show fit on plot python
# Import curve fitting package from scipy from scipy.optimize import curve_fit # Function to calculate the exponential with constants a and b def exponential(x, a, b): return a*np.exp(b*x) # Generate dummy dataset x_dummy = np.linspace(start=5, stop=15, num=50) # Calculate y-values based on dummy x-values y_dummy = exponential(x_dummy, 0.5, 0.5) # Plot the noisy exponential data ax.scatter(x_dummy, y_dummy, s=20, color='#00b3b3', label='Data') # Fit the dummy exponential data pars, cov = curve_fit(f=exponential, xdata=x_dummy, ydata=y_dummy, p0=[0, 0], bounds=(-np.inf, np.inf)) # Plot the fit data as an overlay on the scatter data ax.plot(x_dummy, exponential(x_dummy, *pars), linestyle='--', linewidth=2, color='black')
