#!/usr/bin/env python #/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ from __future__ import with_statement __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ This module reads Renishaw Raman MAP measurements exported as .txt file. The native .wxd file has to be converted to .txt using Renishaw tools. The output ASCII file has no headers. It contains several columns, their meaning being different according to the type of data. Some possibilities: columns wavelength value z wavelength value time wavelength value y x wavelength value Of all the previous possibilities, this module only supports the last one. """ import os import sys import re import numpy from PyMca5.PyMcaCore import DataObject SOURCE_TYPE = "EdfFileStack" class RenishawMap(DataObject.DataObject): def __init__(self, filename, infofile=None): DataObject.DataObject.__init__(self) # allocate buffers greater than any spected number of channels x = numpy.zeros((10000,), numpy.float32) y = numpy.zeros((10000,), numpy.float32) wl = numpy.zeros((10000,), numpy.float32) data = numpy.zeros((10000,), numpy.float32) #import time #t0 = time.time() with open(filename, 'r') as f: nChannels = 0 for line in f: # read the first line y[nChannels], x[nChannels], wl[nChannels], data[nChannels] = \ [float(value) for value in line.split("\t")] if nChannels == 0: firstChannel = wl[0] elif wl[nChannels] == firstChannel: break nChannels += 1 if y[0] == y[nChannels]: firstChangesFirst = False else: firstChangesFirst = True nLines = nChannels + 1 + sum([1 for l in f]) #print("ELAPSED 0 = ", time.time() - t0) if nLines % nChannels: raise IOError("Not a regular Renishaw map or a not a complete file") nSpectra = int(nLines / nChannels) #print("N Channels = %d" % nChannels) #print("N Lines = %d" % nLines) #print("N Spectra = %f" % (nLines/nChannels)) rows = numpy.zeros((nSpectra,), numpy.float32) columns = numpy.zeros((nSpectra,), numpy.float32) wl = numpy.array(wl[:nChannels], dtype=numpy.float32) data = numpy.zeros((nSpectra, nChannels), numpy.float32) nRows = 0 nColumns = 0 #t0 = time.time() myFloat = numpy.float32 actualRows = [] actualColumns = [] indices = [None] * nSpectra with open(filename, 'r') as f: for i in range(nSpectra): for j in range(nChannels): line = f.readline() if firstChangesFirst: column, row, dummy1, dummy2 = \ [float(value) for value in line.split("\t")] else: row, column, dummy1, dummy2 = \ [float(value) for value in line.split("\t")] #positions.append((row, column, i)) if row not in actualRows: actualRows.append(row) if column not in actualColumns: actualColumns.append(column) indices[i] = (actualRows.index(row), actualColumns.index(column)) nRows = len(actualRows) nColumns = len(actualColumns) #positions.sort() data.shape = nRows, nColumns, nChannels with open(filename, 'r') as f: for i in range(nSpectra): row, column = indices[i] for j in range(nChannels): line = f.readline() d1, d2, d3, data[row, column, j] = \ [myFloat(value) for value in line.split("\t")] #print "nRows = ", nRows #print "nColumns= ", nColumns #print columns[::nColumns] #print rows[::nRows] #print "product = ", nRows * nColumns #print("ELAPSED tinal = ", time.time() - t0) # arrange as EDF stack self.sourceName = filename self.data = data self.info = {} 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"] = 1 self.info["NumberOfFiles"] = 1 self.info["FileIndex"] = 0 self.info["McaIndex"] = 2 self.info["McaCalib"] = [0.0, 1.0, 0.0] self.info["Channel0"] = 0.0 self.x = [wl] def isRenishawMapFile(filename): try: if filename.endswith(".txt"): with open(filename, 'r') as f: line = f.readline().split("\t") y, x, wl, data = [float(item) for item in line] return True except: # it is not a Renishaw map file pass return False if __name__ == "__main__": filename = None if len(sys.argv) > 1: filename = sys.argv[1] print("is Renishaw File?", isRenishawMapFile(filename)) instance = RenishawMap(filename) print(instance.info) print(instance.data.size)