FabIO Package

fabio Package

FabIO module

fabio.benchmarks()

Run the benchmarks

fabio.tests()

Run the FabIO test suite.

If the test-images are not already installed (via the debian package for example), they need to be downloaded from sourceforge.net, which make take a while. Ensure your network connection is operational and your proxy settings are correct, for example:

export http_proxy=http://proxy.site.com:3128

fabio.fabioimage Module

Authors: Henning O. Sorensen & Erik Knudsen

Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk

and Jon Wright, Jerome Kieffer: ESRF

class fabio.fabioimage.FabioImage(data=None, header=None)

Bases: object

A common object for images in fable

Contains a numpy array (.data) and dict of meta data (.header)

RESERVED_HEADER_KEYS = []
add(other)

Add another Image - warning, does not clip to 16 bit images by default

bpp

Getter for bpp: data superseeds _bpp

bytecode

Getter for bpp: data superseeds _bytecode

static check_data(data=None)

Empty for fabioimage but may be populated by others classes, especially for format accepting only integers

Parameters:data – array like
Returns:numpy array or None
static check_header(header=None)

Empty for fabioimage but may be populated by others classes

Parameters:header – dict like object
Returns:Ordered dict
classname

Retrieves the name of the class :return: the name of the class

classmethod codec_name()

Returns the internal name of the codec

convert(dest)

Convert a fabioimage object into another fabioimage object (with possible conversions) :param dest: destination type “EDF”, “edfimage” or the class itself :return: instance of the new class

dim1

Getter for dim1: data superseeds _dim1

dim2

Getter for dim2: data superseeds _dim2

classmethod factory(name)

A kind of factory... for image_classes

Parameters:name (str) – name of the class to instantiate
Returns:an instance of the class
Return type:fabio.fabioimage.FabioImage
get_bpp()

Getter for bpp: data superseeds _bpp

get_bytecode()

Getter for bpp: data superseeds _bytecode

get_dim1()

Getter for dim1: data superseeds _dim1

get_dim2()

Getter for dim2: data superseeds _dim2

get_header_keys()
getclassname()

Retrieves the name of the class :return: the name of the class

getframe(num)

returns the file numbered ‘num’ in the series as a fabioimage

getheader()

returns self.header

getmax()

Find max value in self.data, caching for the future

getmean()

return the mean

getmin()

Find min value in self.data, caching for the future

getstddev()

return the standard deviation

header_keys
integrate_area(coords)

Sums up a region of interest if len(coords) == 4 -> convert coords to slices if len(coords) == 2 -> use as slices floor -> ? removed as unused in the function.

load(*arg, **kwarg)

Wrapper for read

make_slice(coords)

Convert a len(4) set of coords into a len(2) tuple (pair) of slice objects the latter are immutable, meaning the roi can be cached

next()

Returns the next file in the series as a fabioimage

Raises IOError:When there is no next file in the series.
previous()

returns the previous file in the series as a fabioimage

read(filename, frame=None)

To be overridden - fill in self.header and self.data

readROI(filename, frame=None, coords=None)

Method reading Region of Interest. This implementation is the trivial one, just doing read and crop

readheader(filename)

Call the _readheader function...

rebin(x_rebin_fact, y_rebin_fact, keep_I=True)

Rebin the data and adjust dims :param int x_rebin_fact: x binning factor :param int y_rebin_fact: y binning factor :param bool keep_I: shall the signal increase ?

registry
resetvals()

Reset cache - call on changing data

save(fname)

wrapper for write

set_bpp(value)

Setter for bpp

set_bytecode(value)

Setter for bpp

set_dim1(value)

Setter for dim1

set_dim2(value)

Setter for dim2

set_header_keys(value)
toPIL16(filename=None)

Convert to Python Imaging Library 16 bit greyscale image

update_header(**kwds)

update the header entries by default pass in a dict of key, values.

write(fname)

To be overwritten - write the file

class fabio.fabioimage.FabioMeta(name, bases, dct)

Bases: type

Metaclass used to register all image classes inheriting from fabioImage

fabio.fabioimage.fabioimage

alias of FabioImage

fabio.fabioutils Module

General purpose utilities functions for fabio

class fabio.fabioutils.BZ2File(name, mode='r', buffering=0, compresslevel=9)

Bases: bz2.BZ2File

Wrapper with lock

getSize()
setSize(value)
size
class fabio.fabioutils.BytesIO(data, fname=None, mode='r')

Bases: StringIO.StringIO

just an interface providing the name and mode property to a BytesIO

BugFix for MacOSX mainly

getSize()
setSize(size)
size
class fabio.fabioutils.DebugSemaphore(*arg, **kwarg)

Bases: threading._Semaphore

threading.Semaphore like class with helper for fighting dead-locks

acquire(*arg, **kwarg)
blocked = []
release(*arg, **kwarg)
write_lock = <threading._Semaphore object at 0x7f2efe1158d0>
class fabio.fabioutils.File(name, mode='rb', buffering=0, temporary=False)

Bases: file

wrapper for “file” with locking

close()
getSize()
setSize(size)
size
class fabio.fabioutils.FilenameObject(stem=None, num=None, directory=None, format_=None, extension=None, postnum=None, digits=4, filename=None)

Bases: object

The ‘meaning’ of a filename ...

deconstruct_filename(filename)

Break up a filename to get image type and number

str()

Return a string representation

tostring()

convert yourself to a string

class fabio.fabioutils.GzipFile(filename=None, mode=None, compresslevel=9, fileobj=None)

Bases: gzip.GzipFile

Just a wrapper for gzip.GzipFile providing the correct seek capabilities for python 2.5

measure_size()
exception fabio.fabioutils.NotGoodReader

Bases: exceptions.RuntimeError

The reader used is probably not the good one

class fabio.fabioutils.OrderedDict(*args, **kwds)

Bases: fabio.third_party._local.ordereddict.OrderedDict

Ordered dictionary with pretty print

class fabio.fabioutils.UnknownCompressedFile(name, mode='rb', buffering=0)

Bases: fabio.fabioutils.File

wrapper for “File” with locking

fabio.fabioutils.construct_filename(filename, frame=None)

Try to construct the filename for a given frame

fabio.fabioutils.deconstruct_filename(filename)

Function for backward compatibility. Deprecated

fabio.fabioutils.deprecated(func)

used to deprecate a function/method: prints a lot of warning messages to enforce the modification of the code

fabio.fabioutils.exists(path)

Test whether a path exists.

