pyvista_wasm.Plotter#

class pyvista_wasm.Plotter(lighting: str | None = 'default', wasm_rendering: str = 'webgl', wasm_mode: str = 'sync')#

Bases: object

Main plotting interface for pyvista-wasm.

This class provides a PyVista-like API for creating 3D visualizations in the browser using VTK.wasm as the rendering backend.

Parameters:
  • lighting (str or None, optional) – Lighting mode for the plotter. Options are: - "default" (default): Creates a default directional light - None: No default lights are created, giving full control over lighting

  • wasm_rendering (str, optional) – WebAssembly rendering backend. One of "webgl" or "webgpu". Default is "webgl".

  • wasm_mode (str, optional) – Execution mode for VTK.wasm method calls. One of "sync" or "async". "async" requires WebAssembly JavaScript Promise Integration (JSPI) browser support. "webgpu" rendering always uses "async" regardless of this setting. Default is "sync".

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Sphere()
>>> _ = plotter.add_mesh(mesh, color='red')
>>> plotter.show()

Create a plotter with no default lights:

>>> plotter = pv.Plotter(lighting=None)
>>> light = pv.Light(position=(1, 1, 1), intensity=2.0)
>>> plotter.add_light(light)
>>> mesh = pv.Sphere()
>>> _ = plotter.add_mesh(mesh, color='white')
>>> plotter.show()

Create a plotter using WebGPU rendering:

>>> plotter = pv.Plotter(wasm_rendering='webgpu')
__init__(lighting: str | None = 'default', wasm_rendering: str = 'webgl', wasm_mode: str = 'sync') None#

Initialize a new Plotter instance.

Parameters:
  • lighting (str or None, optional) – Lighting mode. "default" creates a default directional light, None creates no default lights. Default is "default".

  • wasm_rendering (str, optional) – WebAssembly rendering backend. One of "webgl" or "webgpu". Default is "webgl".

  • wasm_mode (str, optional) – Execution mode for VTK.wasm method calls. One of "sync" or "async". Default is "sync".

Methods

__init__([lighting, wasm_rendering, wasm_mode])

Initialize a new Plotter instance.

add_axes(**kwargs)

Add an orientation marker (axes indicator) to the viewport.

add_light(light)

Add a light source to the scene.

add_mesh(mesh[, color, opacity, pbr, ...])

Add a mesh to the plotter.

add_points(points[, color, opacity, ...])

Add a point cloud to the plotter.

add_scalar_bar([title, vertical, n_labels])

Add a scalar bar to display the color legend.

add_text(text)

Add a text annotation to the scene.

clear()

Clear all actors from the plotter.

disable_parallel_projection()

Disable parallel projection (use perspective projection).

enable_parallel_projection()

Enable parallel (orthographic) projection.

generate_standalone_html()

Generate a complete standalone HTML page with the current scene.

screenshot([filename, ...])

Take a screenshot of the current scene.

set_environment_texture(texture)

Set the environment texture for image-based lighting (IBL).

show([container_id, cpos])

Display the visualization.

view_isometric()

View the scene from an isometric angle.

view_vector(vector[, viewup])

Point the camera in the direction of the given vector.

view_xy([negative])

View the XY plane.

view_xz([negative])

View the XZ plane.

view_yx([negative])

View the YX plane (inverse of XY).

view_yz([negative])

View the YZ plane.

view_zx([negative])

View the ZX plane (inverse of XZ).

view_zy([negative])

View the ZY plane (inverse of YZ).

Attributes

actors

Return the list of actors in the plotter.

background_color

Get or set the background color.

camera

Get or set the camera for the plotter.

camera_position

Get the camera position.

property actors: list[dict[str, Any]]#

Return the list of actors in the plotter.

add_axes(**kwargs: object) None#

Add an orientation marker (axes indicator) to the viewport.

Displays XYZ axes in the corner of the viewport to help orient the viewer. Backed by VTK.wasm vtkOrientationMarkerWidget.

Parameters:

**kwargs – Reserved for future implementation. Currently accepts no parameters.

Examples

Basic usage:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.add_axes()
>>> plotter.show()

With multiple meshes:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere(), color='red')
>>> _ = plotter.add_mesh(pv.Cube(center=(2, 0, 0)), color='blue')
>>> plotter.add_axes()
>>> plotter.show()
add_light(light: Light) None#

Add a light source to the scene.

