Significant digits incorrect for non-power of 10 tick sizes (eg 0.25)

I have a data series where the ‘tick’ size is 0.25. This is properly captured by ax.significant_eps, but the value of ax.significant_decimals is 1. The simplest possible test case:

>>> def difftodecimals(smallest_diff):
...     s = '%.0e' % smallest_diff
...     exp = -int(s.partition('e')[2])
...     decimals = max(1, min(10, exp))
...     return decimals
... 
>>> difftodecimals(0.25)
1
>>> difftodecimals(0.025)
2

It seems that this function only cares about the first significant value when calculating total significant digits. I did not want to fix as I’m assuming there are other use cases outside of mine where the current function is behaving correctly.

[highfestiva]

Is this a close?

[sparkstartconsulting]

Awesome–thanks. Looks like it will work very well