I have to solve the following solutions by loading wheatChessboard.py. Replot the wheat data in the cell below, but do so on a logarithmic scale. This can be done by calling plt.semilogy() after you make the same plot as above, to make the y-axis logarithmic, leaving the x-axis linear. A plot like this, with one axis linear and one axis logarithmic, is called a "semilog plot". There is a function named plt.semilogy for making the y-axis logarithmic, and one named plt.semilogx for making the x-axis logarithmic. If you wanted to make both axes logarithmic (sometimes referred to as a "log-log plot"), you could call the function plt.loglog. (Alternatively, instead of using the plotting functions to represent logarithmic data, you could compute directly the logarithm of the wheat data and plot it on a linear scale, by transforming it using an appropriate function in numpy np, e.g., np.log2 or np.log10.)