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- _abcoll.MutableMapping(_abcoll.Mapping)
-
- Group
-
- File
class File(Group) |
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Wrapper for h5py.File, using serialization for objects that normally
would not be able to be stored in a HDF5 file.
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- Method resolution order:
- File
- Group
- _abcoll.MutableMapping
- _abcoll.Mapping
- _abcoll.Sized
- _abcoll.Iterable
- _abcoll.Container
- __builtin__.object
Methods defined here:
- __enter__(self)
- __exit__(self, exc_type, exc_value, exc_traceback)
- __init__(self, name, mode=None, driver=None, libver=None, pickle=True, unpickle=True, return_value=True, **kwargs)
- close(self)
- flush(self)
Data descriptors defined here:
- attrs
- driver
- fid
- filename
- libver
- mode
Data and other attributes defined here:
- __abstractmethods__ = frozenset([])
- __created__ = '2013-07-07'
- __modified__ = '2013-07-18'
Methods inherited from Group:
- __contains__(self, name)
- __delitem__(self, key)
- __getitem__(self, key)
- __iter__(self)
- __len__(self)
- __repr__(self)
- __setitem__(self, key, obj)
- copy(self, source, dest, name=None)
- create_dataset(self, name, shape=None, dtype=None, data=None, **kwargs)
- create_group(self, name)
- get(self, name, default=None, getclass=False, getlink=False)
- require_dataset(self, name, shape, dtype, exact=False, **kwargs)
- require_group(self, name)
- visit(self, func)
- visititems(self, func)
Methods inherited from _abcoll.MutableMapping:
- clear(self)
- D.clear() -> None. Remove all items from D.
- pop(self, key, default=<object object>)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised.
- popitem(self)
- D.popitem() -> (k, v), remove and return some (key, value) pair
as a 2-tuple; but raise KeyError if D is empty.
- setdefault(self, key, default=None)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(*args, **kwds)
- D.update([E, ]**F) -> None. Update D from mapping/iterable E and 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
Methods inherited from _abcoll.Mapping:
- __eq__(self, other)
- __ne__(self, other)
- items(self)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(self)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(self)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(self)
- D.itervalues() -> an iterator over the values of D
- keys(self)
- D.keys() -> list of D's keys
- values(self)
- D.values() -> list of D's values
Data and other attributes inherited from _abcoll.Mapping:
- __hash__ = None
Class methods inherited from _abcoll.Sized:
- __subclasshook__(cls, C) from abc.ABCMeta
Data descriptors inherited from _abcoll.Sized:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from _abcoll.Sized:
- __metaclass__ = <class 'abc.ABCMeta'>
- Metaclass for defining Abstract Base Classes (ABCs).
Use this metaclass to create an ABC. An ABC can be subclassed
directly, and then acts as a mix-in class. You can also register
unrelated concrete classes (even built-in classes) and unrelated
ABCs as 'virtual subclasses' -- these and their descendants will
be considered subclasses of the registering ABC by the built-in
issubclass() function, but the registering ABC won't show up in
their MRO (Method Resolution Order) nor will method
implementations defined by the registering ABC be callable (not
even via super()).
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class Group(_abcoll.MutableMapping) |
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Wrapper for h5py.Group, using serialization for objects that normally
would not be able to be stored in a HDF5 file.
|
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- Method resolution order:
- Group
- _abcoll.MutableMapping
- _abcoll.Mapping
- _abcoll.Sized
- _abcoll.Iterable
- _abcoll.Container
- __builtin__.object
Methods defined here:
- __contains__(self, name)
- __delitem__(self, key)
- __getitem__(self, key)
- __init__(self, h5group, pickle=True, unpickle=True, return_value=True)
- __iter__(self)
- __len__(self)
- __repr__(self)
- __setitem__(self, key, obj)
- copy(self, source, dest, name=None)
- create_dataset(self, name, shape=None, dtype=None, data=None, **kwargs)
- create_group(self, name)
- get(self, name, default=None, getclass=False, getlink=False)
- require_dataset(self, name, shape, dtype, exact=False, **kwargs)
- require_group(self, name)
- visit(self, func)
- visititems(self, func)
Data and other attributes defined here:
- __abstractmethods__ = frozenset([])
- __created__ = '2013-07-07'
- __modified__ = '2013-07-07'
Methods inherited from _abcoll.MutableMapping:
- clear(self)
- D.clear() -> None. Remove all items from D.
- pop(self, key, default=<object object>)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised.
- popitem(self)
- D.popitem() -> (k, v), remove and return some (key, value) pair
as a 2-tuple; but raise KeyError if D is empty.
- setdefault(self, key, default=None)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(*args, **kwds)
- D.update([E, ]**F) -> None. Update D from mapping/iterable E and 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
Methods inherited from _abcoll.Mapping:
- __eq__(self, other)
- __ne__(self, other)
- items(self)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(self)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(self)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(self)
- D.itervalues() -> an iterator over the values of D
- keys(self)
- D.keys() -> list of D's keys
- values(self)
- D.values() -> list of D's values
Data and other attributes inherited from _abcoll.Mapping:
- __hash__ = None
Class methods inherited from _abcoll.Sized:
- __subclasshook__(cls, C) from abc.ABCMeta
Data descriptors inherited from _abcoll.Sized:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from _abcoll.Sized:
- __metaclass__ = <class 'abc.ABCMeta'>
- Metaclass for defining Abstract Base Classes (ABCs).
Use this metaclass to create an ABC. An ABC can be subclassed
directly, and then acts as a mix-in class. You can also register
unrelated concrete classes (even built-in classes) and unrelated
ABCs as 'virtual subclasses' -- these and their descendants will
be considered subclasses of the registering ABC by the built-in
issubclass() function, but the registering ABC won't show up in
their MRO (Method Resolution Order) nor will method
implementations defined by the registering ABC be callable (not
even via super()).
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