class visbrain.objects.SceneObj(bgcolor='black', camera_state={}, verbose=None, **kwargs)[source][source]

Create a scene and add objects to it.

bgcolorstring | ‘black’

Background color of the scene.

showbool | True

Display the canvas.

camera_statedict | {}

The default camera state to use.


Verbosity level.


List of supported shortcuts :

  • s : save the figure

  • delete : reset all views


__init__(self[, bgcolor, camera_state, verbose])


add_to_subplot(self, obj[, row, col, …])

Add object to subplot.

link(self, \*args)

Link the camera of several objects of the scene.

preview(self[, mpl])

Previsualize the result.

record_animation(self, name[, n_pic])

Record an animated scene and save as a *.gif file.


Render the canvas.

screenshot(self, saveas[, print_size, dpi, …])

Take a screeshot of the scene.

add_to_subplot(self, obj, row=0, col=0, row_span=1, col_span=1, title=None, title_size=12.0, title_color='white', title_bold=True, use_this_cam=False, rotate=None, zoom=None, camera_state={}, width_max=None, height_max=None)[source][source]

Add object to subplot.


The visbrain object to add.

rowint | 0

Row location for the object.

colint | 0

Columns location for the object.

row_spanint | 1

Number of rows to use.

col_spanint | 1

Number of columns to use.

titlestring | None

Subplot title.

title_sizefloat | 12.

Title font size.

title_colorstring/tuple/array_like | ‘white’

Color of the title.

title_boldbool | True

Use bold title.

use_this_cambool | False

If you add multiple objects to the same scene and if you want to use the camera of an object as the reference, turn this parameter to True.

rotatestring | None

Rotate the scene (only available for 3D objects). Use :

  • ‘top’ : top view

  • ‘bottom’ : bottom view

  • ‘left’ : left view

  • ‘right’ : right view

  • ‘front’ : front view

  • ‘back’ : bottom view

  • ‘side-fl’ : side view (front-left)

  • ‘side-fr’ : side view (front-right)

  • ‘side-bl’ : side view (back-left)

  • ‘side-br’ : side view (back-right)

zoomfloat | None

Zoom level. If zoom is in ]0, 1[, the size of the object decrease. If zoom=1, no zoom is applied. If zoom > 1., the size of the object increase. For example, zoom=2 means that the displayed object will appear twice as large.

camera_statedict | {}

Arguments to pass to the camera.

width_maxfloat | None

Maximum width of the subplot.

height_maxfloat | None

Maximum height of the subplot.

Link the camera of several objects of the scene.


List of tuple describing subplot locations. Alternatively, use -1 to link all cameras.


>>> # Link cameras of subplots (0, 0), (0, 1) and (1, 0)
>>>, 0), (0, 1), (1, 0))
preview(self, mpl=False)[source][source]

Previsualize the result.

mplbool | False

Use Matplotlib to display the scene. This result in a non interactive figure.

record_animation(self, name, n_pic=10)[source][source]

Record an animated scene and save as a *.gif file.

Note that this method :

  • Only 3D objects can be animated.

  • Requires the python package imageio


Name of the gif file (e.g ‘myfile.gif’)

n_picint | 10

Number of pictures to use to render the gif.


Render the canvas.


Array of shape (n_rows, n_columns, 4) where 4 describes the RGBA components.

screenshot(self, saveas, print_size=None, dpi=300.0, unit='centimeter', factor=None, region=None, autocrop=False, bgcolor=None, transparent=False, line_width=1.0)[source][source]

Take a screeshot of the scene.

By default, the rendered canvas will have the size of your screen. The screenshot() method provides two ways to increase to exported image resolution :

  • Using print_size, unit and dpi inputs : specify the size of the image at a specific dpi level. For example, you might want to have an (10cm, 15cm) image at 300 dpi.

  • Using the factor input : multiply the default image size by this factor. For example, if you have a (1920, 1080) monitor and if factor is 2, the exported image should have a shape of (3840, 2160) pixels.


The name of the file to be saved. This file must contains a extension like .png, .tiff, .jpg…

print_sizetuple | None

The desired print size. This argument should be used in association with the dpi and unit inputs. print_size describe should be a tuple of two floats describing (width, height) of the exported image for a specific dpi level. The final image might not have the exact desired size but will try instead to find a compromize regarding to the proportion of width/height of the original image.

dpifloat | 300.

Dots per inch for printing the image.

unit{‘centimeter’, ‘millimeter’, ‘pixel’, ‘inch’}

Unit of the printed size.

factorfloat | None

If you don’t want to use the print_size input, factor simply multiply the resolution of your screen.

regiontuple | None

Select a specific region. Must be a tuple of four integers each one describing (x_start, y_start, width, height).

autocropbool | False

Automaticaly crop the figure in order to have the smallest space between the brain and the border of the picture.

bgcolorarray_like/string | None

The background color of the image.

transparentbool | False

Specify if the exported figure have to contains a transparent background.