pyvista.MultiBlock.plot#
- MultiBlock.plot(
- off_screen=None,
- full_screen=None,
- screenshot=None,
- interactive=True,
- cpos=None,
- window_size=None,
- show_bounds=False,
- show_axes=None,
- notebook=None,
- background=None,
- text='',
- return_img=False,
- eye_dome_lighting=False,
- volume=False,
- parallel_projection=False,
- jupyter_backend=None,
- return_viewer=False,
- return_cpos=False,
- jupyter_kwargs=None,
- theme=None,
- anti_aliasing=None,
- zoom=None,
- border=False,
- border_color='k',
- border_width=2.0,
- ssao=False,
- **kwargs,
Plot a PyVista, numpy, or vtk object.
- Parameters:
- var_item
pyvista.DataSet
See
Plotter.add_mesh
for all supported types.- off_screenbool,
optional
Plots off screen when
True
. Helpful for saving screenshots without a window popping up. Defaults to the global settingpyvista.OFF_SCREEN
.- full_screenbool, default:
pyvista.plotting.themes.Theme.full_screen
Opens window in full screen. When enabled, ignores
window_size
.- screenshot
str
or bool,optional
Saves screenshot to file when enabled. See:
Plotter.screenshot()
. DefaultFalse
.When
True
, takes screenshot and returnsnumpy
array of image.- interactivebool, default:
pyvista.plotting.themes.Theme.interactive
Allows user to pan and move figure.
- cpos
list
,optional
List of camera position, focal point, and view up.
- window_sizesequence, default:
pyvista.plotting.themes.Theme.window_size
Window size in pixels.
- show_boundsbool, default:
False
Shows mesh bounds when
True
.- show_axesbool, default:
pyvista.plotting.themes._AxesConfig.show
Shows a vtk axes widget.
- notebookbool, default:
pyvista.plotting.themes.Theme.notebook
When
True
, the resulting plot is placed inline a jupyter notebook. Assumes a jupyter console is active.- background
ColorLike
, default:pyvista.plotting.themes.Theme.background
Color of the background.
- text
str
,optional
Adds text at the bottom of the plot.
- return_imgbool, default:
False
Returns numpy array of the last image rendered.
- eye_dome_lightingbool,
optional
Enables eye dome lighting.
- volumebool, default:
False
Use the
Plotter.add_volume()
method for volume rendering.- parallel_projectionbool, default:
False
Enable parallel projection.
- jupyter_backend
str
, default:pyvista.plotting.themes.Theme.jupyter_backend
Jupyter notebook plotting backend to use. One of the following:
'none'
: Do not display in the notebook.'static'
: Display a static figure.'trame'
: Display usingtrame
.
This can also be set globally with
pyvista.set_jupyter_backend()
.- return_viewerbool, default:
False
Return the jupyterlab viewer, scene, or display object when plotting with jupyter notebook.
- return_cposbool, default:
False
Return the last camera position from the render window when enabled. Defaults to value in theme settings.
- jupyter_kwargs
dict
,optional
Keyword arguments for the Jupyter notebook plotting backend.
- theme
pyvista.plotting.themes.Theme
,optional
Plot-specific theme.
- anti_aliasing
str
| bool, default:pyvista.plotting.themes.Theme.anti_aliasing
Enable or disable anti-aliasing. If
True
, uses"msaa"
. If False, disables anti_aliasing. If a string, should be either"fxaa"
or"ssaa"
.- zoom
float
,str
,optional
Camera zoom. Either
'tight'
or a float. A value greater than 1 is a zoom-in, a value less than 1 is a zoom-out. Must be greater than 0.- borderbool, default:
False
Draw a border around each render window.
- border_color
ColorLike
, default: “k” Either a string, rgb list, or hex color string. For example:
color='white'
color='w'
color=[1.0, 1.0, 1.0]
color='#FFFFFF'
- border_width
float
, default: 2.0 Width of the border in pixels when enabled.
- ssaobool,
optional
Enable surface space ambient occlusion (SSAO). See
Plotter.enable_ssao()
for more details.- **kwargs
dict
,optional
See
pyvista.Plotter.add_mesh()
for additional options.
- var_item
- Returns:
- cpos
list
List of camera position, focal point, and view up. Returned only when
return_cpos=True
or set in the default global or plot theme. Not returned when in a jupyter notebook andreturn_viewer=True
.- image
np.ndarray
Numpy array of the last image when either
return_img=True
orscreenshot=True
is set. Not returned when in a jupyter notebook withreturn_viewer=True
. Optionally contains alpha values. Sized:[Window height x Window width x 3] if the theme sets
transparent_background=False
.[Window height x Window width x 4] if the theme sets
transparent_background=True
.
- widget
ipywidgets.Widget
IPython widget when
return_viewer=True
.
- cpos
Examples
Plot a simple sphere while showing its edges.
>>> import pyvista as pv >>> mesh = pv.Sphere() >>> mesh.plot(show_edges=True)
Plot a volume mesh. Color by distance from the center of the ImageData. Note
volume=True
is passed.>>> import numpy as np >>> grid = pv.ImageData( ... dimensions=(32, 32, 32), spacing=(0.5, 0.5, 0.5) ... ) >>> grid['data'] = np.linalg.norm(grid.center - grid.points, axis=1) >>> grid['data'] = np.abs(grid['data'] - grid['data'].max()) ** 3 >>> grid.plot(volume=True)