packages/vaex-core/vaex/dataframe.py
def plot3d(self, x, y, z, vx=None, vy=None, vz=None, vwhat=None, limits=None, grid=None, what="count(*)", shape=128, selection=[None, True], f=None,
               vcount_limits=None,
               smooth_pre=None, smooth_post=None, grid_limits=None, normalize="normalize", colormap="afmhot",
               figure_key=None, fig=None,
               lighting=True, level=[0.1, 0.5, 0.9], opacity=[0.01, 0.05, 0.1], level_width=0.1,
               show=True, **kwargs):
        """Use at own risk, requires ipyvolume"""
        import vaex.ext.ipyvolume
        # vaex.ext.ipyvolume.
        cls = vaex.ext.ipyvolume.PlotDefault
        plot3d = cls(df=self, x=x, y=y, z=z, vx=vx, vy=vy, vz=vz,
                     grid=grid, shape=shape, limits=limits, what=what,
                     f=f, figure_key=figure_key, fig=fig,
                     selection=selection, smooth_pre=smooth_pre, smooth_post=smooth_post,
                     grid_limits=grid_limits, vcount_limits=vcount_limits, normalize=normalize, colormap=colormap, **kwargs)
        if show:
            plot3d.show()
        return plot3d
def plot3d(self, x, y, z, vx=None, vy=None, vz=None, vwhat=None, limits=None, grid=None, what="count(*)", shape=128, selection=[None, True], f=None,
               vcount_limits=None,
               smooth_pre=None, smooth_post=None, grid_limits=None, normalize="normalize", colormap="afmhot",
               figure_key=None, fig=None,
               lighting=True, level=[0.1, 0.5, 0.9], opacity=[0.01, 0.05, 0.1], level_width=0.1,
               show=True, **kwargs):
        """Use at own risk, requires ipyvolume"""
        import vaex.ext.ipyvolume
        # vaex.ext.ipyvolume.
        cls = vaex.ext.ipyvolume.PlotDefault
        plot3d = cls(df=self, x=x, y=y, z=z, vx=vx, vy=vy, vz=vz,
                     grid=grid, shape=shape, limits=limits, what=what,
                     f=f, figure_key=figure_key, fig=fig,
                     selection=selection, smooth_pre=smooth_pre, smooth_post=smooth_post,
                     grid_limits=grid_limits, vcount_limits=vcount_limits, normalize=normalize, colormap=colormap, **kwargs)
        if show:
            plot3d.show()
        return plot3d
Use at own risk, requires ipyvolume