Compute this dask collection
This turns a lazy Dask collection into its in-memory equivalent. For example a Dask array turns into a NumPy array and a Dask dataframe turns into a Pandas dataframe. The entire dataset must fit into memory before calling this operation.
- schedulerstring, optional
Which scheduler to use like “threads”, “synchronous” or “processes”. If not provided, the default is to check the global settings first, and then fall back to the collection defaults.
- optimize_graphbool, optional
If True [default], the graph is optimized before computation. Otherwise the graph is run as is. This can be useful for debugging.
Extra keywords to forward to the scheduler function.