Plot the principal coordinates.

def plot_coordinates(self, X, ax=None, figsize=(6, 6), x_component=0, y_component=1,
                                   show_row_labels=True, show_col_labels=True, **kwargs):
        """Plot the principal coordinates."""

        utils.validation.check_is_fitted(self, 's_')

        if ax is None:
            fig, ax = plt.subplots(figsize=figsize)

        # Add style
        ax = plot.stylize_axis(ax)

        # Get labels and names
        row_label, row_names, col_label, col_names = util.make_labels_and_names(X)

        # Plot row principal coordinates
        row_coords = self.row_coordinates(X)
        ax.scatter(
            row_coords[x_component],
            row_coords[y_component],
            **kwargs,
            label=row_label
        )

        # Plot column principal coordinates
        col_coords = self.column_coordinates(X)
        ax.scatter(
            col_coords[x_component],
            col_coords[y_component],
            **kwargs,
            label=col_label
        )

        # Add row labels
        if show_row_labels:
            x = row_coords[x_component]
            y = row_coords[y_component]
            for i, label in enumerate(row_names):
                ax.annotate(label, (x[i], y[i]))

        # Add column labels
        if show_col_labels:
            x = col_coords[x_component]
            y = col_coords[y_component]
            for i, label in enumerate(col_names):
                ax.annotate(label, (x[i], y[i]))

        # Legend
        ax.legend()

        # Text
        ax.set_title('Principal coordinates')
        ei = self.explained_inertia_
        ax.set_xlabel('Component {} ({:.2f}% inertia)'.format(x_component, 100 * ei[x_component]))
        ax.set_ylabel('Component {} ({:.2f}% inertia)'.format(y_component, 100 * ei[y_component]))

        return ax