pyarrow.csv.CSVStreamingReader#
- class pyarrow.csv.CSVStreamingReader#
Bases:
RecordBatchReader
An object that reads record batches incrementally from a CSV file.
Should not be instantiated directly by user code.
- __init__(*args, **kwargs)#
Methods
__init__
(*args, **kwargs)close
(self)Release any resources associated with the reader.
from_batches
(Schema schema, batches)Create RecordBatchReader from an iterable of batches.
Iterate over record batches from the stream along with their custom metadata.
read_all
(self)Read all record batches as a pyarrow.Table.
read_next_batch
(self)Read next RecordBatch from the stream.
Read next RecordBatch from the stream along with its custom metadata.
read_pandas
(self, **options)Read contents of stream to a pandas.DataFrame.
Attributes
- close(self)#
Release any resources associated with the reader.
- static from_batches(Schema schema, batches)#
Create RecordBatchReader from an iterable of batches.
- Parameters:
- schema
Schema
The shared schema of the record batches
- batches
Iterable
[RecordBatch
] The batches that this reader will return.
- schema
- Returns:
- readerRecordBatchReader
- iter_batches_with_custom_metadata(self)#
Iterate over record batches from the stream along with their custom metadata.
- Yields:
RecordBatchWithMetadata
- read_next_batch(self)#
Read next RecordBatch from the stream.
- Returns:
- Raises:
- StopIteration:
At end of stream.
- read_next_batch_with_custom_metadata(self)#
Read next RecordBatch from the stream along with its custom metadata.
- Returns:
- batch
RecordBatch
- custom_metadata
KeyValueMetadata
- batch
- Raises:
- StopIteration:
At end of stream.
- 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.
- Parameters:
- **options
Arguments to forward to
Table.to_pandas()
.
- Returns:
- schema#