ray.data.Dataset.to_modin#

Dataset.to_modin() modin.DataFrame[source]#

Convert this dataset into a Modin dataframe.

This works by first converting this dataset into a distributed set of Pandas dataframes (using .to_pandas_refs()). Please see caveats there. Then the individual dataframes are used to create the modin DataFrame using modin.distributed.dataframe.pandas.partitions.from_partitions().

This is only supported for datasets convertible to Arrow records. This function induces a copy of the data. For zero-copy access to the underlying data, consider using .to_arrow() or .get_internal_block_refs().

Note

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

Time complexity: O(dataset size / parallelism)

Returns

A Modin dataframe created from this dataset.