/usr/lib/python2.7/dist-packages/PyMca/PyMcaPlugins/StackNormalizationPlugin.py is in pymca 4.7.4+dfsg-1.
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# Copyright (C) 2012 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# This file is free software; you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation; either version 2 of the License, or (at your option)
# any later version.
#
# This file is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
# details.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
"""
A Stack plugin is a module that will be automatically added to the PyMca stack windows
in order to perform user defined operations on the data stack.
These plugins will be compatible with any stack window that provides the functions:
#data related
getStackDataObject
getStackData
getStackInfo
setStack
#images related
addImage
removeImage
replaceImage
#mask related
setSelectionMask
getSelectionMask
#displayed curves
getActiveCurve
getGraphXLimits
getGraphYLimits
#information method
stackUpdated
selectionMaskUpdated
"""
import numpy
try:
from PyMca import StackPluginBase
except ImportError:
from . import StackPluginBase
DEBUG = 0
class StackNormalizationPlugin(StackPluginBase.StackPluginBase):
def __init__(self, stackWindow, **kw):
StackPluginBase.DEBUG = DEBUG
StackPluginBase.StackPluginBase.__init__(self, stackWindow, **kw)
self.methodDict = {}
text = "Stack/I0 where I0 is the active curve\n"
function = self.divideByCurve
info = text
icon = None
self.methodDict["I/I0 Normalization"] =[function,
info,
icon]
text = "-log(Stack/I0) Normalization where I0 is the active curve\n"
function = self.logNormalizeByCurve
info = text
icon = None
self.methodDict["-log(I/I0) Normalization"] =[function,
info,
icon]
self.__methodKeys = ["I/I0 Normalization",
"-log(I/I0) Normalization"]
#Methods implemented by the plugin
def getMethods(self):
return self.__methodKeys
def getMethodToolTip(self, name):
return self.methodDict[name][1]
def getMethodPixmap(self, name):
return self.methodDict[name][2]
def applyMethod(self, name):
return self.methodDict[name][0]()
def divideByCurve(self):
stack = self.getStackDataObject()
if not isinstance(stack.data, numpy.ndarray):
text = "This method does not work with dynamically loaded stacks"
raise TypeError(text)
curve = self.getActiveCurve()
if curve is None:
text = "Please make sure to have an active curve"
raise TypeError(text)
x, y, legend, info = self.getActiveCurve()
yWork = y[y!=0].astype(numpy.float)
mcaIndex = stack.info.get('McaIndex', -1)
if mcaIndex in [-1, 2]:
for i, value in enumerate(yWork):
stack.data[:, :, i] = stack.data[:,:,i]/value
elif mcaIndex == 0:
for i, value in enumerate(yWork):
stack.data[i, :, :] = stack.data[i,:,:]/value
elif mcaIndex == 1:
for i, value in enumerate(yWork):
stack.data[:, i, :] = stack.data[:,i,:]/value
else:
raise ValueError("Invalid 1D index %d" % mcaIndex)
self.setStack(stack)
def logNormalizeByCurve(self):
stack = self.getStackDataObject()
if not isinstance(stack.data, numpy.ndarray):
text = "This method does not work with dynamically loaded stacks"
raise TypeError(text)
curve = self.getActiveCurve()
if curve is None:
text = "Please make sure to have an active curve"
raise TypeError(text)
x, y, legend, info = self.getActiveCurve()
yWork = y[y>0]
mcaIndex = stack.info.get('McaIndex', -1)
if mcaIndex in [-1, 2]:
for i, value in enumerate(yWork):
stack.data[:, :, i] = -numpy.log(stack.data[:,:,i]/value)
elif mcaIndex == 0:
for i, value in enumerate(yWork):
stack.data[i, :, :] = -numpy.log(stack.data[i,:,:]/value)
elif mcaIndex == 1:
for i, value in enumerate(yWork):
stack.data[:, i, :] = -numpy.log(stack.data[:,i,:]/value)
else:
raise ValueError("Invalid 1D index %d" % mcaIndex)
self.setStack(stack)
MENU_TEXT = "Stack Normalization"
def getStackPluginInstance(stackWindow, **kw):
ob = StackNormalizationPlugin(stackWindow)
return ob
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