Using scipy.optimize.curve_fit for Parameter Estimation

Overview

scipy.optimize.curve_fit is a tool for fitting models to experimental data using nonlinear least squares optimization.

Basic Usage

from scipy.optimize import curve_fit
import numpy as np

# Define your model function
def model(x, param1, param2):
    return param1 * (1 - np.exp(-x / param2))

# Fit to data
popt, pcov = curve_fit(model, x_data, y_data)