def most_likely_alpha(data, xmin, alpharange=(<NUM_LIT>,<NUM_LIT>), n_alpha=<NUM_LIT>):
alpha_vector = np.linspace(alpharange[<NUM_LIT:0>],alpharange[<NUM_LIT:1>],n_alpha)<EOL>return alpha_vector[discrete_max_likelihood_arg(data, xmin,<EOL>alpharange=alpharange,<EOL>n_alpha=n_alpha)]<EOL>
Return the most likely alpha for the data given an xmin