Draws the points described by X and colored by the points in y. Can be
        called multiple times before finalize to add more scatter plots to the
        axes, however ``fit()`` must be called before use.

        Parameters
        ----------
        X : array-like of shape (n, 2)
            The matrix produced by the ``transform()`` method.

        y : array-like of shape (n,), optional
            The target, used to specify the colors of the points.

        Returns
        -------
        self.ax : matplotlib Axes object
            Returns the axes that the scatter plot was drawn on.

def draw(self, X, y=None):
        """
        Draws the points described by X and colored by the points in y. Can be
        called multiple times before finalize to add more scatter plots to the
        axes, however ``fit()`` must be called before use.

        Parameters
        ----------
        X : array-like of shape (n, 2)
            The matrix produced by the ``transform()`` method.

        y : array-like of shape (n,), optional
            The target, used to specify the colors of the points.

        Returns
        -------
        self.ax : matplotlib Axes object
            Returns the axes that the scatter plot was drawn on.
        """
        scatter_kwargs = {"alpha": self.alpha}

        # Determine the colors
        if self._target_color_type == SINGLE:
            scatter_kwargs["c"] = "b"

        elif self._target_color_type == DISCRETE:
            if y is None:
                raise YellowbrickValueError("y is required for discrete target")

            scatter_kwargs["c"] = [
                self._colors[np.searchsorted(self.classes_, (yi))] for yi in y
            ]

        elif self._target_color_type == CONTINUOUS:
            if y is None:
                raise YellowbrickValueError("y is required for continuous target")

            # TODO manually make colorbar so we can draw it in finalize
            scatter_kwargs["c"] = y
            scatter_kwargs["cmap"] = self.colors or palettes.DEFAULT_SEQUENCE

        else:
            # Technically this should never be raised
            raise NotFitted("could not determine target color type")

        # Draw the scatter plot with the associated colors and alpha
        self._scatter = self.ax.scatter(X[:,0], X[:,1], **scatter_kwargs)
        return self.ax