Exemplo n.º 1
0
    def add_scalar_field(self, geological_feature, **kwargs):
        """

        Parameters
        ----------
        geological_feature : GeologicalFeature
            the geological feature to colour the scalar field by
        kwargs
            kwargs for lavavu

        Returns
        -------

        """
        name = kwargs.get('name', geological_feature.name + '_scalar_field')
        points, tri = create_box(self.bounding_box, self.nsteps)

        surf = self.lv.triangles(name)
        surf.vertices(self.model.rescale(points))
        surf.indices(tri)
        val = geological_feature.evaluate_value(self.model.scale(points))
        surf.values(val, geological_feature.name)
        surf["colourby"] = geological_feature.name
        cmap = kwargs.get('cmap', lavavu.cubehelix(100))

        logger.info("Adding scalar field of %s to viewer. Min: %f, max: %f" %
                    (geological_feature.name, geological_feature.min(),
                     geological_feature.max()))
        vmin = kwargs.get('vmin', np.nanmin(val))
        vmax = kwargs.get('vmax', np.nanmax(val))
        surf.colourmap(cmap, range=(vmin, vmax))
Exemplo n.º 2
0
    def add_support_box(self, geological_feature, paint=False, **kwargs):
        name = kwargs.get('name', geological_feature.name + '_support')
        box = np.vstack([
            geological_feature.interpolator.support.origin,
            geological_feature.interpolator.support.maximum
        ])
        points, tri = create_box(box, self.nsteps)

        surf = self.lv.triangles(name)
        surf.vertices(self.model.rescale(points))
        surf.indices(tri)
        if paint:
            val = geological_feature.evaluate_value(self.model.scale(points))
            surf.values(val, geological_feature.name)
            surf["colourby"] = geological_feature.name
            cmap = kwargs.get('cmap', lavavu.cubehelix(100))

            logger.info(
                "Adding scalar field of %s to viewer. Min: %f, max: %f" %
                (geological_feature.name, geological_feature.min(),
                 geological_feature.max()))
            vmin = kwargs.get('vmin', np.nanmin(val))
            vmax = kwargs.get('vmax', np.nanmax(val))
            surf.colourmap(cmap, range=(vmin, vmax))
Exemplo n.º 3
0
    def add_section(self,
                    geological_feature=None,
                    axis='x',
                    value=None,
                    **kwargs):
        """

        Plot a section/map thru the model and paint with a geological feature

        Parameters
        ----------
        geological_feature : Geological feature
            The feature to paint the section with
        axis : string
            which axis, x,y,z
        value : float
            Where to make the section
        kwargs
            additional kwargs passes to lavavu for colourmaps etc

        Returns
        -------

        """
        print('aa')
        if axis == 'x':
            tri, yy, zz = create_surface(self.bounding_box[:, [1, 2]],
                                         self.nsteps[[1, 2]])
            xx = np.zeros(zz.shape)
            if value is None:
                xx[:] = np.nanmean(self.bounding_box[:, 0])
            else:
                xx[:] = value
        if axis == 'y':
            tri, xx, zz = create_surface(self.bounding_box[:, [0, 2]],
                                         self.nsteps[[0, 2]])
            yy = np.zeros(xx.shape)
            if value is None:
                yy[:] = np.nanmean(self.bounding_box[:, 1])
            else:
                yy[:] = value
        if axis == 'z':
            tri, xx, yy = create_surface(self.bounding_box[:, 0:2],
                                         self.nsteps[0:2])
            zz = np.zeros(xx.shape)
            if value is None:
                zz[:] = np.nanmean(self.bounding_box[:, 2])
            else:
                zz[:] = value
        name = kwargs.get('name', axis + '_slice')
        colour = kwargs.get('colour', 'red')

        # create an array to evaluate the feature on for the section
        points = np.zeros((len(xx), 3))  #
        points[:, 0] = xx
        points[:, 1] = yy
        points[:, 2] = zz

        surf = self.lv.triangles(name)
        surf.vertices(self.model.rescale(points, inplace=False))
        surf.indices(tri)
        logger.info("Adding %s section at %f" % (axis, value))
        if geological_feature is None:
            surf.colours(colour)

        if geological_feature is not None and type(
                geological_feature) == GeologicalFeature:
            if 'norm' in kwargs:
                surf.values(
                    np.linalg.norm(
                        geological_feature.evaluate_gradient(points), axis=1),
                    geological_feature.name)
            else:
                surf.values(geological_feature.evaluate_value(points),
                            geological_feature.name)
            surf["colourby"] = geological_feature.name
            cmap = lavavu.cubehelix(100)
            if 'cmap' in kwargs:
                cmap = kwargs['cmap']
            logger.info("Colouring section with %s min: %f, max: %f" %
                        (geological_feature.name, geological_feature.min(),
                         geological_feature.max()))
            surf.colourmap(
                cmap,
                range=[geological_feature.min(),
                       geological_feature.max()])
        if geological_feature == 'model' and self.model is not None:
            name = kwargs.get('name', 'model_section')
            surf.values(self.model.evaluate_model(points, scale=True), name)
            surf["colourby"] = name
            cmap = lavavu.cubehelix(100)
            if 'cmap' in kwargs:
                cmap = kwargs['cmap']