sdf_xarray.SDFDataStore

class sdf_xarray.SDFDataStore(manager, drop_variables=None, keep_particles=False, deck_path=None, lock=None, probe_names=None)

Bases: AbstractDataStore

Store for reading and writing data via the SDF library.

__init__(manager, drop_variables=None, keep_particles=False, deck_path=None, lock=None, probe_names=None)

Methods

__init__(manager[, drop_variables, ...])
acquire_context([needs_lock])
close(**kwargs)
get_attrs()
get_child_store(group)	Get a store corresponding to the indicated child group.
get_dimensions()
get_encoding()
get_parent_dimensions()
get_variables()
load()	This loads the variables and attributes simultaneously.
open(filename[, lock, drop_variables, ...])

Attributes

deck_path
drop_variables
keep_particles
lock
probe_names
ds

acquire_context(needs_lock=True)

close(**kwargs)

deck_path

drop_variables

property ds

keep_particles

load()

This loads the variables and attributes simultaneously. A centralized loading function makes it easier to create data stores that do automatic encoding/decoding.

For example:

class SuffixAppendingDataStore(AbstractDataStore):
    def load(self):
        variables, attributes = AbstractDataStore.load(self)
        variables = {"%s_suffix" % k: v for k, v in variables.items()}
        attributes = {"%s_suffix" % k: v for k, v in attributes.items()}
        return variables, attributes

This function will be called anytime variables or attributes are requested, so care should be taken to make sure its fast.

lock

classmethod open(filename, lock=None, drop_variables=None, keep_particles=False, probe_names=None, deck_path=None)

probe_names