1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129
|
#!/usr/bin/env python
#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2014 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.
#
#############################################################################*/
__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
from PyMca5.PyMcaIO import SpecFileAbstractClass
class Fit2DChiFileParser(SpecFileAbstractClass.SpecFileAbstractClass):
def __init__(self, filename):
SpecFileAbstractClass.SpecFileAbstractClass.__init__(self, filename)
if not os.path.exists(filename):
raise IOError("File %s does not exists" % filename)
f = open(filename, 'r')
self.__buffer = f.read()
f.close()
self.__buffer=self.__buffer.replace("\r", "\n")
self.__buffer=self.__buffer.replace("\n\n", "\n")
self.__buffer = self.__buffer.split("\n")
header = [self.__buffer[0]]
a = self.__buffer[0].split(":")
command = a[-1]
labels = []
npoints = 0
self.__currentLine = 1
lenBuffer = len(self.__buffer)
while (npoints == 0) and (self.__currentLine < lenBuffer):
line = self.__buffer[self.__currentLine]
self.__currentLine += 1
header.append(line)
try:
npoints = int(line)
except:
labels.append(line)
pass
if len(labels[-1]) == 0:
labels[-1] = "Intensity"
if npoints == 0:
raise IOError("Problem reading file. Number of points is 0.")
data = numpy.zeros((npoints, len(labels)), numpy.float32)
for i in range(npoints):
if self.__currentLine < lenBuffer:
line = self.__buffer[self.__currentLine]
try:
data[i,:] = [float(x) for x in line.split()]
except ValueError:
if i == 0:
values = [float(x) for x in line.split()]
nActualValues = len(values)
if nActualValues < len(labels):
labels = labels[-nActualValues:]
data = numpy.zeros((npoints, len(labels)),
numpy.float32)
data[i,:] = values
self.__currentLine += 1
continue
raise
self.__currentLine += 1
scanheader = ['#S 1 ' + command]
self.scandata = [SpecFileAbstractClass.SpecFileAbstractScan(data,
scantype="SCAN",
identification="1.1",
labels=labels,
scanheader=scanheader)]
x0 = data[0, 0]
x1 = data[-1,0]
delta = (x1-x0)/npoints
data = data[:,1]
scanheader = ['#S 2 ' + command]
scanheader.append("#@CALIB %f %f 0" % (x0, delta))
self.scandata.append(SpecFileAbstractClass.SpecFileAbstractScan(data,
scantype="MCA",
identification="2.1",
scanheader=scanheader))
def list(self):
#We have two "scans"
return "1:2"
def isFit2DChiFile(filename):
#Obviously I should put a better test than this one
if not filename.upper().endswith(".CHI"):
return False
return True
def test(filename):
if isFit2DChiFile(filename):
sf=Fit2DChiFileParser(filename)
else:
print("Not a Fit2D .Chi File")
print(sf[0].alllabels())
print(dir(sf[0]))
if __name__ == "__main__":
test(sys.argv[1])
|