def __new__(subtype,
shape,
dtype=float,
buffer=None,
offset=0,
strides=None,
order=None,
header=None):
if header is None:
header = copy.copy(default_object_dict)
# look for mandatory keywords
for k in object_keys:
if not header.has_key(k):
header.update(k, default_object_dict[k])
siddon.map_borders(header)
obj = fa.FitsArray.__new__(subtype,
shape,
dtype=dtype,
buffer=buffer,
offset=offset,
strides=strides,
order=order,
header=header)
return obj
def __new__(subtype, shape, dtype=float, buffer=None, offset=0,
strides=None, order=None, header=None):
if header is None:
header = copy.copy(default_object_dict)
# look for mandatory keywords
for k in object_keys:
if not header.has_key(k):
header.update(k, default_object_dict[k])
siddon.map_borders(header)
obj = fa.FitsArray.__new__(subtype, shape, dtype=dtype,
buffer=buffer, offset=offset,
strides=strides, order=order,
header=header)
return obj
def object_from_header(header, **kwargs):
"""
Generate an object from a given header
"""
shape = header['NAXIS1'], header['NAXIS2'], header['NAXIS3']
try:
dtype = fa.bitpix[str(header['BITPIX'])]
except(KeyError):
dtype = np.float64
dtype = header.pop('dtype', dtype)
dtype = kwargs.pop('dtype', dtype)
fill = kwargs.pop('fill', 0.)
siddon.map_borders(header)
obj = Object(shape, header=header, dtype=dtype, **kwargs)
obj[:] = fill
return obj
def object_from_header(header, **kwargs):
"""
Generate an object from a given header
"""
shape = header['NAXIS1'], header['NAXIS2'], header['NAXIS3']
try:
dtype = fa.bitpix[str(header['BITPIX'])]
except (KeyError):
dtype = np.float64
dtype = header.pop('dtype', dtype)
dtype = kwargs.pop('dtype', dtype)
fill = kwargs.pop('fill', 0.)
siddon.map_borders(header)
obj = Object(shape, header=header, dtype=dtype, **kwargs)
obj[:] = fill
return obj
