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analyze.py
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analyze.py
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# emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
#
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
''' Header and image for the basic Mayo Analyze format
=======================
Generic header format
=======================
The basic principle of the header object is that it manages and
contains header information. Each header type may have different
attributes that can be set. Some headers can contain only subsets of
possible passed values - for example the basic Analyze header can only
encode the zooms in an affine transform - not shears, rotations,
translations.
The attributes and methods of the object guarantee that the set values
will be consistent and valid with the header standard, in some sense.
The object API therefore gives "safe" access to the header. You can
reach all the named fields in the header directly with the
``structarr`` attribute. If you futz with these, the object
makes no guarantee that the data in the header are consistent.
Headers do not have filenames, they refer only the block of data in
the header. The containing object manages the filenames, and
therefore must know how to predict image filenames from header
filenames, whether these are different, and so on.
You can access and set fields of a particular header type using standard
__getitem__ / __setitem__ syntax:
hdr['field'] = 10
Headers also implement general mappingness:
hdr.keys()
hdr.items()
hdr.values()
The Analyze and derived formats are also ''binary headers''. Binary
headers are specialized headers in that they are represented internally
with a numpy structured array.
This binary representation means that there are additional properties
and methods:
Properties::
.endianness (read only)
.binaryblock (read only)
.structarr (read only)
Methods::
.as_byteswapped(endianness)
and class methods::
.diagnose_binaryblock
===========================
The Analyze header format
===========================
Basic attributes of the header object are::
.endianness (read only)
.binaryblock (read only)
.structarr (read only)
Class attributes are::
.default_x_flip
with methods::
.get/set_data_shape
.get/set_data_dtype
.get/set_zooms
.get_base_affine()
.get_best_affine()
.check_fix()
.as_byteswapped(endianness)
.write_to(fileobj)
.__str__
.__eq__
.__ne__
and class methods::
.diagnose_binaryblock(string)
.from_fileobj(fileobj)
More sophisticated headers can add more methods and attributes.
=================
Header checking
=================
We have a file, and we would like feedback as to whether there are any
problems with this header, and whether they are fixable::
hdr = AnalyzeHeader.from_fileobj(fileobj, check=False)
AnalyzeHeader.diagnose_binaryblock(hdr.binaryblock)
This will run all known checks, with no fixes, outputing to stdout
In creating a header object, we might want to check the header data. If it
passes the error threshold, it goes through::
hdr = AnalyzeHeader.from_fileobj(good_fileobj)
whereas::
hdr = AnalyzeHeader.from_fileobj(bad_fileobj)
would raise some error, with output to logging (see below).
We set the error level (the level of problem that the ``check=True``
versions will accept as OK) from global defaults::
import nibabel as nib
nib.imageglobals.error_level = 30
The same for logging::
nib.logger = logger
'''
import numpy as np
from nibabel.volumeutils import pretty_mapping, endian_codes, \
native_code, swapped_code, \
make_dt_codes, \
calculate_scale, allopen, shape_zoom_affine, \
array_to_file, array_from_file, can_cast, \
floating_point_types
