lp.read_parquet

Reads a Parquet file and returns a LazyFrame.

Parameters:

Name	Type	Description	Default
`path`	`str`	Path to the Parquet file.	required
`columns`	`list[str] \| None`	List of column names to read from the file. If None, all columns are read.	`None`
`include_file_row_number`	`bool`	If True, includes a column with the row number from the file.	`False`
`include_filename`	`bool`	If True, includes a column with the filename.	`False`
`use_hive_partitioning`	`bool`	If True, enables Hive partitioning.	`False`
`union_by_name`	`bool`	If True, unions files by column name.	`False`
`compression`	`str \| None`	Compression type to use when reading the Parquet file.	`None`

Returns:

Name	Type	Description
`LazyFrame`	`LazyFrame`	A LazyFrame containing the data from the Parquet file.

Example:

import lazy_pandas as lp
df = lp.read_parquet('data.parquet', columns=['column1', 'column2'])
df.head()