itsh5py.LazyHdfDict

class itsh5py.LazyHdfDict(_h5file=None, group='/', *args, **kwargs)

Helps loading data only if values from the dict are requested. This is done by reimplementing the __getitem__ method from dict. Other convenience functions are added to work with the hdf files as backend.

Parameters

• _h5file ('h5py.File', optional) – h5py File object or None

• group (str, optional) – Group to anchor the LazyHdfDict into.

• args – Passed to the parent UserDcit implemented type.

• kwargs – Passed to the parent UserDcit implemented type.

__init__(_h5file=None, group='/', *args, **kwargs)

Methods

__init__([_h5file, group])
clear()
close()	Closes the h5file if provided at initialization.
copy()
fromkeys(iterable[, value])
get(k[,d])
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
setdefault(k[,d])
unlazy()	Unpacks all datasets and closes the Lazy reference
update([E, ]**F)	If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
values()

Attributes

group	Root group of the LazyHdfDict.
h5file	File handle of the h5py.File() object behind the LazyHdfDict.

property h5file

File handle of the h5py.File() object behind the LazyHdfDict.

property group

Root group of the LazyHdfDict.

unlazy()

Unpacks all datasets and closes the Lazy reference

close()

Closes the h5file if provided at initialization.

Unpackig will keep on working using the fallback routine if enabled.