Source code for holoviews.element.chart3d

import param

from ..core import Dimension, Element3D
from .chart import Chart, Scatter
from .raster import Image


[docs]class Surface(Image, Element3D): """ Surface Element represents a 3D surface in space. The data should be supplied as a dense NxM matrix. """ extents = param.Tuple(default=(None, None, None, None, None, None), doc=""" Allows overriding the extents of the Element in 3D space defined as (xmin, ymin, zmin, xmax, ymax, zmax).""") kdims = param.List(default=[Dimension('x'), Dimension('y')], bounds=(2,2), doc=""" The Surface x and y dimensions of the space defined by the supplied extent.""") vdims = param.List(default=[Dimension('z')], bounds=(1,1), doc=""" The Surface height dimension.""") group = param.String(default='Surface', constant=True) def __init__(self, data, kdims=None, vdims=None, extents=None, **params): extents = extents if extents else (None, None, None, None, None, None) Image.__init__(self, data, kdims=kdims, vdims=vdims, extents=extents, **params)
[docs]class TriSurface(Element3D, Scatter): """ TriSurface object represents a number of coordinates in 3D-space, represented as a Surface of triangular polygons. """ kdims = param.List(default=[Dimension('x'), Dimension('y'), Dimension('z')]) vdims = param.List(default=[], doc=""" TriSurface can have optional value dimensions, which may be mapped onto color and size.""") group = param.String(default='TriSurface', constant=True) def __getitem__(self, slc): return Chart.__getitem__(self, slc)
[docs]class Trisurface(TriSurface): """ Old name for TriSurface. Retaining for backwards compatibility till holoviews 2.0. """ group = param.String(default='Trisurface', constant=True) def __init__(self, *args, **kwargs): self.warning('Please use TriSurface element instead') super(TriSurface, self).__init__(*args, **kwargs)
[docs]class Scatter3D(Element3D, Scatter): """ Scatter3D object represents a number of coordinates in 3D-space. Additionally Scatter3D points may have any number of value dimensions. The data may therefore be supplied as NxD matrix where N represents the number of samples, and D the number of key and value dimensions. """ kdims = param.List(default=[Dimension('x'), Dimension('y'), Dimension('z')]) vdims = param.List(default=[], doc=""" Scatter3D can have optional value dimensions, which may be mapped onto color and size.""") group = param.String(default='Scatter3D', constant=True) def __getitem__(self, slc): return Chart.__getitem__(self, slc)