Replaces os.path.exists and handles in addition ”::” based URI as defined in http://odo.pydata.org/en/latest/uri.html#separating-parts-with

Parameters:path – string
Returns:boolean
fabio.fabioutils.extract_filenumber(name)

extract file number

fabio.fabioutils.getnum(name)

# try to figure out a file number # guess it starts at the back

fabio.fabioutils.isAscii(name, listExcluded=None)
Parameters:
  • name – string to check
  • listExcluded – list of char or string excluded.
Returns:

True of False whether name is pure ascii or not

fabio.fabioutils.jump_filename(name, num, padding=True)

jump to number

fabio.fabioutils.next_filename(name, padding=True)

increment number

fabio.fabioutils.nice_int(s)

Workaround that int(‘1.0’) raises an exception

Parameters:s – string to be converted to integer
fabio.fabioutils.numstem(name)

cant see how to do without reversing strings Match 1 or more digits going backwards from the end of the string

fabio.fabioutils.pad(mystr, pattern=' ', size=80)

Performs the padding of the string to the right size with the right pattern

Parameters:
  • mystr – input string
  • pattern – the filling pattern
  • size – the size of the block
Returns:

the padded string to a multiple of size

fabio.fabioutils.previous_filename(name, padding=True)

decrement number

fabio.fabioutils.toAscii(name, excluded=None)
Parameters:
  • name – string to check
  • excluded – tuple of char or string excluded (not list: they are mutable).
Returns:

the name with all non valid char removed

fabio.file_series Module

Authors:

  • Henning O. Sorensen & Erik Knudsen Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk
  • Jon Wright, ESRF
class fabio.file_series.file_series(list_of_strings)

Bases: list

Represents a series of files to iterate has an idea of a current position to do next and prev

You also get from the list python superclass:
append count extend insert pop remove reverse sort
current()

Current position in a sequence

current_image()

Current image in sequence

Returns:fabioimage
current_object()

Current image in sequence

Returns:file_object
first()

First image in series

first_image()

First image in a sequence

Returns:fabioimage
first_object()

First image in a sequence

Returns:file_object
jump(num)

Goto a position in sequence

jump_image(num)

Jump to and read image

Returns:fabioimage
jump_object(num)

Jump to and read image

Returns:file_object
last()

Last in series

last_image()

Last image in a sequence

Returns:fabioimage
last_object()

Last image in a sequence

Returns:file_object
len()

Number of files

next()

Next in a sequence

next_image()

Return the next image

Returns:fabioimage
next_object()

Return the next image

Returns:file_object
previous()

Prev in a sequence

previous_image()

Return the previous image

Returns:fabioimage
previous_object()

Return the previous image

Returns:file_object
class fabio.file_series.filename_series(filename)

Much like the others, but created from a string filename

current()

return current filename string

current_image()

returns the current image as a fabioimage

current_object()

returns the current filename as a fabio.FilenameObject

jump(num)

jump to a specific number

jump_image(num)

returns the image number as a fabioimage

jump_object(num)

returns the filename num as a fabio.FilenameObject

next()

increment number

next_image()

returns the next image as a fabioimage

next_object()

returns the next filename as a fabio.FilenameObject

prev_image()

returns the previos image as a fabioimage

previous()

decrement number

previous_object()

returns the previous filename as a fabio.FilenameObject

fabio.file_series.new_file_series(first_object, nimages=0, step=1, traceback=False)

A generator function that creates a file series starting from a a fabioimage. Iterates through all images in a file (if more than 1), then proceeds to the next file as determined by fabio.next_filename.

Parameters:
  • first_object – the starting fabioimage, which will be the first one yielded in the sequence
  • nimages – the maximum number of images to consider step: step size, will yield the first and every step’th image until nimages is reached. (e.g. nimages = 5, step = 2 will yield 3 images (0, 2, 4)
  • traceback – if True causes it to print a traceback in the event of an exception (missing image, etc.). Otherwise the calling routine can handle the exception as it chooses
  • yields – the next fabioimage in the series. In the event there is an exception, it yields the sys.exec_info for the exception instead. sys.exec_info is a tuple: ( exceptionType, exceptionValue, exceptionTraceback ) from which all the exception information can be obtained.

Suggested usage:

for obj in new_file_series( ... ):
  if not isinstance(obj, fabio.fabioimage.fabioimage ):
    # deal with errors like missing images, non readable files, etc
    # e.g.
    traceback.print_exception(obj[0], obj[1], obj[2])
fabio.file_series.new_file_series0(first_object, first=None, last=None, step=1)

Created from a fabio image first and last are file numbers

class fabio.file_series.numbered_file_series(stem, first, last, extension, digits=4, padding='Y', step=1)

Bases: fabio.file_series.file_series

mydata0001.edf = “mydata” + 0001 + ”.edf” mydata0002.edf = “mydata” + 0002 + ”.edf” mydata0003.edf = “mydata” + 0003 + ”.edf”

fabio.openimage Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:henning.sorensen@risoe.dk

mods for fabio by JPW modification for HDF5 by Jérôme Kieffer

fabio.openimage.do_magic(byts, filename)

Try to interpret the bytes starting the file as a magic number

fabio.openimage.openheader(filename)

return only the header

fabio.openimage.openimage(filename, frame=None)

Try to open an image

fabio.adscimage Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk
  • mods for fabio by JPW
class fabio.adscimage.AdscImage(*args, **kwargs)

Bases: fabio.fabioimage.FabioImage

Read an image in ADSC format (quite similar to edf?)

DEFAULT_EXTENTIONS = ['img']
DESCRIPTION = 'ADSC format (from Area Detector Systems Corporation)'
read(fname, frame=None)

read in the file

swap_needed()
write(fname)

Write adsc format

fabio.adscimage.adscimage

alias of AdscImage

fabio.binaryimage Module

Authors: Gael Goret, Jerome Kieffer, ESRF, France

Emails: gael.goret@esrf.fr, jerome.kieffer@esrf.fr
Brian Richard Pauw <brian@stack.nl>

Binary files images are simple none-compressed 2D images only defined by their : data-type, dimensions, byte order and offset

This simple library has been made for manipulating exotic/unknown files format.

class fabio.binaryimage.BinaryImage(*args, **kwargs)

Bases: fabio.fabioimage.FabioImage

This simple library has been made for manipulating exotic/unknown files format.

Binary files images are simple none-compressed 2D images only defined by their:
data-type, dimensions, byte order and offset

if offset is set to a negative value, the image is read using the last data but n data in the file, skipping any header.

