cf.Data.persist

Data.persist(inplace=False)

Persist the underlying dask array into memory.

This turns an underlying lazy dask array into a equivalent chunked dask array, but now with the results fully computed.

persist is particularly useful when using distributed systems, because the results will be kept in distributed memory, rather than returned to the local process.

Compare with compute and array.

Performance

persist causes all delayed operations to be computed.

New in version 3.14.0.

See also

compute, array, datetime_array, dask.array.Array.persist

Parameters

inplace: bool, optional

If True then do the operation in-place and return None.

Returns

Data or None

The persisted data. If the operation was in-place then None is returned.

Examples

>>> e = d.persist()