Parameters:

light (Light) – The Light to add.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere(), color='white')
>>> light = pv.Light(position=(5, 5, 5), color='white', intensity=2.0)
>>> plotter.add_light(light)
>>> plotter.show()
add_mesh(mesh: PolyData, color: str | tuple[float, float, float] | None = None, opacity: float = 1.0, pbr: bool = False, metallic: float = 0.0, roughness: float = 0.5, smooth_shading: bool = True, texture: Texture | None = None, show_edges: bool = False, edge_color: str | tuple[float, float, float] | None = None, style: str = 'surface', scalars: str | None = None, cmap: str = 'viridis', **kwargs: object) dict[str, object]#

Add a mesh to the plotter.

Parameters:
  • mesh (Mesh) – The mesh object to add to the scene.

  • color (str or tuple, optional) – Color of the mesh. Can be a color name or RGB tuple.

  • opacity (float, optional) – Opacity of the mesh, between 0 (transparent) and 1 (opaque).

  • pbr (bool, optional) – Enable physically based rendering (PBR). Default is False.

  • metallic (float, optional) – Metallic factor for PBR, between 0 (non-metallic) and 1 (fully metallic). Only used when pbr=True. Default is 0.0.

  • roughness (float, optional) – Roughness factor for PBR, between 0 (mirror-like) and 1 (fully rough). Only used when pbr=True. Default is 0.5.

  • smooth_shading (bool, optional) – Enable smooth shading (Gouraud interpolation). When True, the mesh surface appears smooth by interpolating normals across polygons. When False, flat shading is used where each polygon face has a uniform color. Default is True.

  • texture (Texture, optional) – Surface texture to apply to the mesh. Create one with Texture. The mesh should have texture coordinates set (e.g., via texture_map_to_plane()) or use a primitive (Sphere, Cube, Cylinder) that generates them automatically.

  • show_edges (bool, optional) – Show the edges of the mesh. Default is False.

  • edge_color (str or tuple, optional) – Color of the edges when show_edges=True. Can be a color name or RGB tuple. If not specified, defaults to black.

  • style (str, optional) – Visualization style of the mesh. One of 'surface' (default), 'wireframe', or 'points'.

  • scalars (str, optional) – Name of the scalar array to use for coloring. The array must exist in mesh.point_data.

  • cmap (str, optional) – Name of the colormap to use when rendering scalars. Default is ‘viridis’. Supported colormaps: ‘viridis’, ‘plasma’, ‘inferno’, ‘magma’, ‘jet’, ‘rainbow’, ‘turbo’, ‘coolwarm’.

  • **kwargs – Additional rendering options.

Returns:

The VTK.wasm actor representing the mesh.

Return type:

actor

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Sphere()
>>> _ = plotter.add_mesh(mesh, color='red', opacity=0.8)

PBR example:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Sphere()
>>> _ = plotter.add_mesh(mesh, color='white', pbr=True, metallic=0.8, roughness=0.1)

Texture example:

>>> import pyvista_wasm as pv
>>> from pyvista_wasm import examples
>>> plotter = pv.Plotter()
>>> sphere = pv.Sphere()
>>> texture = examples.download_masonry_texture()
>>> _ = plotter.add_mesh(sphere, texture=texture)
>>> plotter.show()

Show edges:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Sphere()
>>> _ = plotter.add_mesh(mesh, show_edges=True, edge_color='black')
>>> plotter.show()

Wireframe rendering:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Cube()
>>> _ = plotter.add_mesh(mesh, style='wireframe')
>>> plotter.show()

Surface with edges:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> mesh = pv.Cube()
>>> _ = plotter.add_mesh(mesh, style='surface', show_edges=True)
>>> plotter.show()

Scalar coloring:

>>> import pyvista_wasm as pv
>>> mesh = pv.Sphere()
>>> mesh['elevation'] = mesh.points[:, 2]
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(mesh, scalars='elevation', cmap='viridis')
>>> plotter.show()

