method of dascore.core.spool.BaseSpool source

    self ,
    func:[Patch, …, None] ,
    client: ExecutorType | None = None,
    size: int | None = None,
    progress: bool = True,
    **kwargs ,
)-> ‘list[T]’

Map a function of all the contents of the spool.


Parameter Description
func A callable which takes a patch as its first argument.
client A client, or executor, which has a map method.
size The number of patches in each spool mapped to a client. If not set, defaults to the number of processors on the host. Does nothing unless client is defined.
progress If True, display a progress bar.
**kwargs kwargs passed to func.

When a client is specified, the spool is split then passed to the client’s map method. This is to avoid serializing loaded patches. See Spool.split for more details about the spool_count and spool_size parameters.


import numpy as np
import dascore as dc

spool = dc.get_example_spool("random_das")

# Calculate the std for each channel in 5 second chunks
results = (
     .map(lambda x: np.std(, axis=0))
# stack back into array. dims are (distance, time chunk)
out = np.stack(results, axis=-1)