Source code for PyMca5.PyMcaIO.OpusDPTMap
#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2014 European Synchrotron Radiation Facility
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# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
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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 numpy
from PyMca5 import DataObject
from PyMca5.PyMcaIO import specfilewrapper as specfile
SOURCE_TYPE = "SpecFileStack"
[docs]class OpusDPTMap(DataObject.DataObject):
def __init__(self, filename):
DataObject.DataObject.__init__(self)
sf = specfile.Specfile(filename)
scan = sf[1]
data = scan.data()
nMca, nchannels = data.shape
nMca = nMca - 1
xValues = data[0, :] * 1
xValues.shape = -1
if 0:
self.data = numpy.zeros((nMca, nchannels), numpy.float32)
self.data[:, :] = data[1:, :]
self.data.shape = 1, nMca, nchannels
else:
self.data = data[1:, :]
self.data.shape = 1, nMca, nchannels
data = None
#perform a least squares adjustment to a line
x = numpy.arange(nchannels).astype(numpy.float32)
Sxy = numpy.dot(x, xValues.T)
Sxx = numpy.dot(x, x.T)
Sx = x.sum()
Sy = xValues.sum()
d = nchannels * Sxx - Sx * Sx
zero = (Sxx * Sy - Sx * Sxy) / d
gain = (nchannels * Sxy - Sx * Sy) / d
#and fill the requested information to be identified as a stack
self.info['SourceName'] = [filename]
self.info["SourceType"] = "SpecFileStack"
self.info["Size"] = 1, nMca, nchannels
self.info["NumberOfFiles"] = 1
self.info["FileIndex"] = 0
self.info["McaCalib"] = [zero, gain, 0.0]
self.info["Channel0"] = 0.0
[docs]def main():
import sys
filename = None
if len(sys.argv) > 1:
filename = sys.argv[1]
if filename is not None:
OpusDPTMap(filename)
else:
print("Please supply input filename")
if __name__ == "__main__":
main()