Logarithmic Scaling for Matplotlib's Bar3d

Question

How do I apply logarithmic or negative logarithmic scaling to this 3D BarPlot?

fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')

Percentage_Differences_1 = np.array([ [7.94*(10**-10),7.94*(10**-9),7.94*(10**-8),7.94*(10**-7),7.94*(10**-6),7.94*(10**-5)],
                                [7.92*(10**-12),7.92*(10**-11),7.92*(10**-10),7.92*(10**-9),7.92*(10**-8),7.92*(10**-7)],
                                [7.72*(10**-14),7.72*(10**-13),7.72*(10**-12),7.72*(10**-11),7.72*(10**-10),7.72*(10**-9)],
                                [5.66*(10**-16),5.66*(10**-15),5.66*(10**-14),5.66*(10**-13),5.66*(10**-12),5.66*(10**-11)],
                                [1.49*(10**-17),1.49*(10**-16),1.49*(10**-15),1.49*(10**-14),1.49*(10**-13),1.49*(10**-12)],
                                [2.21*(10**-18),2.21*(10**-17),2.21*(10**-16),2.21*(10**-15),2.21*(10**-14),2.21*(10**-13)] ])

width = depth = 0.5

for x in range(1,6):
    for y in range(1,6):
        ax1.bar3d(x, y, 0, width, depth, Percentage_Differences_1[x][y])

plt.show()

If the plot can be done easier in Seaborn, Bokeh, and PlotLy then that would also be great.