curve_fit_func.py

#Get the highest value of production in the first three months of production, to use as qi value
qi=get_max_initial_production(production_time_series, 3, desired_product_type, 'ReportDate')
#Exponential curve fit the data to get best fit equation
popt_exp, pcov_exp=curve_fit(exponential_equation, production_time_series['Days_Online'], 
                             production_time_series[desired_product_type],
                             bounds=(0, [qi,20]))
print('Exponential Fit Curve-fitted Variables: qi='+str(popt_exp[0])+
      ', di='+str(popt_exp[1]))
#Hyperbolic curve fit the data to get best fit equation
popt_hyp, pcov_hyp=curve_fit(hyperbolic_equation, production_time_series['Days_Online'], 
                             production_time_series[desired_product_type],
                             bounds=(0, [qi,2,20]))
print('Hyperbolic Fit Curve-fitted Variables: qi='+str(popt_hyp[0])+
      ', b='+str(popt_hyp[1])+', di='+str(popt_hyp[2]))