DEFAULT_EXTENTIONS = ['bin']
DESCRIPTION = 'Binary format (none-compressed 2D images)'
estimate_offset_value(fname, dim1, dim2, bytecode='int32')

Estimates the size of a file

read(fname, dim1, dim2, offset=0, bytecode='int32', endian='<')

Read a binary image

Parameters:
  • fname (str) – file name
  • dim1 (int) – image dimensions (Fast index)
  • dim2 (int) – image dimensions (Slow index)
  • offset (int) – starting position of the data-block. If negative, starts at the end.
  • bytecode – can be “int8”,”int16”,”int32”,”int64”,”uint8”,”uint16”,”uint32”,”uint64”,”float32”,”float64”,...
  • endian – among short or long endian (“<” or “>”)
static swap_needed(endian)

Decide if we need to byteswap

write(fname)
fabio.binaryimage.binaryimage

alias of BinaryImage

fabio.bruker100image Module

Authors: Henning O. Sorensen & Erik Knudsen Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk

Jérôme Kieffer, ESRF, Grenoble, France Sigmund Neher, GWDG, Göttingen, Germany

class fabio.bruker100image.Bruker100Image(data=None, header=None)

Bases: fabio.brukerimage.BrukerImage

DEFAULT_EXTENTIONS = ['sfrm']
DESCRIPTION = 'SFRM File format used by Bruker detectors (version 100)'
bpp_to_numpy = {1: <type 'numpy.uint8'>, 2: <type 'numpy.uint16'>, 4: <type 'numpy.int32'>}
gen_header()

Generate headers (with some magic and guesses) format is Bruker100

gen_overflow()

Generate an overflow table, including the underflow, marked as 65535 .

gen_underflow100()

Generate an underflow table

overflows_one_byte()

Generate one-byte overflow table

overflows_two_byte()

Generate two byte overflow table

read(fname, frame=None)

data is stored in three blocks: data (uint8), overflow (uint32), underflow (int32). The blocks are zero paded to a multiple of 16 bits

toPIL16(filename=None)
underflows()

Generate underflow table

version = 100
write(fname)

Write a bruker image

fabio.bruker100image.bruker100image

alias of Bruker100Image

fabio.brukerimage Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk
Based on: openbruker,readbruker, readbrukerheader functions in the opendata
module of ImageD11 written by Jon Wright, ESRF, Grenoble, France

Writer by Jérôme Kieffer, ESRF, Grenoble, France

class fabio.brukerimage.BrukerImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Read and eventually write ID11 bruker (eg smart6500) images

TODO: int32 -> float32 conversion according to the “linear” keyword. This is done and works but we need to check with other program that we are appliing the right formula and not the reciprocal one.

DEFAULT_EXTENTIONS = []
DESCRIPTION = 'File format used by Bruker detectors (version 86)'
HEADERS_KEYS = ['FORMAT', 'VERSION', 'HDRBLKS', 'TYPE', 'SITE', 'MODEL', 'USER', 'SAMPLE', 'SETNAME', 'RUN', 'SAMPNUM', 'TITLE', 'NCOUNTS', 'NOVERFL', 'MINIMUM', 'MAXIMUM', 'NONTIME', 'NLATE', 'FILENAM', 'CREATED', 'CUMULAT', 'ELAPSDR', 'ELAPSDA', 'OSCILLA', 'NSTEPS', 'RANGE', 'START', 'INCREME', 'NUMBER', 'NFRAMES', 'ANGLES', 'NOVER64', 'NPIXELB', 'NROWS', 'NCOLS', 'WORDORD', 'LONGORD', 'TARGET', 'SOURCEK', 'SOURCEM', 'FILTER', 'CELL', 'MATRIX', 'LOWTEMP', 'TEMP', 'HITEMP', 'ZOOM', 'CENTER', 'DISTANC', 'TRAILER', 'COMPRES', 'LINEAR', 'PHD', 'PREAMP', 'CORRECT', 'WARPFIL', 'WAVELEN', 'MAXXY', 'AXIS', 'ENDING', 'DETPAR', 'LUT', 'DISPLIM', 'PROGRAM', 'ROTATE', 'BITMASK', 'OCTMASK', 'ESDCELL', 'DETTYPE', 'NEXP', 'CCDPARM', 'BIS', 'CHEM', 'MORPH', 'CCOLOR', 'CSIZE', 'DNSMET', 'DARK', 'AUTORNG', 'ZEROADJ', 'XTRANS', 'HKL&XY', 'AXES2', 'ENDING2', 'FILTER2', 'LEPTOS', 'CFR']
SPACER = '\x1a\x04'
basic_translate(fname=None)

Does some basic population of the headers so that the writing is possible

bpp_to_numpy = {1: <type 'numpy.uint8'>, 2: <type 'numpy.uint16'>, 4: <type 'numpy.uint32'>}
calc_bpp(data=None, max_entry=4096)

Calculate the number of byte per pixel to get an optimal overflow table.

Returns:byte per pixel
gen_header()

Generate headers (with some magic and guesses) :param format can be 86 or 100

gen_overflow()

Generate an overflow table

read(fname, frame=None)

Read in and unpack the pixels (including overflow table

version = 86
write(fname)

Write a bruker image

fabio.brukerimage.brukerimage

alias of BrukerImage

fabio.cbfimage Module

Authors: Jérôme Kieffer, ESRF
email:jerome.kieffer@esrf.fr

Cif Binary Files images are 2D images written by the Pilatus detector and others. They use a modified (simplified) byte-offset algorithm.

CIF is a library for manipulating Crystallographic information files and tries to conform to the specification of the IUCR

class fabio.cbfimage.CIF(_strFilename=None)

Bases: dict

This is the CIF class, it represents the CIF dictionary; and as a a python dictionary thus inherits from the dict built in class.

keys are always unicode (str in python3) values are bytes

BINARY_MARKER = '--CIF-BINARY-FORMAT-SECTION--'
BLANK = [' ', '\t', '\r', '\n', '\r\n', '\n\r']
DATA = 'data_'
DOUBLE_QUOTE = '"'
EOL = ['\r', '\n', '\r\n', '\n\r']
GLOBAL = 'global_'
HASH = '#'
LOOP = 'loop_'
static LoopHasKey(loop, key)

Returns True if the key (string) exist in the array called loop

QUESTIONMARK = '?'
SAVE = 'save_'
SEMICOLUMN = ';'
SINGLE_QUOTE = "'"
START_COMMENT = ("'", '"')
STOP = 'stop_'
UNDERSCORE = '_'
exists(sKey)

Check if the key exists in the CIF and is non empty.

Parameters:
  • sKey (str) – CIF key
  • cif – CIF dictionary
Returns:

True if the key exists in the CIF dictionary and is non empty

Return type:

boolean

existsInLoop(sKey)

Check if the key exists in the CIF dictionary.