from nibabel.spatialimages import HeaderDataError, HeaderTypeError, \
ImageDataError, SpatialImage
from nibabel import imageglobals as imageglobals
from nibabel.fileholders import FileHolderError, copy_file_map
from nibabel.batteryrunners import BatteryRunner, Report
from nibabel.arrayproxy import ArrayProxy
# Sub-parts of standard analyze header from
# Mayo dbh.h file
header_key_dtd = [
('sizeof_hdr', 'i4'),
('data_type', 'S10'),
('db_name', 'S18'),
('extents', 'i4'),
('session_error', 'i2'),
('regular', 'S1'),
('hkey_un0', 'S1')
]
image_dimension_dtd = [
('dim', 'i2', (8,)),
('vox_units', 'S4'),
('cal_units', 'S8'),
('unused1', 'i2'),
('datatype', 'i2'),
('bitpix', 'i2'),
('dim_un0', 'i2'),
('pixdim', 'f4', (8,)),
('vox_offset', 'f4'),
('funused1', 'f4'),
('funused2', 'f4'),
('funused3', 'f4'),
('cal_max', 'f4'),
('cal_min', 'f4'),
('compressed', 'i4'),
('verified', 'i4'),
('glmax', 'i4'),
('glmin', 'i4')
]
data_history_dtd = [
('descrip', 'S80'),
('aux_file', 'S24'),
('orient', 'S1'),
('originator', 'S10'),
('generated', 'S10'),
('scannum', 'S10'),
('patient_id', 'S10'),
('exp_date', 'S10'),
('exp_time', 'S10'),
('hist_un0', 'S3'),
('views', 'i4'),
('vols_added', 'i4'),
('start_field', 'i4'),
('field_skip', 'i4'),
('omax', 'i4'),
('omin', 'i4'),
('smax', 'i4'),
('smin', 'i4')
]
# Full header numpy dtype combined across sub-fields
header_dtype = np.dtype(header_key_dtd + image_dimension_dtd +
data_history_dtd)
_dtdefs = ( # code, conversion function, equivalent dtype, aliases
(0, 'none', np.void),
(1, 'binary', np.void), # 1 bit per voxel, needs thought
(2, 'uint8', np.uint8),
(4, 'int16', np.int16),
(8, 'int32', np.int32),
(16, 'float32', np.float32),
(32, 'complex64', np.complex64), # numpy complex format?
(64, 'float64', np.float64),
(128, 'RGB', np.dtype([('R','u1'),
('G', 'u1'),
('B', 'u1')])),
(255, 'all', np.void))
# Make full code alias bank, including dtype column
data_type_codes = make_dt_codes(_dtdefs)
class AnalyzeHeader(object):
''' Class for basic analyze header
Implements zoom-only setting of affine transform, and no image
scaling
'''
# Copies of module-level definitions
_dtype = header_dtype
_data_type_codes = data_type_codes
# fields with recoders for their values
_field_recoders = {'datatype': data_type_codes}
# default x flip
default_x_flip = True
# data scaling capabilities
has_data_slope = False
has_data_intercept = False
def __init__(self,
binaryblock=None,
endianness=None,
check=True):
''' Initialize header from binary data block
Parameters
----------
binaryblock : {None, string} optional
binary block to set into header. By default, None, in
which case we insert the default empty header block
endianness : {None, '<','>', other endian code} string, optional
endianness of the binaryblock. If None, guess endianness
from the data.
check : bool, optional
Whether to check content of header in initialization.
Default is True.
Examples
--------
>>> hdr1 = AnalyzeHeader() # an empty header
>>> hdr1.endianness == native_code
True
>>> hdr1.get_data_shape()
(0,)
>>> hdr1.set_data_shape((1,2,3)) # now with some content
>>> hdr1.get_data_shape()
(1, 2, 3)
We can set the binary block directly via this initialization.
Here we get it from the header we have just made
>>> binblock2 = hdr1.binaryblock
>>> hdr2 = AnalyzeHeader(binblock2)
>>> hdr2.get_data_shape()
(1, 2, 3)
Empty headers are native endian by default
>>> hdr2.endianness == native_code
True
You can pass valid opposite endian headers with the
``endianness`` parameter. Even empty headers can have
endianness
>>> hdr3 = AnalyzeHeader(endianness=swapped_code)
>>> hdr3.endianness == swapped_code
True
If you do not pass an endianness, and you pass some data, we
will try to guess from the passed data.
