ParquetPandasReader

class ParquetPandasReader

Parquet reader for the most common Parquet reading arguments.

Reads input file as a pandas.DataFrame.

chunksize

number of rows of the file to process at once. For large files, this can prevent loading the entire file into memory at once.

Type:

int

column_names

Names of columns to use from the input dataset. If None, use all columns.

Type:

list[str] or None

iterate_by_row_groups

whether to read the file by row groups.

Type:

bool

kwargs

arguments to pass along to pyarrow.parquet.ParquetFile. See https://arrow.apache.org/docs/python/generated/pyarrow.parquet.ParquetFile.html

Methods

__init__([chunksize, column_names, ...])
read(input_file[, read_columns])	Read the input file, or chunk of the input file.
read_index_file(input_file[, upath_kwargs])	Read an "indexed" file.
regular_file_exists(input_file, **_kwargs)	Check that the input_file points to a single regular file

__init__(chunksize=500000, column_names=None, iterate_by_row_groups=False, **kwargs)

classmethod __new__(*args, **kwargs)