Parameters:
  • sKey (str) – CIF key
  • cif – CIF dictionary
Returns:

True if the key exists in the CIF dictionary and is non empty

Return type:

boolean

i = '\t'
static isAscii(text)

Check if all characters in a string are ascii,

Parameters:text (str) – input string
Returns:boolean
Return type:boolean
loadCHIPLOT(_strFilename)

Load the powder diffraction CHIPLOT file and returns the pd_CIF dictionary in the object

Parameters:_strFilename (str) – the name of the file to open
Returns:the CIF object corresponding to the powder diffraction
Return type:dictionary
loadCIF(_strFilename, _bKeepComment=False)

Load the CIF file and populates the CIF dictionary into the object

Parameters:_strFilename (str) – the name of the file to open
Returns:None
pop(key, default=None)
popitem(key, default=None)
readCIF(_strFilename, _bKeepComment=False)

Load the CIF file and populates the CIF dictionary into the object

Parameters:_strFilename (str) – the name of the file to open
Returns:None
saveCIF(_strFilename='test.cif', linesep='\n', binary=False)

Transforms the CIF object in string then write it into the given file :param _strFilename: the of the file to be written :param linesep: line separation used (to force compatibility with windows/unix) :param binary: Shall we write the data as binary (True only for imageCIF/CBF) :return: None

tostring(_strFilename=None, linesep='\n')

Converts a cif dictionnary to a string according to the CIF syntax.

Parameters:
  • _strFilename (str) – the name of the filename to be appended in the header of the CIF file.
  • linesep – default line separation (can be ‘n’ or ‘rn’).
Returns:

a string that corresponds to the content of the CIF-file.

class fabio.cbfimage.CbfImage(data=None, header=None, fname=None)

Bases: fabio.fabioimage.FabioImage

Read the Cif Binary File data format

BINARAY_SECTION = '--CIF-BINARY-FORMAT-SECTION--'
CIF_BINARY_BLOCK_KEY = '_array_data.data'
DEFAULT_EXTENTIONS = ['cbf']
DESCRIPTION = 'Cif Binary Files format (used by the Pilatus detectors and others)'
PADDING = 512
STARTER = '\x0c\x1a\x04\xd5'
static checkData(data=None)
read(fname, frame=None, check_MD5=True, only_raw=False)

Read in header into self.header and the data into self.data

Parameters:fname (str) – name of the file
Returns:fabioimage instance
read_raw_data(infile)

Read and return the raw data chunk

Parameters:infile – opened file are correct position
Returns:raw compressed stream
write(fname)

write the file in CBF format :param str fname: name of the file

fabio.cbfimage.cbfimage

alias of CbfImage

fabio.dm3image Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk
  • Jon Wright, ESRF
class fabio.dm3image.Dm3Image(*args, **kwargs)

Bases: fabio.fabioimage.FabioImage

Read and try to write the dm3 data format

DEFAULT_EXTENTIONS = ['dm3']
DESCRIPTION = 'Digital Micrograph DM3 file format'
read(fname, frame=None)
read_data()
read_tag_entry()
read_tag_group()
read_tag_type()
readbytes(bytes_to_read, format, swap=True)
fabio.dm3image.dm3image

alias of Dm3Image

fabio.edfimage Module

License: MIT

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jon Wright & Jérôme Kieffer: European Synchrotron Radiation Facility; Grenoble (France)
class fabio.edfimage.EdfImage(data=None, header=None, frames=None)

Bases: fabio.fabioimage.FabioImage

Read and try to write the ESRF edf data format

DEFAULT_EXTENTIONS = ['edf', 'cor']
DESCRIPTION = 'European Synchrotron Radiation Facility data format'
RESERVED_HEADER_KEYS = ['HEADERID', 'IMAGE', 'BYTEORDER', 'DATATYPE', 'DIM_1', 'DIM_2', 'DIM_3', 'SIZE']
appendFrame(frame=None, data=None, header=None)

Method used add a frame to an EDF file :param frame: frame to append to edf image :type frame: instance of Frame

bpp
bytecode
capsHeader

property: capsHeader of EDF file, i.e. the keys of the header in UPPER case.

static check_header(header=None)

Empty for FabioImage but may be populated by others classes

data

property: data of EDF file

delCapsHeader()

deleter for edf capsHeader

delData()

deleter for edf Data

delHeader()

Deleter for edf header

deleteFrame(frameNb=None)

Method used to remove a frame from an EDF image. by default the last one is removed. :param int frameNb: frame number to remove, by default the last.

dim1
dim2
dims
fastReadData(filename=None)

This is a special method that will read and return the data from another file ... The aim is performances, ... but only supports uncompressed files.

Returns:data from another file using positions from current EdfImage
fastReadROI(filename, coords=None)

Method reading Region of Interest of another file based on metadata available in current EdfImage. The aim is performances, ... but only supports uncompressed files.

Returns:ROI-data from another file using positions from current EdfImage
Return type:numpy 2darray
getBpp()
getByteCode()
getCapsHeader()

getter for edf headers keys in upper case :return: data for current frame :rtype: dict

getData()

getter for edf Data :return: data for current frame :rtype: numpy.ndarray

getDim1()
getDim2()
getDims()
getHeader()

Getter for the headers. used by the property header,

getNbFrames()

Getter for number of frames

getframe(num)

returns the file numbered ‘num’ in the series as a FabioImage

header

property: header of EDF file

next()

Returns the next file in the series as a fabioimage

Raises IOError:When there is no next file or image in the series.
nframes

Getter for number of frames

previous()

returns the previous file in the series as a FabioImage

read(fname, frame=None)
Read in header into self.header and
the data into self.data
setBpp(_iVal)
setByteCode(_iVal)
setCapsHeader(_data)

Enforces the propagation of the header_keys to the list of frames :param _data: numpy array representing data

setData(_data)

Enforces the propagation of the data to the list of frames :param _data: numpy array representing data

setDim1(_iVal)
setDim2(_iVal)
setHeader(_dictHeader)

Enforces the propagation of the header to the list of frames

setNbFrames(val)

Setter for number of frames ... should do nothing. Here just to avoid bugs

swap_needed()

Decide if we need to byteswap

Returns:True if needed, False else and None if not understood
unpack()

Unpack a binary blob according to the specification given in the header and return the dataset

Returns:dataset as numpy.ndarray
write(fname, force_type=None, fit2dMode=False)

Try to write a file check we can write zipped also mimics that fabian was writing uint16 (we sometimes want floats)

Parameters:force_type – can be numpy.uint16 or simply “float”
class fabio.edfimage.Frame(data=None, header=None, number=None)

Bases: object

A class representing a single frame in an EDF file

bytecode
data

Unpack a binary blob according to the specification given in the header

Returns:dataset as numpy.ndarray
getByteCode()
getData()

