def xminvsks(self, **kwargs):
pylab.plot(self._xmins,self._xmin_kstest,'<STR_LIT:.>')<EOL>pylab.plot(self._xmin,self._ks,'<STR_LIT:s>')<EOL>ax=pylab.gca()<EOL>ax.set_ylabel("<STR_LIT>")<EOL>ax.set_xlabel("<STR_LIT>")<EOL>pylab.draw()<EOL>return ax<EOL>
Plot xmin versus the ks value for derived alpha.  This plot can be used
as a diagnostic of whether you have derived the 'best' fit: if there are
multiple local minima, your data set may be well suited to a broken
powerlaw or a different function.