def __init__(self, parentnode, name,
obj=None, title="",
byteorder=None, _log=True, _atom=None):
self._v_version = None
"""The object version of this array."""
self._v_new = new = obj is not None
"""Is this the first time the node has been created?"""
self._v_new_title = title
"""New title for this node."""
self._obj = obj
"""The object to be stored in the array. It can be any of numpy,
list, tuple, string, integer of floating point types, provided
that they are regular (i.e. they are not like ``[[1, 2], 2]``).
.. versionchanged:: 3.0
Renamed form *_object* into *_obj*.
"""
self._v_convert = True
"""Whether the ``Array`` object must be converted or not."""
# Miscellaneous iteration rubbish.
self._start = None
"""Starting row for the current iteration."""
self._stop = None
"""Stopping row for the current iteration."""
self._step = None
"""Step size for the current iteration."""
self._nrowsread = None
"""Number of rows read up to the current state of iteration."""
self._startb = None
"""Starting row for current buffer."""
self._stopb = None
"""Stopping row for current buffer. """
self._row = None
"""Current row in iterators (sentinel)."""
self._init = False
"""Whether we are in the middle of an iteration or not (sentinel)."""
self.listarr = None
"""Current buffer in iterators."""
# Documented (*public*) attributes.
self.atom = _atom
"""An Atom (see :ref:`AtomClassDescr`) instance representing the *type*
and *shape* of the atomic objects to be saved.
"""
self.shape = None
"""The shape of the stored array."""
self.nrow = None
"""On iterators, this is the index of the current row."""
self.extdim = -1 # ordinary arrays are not enlargeable
"""The index of the enlargeable dimension."""
# Ordinary arrays have no filters: leaf is created with default ones.
super(Array, self).__init__(parentnode, name, new, Filters(),
byteorder, _log)
def _g_getfilters(self):
filters = getattr(self._v_attrs, 'FILTERS', None)
if filters is None:
filters = Filters()
return filters
def __init__(self, parentNode, name,
object=None, title="",
byteorder=None, _log=True, _atom=None):
"""
Create an `Array` instance.
`object`
The array or scalar to be saved. Accepted types are NumPy
arrays and scalars, ``numarray`` arrays and string arrays,
Numeric arrays and scalars, as well as native Python
sequences and scalars, provided that values are regular
(i.e. they are not like ``[[1,2],2]``) and homogeneous
(i.e. all the elements are of the same type).
`title`
A description for this node (it sets the ``TITLE`` HDF5
attribute on disk).
`byteorder`
The byteorder of the data *on disk*, specified as 'little'
or 'big'. If this is not specified, the byteorder is that
of the given `object`.
"""
self._v_version = None
"""The object version of this array."""
self._v_new = new = object is not None
"""Is this the first time the node has been created?"""
self._v_new_title = title
"""New title for this node."""
self._object = object
"""
The object to be stored in the array. It can be any of
``numpy``, ``numarray``, ``numeric``, list, tuple, string,
integer of floating point types, provided that they are
regular (i.e. they are not like ``[[1, 2], 2]``).
"""
self._v_convert = True
"""Whether the ``Array`` object must be converted or not."""
# Miscellaneous iteration rubbish.
self._start = None
"""Starting row for the current iteration."""
self._stop = None
"""Stopping row for the current iteration."""
self._step = None
"""Step size for the current iteration."""
self._nrowsread = None
"""Number of rows read up to the current state of iteration."""
self._startb = None
"""Starting row for current buffer."""
self._stopb = None
"""Stopping row for current buffer. """
self._row = None
"""Current row in iterators (sentinel)."""
self._init = False
"""Whether we are in the middle of an iteration or not (sentinel)."""
self.listarr = None
"""Current buffer in iterators."""
# Documented (*public*) attributes.
self.atom = _atom
"""
An `Atom` instance representing the *type* and *shape* of the
atomic objects to be saved.
"""
self.shape = None
"""The shape of the stored array."""
self.nrow = None
"""On iterators, this is the index of the current row."""
self.extdim = -1 # ordinary arrays are not enlargeable
"""The index of the enlargeable dimension."""
# Ordinary arrays have no filters: leaf is created with default ones.
super(Array, self).__init__(parentNode, name, new, Filters(),
byteorder, _log)
