pyarrow.RecordBatchFileReader¶

class pyarrow.RecordBatchFileReader(source, footer_offset=None)[source]¶

Bases: pyarrow.lib._RecordBatchFileReader

Class for reading Arrow record batch data from the Arrow binary file format

Parameters

source (bytes/buffer-like, pyarrow.NativeFile, or file-like Python object) – Either an in-memory buffer, or a readable file object
footer_offset (int, default None) – If the file is embedded in some larger file, this is the byte offset to the very end of the file data

__init__(source, footer_offset=None)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(source[, footer_offset])	Initialize self.
`get_batch`(self, int i)
`get_record_batch`	_RecordBatchFileReader.get_batch(self, int i)
`read_all`(self)	Read all record batches as a pyarrow.Table
`read_pandas`(self, **options)	Read contents of stream to a pandas.DataFrame.

Attributes

`num_record_batches`
`schema`

read_pandas(self, **options)¶

Read contents of stream to a pandas.DataFrame.

Read all record batches as a pyarrow.Table then convert it to a pandas.DataFrame using Table.to_pandas.