i1 = elist.index(e1)
            i2 = elist.index(e2)
            a1 = np.array([y[i1*2] for y in plain_data])
            a2 = np.array([y[i2*2] for y in plain_data])
            b1 = np.array([y[i1*2+1] for y in plain_data])
            b2 = np.array([y[i2*2+1] for y in plain_data])

            # Fill possible taker trades
            fac = 1.002**2
            plt.fill_between(x_data, a1*fac, b2, where=(a1*fac)<=b2, facecolor=cmap[i1], hatch='*'*2, edgecolor=cmap[i1], step='mid', alpha=.2)
            plt.fill_between(x_data, a2*fac, b1, where=(a2*fac)<=b1, facecolor=cmap[i2], hatch='*'*2, edgecolor=cmap[i2], step='mid', alpha=.2)

            fac = 0.998*0.999
            # Fill possible maker trades on asks
            plt.fill_between(x_data, a1, a2*fac, where=a1<=(a2*fac), facecolor=cmap[i1], hatch='\\'*4, edgecolor=cmap[i1], step='mid', alpha=.1)
            plt.fill_between(x_data, a1*fac, a2, where=a2<=(a1*fac), facecolor=cmap[i2], hatch='\\'*4, edgecolor=cmap[i2], step='mid', alpha=.1)

            # # Fill possible maker trades on bids
            plt.fill_between(x_data, b1/fac, b2, where=b1<=(b2*fac), facecolor=cmap[i2], hatch='/'*4, edgecolor=cmap[i2], step='mid', alpha=.1)
            plt.fill_between(x_data, b1, b2/fac, where=b2<=(b1*fac), facecolor=cmap[i1], hatch='/'*4, edgecolor=cmap[i1], step='mid', alpha=.1)