Unpack a binary blob according to the specification given in the header

Returns:dataset as numpy.ndarray
getEdfBlock(force_type=None, fit2dMode=False)
Parameters:
  • force_type (string or numpy.dtype) – type of the dataset to be enforced like “float64” or “uint16”
  • fit2dMode (boolean) – enforce compatibility with fit2d and starts counting number of images at 1
Returns:

ascii header block + binary data block

Return type:

python bytes with the concatenation of the ascii header and the binary data block

parseheader(block)

Parse the header in some EDF format from an already open file

Parameters:block (string, should be full ascii) – string representing the header block.
Returns:size of the binary blob
setByteCode(_iVal)
setData(npa=None)

Setter for data in edf frame

swap_needed()

Decide if we need to byteswap

fabio.edfimage.edfimage

alias of EdfImage

fabio.eigerimage Module

Eiger data/master file reader for FabIO

Eiger data files are HDF5 files with one group called “entry” and a dataset called “data” in it (now in a data group).

Those dataset are usually compressed using LZ4 and/or bitshuffle compression:

H5py (>2.5) and libhdf5 (>1.8.10) with the corresponding compression plugin are needed to actually read the data. Under windows, those plugins can easily be installed via this repository: https://github.com/silx-kit/hdf5plugin

class fabio.eigerimage.EigerImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

FabIO image class for Images from Eiger data files (HDF5)

DEFAULT_EXTENTIONS = ['h5']
DESCRIPTION = 'Eiger data files based on HDF5'
getframe(num)

returns the frame numbered ‘num’ in the stack if applicable

next()

returns the next frame in the series as a fabioimage

previous()

returns the previous frame in the series as a fabioimage

read(fname, frame=None)

try to read image :param fname: name of the file

write(fname)

try to write image :param fname: name of the file

fabio.eigerimage.eigerimage

alias of EigerImage

fabio.fit2dimage Module

FabIO reader for Fit2D binary images

TODO: handle big-endian files

class fabio.fit2dimage.Fit2dImage(*arg, **kwargs)

Bases: fabio.fabioimage.FabioImage

FabIO image class for Images for XXX detector

BUFFER_SIZE = 512
DEFAULT_EXTENTIONS = ['f2d']
DESCRIPTION = 'Fit2d file format'
ENC = 'ascii'
PIXELS_PER_CHUNK = 128
read(fname, frame=None)

try to read image

Parameters:fname – name of the file
fabio.fit2dimage.fit2dimage

alias of Fit2dImage

fabio.fit2dimage.hex_to(stg, type_='int')

convert a 8-byte-long string (bytes) into an int or a float

Parameters:
  • stg – bytes string
  • type (str) – “int” or “float”

fabio.fit2dmaskimage Module

Author: Andy Hammersley, ESRF Translation into python/fabio: Jon Wright, ESRF. Writer: Jérôme Kieffer

class fabio.fit2dmaskimage.Fit2dMaskImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Read and try to write Andy Hammersley’s mask format

DEFAULT_EXTENTIONS = ['msk']
DESCRIPTION = 'Fit2d mask file format'
static check_data(data=None)
read(fname, frame=None)
Read in header into self.header and
the data into self.data
write(fname)

Try to write a file

fabio.fit2dmaskimage.fit2dmaskimage

alias of Fit2dMaskImage

fabio.fit2dspreadsheetimage Module

Read the fit2d ascii image output
  • Jon Wright, ESRF
class fabio.fit2dspreadsheetimage.Fit2dSpreadsheetImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Read a fit2d ascii format

DEFAULT_EXTENTIONS = ['spr']
DESCRIPTION = 'Fit2d spreadsheet ascii file format'
read(fname, frame=None)
Read in header into self.header and
the data into self.data
fabio.fit2dspreadsheetimage.fit2dspreadsheetimage

alias of Fit2dSpreadsheetImage

fabio.GEimage Module

fabio.GEimage.GEimage

alias of GeImage

class fabio.GEimage.GeImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

DEFAULT_EXTENTIONS = []
DESCRIPTION = 'GE a-Si Angio detector file format'
getframe(num)

Returns a frame as a new FabioImage object

next()

Get the next image in a series as a fabio image

previous()

Get the previous image in a series as a fabio image

read(fname, frame=None)

Read in header into self.header and the data into self.data

fabio.GEimage.demo()

fabio.hdf5image Module

HDF5 image for FabIO

Authors: Jerome Kieffer email: Jerome.Kieffer@terre-adelie.org

Specifications: input should being the form:

filename::path

Only supports ndim=2 or 3 (exposed as a stack of images

class fabio.hdf5image.Hdf5Image(*arg, **kwargs)

Bases: fabio.fabioimage.FabioImage

FabIO image class for Images from an HDF file

filename::dataset

DEFAULT_EXTENTIONS = ['h5']
DESCRIPTION = 'Hierarchical Data Format HDF5 flat reader'
getframe(num)

Returns a frame as a new FabioImage object :param num: frame number

next()

Get the next image in a series as a fabio image

previous()

Get the previous image in a series as a fabio image

read(fname, frame=None)

try to read image :param fname: filename::datasetpath

fabio.hdf5image.hdf5image

alias of Hdf5Image

fabio.HiPiCimage Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk
  • Jon Wright, ESRF

Information about the file format from Masakatzu Kobayashi is highly appreciated

fabio.HiPiCimage.HiPiCimage

alias of HipicImage

class fabio.HiPiCimage.HipicImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Read HiPic images e.g. collected with a Hamamatsu CCD camera

DEFAULT_EXTENTIONS = ['img']
DESCRIPTION = 'HiPic file format from Hamamatsu CCD cameras'
read(fname, frame=None)
Read in header into self.header and
the data into self.data

fabio.kcdimage Module

Authors: Jerome Kieffer, ESRF
email:jerome.kieffer@esrf.fr

kcd images are 2D images written by the old KappaCCD diffractometer built by Nonius in the 1990’s Based on the edfimage.py parser.

class fabio.kcdimage.KcdImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Read the Nonius kcd data format

DEFAULT_EXTENTIONS = ['kcd']
DESCRIPTION = "KCD file format from Nonius's KappaCCD diffractometer"
static checkData(data=None)
read(fname, frame=None)
Read in header into self.header and
the data into self.data
fabio.kcdimage.kcdimage

alias of KcdImage

fabio.mar345image Module

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jon Wright, Jérôme Kieffer & Gaël Goret: European Synchrotron Radiation Facility; Grenoble (France)

