def make_plot2(possible_types, type_dist, type_dist_disc, plot_title, filename): bidder = MenezesMonteiroBidder(0, num_rounds, num_bidders, possible_types, type_dist, type_dist_disc) bids = [0] * len(possible_types) * len(possible_types) vals = [0] * len(possible_types) * len(possible_types) marginal_vals = [0] * len(possible_types) * len(possible_types) c = 0 for idx1, val in enumerate(possible_types): for idx2, mval in enumerate(possible_types): bidder.valuations[0] = val bidder.valuations[1] = mval vals[c] = val marginal_vals[c] = mval bids[c] = bidder.place_bid(1) c += 1 vals = np.array(vals) marginal_vals = np.array(marginal_vals) bids = np.array(bids) fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot_trisurf(vals, marginal_vals, bids, cmap=cm.jet) ax.set_xlabel('Valuation') ax.set_ylabel('Marginal Valuation') ax.set_zlabel('Bid') el_angle = 20 az_angle = -135 ax.view_init(el_angle, az_angle) plt.savefig(filename) plt.show()
def make_plot(possible_types, type_dist, type_dist_disc, plot_title, filename): bidder = MenezesMonteiroBidder(0, num_rounds, num_bidders, possible_types, type_dist, type_dist_disc) bids = [0] * len(possible_types) for idx, val in enumerate(possible_types): bidder.valuations[0] = val bidder.valuations[1] = val + .01 bids[idx] = bidder.place_bid(1) # Make a plot of the results plt.figure() plt.plot(possible_types, bids) plt.xlabel('Valuation') plt.ylabel('Bid') plt.title(plot_title) # Save the output to a file, then show plt.savefig(filename) plt.show()