>>> binblock3 = hdr3.binaryblock
>>> hdr4 = AnalyzeHeader(binblock3)
>>> hdr4.endianness == swapped_code
True
'''
if binaryblock is None:
self._header_data = self._empty_headerdata(endianness)
return
# check size
if len(binaryblock) != self._dtype.itemsize:
raise HeaderDataError('Binary block is wrong size')
hdr = np.ndarray(shape=(),
dtype=self._dtype,
buffer=binaryblock)
if endianness is None:
endianness = self._guessed_endian(hdr)
else:
endianness = endian_codes[endianness]
if endianness != native_code:
dt = self._dtype.newbyteorder(endianness)
hdr = np.ndarray(shape=(),
dtype=dt,
buffer=binaryblock)
self._header_data = hdr.copy()
if check:
self.check_fix()
return
@classmethod
def from_header(klass, header=None, check=True):
''' Class method to create header from another header
Parameters
----------
header : ``Header`` instance or mapping
a header of this class, or another class of header for
conversion to this type
check : {True, False}
whether to check header for integrity
Returns
-------
hdr : header instance
fresh header instance of our own class
'''
# own type, return copy
if type(header) == klass:
obj = header.copy()
if check:
obj.check_fix()
return obj
# not own type, make fresh header instance
obj = klass(check=check)
if header is None:
return obj
try: # check if there is a specific conversion routine
mapping = header.as_analyze_map()
except AttributeError:
# most basic conversion
obj.set_data_dtype(header.get_data_dtype())
obj.set_data_shape(header.get_data_shape())
obj.set_zooms(header.get_zooms())
return obj
# header is convertible from a field mapping
for key, value in mapping.items():
try:
obj[key] = value
except (ValueError, KeyError):
# the presence of the mapping certifies the fields as
# being of the same meaning as for Analyze types
pass
obj._set_format_specifics()
if check:
obj.check_fix()
return obj
def _set_format_specifics(self):
''' Utility routine to set format specific header stuff '''
pass
@classmethod
def from_fileobj(klass, fileobj, endianness=None, check=True):
''' Return read header with given or guessed endiancode
Parameters
----------
fileobj : file-like object
Needs to implement ``read`` method
endianness : None or endian code, optional
Code specifying endianness of read data
Returns
-------
hdr : AnalyzeHeader object
AnalyzeHeader object initialized from data in fileobj
Examples
--------
>>> import StringIO
>>> hdr = AnalyzeHeader()
>>> fileobj = StringIO.StringIO(hdr.binaryblock)
>>> fileobj.seek(0)
>>> hdr2 = AnalyzeHeader.from_fileobj(fileobj)
>>> hdr2.binaryblock == hdr.binaryblock
True
You can write to the resulting object data
>>> hdr2['dim'][1] = 1
'''
raw_str = fileobj.read(klass._dtype.itemsize)
return klass(raw_str, endianness, check)
@property
def binaryblock(self):
''' binary block of data as string
Returns
-------
binaryblock : string
string giving binary data block
Examples
--------
>>> # Make default empty header
>>> hdr = AnalyzeHeader()
>>> len(hdr.binaryblock)
348
'''
return self._header_data.tostring()
def write_to(self, fileobj):
''' Write header to fileobj
Write starts at fileobj current file position.
Parameters
----------
fileobj : file-like object
Should implement ``write`` method
Returns
-------
None
Examples
--------
>>> hdr = AnalyzeHeader()
>>> import StringIO
>>> str_io = StringIO.StringIO()
>>> hdr.write_to(str_io)
>>> hdr.binaryblock == str_io.getvalue()
True
'''
fileobj.write(self.binaryblock)
@property
def endianness(self):
''' endian code of binary data
The endianness code gives the current byte order
interpretation of the binary data.
