How to use SciPy to curve fit in Python || Python for Engineers

Curve fitting in Python is accomplished using Scipy.optimize.curve_fit. Curve_fit requires the user to define a function for the general form of the fit. If a linear fit is desired, define a linear equation in your function of choice. For quadratic fits, define a quadratic equation. The idea is that Python will optimize the iterative process of fitting the function&variables. The constants are then indexed using constants[0][i], where i is the ith value of the constant. The list constants[0] contains all the constants, so each constant must be indexed individually afterwards. Packages required: Matplotlib Scipy Numpy