dask_expr._collection.Index.compute
dask_expr._collection.Index.compute¶
- Index.compute(fuse=True, concatenate=True, **kwargs)¶
Compute this DataFrame.
This turns a lazy Dask DataFrame into an in-memory pandas DataFrame. The entire dataset must fit into memory before calling this operation.
The optimizer runs over the DataFrame before triggering the computation. The optimizer injects a repartition operation that reduces the partition count to 1 to enable better optimization strategies.
- Parameters
- fusebool, default True
Whether to fuse the expression tree before computing. Fusing significantly reduces the number of tasks and improves performance. It shouldn’t be disabled unless absolutely necessary.
- concatenatebool, default True
Whether to concatenate all partitions into a single one before computing. Concatenating enables more powerful optimizations but it also incurs additional data transfer cost. Generally, it should be enabled.
- kwargs
Extra keywords to forward to the base compute function.
See also