Calculating gradient with NumPy

Question

I really can not understand what numpy.gradient function does and how to use it for computation of multivariable function gradient.

For example

Answer 1

You could use scipy.optimize.approx_fprime

f = lambda x: x**2
approx_fprime(np.array([2]), f, epsilon=1e-6)  # array([ 4.000001])