lazy computation graph/query against a DataFrame. This allows for whole-query optimisation in addition to parallelism. polars.LazyFrame... · polars.LazyFrame.collect · polars.LazyFrame.join · GroupBy

4 июл. 2023 г. · The LazyDataframe is meant to allow you to use the lazy API based on query optimization that shortcuts the amount of calculations needed by intelligently ... Is there any way to perform a pivot on a Polars LazyFrame? Polars lazyframe not returning specified schema order after ... Adding a column to a Polars LazyFrame with data generated ... Другие результаты с сайта stackoverflow.com

Process the query in batches to handle larger-than-memory data. If set to False (default), the entire query is processed in a single batch.

Start a lazy query from this point. This returns a LazyFrame object. Operations on a LazyFrame are not executed until this is triggered.

19 февр. 2024 г. · LazyFrame is a data structure that allows users to work with large datasets without loading the entire dataset into memory at once.

Add a join operation to the Logical Plan. Join strategy. Note: A left join preserves the row order of the left DataFrame. Checks if join is of specified type.

Lazy abstraction over an eager DataFrame. It really is an abstraction over a logical plan. The methods of this struct will incrementally modify a logical plan ...

Creates a summary of statistics for a LazyFrame, returning a DataFrame. Warning Notes The median is included by default as the 50% percentile.

7 июн. 2023 г. · One of the features in Polars is LazyFrame. Polars is fast as is, and LazyFrame gives you even more optimizations.

Cast all frame columns matching one dtype (or dtype group) to another dtype: >>> lf.cast({pl.Date: pl.Datetime}).collect() shape: (3, 3)