Supports Mar345 imaging plate and Mar555 flat panel

Documentation on the format is available from: http://rayonix.com/site_media/downloads/mar345_formats.pdf

class fabio.mar345image.Mar345Image(*args, **kwargs)

Bases: fabio.fabioimage.FabioImage

DEFAULT_EXTENTIONS = ['mar2300']
DESCRIPTION = 'File format from Mar345 imaging plate and Mar555 flat panel'
ascii_header(linesep='\n', size=4096)

Generate the ASCII header for writing

Parameters:
  • linesep – end of line separator
  • size – size of the header (without the binary header)
Returns:

string (unicode) containing the mar345 header

binary_header()
Returns:Binary header of mar345 file
static checkData(data=None)
nb_overflow_pixels()
read(fname, frame=None)

Read a mar345 image

write(fname)

Try to write mar345 file. It uses a MIT implementation of the CCP4 (LGPL) PCK1 algo from JPA

fabio.mar345image.mar345image

alias of Mar345Image

fabio.mrcimage Module

MRC image for FabIO

Authors: Jerome Kieffer email: Jerome.Kieffer@terre-adelie.org

Specifications from: http://ami.scripps.edu/software/mrctools/mrc_specification.php

class fabio.mrcimage.MrcImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

FabIO image class for Images from a mrc image stack

DEFAULT_EXTENTIONS = ['mrc']
DESCRIPTION = 'Medical Research Council file format for 3D electron density and 2D images'
KEYS = ('NX', 'NY', 'NZ', 'MODE', 'NXSTART', 'NYSTART', 'NZSTART', 'MX', 'MY', 'MZ', 'CELL_A', 'CELL_B', 'CELL_C', 'CELL_ALPHA', 'CELL_BETA', 'CELL_GAMMA', 'MAPC', 'MAPR', 'MAPS', 'DMIN', 'DMAX', 'DMEAN', 'ISPG', 'NSYMBT', 'EXTRA', 'ORIGIN', 'MAP', 'MACHST', 'RMS', 'NLABL')
getframe(num)

Returns a frame as a new FabioImage object :param num: frame number

next()

Get the next image in a series as a fabio image

previous()

Get the previous image in a series as a fabio image

read(fname, frame=None)

try to read image :param fname: name of the file :param frame:

fabio.mrcimage.mrcimage

alias of MrcImage

fabio.marccdimage Module

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jon Wright: European Synchrotron Radiation Facility; Grenoble (France)

marccdimage can read MarCCD and MarMosaic images including header info.

JPW : Use a parser in case of typos (sorry?)

class fabio.marccdimage.MarccdImage(*args, **kwds)

Bases: fabio.tifimage.TifImage

Read in data in mar ccd format, also MarMosaic images, including header info

DEFAULT_EXTENTIONS = ['mccd']
DESCRIPTION = 'File format from MarCCD and MarMosaic images'
fabio.marccdimage.interpret_header(header, fmt, names)

given a format and header interpret it

fabio.marccdimage.make_format(c_def_string)

Reads the header definition in c and makes the format string to pass to struct.unpack

fabio.marccdimage.marccdimage

alias of MarccdImage

fabio.numpyimage Module

Generic numpy file reader for FabIO

class fabio.numpyimage.NumpyImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

FabIO image class for Images for numpy array dumps

Source: http://docs.scipy.org/doc/numpy/neps/npy-format.html

The first 6 bytes are a magic string: exactly “x93NUMPY”.

The next 1 byte is an unsigned byte: the major version number of the file format, e.g. x01.

The next 1 byte is an unsigned byte: the minor version number of the file format, e.g. x00. Note: the version of the file format is not tied to the version of the numpy package.

The next 2 bytes form a little-endian unsigned short int: the length of the header data HEADER_LEN.

The next HEADER_LEN bytes form the header data describing the array’s format. It is an ASCII string which contains a Python literal expression of a dictionary. It is terminated by a newline (‘n’) and padded with spaces (‘x20’) to make the total length of the magic string + 4 + HEADER_LEN be evenly divisible by 16 for alignment purposes.

The dictionary contains three keys:

“descr” : dtype.descr
An object that can be passed as an argument to the numpy.dtype() constructor to create the array’s dtype.
“fortran_order” : bool
Whether the array data is Fortran-contiguous or not. Since Fortran-contiguous arrays are a common form of non-C-contiguity, we allow them to be written directly to disk for efficiency.
“shape” : tuple of int
The shape of the array.

For repeatability and readability, this dictionary is formatted using pprint.pformat() so the keys are in alphabetic order.

Following the header comes the array data. If the dtype contains Python objects (i.e. dtype.hasobject is True), then the data is a Python pickle of the array. Otherwise the data is the contiguous (either C- or Fortran-, depending on fortran_order) bytes of the array. Consumers can figure out the number of bytes by multiplying the number of elements given by the shape (noting that shape=() means there is 1 element) by dtype.itemsize.

The version 1.0 format only allowed the array header to have a total size of 65535 bytes. This can be exceeded by structured arrays with a large number of columns. The version 2.0 format extends the header size to 4 GiB. numpy.save will automatically save in 2.0 format if the data requires it, else it will always use the more compatible 1.0 format.

The description of the fourth element of the header therefore has become:

The next 4 bytes form a little-endian unsigned int: the length of the header data HEADER_LEN.

DEFAULT_EXTENTIONS = ['npy']
DESCRIPTION = 'Numpy array file format'
getframe(num)

returns the frame numbered ‘num’ in the stack if applicable

next()

returns the next frame in the series as a fabioimage

previous()

returns the previous frame in the series as a fabioimage

read(fname, frame=None)

Try to read image

Parameters:fname – name of the file
slice_dataset(frame=None)
write(fname)

Try to write image

Parameters:fname – name of the file
fabio.numpyimage.numpyimage

alias of NumpyImage

fabio.OXDimage Module

Reads Oxford Diffraction Sapphire 3 images

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jon Wright, Jérôme Kieffer & Gaël Goret: European Synchrotron Radiation Facility; Grenoble (France)
fabio.OXDimage.OXDimage

alias of OxdImage

class fabio.OXDimage.OxdImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

Oxford Diffraction Sapphire 3 images reader/writer class

Note: We assume the binary format is alway little-endian, is this True ?

