pyarrow.RecordBatchFileReader¶
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class
pyarrow.RecordBatchFileReader(source, footer_offset=None)[source]¶ Bases:
pyarrow.lib._RecordBatchFileReader,pyarrow.ipc._ReadPandasOptionClass 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
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__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(**options)Read contents of stream and convert to pandas.DataFrame using Table.to_pandas Attributes
num_record_batchesschema-
get_batch(self, int i)¶
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get_record_batch()¶ _RecordBatchFileReader.get_batch(self, int i)
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num_record_batches¶
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read_all(self)¶ Read all record batches as a pyarrow.Table
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read_pandas(**options)¶ Read contents of stream and convert to pandas.DataFrame using Table.to_pandas
Parameters: **options (arguments to forward to Table.to_pandas) – Returns: df (pandas.DataFrame)
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schema¶