Compare smooth shading (left) and flat shading (right) side by side:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> color = (0.8, 0.6, 0.2)
>>> smooth = pv.Sphere(center=(-1.5, 0, 0), theta_resolution=8, phi_resolution=8)
>>> _ = plotter.add_mesh(smooth, color=color, smooth_shading=True)
>>> flat = pv.Sphere(center=(1.5, 0, 0), theta_resolution=8, phi_resolution=8)
>>> _ = plotter.add_mesh(flat, color=color, smooth_shading=False)
>>> plotter.show()
add_points(points: object, color: str | tuple[float, float, float] | None = None, opacity: float = 1.0, point_size: float = 5.0, render_points_as_spheres: bool = False, **kwargs: object) dict[str, object]#

Add a point cloud to the plotter.

Parameters:
  • points (array-like or PolyData) – Point coordinates as an (n, 3) numpy array or PolyData object.

  • color (str or tuple, optional) – Color of the points. Can be a color name or RGB tuple.

  • opacity (float, optional) – Opacity of the points, between 0 (transparent) and 1 (opaque).

  • point_size (float, optional) – Size of the points in pixels. Default is 5.0.

  • render_points_as_spheres (bool, optional) – Render points as spheres instead of screen-space squares. Default is False.

  • **kwargs – Additional rendering options.

Returns:

The VTK.wasm actor representing the point cloud.

Return type:

actor

Examples

>>> import pyvista_wasm as pv
>>> import numpy as np
>>> points = np.random.rand(100, 3)
>>> plotter = pv.Plotter()
>>> _ = plotter.add_points(points, color='red', point_size=10)
>>> plotter.show()

With spheres:

>>> plotter = pv.Plotter()
>>> points = np.random.rand(50, 3)
>>> _ = plotter.add_points(
...     points, color='blue', point_size=8, render_points_as_spheres=True
... )
>>> plotter.show()
add_scalar_bar(title: str = '', vertical: bool = True, n_labels: int = 5) None#

Add a scalar bar to display the color legend.

This method adds a scalar bar (color legend) that shows the mapping between scalar values and colors. The scalar bar is linked to the active scalar colormap from the most recently added mesh.

Parameters:
  • title (str, optional) – Title text to display on the scalar bar. Default is an empty string.

  • vertical (bool, optional) – Whether to orient the scalar bar vertically (True) or horizontally (False). Default is True.

  • n_labels (int, optional) – Number of labels to display on the scalar bar. Default is 5.

Examples

>>> import pyvista_wasm as pv
>>> import numpy as np
>>> mesh = pv.Sphere()
>>> mesh['height'] = mesh.points[:, 2]
>>> plotter = pv.Plotter()
>>> plotter.add_mesh(mesh, scalars='height', cmap='viridis')
>>> plotter.add_scalar_bar(title='Height', vertical=True)
>>> plotter.show()

Horizontal scalar bar:

>>> plotter = pv.Plotter()
>>> plotter.add_mesh(mesh, scalars='height', cmap='viridis')
>>> plotter.add_scalar_bar(title='Height', vertical=False, n_labels=7)
>>> plotter.show()
add_text(text: Text) None#

Add a text annotation to the scene.

Parameters:

text (Text) – The Text to add.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere(), color='white')
>>> text = pv.Text("Hello World", position=(0.5, 0.9))
>>> plotter.add_text(text)
>>> plotter.show()
property background_color: tuple[float, float, float]#

Get or set the background color.

Parameters:

color (str or tuple) – Color name (e.g., ‘white’, ‘black’, ‘red’) or RGB tuple with values between 0 and 1 (e.g., (1.0, 1.0, 1.0) for white).

Returns:

RGB color tuple with values between 0 and 1.

Return type:

tuple

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> plotter.background_color = 'white'
>>> plotter.background_color
(1.0, 1.0, 1.0)
>>> plotter.background_color = (0.5, 0.5, 0.5)
property camera: Camera | None#

Get or set the camera for the plotter.

Parameters:

cam (Camera) – The camera object to use for rendering.

Returns:

The current camera, or None if not set.

