def annotate_axes(self, ax):
        if self.orient == "v":
            xlabel, ylabel = self.group_label, self.value_label
        else:
            xlabel, ylabel = self.value_label, self.group_label

        if xlabel is not None:
            ax.set_xlabel(xlabel)
        if ylabel is not None:
            ax.set_ylabel(ylabel)

        if self.orient == "v":
            ax.set_xticks(np.arange(len(self.plot_data)))
            ax.set_xticklabels(self.group_names)
        else:
            ax.set_yticks(np.arange(len(self.plot_data)))
            ax.set_yticklabels(self.group_names)

        if self.orient == "v":
            ax.xaxis.grid(False)
            ax.set_xlim(-.5, len(self.plot_data) - .5)
        else:
            ax.yaxis.grid(False)
            ax.set_ylim(-.5, len(self.plot_data) - .5)

        if self.hue_names is not None:
            leg = ax.legend(loc="best")
            if self.hue_title is not None:
                leg.set_title(self.hue_title)

                # Set the title size a roundabout way to maintain
                # compatability with matplotlib 1.1
                try:
                    title_size = mpl.rcParams["axes.labelsize"] * .85
                except TypeError:  # labelsize is something like "large"
                    title_size = mpl.rcParams["axes.labelsize"]
                prop = mpl.font_manager.FontProperties(size=title_size)
                leg._legend_title_box._text.set_font_properties(prop)
Parses a yaml model configuration file
dataset/ETHPy150Open mwaskom/seaborn/seaborn/categorical.py/_CategoricalPlotter.annotate_axes--crossover with--dataset/ETHPy150Open fchollet/keras/keras/models.py/model_from_yaml