Examples
--------
>>> hdr = AnalyzeHeader()
>>> code = hdr.endianness
>>> code == native_code
True
Notes
-----
Endianness gives endian interpretation of binary data. It is
read only because the only common use case is to set the
endianness on initialization, or occasionally byteswapping the
data - but this is done via the as_byteswapped method
'''
if self._header_data.dtype.isnative:
return native_code
return swapped_code
def copy(self):
''' Return copy of header
>>> hdr = AnalyzeHeader()
>>> hdr['dim'][0]
0
>>> hdr['dim'][0] = 2
>>> hdr2 = hdr.copy()
>>> hdr2 is hdr
False
>>> hdr['dim'][0] = 3
>>> hdr2['dim'][0]
2
'''
return self.__class__(
self.binaryblock,
self.endianness, check=False)
def __eq__(self, other):
''' equality between two headers defined by mapping
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr2 = AnalyzeHeader()
>>> hdr == hdr2
True
>>> hdr3 = AnalyzeHeader(endianness=swapped_code)
>>> hdr == hdr3
True
>>> hdr3.set_data_shape((1,2,3))
>>> hdr == hdr3
False
>>> hdr4 = AnalyzeHeader()
>>> hdr == hdr4
True
'''
this_end = self.endianness
this_bb = self.binaryblock
if this_end == other.endianness:
return this_bb == other.binaryblock
other_bb = other._header_data.byteswap().tostring()
return this_bb == other_bb
def __ne__(self, other):
''' equality between two headers defined by ``header_data``
For examples, see ``__eq__`` method docstring
'''
return not self == other
def raw_data_from_fileobj(self, fileobj):
''' Read unscaled data array from `fileobj`
Parameters
----------
fileobj : file-like
Must be open, and implement ``read`` and ``seek`` methods
Returns
-------
arr : ndarray
unscaled data array
'''
dtype = self.get_data_dtype()
shape = self.get_data_shape()
offset = self.get_data_offset()
return array_from_file(shape, dtype, fileobj, offset)
def data_from_fileobj(self, fileobj):
''' Read scaled data array from `fileobj`
Parameters
----------
fileobj : file-like
Must be open, and implement ``read`` and ``seek`` methods
Returns
-------
arr : ndarray
scaled data array
'''
# read unscaled data
data = self.raw_data_from_fileobj(fileobj)
# get scalings from header
slope, inter = self.get_slope_inter()
if slope is None or (slope==1.0 and not inter):
return data
# in-place multiplication and addition on integer types leads to
# integer output types, and disastrous integer rounding.
# We'd like to do inplace if we can, to save memory
is_flt = data.dtype.type in floating_point_types
if slope != 1.0:
if is_flt:
data *= slope
else:
data = data * slope
is_flt = True
if inter:
if is_flt:
data += inter
else:
data = data + inter
return data
def data_to_fileobj(self, data, fileobj):
''' Write `data` to `fileobj`, maybe modifying `self`
In writing the data, we match the header to the written data, by
setting the header scaling factors. Thus we modify `self` in
the process of writing the data.
Parameters
----------
data : array-like
data to write; should match header defined shape
fileobj : file-like object
Object with file interface, implementing ``write`` and
``seek``
Examples
--------
>>> from nibabel.analyze import AnalyzeHeader
>>> hdr = AnalyzeHeader()
>>> hdr.set_data_shape((1, 2, 3))
>>> hdr.set_data_dtype(np.float64)
>>> from StringIO import StringIO
>>> str_io = StringIO()
>>> data = np.arange(6).reshape(1,2,3)
>>> hdr.data_to_fileobj(data, str_io)
>>> data.astype(np.float64).tostring('F') == str_io.getvalue()
True
'''
data = np.asarray(data)
slope, inter, mn, mx = self.scaling_from_data(data)
shape = self.get_data_shape()
if data.shape != shape:
raise HeaderDataError('Data should be shape (%s)' %
', '.join(str(s) for s in shape))
offset = self.get_data_offset()
out_dtype = self.get_data_dtype()
array_to_file(data,
fileobj,
out_dtype,
offset,
inter,
slope,
mn,
mx)
self.set_slope_inter(slope, inter)
def __getitem__(self, item):
''' Return values from header data
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr['sizeof_hdr'] == 348
True
'''
return self._header_data[item]
def __setitem__(self, item, value):
''' Set values in header data
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr['descrip'] = 'description'
>>> str(hdr['descrip'])
'description'
'''
self._header_data[item] = value
def __iter__(self):
return iter(self.keys())
def keys(self):
''' Return keys from header data'''
return list(self._dtype.names)
def values(self):
''' Return values from header data'''
data = self._header_data
return [data[key] for key in self._dtype.names]
def items(self):
''' Return items from header data'''
return zip(self.keys(), self.values())
def check_fix(self,
logger=imageglobals.logger,
error_level=imageglobals.error_level):
''' Check header data with checks '''
battrun = BatteryRunner(self.__class__._get_checks())
self, reports = battrun.check_fix(self)
for report in reports:
report.log_raise(logger, error_level)
@classmethod
def diagnose_binaryblock(klass, binaryblock, endianness=None):
''' Run checks over header binary data, return string '''
hdr = klass(binaryblock, endianness=endianness, check=False)
battrun = BatteryRunner(klass._get_checks())
reports = battrun.check_only(hdr)
return '\n'.join([report.message
for report in reports if report.message])
def _guessed_endian(self, hdr):
''' Guess intended endianness from mapping-like ``hdr``
Parameters
----------
hdr : mapping-like
hdr for which to guess endianness
Returns
-------
endianness : {'<', '>'}
Guessed endianness of header
Examples
--------
Zeros header, no information, guess native
>>> hdr = AnalyzeHeader()
>>> hdr_data = np.zeros((), dtype=header_dtype)
>>> hdr._guessed_endian(hdr_data) == native_code
True
A valid native header is guessed native
>>> hdr_data = hdr.structarr.copy()
>>> hdr._guessed_endian(hdr_data) == native_code
True
And, when swapped, is guessed as swapped
>>> sw_hdr_data = hdr_data.byteswap(swapped_code)
>>> hdr._guessed_endian(sw_hdr_data) == swapped_code
True
The algorithm is as follows:
First, look at the first value in the ``dim`` field; this
should be between 0 and 7. If it is between 1 and 7, then
this must be a native endian header.
>>> hdr_data = np.zeros((), dtype=header_dtype) # blank binary data
>>> hdr_data['dim'][0] = 1
>>> hdr._guessed_endian(hdr_data) == native_code
True
>>> hdr_data['dim'][0] = 6
>>> hdr._guessed_endian(hdr_data) == native_code
True
>>> hdr_data['dim'][0] = -1
>>> hdr._guessed_endian(hdr_data) == swapped_code
True
If the first ``dim`` value is zeros, we need a tie breaker.
In that case we check the ``sizeof_hdr`` field. This should
be 348. If it looks like the byteswapped value of 348,
assumed swapped. Otherwise assume native.
>>> hdr_data = np.zeros((), dtype=header_dtype) # blank binary data
>>> hdr._guessed_endian(hdr_data) == native_code
True
>>> hdr_data['sizeof_hdr'] = 1543569408
>>> hdr._guessed_endian(hdr_data) == swapped_code
True
>>> hdr_data['sizeof_hdr'] = -1
>>> hdr._guessed_endian(hdr_data) == native_code
True
This is overridden by the ``dim``[0] value though:
>>> hdr_data['sizeof_hdr'] = 1543569408
>>> hdr_data['dim'][0] = 1
>>> hdr._guessed_endian(hdr_data) == native_code
True
'''
dim0 = int(hdr['dim'][0])
if dim0 == 0:
if hdr['sizeof_hdr'] == 1543569408:
return swapped_code
return native_code
elif 1 <= dim0 <= 7:
return native_code
return swapped_code
def _empty_headerdata(self, endianness=None):
''' Return header data for empty header with given endianness
'''
dt = self._dtype
if endianness is not None:
endianness = endian_codes[endianness]
dt = dt.newbyteorder(endianness)
hdr_data = np.zeros((), dtype=dt)
hdr_data['sizeof_hdr'] = 348
hdr_data['dim'] = 1
hdr_data['dim'][0] = 0
hdr_data['pixdim'] = 1
hdr_data['datatype'] = 16 # float32
hdr_data['bitpix'] = 32
return hdr_data
@property
def structarr(self):
''' header data, with data fields
Examples
--------
>>> hdr1 = AnalyzeHeader() # an empty header
>>> sz = hdr1.structarr['sizeof_hdr']
>>> hdr1.structarr = None
Traceback (most recent call last):
...
AttributeError: can't set attribute
'''
return self._header_data
def get_data_dtype(self):
''' Get numpy dtype for data
For examples see ``set_data_dtype``
'''
code = int(self._header_data['datatype'])
dtype = self._data_type_codes.dtype[code]
return dtype.newbyteorder(self.endianness)
def set_data_dtype(self, datatype):
''' Set numpy dtype for data from code or dtype or type
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr.set_data_dtype(np.uint8)
>>> hdr.get_data_dtype()
dtype('uint8')
>>> hdr.set_data_dtype(np.dtype(np.uint8))
>>> hdr.get_data_dtype()
dtype('uint8')
>>> hdr.set_data_dtype('implausible')
Traceback (most recent call last):
...
HeaderDataError: data dtype "implausible" not recognized
>>> hdr.set_data_dtype('none')
Traceback (most recent call last):
...
HeaderDataError: data dtype "none" known but not supported
>>> hdr.set_data_dtype(np.void)
Traceback (most recent call last):
...
HeaderDataError: data dtype "<type 'numpy.void'>" known but not supported
'''
try:
code = self._data_type_codes[datatype]
except KeyError:
raise HeaderDataError(
'data dtype "%s" not recognized' % datatype)
dtype = self._data_type_codes.dtype[code]
# test for void, being careful of user-defined types
if dtype.type is np.void and not dtype.fields:
raise HeaderDataError(
'data dtype "%s" known but not supported' % datatype)
self._header_data['datatype'] = code
self._header_data['bitpix'] = dtype.itemsize * 8
def get_data_shape(self):
''' Get shape of data
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr.get_data_shape()
(0,)
>>> hdr.set_data_shape((1,2,3))
>>> hdr.get_data_shape()
(1, 2, 3)
Expanding number of dimensions gets default zooms
>>> hdr.get_zooms()
(1.0, 1.0, 1.0)
'''
dims = self._header_data['dim']
ndims = dims[0]
if ndims == 0:
return 0,
return tuple(int(d) for d in dims[1:ndims+1])
def set_data_shape(self, shape):
''' Set shape of data
If ``ndims == len(shape)`` then we set zooms for dimensions higher than
``ndims`` to 1.0
Parameters
----------
shape : sequence
sequence of integers specifying data array shape
'''
dims = self._header_data['dim']
ndims = len(shape)
dims[:] = 1
dims[0] = ndims
dims[1:ndims+1] = shape
self._header_data['pixdim'][ndims+1:] = 1.0
def as_byteswapped(self, endianness=None):
''' return new byteswapped header object with given ``endianness``
Guaranteed to make a copy even if endianness is the same as
the current endianness.
Parameters
----------
endianness : None or string, optional
endian code to which to swap. None means swap from current
endianness, and is the default
Returns
-------
hdr : header object
hdr object with given endianness
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr.endianness == native_code
True
>>> bs_hdr = hdr.as_byteswapped()
>>> bs_hdr.endianness == swapped_code
True
>>> bs_hdr = hdr.as_byteswapped(swapped_code)
>>> bs_hdr.endianness == swapped_code
True
>>> bs_hdr is hdr
False
>>> bs_hdr == hdr
True
If you write to the resulting byteswapped data, it does not
change the original.
>>> bs_hdr['dim'][1] = 2
>>> bs_hdr == hdr
False
If you swap to the same endianness, it returns a copy
>>> nbs_hdr = hdr.as_byteswapped(native_code)
>>> nbs_hdr.endianness == native_code
True
>>> nbs_hdr is hdr
False
'''
current = self.endianness
if endianness is None:
if current == native_code:
endianness = swapped_code
else:
endianness = native_code
else:
endianness = endian_codes[endianness]
if endianness == current:
return self.copy()
hdr_data = self._header_data.byteswap()
return self.__class__(hdr_data.tostring(),
endianness,
check=False)
def __str__(self):
''' Return string representation for printing '''
summary = "%s object, endian='%s'" % (self.__class__,
self.endianness)
def _getter(obj, key):
try:
return obj.get_value_label(key)
except ValueError:
return obj[key]
return '\n'.join(
[summary,
pretty_mapping(self, _getter)])
def get_value_label(self, fieldname):
''' Returns label for coded field
A coded field is an int field containing codes that stand for
discrete values that also have string labels.
Parameters
----------
fieldname : str
name of header field to get label for
Returns
-------
label : str
label for code value in header field `fieldname`
Examples
--------
>>> hdr = AnalyzeHeader()
>>> hdr.get_value_label('datatype')
'float32'
'''
if not fieldname in self._field_recoders:
raise ValueError('%s not a coded field' % fieldname)
code = int(self._header_data[fieldname])
return self._field_recoders[fieldname].label[code]
def get_base_affine(self):
''' Get affine from basic (shared) header fields
Note that we get the translations from the center of the
image.
Examples
--------
>>> hdr = AnalyzeHeader()