Called from the fit method, this method creates the canvas and
        draws the part-of-speech tag mapping as a bar chart.

        Parameters
        ----------
        kwargs: dict
            generic keyword arguments.

        Returns
        -------
        ax : matplotlib axes
            Axes on which the PosTagVisualizer was drawn.

def draw(self, **kwargs):
        """
        Called from the fit method, this method creates the canvas and
        draws the part-of-speech tag mapping as a bar chart.

        Parameters
        ----------
        kwargs: dict
            generic keyword arguments.

        Returns
        -------
        ax : matplotlib axes
            Axes on which the PosTagVisualizer was drawn.
        """
        colors = resolve_colors(
            n_colors=len(self.pos_tag_counts_),
            colormap=self.colormap,
            colors=self.colors,
        )

        if self.frequency:
            # Sort tags with respect to frequency in corpus
            sorted_tags = sorted(
                self.pos_tag_counts_, key=self.pos_tag_counts_.get, reverse=True
            )
            sorted_counts = [self.pos_tag_counts_[tag] for tag in sorted_tags]

            self.ax.bar(range(len(sorted_tags)), sorted_counts, color=colors)
            return self.ax

        self.ax.bar(
            range(len(self.pos_tag_counts_)),
            list(self.pos_tag_counts_.values()),
            color=colors,
        )
        return self.ax