Python Analysis

uncertainty = numpy.empty(len(vol_data)) uncertainty.fill(20.) #do the fit fit_parameters,fit_covariance = scipy.optimize.curve_fit(linearFit,temp_data,vol_data,p0=(1.0,8.0),sigma=uncertainty) #now generate the line of the best fit #set up the temperature points for the full array fit_temp = numpy.arange(270,355,5) #make the data for the best fit values fit_answer = linearFit(fit_temp,*fit ... ................
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