def plot_2d(self, X, labels=None, s=20, marker='o',
                dimensions=(0, 1), ax=None, colors=None,
                fignum=None, cmap=None, # @UndefinedVariable
                ** kwargs):
        """
        Plot dimensions `dimensions` with given labels against each other in
        PC space. Labels can be any sequence of labels of dimensions X.shape[0].
        Labels can be drawn with a subsequent call to legend()
        """
        if cmap is None:
            cmap = matplotlib.cm.jet
        if ax is None:
            fig = pylab.figure(fignum)
            ax = fig.add_subplot(111)
        if labels is None:
            labels = numpy.zeros(X.shape[0])
        ulabels = []
        for lab in labels:
            if not lab in ulabels:
                ulabels.append(lab)
        nlabels = len(ulabels)
        if colors is None:
            colors = iter([cmap(float(i) / nlabels) for i in range(nlabels)])
        else:
            colors = iter(colors)
        X_ = self.project(X, self.Q)[:,dimensions]
        kwargs.update(dict(s=s))
        plots = list()
        for i, l in enumerate(ulabels):
            kwargs.update(dict(color=colors.next(), marker=marker[i % len(marker)]))
            plots.append(ax.scatter(*X_[labels == l, :].T, label=str(l), **kwargs))
        ax.set_xlabel(r"PC$_1$")
        ax.set_ylabel(r"PC$_2$")
        try:
            pylab.tight_layout()
        except:
            pass
        return plots
dataset/ETHPy150Open SheffieldML/GPy/GPy/util/pca.py/PCA.plot_2d/original