4 down vote curve-fit is using leastsq for the calculation, so they should always give the same result. The miniscule difference you see there is probably a result of rounding error somewhere. calling leastsq directly should eliminate that. From the docs of curve_fit: The algorithm uses the Levenbe
4 down vote curve-fit is using leastsq for the calculation, so they should always give the same result. The miniscule difference you see there is probably a result of rounding error somewhere. calling leastsq directly should eliminate that. From the docs of curve_fit: The algorithm uses the Levenbe
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Difference between curve_fit and leastsq in python from scipy.optimize
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