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colnum = self._extract_colnum(column)
# need it to be contiguous and native byte order. For now, make a
# copy. but we may be able to avoid this with some care.
if not data.flags['C_CONTIGUOUS']:
# this always makes a copy
data_send = numpy.ascontiguousarray(data)
# this is a copy, we can make sure it is native
# and modify in place if needed
array_to_native(data_send, inplace=True)
else:
# we can avoid the copy with a try-finally block and
# some logic
data_send = array_to_native(data, inplace=False)
if IS_PY3 and data_send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
data_send = data_send.astype('S', copy=False)
self._verify_column_data(colnum, data_send)
self._FITS.write_columns(
self._ext+1,
[colnum],
[data_send],
firstrow=firstrow+1,
write_bitcols=self.write_bitcols,
)
warnings.warn(
"The keyword arguments '%s' are being ignored! This warning "
"will be an error in a future version of `fitsio`!",
DeprecationWarning)
colnum = self._extract_colnum(column)
# need it to be contiguous and native byte order. For now, make a
# copy. but we may be able to avoid this with some care.
if not data.flags['C_CONTIGUOUS']:
# this always makes a copy
data_send = numpy.ascontiguousarray(data)
# this is a copy, we can make sure it is native
# and modify in place if needed
array_to_native(data_send, inplace=True)
else:
# we can avoid the copy with a try-finally block and
# some logic
data_send = array_to_native(data, inplace=False)
if IS_PY3 and data_send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
data_send = data_send.astype('S', copy=False)
self._verify_column_data(colnum, data_send)
self._FITS.write_columns(
self._ext+1,
[colnum],
[data_send],
"The keyword arguments '%s' are being ignored! This warning "
"will be an error in a future version of `fitsio`!",
DeprecationWarning)
dims = self.get_dims()
if img.dtype.fields is not None:
raise ValueError("got recarray, expected regular ndarray")
if img.size == 0:
raise ValueError("data must have at least 1 row")
# data must be c-contiguous and native byte order
if not img.flags['C_CONTIGUOUS']:
# this always makes a copy
img_send = numpy.ascontiguousarray(img)
array_to_native(img_send, inplace=True)
else:
img_send = array_to_native(img, inplace=False)
if IS_PY3 and img_send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
img_send = img_send.astype('S', copy=False)
if not numpy.isscalar(start):
# convert to scalar offset
# note we use the on-disk data type to get itemsize
offset = _convert_full_start_to_offset(dims, start)
else:
offset = start
DeprecationWarning)
dims = self.get_dims()
if img.dtype.fields is not None:
raise ValueError("got recarray, expected regular ndarray")
if img.size == 0:
raise ValueError("data must have at least 1 row")
# data must be c-contiguous and native byte order
if not img.flags['C_CONTIGUOUS']:
# this always makes a copy
img_send = numpy.ascontiguousarray(img)
array_to_native(img_send, inplace=True)
else:
img_send = array_to_native(img, inplace=False)
if IS_PY3 and img_send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
img_send = img_send.astype('S', copy=False)
if not numpy.isscalar(start):
# convert to scalar offset
# note we use the on-disk data type to get itemsize
offset = _convert_full_start_to_offset(dims, start)
else:
offset = start
# see if we need to resize the image
if self.has_data():
elif dims is not None:
from_image = False
if from_image:
img2send = img
if img is not None:
dims = img.shape
dtstr = img.dtype.descr[0][1][1:]
if img.size == 0:
raise ValueError("data must have at least 1 row")
# data must be c-contiguous and native byte order
if not img.flags['C_CONTIGUOUS']:
# this always makes a copy
img2send = numpy.ascontiguousarray(img)
array_to_native(img2send, inplace=True)
else:
img2send = array_to_native(img, inplace=False)
if IS_PY3 and img2send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
img2send = img2send.astype('S', copy=False)
else:
self._ensure_empty_image_ok()
compress = None
tile_dims = None
# we get dims from the input image
dims2send = None
else:
colnums_all.append(colnum)
if slow:
for i, name in enumerate(names):
if not isobj[i]:
self.write_column(name, data_list[i], firstrow=firstrow)
else:
nonobj_colnums = []
nonobj_arrays = []
for i in xrange(len(data_list)):
if not isobj[i]:
nonobj_colnums.append(colnums_all[i])
if isrec:
# this still leaves possibility of f-order sub-arrays..
colref = array_to_native(data_list[i], inplace=False)
else:
colref = array_to_native_c(data_list[i], inplace=False)
if IS_PY3 and colref.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
colref = colref.astype('S', copy=False)
nonobj_arrays.append(colref)
for tcolnum, tdata in zip(nonobj_colnums, nonobj_arrays):
self._verify_column_data(tcolnum, tdata)
if len(nonobj_arrays) > 0:
self._FITS.write_columns(
self._ext+1, nonobj_colnums, nonobj_arrays,
if from_image:
img2send = img
if img is not None:
dims = img.shape
dtstr = img.dtype.descr[0][1][1:]
if img.size == 0:
raise ValueError("data must have at least 1 row")
# data must be c-contiguous and native byte order
if not img.flags['C_CONTIGUOUS']:
# this always makes a copy
img2send = numpy.ascontiguousarray(img)
array_to_native(img2send, inplace=True)
else:
img2send = array_to_native(img, inplace=False)
if IS_PY3 and img2send.dtype.char == 'U':
# for python3, we convert unicode to ascii
# this will error if the character is not in ascii
img2send = img2send.astype('S', copy=False)
else:
self._ensure_empty_image_ok()
compress = None
tile_dims = None
# we get dims from the input image
dims2send = None
else:
# img was None and dims was sent
if dtype is None: