pyvista.Plotter.add_composite#

Plotter.add_composite(dataset, color=None, style=None, scalars=None, clim=None, show_edges=None, edge_color=None, point_size=None, line_width=None, opacity=1.0, flip_scalars=False, lighting=None, n_colors=256, interpolate_before_map=True, cmap=None, label=None, reset_camera=None, scalar_bar_args=None, show_scalar_bar=None, multi_colors=False, name=None, render_points_as_spheres=None, render_lines_as_tubes=None, smooth_shading=None, split_sharp_edges=None, ambient=None, diffuse=None, specular=None, specular_power=None, nan_color=None, nan_opacity=1.0, culling=None, rgb=None, below_color=None, above_color=None, annotations=None, pickable=True, preference='point', log_scale=False, pbr=None, metallic=None, roughness=None, render=True, component=None, color_missing_with_nan=False, copy_mesh=False, show_vertices=None, edge_opacity=None, **kwargs)[source]#

Add a composite dataset to the plotter.

Parameters:

datasetpyvista.MultiBlock

A pyvista.MultiBlock dataset.

colorColorLike, default: pyvista.plotting.themes.Theme.color

Use to make the entire mesh have a single solid color. Either a string, RGB list, or hex color string. For example: color='white', color='w', color=[1.0, 1.0, 1.0], or color='#FFFFFF'. Color will be overridden if scalars are specified. To color each element of the composite dataset individually, you will need to iteratively call add_mesh for each sub-dataset.

stylestr, default: ‘wireframe’

Visualization style of the mesh. One of the following: style='surface', style='wireframe', style='points'. Defaults to 'surface'. Note that 'wireframe' only shows a wireframe of the outer geometry.

scalarsstr, optional

Scalars used to “color” the points or cells of the dataset. Accepts only a string name of an array that is present on the composite dataset.

climsequence[float], optional

Two item color bar range for scalars. Defaults to minimum and maximum of scalars array. Example: [-1, 2]. rng is also an accepted alias for this.

show_edgesbool, default: pyvista.global_theme.show_edges

Shows the edges of a mesh. Does not apply to a wireframe representation.

edge_colorColorLike, default: pyvista.global_theme.edge_color

The solid color to give the edges when show_edges=True. Either a string, RGB list, or hex color string.

Defaults to pyvista.global_theme.edge_color.

point_sizefloat, default: 5.0

Point size of any points in the dataset plotted. Also applicable when style=’points’. Default 5.0.

line_widthfloat, optional

Thickness of lines. Only valid for wireframe and surface representations.

opacityfloat, default: 1.0

Opacity of the mesh. A single float value that will be applied globally opacity of the mesh and uniformly applied everywhere - should be between 0 and 1.

flip_scalarsbool, default: False

Flip direction of cmap. Most colormaps allow *_r suffix to do this as well.

lightingbool, default: True

Enable or disable view direction lighting.

n_colorsint, default: 256

Number of colors to use when displaying scalars. The scalar bar will also have this many colors.

interpolate_before_mapbool, default: True

Enabling makes for a smoother scalars display. When False, OpenGL will interpolate the mapped colors which can result in showing colors that are not present in the color map.

cmapstr | list, | pyvista.LookupTable, default: pyvista.plotting.themes.Theme.cmap

If a string, this is the name of the matplotlib colormap to use when mapping the scalars. See available Matplotlib colormaps. Only applicable for when displaying scalars. colormap is also an accepted alias for this. If colorcet or cmocean are installed, their colormaps can be specified by name.

You can also specify a list of colors to override an existing colormap with a custom one. For example, to create a three color colormap you might specify ['green', 'red', 'blue'].

This parameter also accepts a pyvista.LookupTable. If this is set, all parameters controlling the color map like n_colors will be ignored.

labelstr, optional

String label to use when adding a legend to the scene with pyvista.Plotter.add_legend().

reset_camerabool, optional

Reset the camera after adding this mesh to the scene. The default setting is None, where the camera is only reset if this plotter has already been shown. If False, the camera is not reset regardless of the state of the Plotter. When True, the camera is always reset.

scalar_bar_argsdict, optional

Dictionary of keyword arguments to pass when adding the scalar bar to the scene. For options, see pyvista.Plotter.add_scalar_bar().

show_scalar_barbool

If False, a scalar bar will not be added to the scene. Defaults to True unless rgba=True.

multi_colorsbool | str | cycler.Cycler | sequence[ColorLike], default: False

Color each block by a solid color using a custom cycler.

If True, the default ‘matplotlib’ color cycler is used.

See set_color_cycler for usage of custom color cyclers.

namestr, optional

The name for the added mesh/actor so that it can be easily updated. If an actor of this name already exists in the rendering window, it will be replaced by the new actor.

render_points_as_spheresbool, default: False

Render points as spheres rather than dots.

render_lines_as_tubesbool, default: False

Show lines as thick tubes rather than flat lines. Control the width with line_width.

smooth_shadingbool, default: :attr`pyvista.plotting.themes.Theme.smooth_shading`

Enable smooth shading when True using the Phong shading algorithm. When False, uses flat shading. Automatically enabled when pbr=True. See Types of Shading.

split_sharp_edgesbool, default: False

Split sharp edges exceeding 30 degrees when plotting with smooth shading. Control the angle with the optional keyword argument feature_angle. By default this is False unless overridden by the global or plotter theme. Note that enabling this will create a copy of the input mesh within the plotter. See Types of Shading.

ambientfloat, default: 0.0

When lighting is enabled, this is the amount of light in the range of 0 to 1 (default 0.0) that reaches the actor when not directed at the light source emitted from the viewer.

diffusefloat, default: 1.0

The diffuse lighting coefficient.

specularfloat, default: 0.0

The specular lighting coefficient.

specular_powerfloat, default: 1.0

The specular power. Between 0.0 and 128.0.

nan_colorColorLike, default: pyvista.plotting.themes.Theme.nan_color

The color to use for all NaN values in the plotted scalar array.

nan_opacityfloat, default: 1.0

Opacity of NaN values. Should be between 0 and 1.

cullingstr, bool, default: False

Does not render faces that are culled. This can be helpful for dense surface meshes, especially when edges are visible, but can cause flat meshes to be partially displayed. One of the following:

True - Enable backface culling
"b" - Enable backface culling
"back" - Enable backface culling
"backface" - Enable backface culling
"f" - Enable frontface culling
"front" - Enable frontface culling
"frontface" - Enable frontface culling
False - Disable both backface and frontface culling

rgbbool, default: False

If an 2 dimensional array is passed as the scalars, plot those values as RGB(A) colors. rgba is also an accepted alias for this. Opacity (the A) is optional. If a scalars array ending with "_rgba" is passed, the default becomes True. This can be overridden by setting this parameter to False.

below_colorColorLike, optional

Solid color for values below the scalars range (clim). This will automatically set the scalar bar below_label to 'below'.

above_colorColorLike, optional

Solid color for values below the scalars range (clim). This will automatically set the scalar bar above_label to 'above'.

annotationsdict, optional

Pass a dictionary of annotations. Keys are the float values in the scalars range to annotate on the scalar bar and the values are the string annotations.

pickablebool, default: True

Set whether this actor is pickable.

preferencestr, default: ‘point’

For each block, when block.n_points == block.n_cells and setting scalars, this parameter sets how the scalars will be mapped to the mesh. For example, when 'point' the scalars will be associated with the mesh points if available. Can be either 'point' or 'cell'.

log_scalebool, default: False

Use log scale when mapping data to colors. Scalars less than zero are mapped to the smallest representable positive float.

pbrbool, default: False

Enable physics based rendering (PBR) if the mesh is PolyData. Use the color argument to set the base color.

metallicfloat, default: 0.0

Usually this value is either 0 or 1 for a real material but any value in between is valid. This parameter is only used by PBR interpolation.

roughnessfloat, default: 0.5

This value has to be between 0 (glossy) and 1 (rough). A glossy material has reflections and a high specular part. This parameter is only used by PBR interpolation.

renderbool, default: True

Force a render when True.

componentint, optional

Set component of vector valued scalars to plot. Must be nonnegative, if supplied. If None, the magnitude of the vector is plotted.

color_missing_with_nanbool, default: False

Color any missing values with the nan_color. This is useful when not all blocks of the composite dataset have the specified scalars.

copy_meshbool, default: False

If True, a copy of the mesh will be made before adding it to the plotter. This is useful if e.g. you would like to add the same mesh to a plotter multiple times and display different scalars. Setting copy_mesh to False is necessary if you would like to update the mesh after adding it to the plotter and have these updates rendered, e.g. by changing the active scalars or through an interactive widget.

show_verticesbool, optional

When style is not 'points', render the external surface vertices. The following optional keyword arguments may be used to control the style of the vertices:

vertex_color - The color of the vertices
vertex_style - Change style to 'points_gaussian'
vertex_opacity - Control the opacity of the vertices

edge_opacityfloat, optional

Edge opacity of the mesh. A single float value that will be applied globally edge opacity of the mesh and uniformly applied everywhere - should be between 0 and 1.

Note

edge_opacity uses SetEdgeOpacity as the underlying method which requires VTK version 9.3 or higher. If SetEdgeOpacity is not available, edge_opacity is set to 1.

**kwargsdict, optional

Optional keyword arguments.

Returns:

pyvista.Actor: Actor of the composite dataset.
pyvista.CompositePolyDataMapper: Composite PolyData mapper.

Examples

Add a sphere and a cube as a multiblock dataset to a plotter and then change the visibility and color of the blocks.

Note index 1 and 2 are used to access the individual blocks of the composite dataset. This is because the pyvista.MultiBlock is the root node of the “tree” and is index 0. This allows you to access individual blocks or the entire composite dataset itself in the case of multiple nested composite datasets.

>>> import pyvista as pv
>>> dataset = pv.MultiBlock(
...     [pv.Cube(), pv.Sphere(center=(0, 0, 1))]
... )
>>> pl = pv.Plotter()
>>> actor, mapper = pl.add_composite(dataset)
>>> mapper.block_attr[1].color = 'b'
>>> mapper.block_attr[1].opacity = 0.5
>>> mapper.block_attr[2].color = 'r'
>>> pl.show()

Static Scene

../../../_images/pyvista-Plotter-add_composite-1_00_00.png

Interactive Scene