DEFAULT_EXTENTIONS = ['img']
DESCRIPTION = 'Oxford Diffraction Sapphire 3 file format'
static checkData(data=None)
dec_TY5(stream)

Attempt to decode TY5 compression scheme

Parameters:stream – input stream
Returns:1D array with data
getCompressionRatio()

calculate the compression factor obtained vs raw data

read(fname, frame=None)
Read in header into self.header and
the data into self.data
write(fname)

Write Oxford diffraction images: this is still beta Only TY1 compressed images is currently possible :param fname: output filename

class fabio.OXDimage.Section(size, dictHeader)

Bases: object

Small helper class for writing binary headers

getSize(dtype)
setData(key, offset, dtype, default=None)
Parameters:
  • offset – int, starting position in the section
  • key – name of the header key
  • dtype – type of the data to insert (defines the size!)

fabio.pilatusimage Module

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jon Wright: European Synchrotron Radiation Facility; Grenoble (France)
class fabio.pilatusimage.PilatusImage(*args, **kwds)

Bases: fabio.tifimage.TifImage

Read in Pilatus format, also pilatus images, including header info

DEFAULT_EXTENTIONS = ['tif', 'tiff']
DESCRIPTION = 'Pilatus file format based on Tiff'
fabio.pilatusimage.pilatusimage

alias of PilatusImage

fabio.pixiimage Module

Author: Jon Wright, ESRF.

class fabio.pixiimage.PixiImage(data=None, header=None)

Bases: fabio.fabioimage.FabioImage

DEFAULT_EXTENTIONS = []
DESCRIPTION = 'Pixi file format'
getframe(num)

Returns a frame as a new FabioImage object

next()

Get the next image in a series as a fabio image

previous()

Get the previous image in a series as a fabio image

read(fname, frame=None)
fabio.pixiimage.demo(fname)
fabio.pixiimage.pixiimage

alias of PixiImage

fabio.pnmimage Module

Authors: Henning O. Sorensen & Erik Knudsen
Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:henning.sorensen@risoe.dk
  • Jérôme Kieffer: European Synchrotron Radiation Facility; Grenoble (France)

License: MIT

class fabio.pnmimage.PnmImage(*arg, **kwargs)

Bases: fabio.fabioimage.FabioImage

DEFAULT_EXTENTIONS = ['pnm', 'pgm', 'pbm']
DESCRIPTION = 'PNM file format'
P1dec(buf, bytecode)
P2dec(buf, bytecode)
P3dec(buf, bytecode)
P4dec(buf, bytecode)
P5dec(buf, bytecode)
P6dec(buf, bytecode)
P7dec(buf, bytecode)
static check_data(data=None)
read(fname, frame=None)

try to read PNM images :param fname: name of the file :param frame: not relevant here! PNM is always single framed

write(fname)

try to write image. For now, limited to :param fname: name of the file

fabio.pnmimage.pnmimage

alias of PnmImage

fabio.raxisimage Module

Authors: Brian R. Pauw email: brian@stack.nl

Written using information gleaned from the ReadRAXISImage program written by T. L. Hendrixson, made available by Rigaku Americas. Available at: http://www.rigaku.com/downloads/software/readimage.html

class fabio.raxisimage.RaxisImage(*arg, **kwargs)

Bases: fabio.fabioimage.FabioImage

FabIO image class to read Rigaku RAXIS image files. Write functions are not planned as there are plenty of more suitable file formats available for storing detector data. In particular, the MSB used in Rigaku files is used in an uncommon way: it is used as a multiply-by flag rather than a normal image value bit. While it is said to multiply by the value specified in the header, there is at least one case where this is found not to hold, so YMMV and be careful.

DEFAULT_EXTENTIONS = ['img']
DESCRIPTION = 'Rigaku RAXIS file format'
read(fname, frame=None)

try to read image :param fname: name of the file :param frame:

rigakuKeys()
swap_needed()

not sure if this function is needed

fabio.raxisimage.raxisimage

alias of RaxisImage

fabio.tifimage Module

FabIO class for dealing with TIFF images. In facts wraps TiffIO from V. Armando Solé (available in PyMca) or falls back to PIL

Authors:

  • Henning O. Sorensen & Erik Knudsen: Center for Fundamental Research: Metal Structures in Four Dimensions; Risoe National Laboratory; Frederiksborgvej 399; DK-4000 Roskilde; email:erik.knudsen@risoe.dk
  • Jérôme Kieffer: European Synchrotron Radiation Facility; Grenoble (France)

License: MIT

class fabio.tifimage.Image_File_Directory(instring=None, offset=-1)

Bases: object

unpack(instring, offset=-1)
class fabio.tifimage.Image_File_Directory_entry(tag=0, tag_type=0, count=0, offset=0)

Bases: object

extract_data(full_string)
unpack(strInput)
class fabio.tifimage.TifImage(*args, **kwds)

Bases: fabio.fabioimage.FabioImage

Images in TIF format Wraps TiffIO

DEFAULT_EXTENTIONS = ['tif', 'tiff']
DESCRIPTION = 'Tagged image file format'
read(fname, frame=None)

Wrapper for TiffIO.

write(fname)

Overrides the FabioImage.write method and provides a simple TIFF image writer.

Parameters:fname (str) – name of the file to save the image to
class fabio.tifimage.Tiff_header(string)

Bases: object

fabio.tifimage.tifimage

alias of TifImage

fabio.xsdimage Module

Authors: Jérôme Kieffer, ESRF
email:jerome.kieffer@esrf.fr

XSDimge are XML files containing numpy arrays

class fabio.xsdimage.XsdImage(data=None, header=None, fname=None)

Bases: fabio.fabioimage.FabioImage

Read the XSDataImage XML File data format

DEFAULT_EXTENTIONS = ['xml', 'xsd']
DESCRIPTION = 'XSDataImage XML file format'
read(fname, frame=None)
fabio.xsdimage.xsdimage

alias of XsdImage

fabio.compression Module

Compression and decompression algorithm for various formats

Authors: Jérôme Kieffer, ESRF
email:jerome.kieffer@esrf.fr
class fabio.compression.ExternalCompressors

Bases: object

Class to handle lazy discovery of external compression programs

COMMANDS = {'.bz2': ['bzip2-dcf'], '.gz': ['gzip', '-dcf']}
fabio.compression.compByteOffset(data)

Compress a dataset into a string using the byte_offet algorithm

Parameters:data – ndarray
Returns:string/bytes with compressed data

test = numpy.array([0,1,2,127,0,1,2,128,0,1,2,32767,0,1,2,32768,0,1,2,2147483647,0,1,2,2147483648,0,1,2,128,129,130,32767,32768,128,129,130,32768,2147483647,2147483648])

fabio.compression.compByteOffset_cython(data)

Compress a dataset into a string using the byte_offet algorithm

Parameters:data – ndarray
Returns:string/bytes with compressed data

test = numpy.array([0,1,2,127,0,1,2,128,0,1,2,32767,0,1,2,32768,0,1,2,2147483647,0,1,2,2147483648,0,1,2,128,129,130,32767,32768,128,129,130,32768,2147483647,2147483648])

fabio.compression.compByteOffset_numpy(data)