Return type:

Camera or None

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> camera = pv.Camera()
>>> camera.position = (5, 5, 5)
>>> camera.focal_point = (0, 0, 0)
>>> plotter.camera = camera
>>> plotter.show()
property camera_position: tuple[float, float, float] | tuple[tuple[float, float, float], tuple[float, float, float], tuple[float, float, float]] | None#

Get the camera position.

Returns:

If a camera is set, returns a 3-tuple of 3-tuples: (position, focal_point, view_up). Otherwise returns None.

Return type:

tuple or None

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> plotter.camera_position = [(2.0, 5.0, 13.0), (0.0, 0.0, 0.0), (0.0, 1.0, 0.0)]
>>> plotter.camera_position
((2.0, 5.0, 13.0), (0.0, 0.0, 0.0), (0.0, 1.0, 0.0))
clear() None#

Clear all actors from the plotter.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.clear()
disable_parallel_projection() None#

Disable parallel projection (use perspective projection).

Switches the camera from parallel projection to perspective projection.

If no camera is set, creates a default camera with perspective projection.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.enable_parallel_projection()
>>> plotter.disable_parallel_projection()
>>> plotter.show()
enable_parallel_projection() None#

Enable parallel (orthographic) projection.

Switches the camera from perspective projection to parallel projection. This is useful for viewing 2D datasets, CAD-like orthographic views, and scientific visualization where perspective distortion is undesirable.

If no camera is set, creates a default camera with parallel projection enabled.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.enable_parallel_projection()
>>> plotter.view_isometric()
>>> plotter.show()
generate_standalone_html() str#

Generate a complete standalone HTML page with the current scene.

Returns:

A full HTML document string containing the visualization.

Return type:

str

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> html = plotter.generate_standalone_html()
>>> '<!DOCTYPE html>' in html
True
screenshot(filename: str | Path | None = None, transparent_background: bool | None = None, return_img: bool = True, window_size: tuple[int, int] | list[int] | None = None, scale: int | None = None) np.ndarray | None#

Take a screenshot of the current scene.

Parameters:
  • filename (str, Path, or None, optional) – File path to save the image. If None, no file is written. Supported formats: PNG, JPEG. Default is None.

  • transparent_background (bool or None, optional) – Whether to make the background transparent. If None, uses the current background setting. Default is None.

  • return_img (bool, optional) – If True, return a numpy array of the image. Default is True.

  • window_size (tuple or list of int, optional) – Temporarily resize the window to (width, height) before capturing. If None, uses the current window size. Default is None.

  • scale (int or None, optional) – Scale factor for the window size to produce a higher-resolution image. For example, scale=2 will double the resolution. Default is None.

Returns:

If return_img is True, returns a numpy array with shape (height, width, 3) for RGB or (height, width, 4) for RGBA (when transparent_background=True). Otherwise returns None.

Return type:

numpy.ndarray or None

Examples

Save a screenshot to a file:

>>> import pyvista_wasm as pv
>>> sphere = pv.Sphere()
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(sphere)
>>> pl.screenshot("screenshot.png")

Get image data as numpy array:

>>> import pyvista_wasm as pv
>>> sphere = pv.Sphere()
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(sphere)
>>> img = pl.screenshot(return_img=True)
>>> img.shape
(400, 600, 3)

High-resolution screenshot with scaling:

>>> import pyvista_wasm as pv
>>> sphere = pv.Sphere()
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(sphere)
>>> pl.screenshot("high_res.png", scale=2)

Screenshot with transparent background:

>>> import pyvista_wasm as pv
>>> sphere = pv.Sphere()
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(sphere)
>>> pl.screenshot("transparent.png", transparent_background=True)
set_environment_texture(texture: str | CubeMap) None#

Set the environment texture for image-based lighting (IBL).

Used with PBR materials to provide realistic reflections and lighting.

Parameters:

texture (str or CubeMap) – Either a URL string pointing to an equirectangular image, or a CubeMap returned by download_sky_box_cube_map().

Examples

URL string:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere(), color='white', pbr=True, metallic=1.0, roughness=0.1)
>>> plotter.set_environment_texture('https://example.com/env.jpg')
>>> plotter.show()

CubeMap:

>>> import pyvista_wasm as pv
>>> from pyvista_wasm import examples
>>> cubemap = examples.download_sky_box_cube_map()
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(
...     pv.Sphere(), color='white', pbr=True, metallic=1.0, roughness=0.1)
>>> plotter.set_environment_texture(cubemap)
>>> plotter.show()
show(container_id: str | None = None, cpos: str | tuple[float, float, float] | tuple[tuple[float, float, float], tuple[float, float, float], tuple[float, float, float]] | list[float] | list[tuple[float, float, float]] | list[list[float]] | None = None) object | None#

Display the visualization.

In browser environments, this will render the scene using VTK.wasm. In marimo, returns the Html object for display.

Parameters:
  • container_id (str, optional) – HTML element ID for the visualization container. Defaults to a unique ID generated per Plotter instance to avoid conflicts when calling show() multiple times in the same session.

  • cpos (str, tuple, or list, optional) –

    Camera position specification. Can be:

    • String shortcut: ‘xy’, ‘xz’, ‘yz’, ‘yx’, ‘zx’, ‘zy’, or ‘iso’

    • Direction vector: 3-element tuple/list (x, y, z)

    • Full camera spec: 3-tuple/list of 3-tuples/lists: [(position), (focal_point), (view_up)]

Returns:

In marimo environments, returns the Html widget for display. In other environments, returns None.

Return type:

object or None

Examples

Basic usage:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.show()

With camera position string shortcut:

>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.show(cpos='xy')

With direction vector:

>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.show(cpos=(1, 0, 0))

With full camera specification:

>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.show(cpos=[(2.0, 5.0, 13.0), (0.0, 0.0, 0.0), (0.0, 1.0, 0.0)])
view_isometric() None#

View the scene from an isometric angle.

The isometric view shows all three axes equally, looking from the (1, 1, 1) direction.

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.view_isometric()
>>> plotter.show()
view_vector(vector: tuple[float, float, float], viewup: tuple[float, float, float] | None = None) None#

Point the camera in the direction of the given vector.

Parameters:
  • vector (tuple of float) – Direction to point the camera in, given as (vx, vy, vz).

  • viewup (tuple of float, optional) – View-up vector. Defaults to (0, 1, 0).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_vector((1, 0, 0))
>>> plotter.show()

View from an isometric angle:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.view_vector((1, 1, 1))
>>> plotter.show()
view_xy(negative: bool = False) None#

View the XY plane.

Look down the Z-axis, with the positive Z-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative Z direction (down the +Z axis). Default is False (look down the -Z axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_xy()
>>> plotter.show()

View from the negative Z direction:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.view_xy(negative=True)
>>> plotter.show()
view_xz(negative: bool = False) None#

View the XZ plane.

Look down the Y-axis, with the positive Y-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative Y direction (down the +Y axis). Default is False (look down the -Y axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_xz()
>>> plotter.show()

View from the negative Y direction:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.view_xz(negative=True)
>>> plotter.show()
view_yx(negative: bool = False) None#

View the YX plane (inverse of XY).

Look down the Z-axis from below, with the negative Z-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative Z direction (down the +Z axis). Default is False (look down the -Z axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_yx()
>>> plotter.show()
view_yz(negative: bool = False) None#

View the YZ plane.

Look down the X-axis, with the positive X-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative X direction (down the +X axis). Default is False (look down the -X axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_yz()
>>> plotter.show()

View from the negative X direction:

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Cube())
>>> plotter.view_yz(negative=True)
>>> plotter.show()
view_zx(negative: bool = False) None#

View the ZX plane (inverse of XZ).

Look down the Y-axis from below, with the negative Y-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative Y direction (down the +Y axis). Default is False (look down the -Y axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_zx()
>>> plotter.show()
view_zy(negative: bool = False) None#

View the ZY plane (inverse of YZ).

Look down the X-axis from the left, with the negative X-axis pointing toward the camera.

Parameters:

negative (bool, optional) – Look in the negative X direction (down the +X axis). Default is False (look down the -X axis).

Examples

>>> import pyvista_wasm as pv
>>> plotter = pv.Plotter()
>>> _ = plotter.add_mesh(pv.Sphere())
>>> plotter.view_zy()
>>> plotter.show()