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()
