Package fabio :: Module readbytestream
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Module readbytestream

source code


Reads a bytestream

Authors: Jon Wright    Henning O. Sorensen & Erik Knudsen
         ESRF          Risoe National Laboratory

Functions [hide private]
 
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
source code
Variables [hide private]
  DATATYPES = {('double', 'y', 4): <type 'numpy.float64'>, ('flo...
  __package__ = 'fabio'
Function Details [hide private]

readbytestream(fil, offset, x, y, nbytespp, datatype='int', signed='n', swap='n', typeout=<type 'numpy.uint16'>)

source code 

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


Variables Details [hide private]

DATATYPES

Value:
{('double', 'y', 4): <type 'numpy.float64'>,
 ('float', 'y', 4): <type 'numpy.float32'>,
 ('int', 'n', 1): <type 'numpy.uint8'>,
 ('int', 'n', 2): <type 'numpy.uint16'>,
 ('int', 'n', 4): <type 'numpy.uint32'>,
 ('int', 'y', 1): <type 'numpy.int8'>,
 ('int', 'y', 2): <type 'numpy.int16'>,
 ('int', 'y', 4): <type 'numpy.int32'>}