ray.data.Dataset.iter_rows

Dataset.iter_rows(*, prefetch_blocks: int = 0) → Iterable[Dict[str, Any]]

Return an iterable over the rows in this dataset.

Note

This operation will trigger execution of the lazy transformations performed on this dataset.

Examples

>>> import ray
>>> for row in ray.data.range(3).iter_rows():
...     print(row)
{'id': 0}
{'id': 1}
{'id': 2}

Time complexity: O(1)

Parameters

prefetch_blocks – The number of blocks to prefetch ahead of the current block during the scan.

Returns

An iterable over the rows in this dataset.