def __new__(cls,
shape,
dtype=None,
buf=None,
offset=0,
strides=None,
formats=None,
names=None,
titles=None,
byteorder=None,
aligned=False,
mask=nomask,
hard_mask=False,
fill_value=None,
keep_mask=True,
copy=False,
**options):
self = recarray.__new__(
cls,
shape,
dtype=dtype,
buf=buf,
offset=offset,
strides=strides,
formats=formats,
names=names,
titles=titles,
byteorder=byteorder,
aligned=aligned,
)
mdtype = ma.make_mask_descr(self.dtype)
if mask is nomask or not np.size(mask):
if not keep_mask:
self._mask = tuple([False] * len(mdtype))
else:
mask = np.array(mask, copy=copy)
if mask.shape != self.shape:
(nd, nm) = (self.size, mask.size)
if nm == 1:
mask = np.resize(mask, self.shape)
elif nm == nd:
mask = np.reshape(mask, self.shape)
else:
msg = "Mask and data not compatible: data size is %i, " + \
"mask size is %i."
raise MAError(msg % (nd, nm))
copy = True
if not keep_mask:
self.__setmask__(mask)
self._sharedmask = True
else:
if mask.dtype == mdtype:
_mask = mask
else:
_mask = np.array([tuple([m] * len(mdtype)) for m in mask],
dtype=mdtype)
self._mask = _mask
return self
def __new__(
cls,
shape,
dtype=None,
buf=None,
offset=0,
strides=None,
formats=None,
names=None,
titles=None,
byteorder=None,
aligned=False,
mask=nomask,
hard_mask=False,
fill_value=None,
keep_mask=True,
copy=False,
**options
):
#
self = recarray.__new__(
cls,
shape,
dtype=dtype,
buf=buf,
offset=offset,
strides=strides,
formats=formats,
names=names,
titles=titles,
byteorder=byteorder,
aligned=aligned,
)
#
mdtype = ma.make_mask_descr(self.dtype)
if mask is nomask or not np.size(mask):
if not keep_mask:
self._mask = tuple([False] * len(mdtype))
else:
mask = np.array(mask, copy=copy)
if mask.shape != self.shape:
(nd, nm) = (self.size, mask.size)
if nm == 1:
mask = np.resize(mask, self.shape)
elif nm == nd:
mask = np.reshape(mask, self.shape)
else:
msg = "Mask and data not compatible: data size is %i, " + "mask size is %i."
raise MAError(msg % (nd, nm))
copy = True
if not keep_mask:
self.__setmask__(mask)
self._sharedmask = True
else:
if mask.dtype == mdtype:
_mask = mask
else:
_mask = np.array([tuple([m] * len(mdtype)) for m in mask], dtype=mdtype)
self._mask = _mask
return self
