Source code for PyMca5.PyMcaIO.SupaVisioMap

#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
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# Copyright (c) 2004-2014 European Synchrotron Radiation Facility
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__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import sys
import os
import numpy
import struct
import time
from PyMca5 import DataObject
from PyMca5.PyMcaIO import PyMcaIOHelper

DEBUG = 0
SOURCE_TYPE="EdfFileStack"

[docs]class SupaVisioMap(DataObject.DataObject): def __init__(self, filename): DataObject.DataObject.__init__(self) fileSize = os.path.getsize(filename) if sys.platform == 'win32': fid = open(filename, 'rb') else: fid = open(filename, 'r') data=fid.read() fid.close() self.sourceName = [filename] e0 = time.time() values = struct.unpack("%dH" % (len(data)/2), data) data = numpy.array(values, numpy.uint16) #print values nrows = values[1] ncols = values[2] self.nSpectra = nrows * ncols data.shape = [len(data)/3, 3] self.nChannels = data[:,2].max() + 1 #fill the header self.header =[] self.nRows = nrows #arrange as an EDF Stack self.info = {} self.__nFiles = (self.nSpectra)/self.nRows self.__nImagesPerFile = 1 e0 = time.time() self.data = PyMcaIOHelper.fillSupaVisio(data).astype(numpy.float); shape = self.data.shape for i in range(len(shape)): key = 'Dim_%d' % (i+1,) self.info[key] = shape[i] self.info["SourceType"] = SOURCE_TYPE self.info["SourceName"] = self.sourceName self.info["Size"] = self.__nFiles * self.__nImagesPerFile self.info["NumberOfFiles"] = self.__nFiles * 1 self.info["FileIndex"] = 0 self.info["McaCalib"] = [0.0, 1.0, 0.0] self.info["Channel0"] = 0.0
if __name__ == "__main__": filename = None if len(sys.argv) > 1: filename = sys.argv[1] elif os.path.exists(".\PIGE\010826.pige"): filename = ".\PIGE\010826.pige" if filename is not None: DEBUG = 1 w = SupaVisioMap(filename) else: print("Please supply input filename")