It is possible to integrate a function that takes several parameters with quad in python, example of syntax for a function f that takes two arguments: arg1 and arg2:
quad( f, x_min, x_max, args=(arg1,arg2,))
Example of code using quad with a function that takes multiple arguments:

from scipy.integrate import quadimport matplotlib.pyplot as pltimport scipy.statsimport numpy as npdef normal_distribution_function(x,mean,std):value = scipy.stats.norm.pdf(x,mean,std)return valuex_min = 0.0x_max = 30.0mean = 15.0std = 4.0ptx = np.linspace(x_min, x_max, 100)pty = scipy.stats.norm.pdf(ptx,mean,std)plt.plot(ptx,pty, color='gray')plt.fill_between(ptx, pty, color='#e1b1b4', alpha='1.0')plt.grid()plt.title('How to integrate a function that takes parameteres in python ?', fontsize=10)plt.xlabel('x', fontsize=8)plt.ylabel('Probability Density Function', fontsize=8)res, err = quad(normal_distribution_function, x_min, x_max, args=(mean,std,))print(res)plt.savefig("integrate_function_takes_parameters.png")plt.show()
References
| Links | Site |
|---|---|
| How to evaluate single integrals of multivariate functions with Python's scipy.integrate.quad? | stackoverflow |
| quad | doc scipy |
