[proFit-list] Repetitive fit using pro Fit 6.2.2

[Scott Lasley]

It appears that the fit still uses columns 1 and 2 even after setting xColumn=2 and yColumn=3 in pf.FitSetExperiment. the line print fitObj in the code below shows xColumn = 2 and yColumn = 3, but if column 1 is empty the call to pf.FitExecute fails with the error   "Python exception: Empty columns cannot be used".  If column 1 contains the x data, column 2 contains the y data and column 3 is empty the fit works (after holding A constant in the Parameters window) even though xColumn=2 and yColumn=3 in pf.FitSetExperiment



fitObj = pf.FitCreate(function = 'Exp')
pf.FitSetArguments(fitObject = fitObj, algorithm = pf.robust, printResults = True, \
                   onlyActiveParameters = False, fullDescription = True)
pf.FitSetExperiment(fitObject = fitObj, window =  pf.GetCurrentWindow(pf.dataType), \
                    xColumn = 2, yColumn = 3 )
print fitObj
fitResultObj = pf.FitExecute(fitObject = fitObj)
n = pf.FitResult(fitResultObject = fitResultObj, result = pf.nrFittedParameters)
print 'Number of parameters fitted:', n 
pf.FitResultDispose(fitResultObject = fitResultObj)
pf.FitDispose(fitObject = fitObj)
----
column 1 empty, column 2 x, column 3 y

function               : Exp
algorithm              : robust
guessInitialParameters : True
stopIfError            : True
doErrorAnalysis        : False
iterations             : 500
confidence             : 68.3
printResults           : True
onlyActiveParameters   : False
fullDescription        : True
autoSearch             : True
stopCounter            : 0
localParameters        : -1

experiment               : 1
1 - window               : test.data
1 - selectedRowsOnly     : False
1 - input                : 0
1 - xColumn              : 2
1 - xErrorKind           : zeroError
1 - xErrorColumn         : 0
1 - xError               : 1
1 - xErrorDistribution   : gaussianDistribution
1 - output               : 0
1 - yColumn              : 3
1 - yErrorKind           : zeroError
1 - yErrorColumn         : 0
1 - yError               : 1
1 - yErrorDistribution   : gaussianDistribution
1 - localParameterValue  : 


Python exception: Empty columns cannot be used.
Traceback (most recent call last):
  File "Untitled Function 1", line 7, in <module>
----
same function, column 1 x, column 2 y, column 3 empty

function               : Exp
algorithm              : robust
guessInitialParameters : True
stopIfError            : True
doErrorAnalysis        : False
iterations             : 500
confidence             : 68.3
printResults           : True
onlyActiveParameters   : False
fullDescription        : True
autoSearch             : True
stopCounter            : 0
localParameters        : -1

experiment               : 1
1 - window               : test.data
1 - selectedRowsOnly     : False
1 - input                : 0
1 - xColumn              : 2
1 - xErrorKind           : zeroError
1 - xErrorColumn         : 0
1 - xError               : 1
1 - xErrorDistribution   : gaussianDistribution
1 - output               : 0
1 - yColumn              : 3
1 - yErrorKind           : zeroError
1 - yErrorColumn         : 0
1 - yError               : 1
1 - yErrorDistribution   : gaussianDistribution
1 - localParameterValue  : 


===========================================
Fit Algorithm:	Robust

Function  :	Exp
 Descr 1  :	y = A * exp(-(x-x0)/t0)  + const
 Descr 2  :	exponential function

Data      :	test.data

output    :	y
 y  column:	Column 2
 ∆y value :	0.0
 ∆y distr.:	Gaussian

input     :	x
 x  column:	Column 1
 ∆x value :	0.0
 ∆x distr.:	Gaussian


Iterations:	390
-------------------------------------------
Chi squared       	=	1.68866816e-33

Parameters:
A    	=	 1.00000000
x0   	=	 2.00000000
t0   	=	30.00000000
const	=	 2.10254858e-17

Number of parameters fitted: 4.0