Java Number Cruncher: The Java Programmer’s Guide to Numerical Computing provides a solution using Newton’s Method. Source code from the book is available here. The following has been taken from chapter 12.5 Big Decimal Functions (p330 & p331): /** * Compute the natural logarithm of x to a given scale, x > 0. */ public … Read more
import matplotlib from matplotlib import pyplot as plt fig1, ax1 = plt.subplots() ax1.plot([10, 100, 1000], [1,2,3]) ax1.set_xscale(‘log’) ax1.set_xticks([20, 200, 500]) ax1.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter()) or ax1.get_xaxis().get_major_formatter().labelOnlyBase = False plt.show()
You can use the Axes.set_yscale method. That allows you to change the scale after the Axes object is created. That would also allow you to build a control to let the user pick the scale if you needed to. The relevant line to add is: ax.set_yscale(‘log’) You can use ‘linear’ to switch back to a … Read more
I’ve came with a solution. It gets an approximation of the spending factor because there is no direct formula. Getting the exact spending factor is too CPU intensive. So, I’m calculating a near approximation first. This value will always be above the solution. I then decrease that number until I’m getting below the total paid … Read more
To: x = index % 3; y = index / 3 % 3; z = index / 9; Back: index = ((z) * 3 + y) * 3 + x;