ValueError: could not convert string to float 'weibullTAFC' - string

Question

I am a beginner with coding.I am try to call the function fitData on another script (main code).
I called the function fitData with this sintax, at the end of the script:
# If the experiments stops before a default response is inserted
stairs.addResponse(0)
stairs.saveAsExcel(outputfile)
df.to_excel(outputfile + '_trials_summary.xlsx')
win.close()
raise
#analyzeStaircases(stairs, stairInfo['AverageReversals'])
fitData(stairs, 75)
################################
# The experiment starts here #
###############################
if __name__ == "__main__":
startExperiment()
fitData code
from psychopy import data
import pylab
from numpy import average,std
def fitData(stairs,percent):
allIntensities, allResponses = [],[]
for s in stairs.staircases:
allIntensities.append( s.intensities )
allResponses.append( s.data )
for s in stairs.staircases:
print ("Mean for condition"),s.condition['label'],"=",average(s.reversalIntensities),"std=",std(s.reversalIntensities)
#plot each condition
pylab.subplot(221)
#for stairNumber, thisStair in enumerate(allIntensities):
pylab.plot(allIntensities[0], 'o-', label=stairs.staircases[0].condition['label'] )
pylab.xlabel('Trials')
pylab.ylabel('Speed [cm/s]')
pylab.legend()
# Get combined data
combinedInten, combinedResp, combinedN = data.functionFromStaircase(allIntensities, allResponses, 10)
# Fit curve - in this case using a Weibull function
fit = data.FitWeibull('weibullTAFC',combinedInten, combinedResp, guess=None)
#fit = data.FitCumNormal(combinedInten,combinedResp)
intensitiesDomainInterp = pylab.arange(min(allIntensities[0]), max(allIntensities[0]), 0.01)
smoothResponses = fit.eval(intensitiesDomainInterp)
thresh = fit.inverse(percent)
#Plot fitted curve
pylab.subplot(222)
pylab.axis(xmin=min(allIntensities[0]),xmax=max(allIntensities[0]))
pylab.xlabel('Speed [cm/s]')
pylab.ylabel('Probability')
pylab.plot(intensitiesDomainInterp, smoothResponses, '-')
pylab.plot([thresh, thresh],[0,percent],'--')
pylab.plot([0, thresh],[percent,percent],'--')
pylab.title('Threshold at ' + str(percent) + '= %0.3f' % (thresh) )
# Plot points
pylab.plot(combinedInten, combinedResp, 'o')
pylab.ylim([0,1])
# SECOND CONDITION, the plots are in a second row, under
pylab.subplot(223)
#for stairNumber, thisStair in enumerate(allIntensities):
pylab.plot(allIntensities[1], 'o-', label=stairs.staircases[1].condition['label'] )
pylab.xlabel('Trials')
pylab.ylabel('Speed [cm/s]')
pylab.legend()
# Get combined data
combinedInten, combinedResp, combinedN = data.functionFromStaircase(allIntensities[1], allResponses[1], 10)
#fit curve - in this case using a Weibull function
#fit = data.FitFunction('weibullTAFC',combinedInten, combinedResp, guess=None)
fit = data.FitCumNormal(combinedInten,combinedResp)
intensitiesDomainInterp = pylab.arange(min(allIntensities[1]), max(allIntensities[1]), 0.01)
smoothResponses = fit.eval(intensitiesDomainInterp)
thresh = fit.inverse(percent)
#print "Threshold at " + str(percent) +"% with Cumulative Normal= ",thresh
#Plot fitted curve
pylab.subplot(224)
pylab.axis(xmin=min(allIntensities[1]),xmax=max(allIntensities[1]))
pylab.xlabel('Speed [cm/s]')
pylab.ylabel('Probability')
pylab.plot(intensitiesDomainInterp, smoothResponses, '-')
pylab.plot([thresh, thresh],[0,percent],'--')
pylab.plot([0, thresh],[percent,percent],'--')
pylab.title('Threshold at ' + str(percent) + '= %0.3f' % (thresh) )
# Plot points
pylab.plot(combinedInten, combinedResp, 'o')
pylab.ylim([0,1])
pylab.show()
When I call the function fitData on the main code I get this output errore:
Traceback (most recent call last):
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\trackingExperiment2Staircase - py3 - FITDATA.py", line 627, in <module>
startExperiment()
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\trackingExperiment2Staircase - py3 - FITDATA.py", line 621, in startExperiment
fitData(stairs, 75)
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\common\fitData.py", line 39, in fitData
fit = data.FitWeibull('weibullTAFC',combinedInten, combinedResp, guess=None, display=1, expectedMin=0.5, optimize_kws=None)
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\venv\lib\site-packages\psychopy\data\fit.py", line 36, in __init__
self._doFit()
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\venv\lib\site-packages\psychopy\data\fit.py", line 55, in _doFit
self.params, self.covar = optimize.curve_fit(
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\venv\lib\site-packages\scipy\optimize\_minpack_py.py", line 743, in curve_fit
xdata = np.asarray_chkfinite(xdata, float)
File "C:\Users\OneDrive\Desktop\py2convers\psychoflicker-master\src\venv\lib\site-packages\numpy\lib\function_base.py", line 601, in asarray_chkfinite
a = asarray(a, dtype=dtype, order=order)
ValueError: could not convert string to float: 'weibullTAFC'
Could you give me some suggestion on how can I fix this error?
Also I am not sure that the arguments of the function fitData on the main script are correct.