def probplot(self, xlabel=None, ylabel=None, line=None,
                 exceed=False, ax=None, **plotkwargs):
        if exceed:
            fig, ax = _do_plot(self.theoretical_quantiles[::-1],
                               self.sorted_data,
                               self.dist, ax=ax, line=line,
                               **plotkwargs)
            if xlabel is None:
                xlabel = 'Probability of Exceedance (%)'

        else:
            fig, ax = _do_plot(self.theoretical_quantiles,
                               self.sorted_data,
                               self.dist, ax=ax, line=line,
                               **plotkwargs)
            if xlabel is None:
                xlabel = 'Non-exceedance Probability (%)'

        if ylabel is None:
            ylabel = "Sample Quantiles"

        ax.set_xlabel(xlabel)
        ax.set_ylabel(ylabel)
        _fmt_probplot_axis(ax, self.dist, self.nobs)

        return fig
Probability plot of the unscaled quantiles of x versus the
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/graphics/gofplots.py/ProbPlot.probplot