![]() ![]() ![]() Graph your original data and the fit equation.įirst, import the relevant python modules that will be used.Use your function to calculate y values using your fit model to see how well your model fits the data.Extract the fit parameters from the output of curve_fit.Use the function curve_fit to fit your data.The function should accept as inputs the independent variable(s) and all the parameters to be fit. Create a function for the equation you want to fit.You might read this data in from another source, like a CSV file. Create a list of numpy array of your depedent variables (your y values).Create a list or numpy array of your independent variable (your x values).Import the curve_fit function from scipy.You can also calculate the standard error for any parameter in a functional fit. You are no longer limited to the simple linear or polynominal functions you could fit in a spreadsheet program. Python is a power tool for fitting data to any functional form. Use curve_fit from scipy to fit data to a specified functional form.
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