Compress a dataset into a string using the byte_offet algorithm

Parameters:data – ndarray
Returns:string/bytes with compressed data

test = numpy.array([0,1,2,127,0,1,2,128,0,1,2,32767,0,1,2,32768,0,1,2,2147483647,0,1,2,2147483648,0,1,2,128,129,130,32767,32768,128,129,130,32768,2147483647,2147483648])

fabio.compression.compPCK(data)

Modified CCP4 pck compressor used in MAR345 images

Parameters:data – numpy.ndarray (square array)
Returns:compressed stream
fabio.compression.compTY1(data)

Modified byte offset compressor used in Oxford Diffraction images

Parameters:data – numpy.ndarray with the input data (integers!)
Returns:3-tuple of strings: raw_8,raw_16,raw_32 containing raw data with integer of the given size
fabio.compression.decByteOffset(stream, size=None, dtype='int64')
Analyze a stream of char with any length of exception:
2, 4, or 8 bytes integers
Parameters:
  • stream – string representing the compressed data
  • size – the size of the output array (of longInts)
Returns:

1D-ndarray

fabio.compression.decByteOffset_cython(stream, size=None, dtype='int64')
Analyze a stream of char with any length of exception:
2, 4, or 8 bytes integers
Parameters:
  • stream – string representing the compressed data
  • size – the size of the output array (of longInts)
Returns:

1D-ndarray

fabio.compression.decByteOffset_numpy(stream, size=None, dtype='int64')
Analyze a stream of char with any length of exception:
2, 4, or 8 bytes integers
Parameters:
  • stream – string representing the compressed data
  • size – the size of the output array (of longInts)
Returns:

1D-ndarray

fabio.compression.decBzip2(stream)

Decompress a chunk of data using the bzip2 algorithm from Python

fabio.compression.decGzip(stream)

Decompress a chunk of data using the gzip algorithm from system or from Python

Parameters:stream – compressed data
Returns:uncompressed stream
fabio.compression.decKM4CCD(raw_8, raw_16=None, raw_32=None)

Modified byte offset decompressor used in Oxford Diffraction images

Note: Always expect little endian data on the disk

Parameters:
  • raw_8 – strings containing raw data with integer 8 bits
  • raw_16 – strings containing raw data with integer 16 bits
  • raw_32 – strings containing raw data with integer 32 bits
Returns:

numpy.ndarray

fabio.compression.decPCK(stream, dim1=None, dim2=None, overflowPix=None, version=None, normal_start=None, swap_needed=None)

Modified CCP4 pck decompressor used in MAR345 images

Parameters:
  • raw – input string (bytes in python3)
  • dim1,dim2 – optional parameters size
  • overflowPix – optional parameters: number of overflowed pixels
  • version – PCK version 1 or 2
  • normal_start – position of the normal value section (can be auto-guessed)
  • swap_needed – set to True when reading data from a foreign endianness (little on big or big on little)
Returns:

ndarray of 2D with the right size

fabio.compression.decTY1(raw_8, raw_16=None, raw_32=None)

Modified byte offset decompressor used in Oxford Diffraction images

Note: Always expect little endian data on the disk

Parameters:
  • raw_8 – strings containing raw data with integer 8 bits
  • raw_16 – strings containing raw data with integer 16 bits
  • raw_32 – strings containing raw data with integer 32 bits
Returns:

numpy.ndarray

fabio.compression.decZlib(stream)

Decompress a chunk of data using the zlib algorithm from Python

fabio.compression.endianness()

Return the native endianness of the system

fabio.compression.md5sum(blob)

returns the md5sum of an object...

fabio.converters Module

Converter module.

This is for the moment empty (populated only with almost pass through anonymous functions) but aims to be populated with more sofisticated translators...

fabio.converters.convert_data(inp, outp, data)

Return data converted to the output format ... over-simplistic implementation for the moment...

Parameters:
  • inp (str) – input format (like “cbfimage”)
  • outp (str) – output format (like “cbfimage”)
  • data (numpy.ndarray) – the actual dataset to be transformed
fabio.converters.convert_data_integer(data)

convert data to integer

fabio.converters.convert_header(inp, outp, header)

Return header converted to the output format

Parameters:
  • inp (str) – input format (like “cbfimage”)
  • outp (str) – output format (like “cbfimage”)
  • header (dict) – the actual set of headers to be transformed

fabio.datIO Module

Authors: Henning O. Sorensen & Erik Knudsen

Center for Fundamental Research: Metal Structures in Four Dimensions Risoe National Laboratory Frederiksborgvej 399 DK-4000 Roskilde email:erik.knudsen@risoe.dk

and Jon Wright, ESRF

class fabio.datIO.columnfile(data=None, clabels=None, rlabels=None, fname=None)

Bases: fabio.datIO.fabiodata

Concrete fabiodata class

read(fname, frame=None)
class fabio.datIO.fabiodata(data=None, clabels=None, rlabels=None, fname=None)

Bases: object

A common class for dataIO in fable Contains a 2d numpy array for keeping data, and two lists (clabels and rlabels) containing labels for columns and rows respectively

read(fname=None, frame=None)

To be overridden by format specific subclasses

fabio.TiffIO Module

class fabio.TiffIO.TiffIO(filename, mode=None, cache_length=20, mono_output=False)

Bases: object

close()
getData(nImage, **kw)
getImage(nImage)
getImageFileDirectories(fd=None)
getInfo(nImage, **kw)
getNumberOfImages()
writeImage(image0, info=None, software=None, date=None)

fabio.readbytestream Module

Reads a bytestream

Authors: Jon Wright Henning O. Sorensen & Erik Knudsen
ESRF Risoe National Laboratory
fabio.readbytestream.readbytestream(fil, offset, x, y, nbytespp, datatype='int', signed='n', swap='n', typeout=<type 'numpy.uint16'>)

Reads in a bytestream from a file (which may be a string indicating a filename, or an already opened file (should be “rb”)) offset is the position (in bytes) where the pixel data start nbytespp = number of bytes per pixel type can be int or float (4 bytes pp) or double (8 bytes pp) signed: normally signed data ‘y’, but ‘n’ to try to get back the right numbers when unsigned data are converted to signed (python once had no unsigned numeric types.) swap, normally do not bother, but ‘y’ to swap bytes typeout is the numpy type to output, normally uint16, but more if overflows occurred x and y are the pixel dimensions

TODO : Read in regions of interest

PLEASE LEAVE THE STRANGE INTERFACE ALONE - IT IS USEFUL FOR THE BRUKER FORMAT