visbrain.objects.ColorbarObj¶

class visbrain.objects.ColorbarObj(name, rect=(-0.7, -2, 1.5, 4), transform=None, parent=None, verbose=None, **kwargs)[source][source]¶

Create a colorbar object.

Parameters

namestr: Name of the colorbar object. Alternatively, you can pass an other object (like BrainObj or SourceObj) to get their colorbar.
recttuple | (-.7, -2, 1.5, 4): Camera rectangle. The rect input must be a tuple of four floats describing where the camera (start_x, start_y, length_x, length_y).
cmapstring | None: Matplotlib colormap (like ‘viridis’, ‘inferno’…).
climtuple/list | None: Colorbar limit. Every values under / over clim will clip.
isvminbool | False: Activate/deactivate vmin.
vminfloat | None: Every values under vmin will have the color defined using the under parameter.
vmaxfloat | None: Every values over vmin will have the color defined using the over parameter.
undertuple/string | None: Matplotlib color under vmin.
overtuple/string | None: Matplotlib color over vmax.
cblabelstring | ‘’: Colorbar label.
cbtxtszfloat | 5..: Text size of the colorbar label.
cbtxtshfloat | 2.3: Shift for the colorbar label.
txtcolorstring | ‘white’: Text color.
txtszfloat | 3.: Text size for clim/vmin/vmax text.
txtshfloat | 1.2: Shift for clim/vmin/vmax text.
borderbool | True: Display colorbar borders.
bwfloat | 2.: Border width.
limtxtbool | True: Display vmin/vmax text.
bgcolortuple/string | (0., 0., 0.): Background color of the colorbar canvas.
ndigitsint | 2: Number of digits for the text.
widthfloat | 0.17: Colorbar width.
transformVisPy.visuals.transforms | None: VisPy transformation to set to the parent node.
parentVisPy.parent | None: Markers object parent.
verbosestring: Verbosity level.

Notes

List of supported shortcuts :

s : save the figure

<delete> : reset camera

Examples

>>> from visbrain.objects import ColorbarObj
>>> cb = ColorbarObj('cbar', cmap='viridis', clim=(4., 78.2), vmin=10.,
>>>                  vmax=72., cblabel='Colorbar title', under='gray',
>>>                  over='red', txtcolor='black', cbtxtsz=40, cbtxtsh=2.,
>>>                  txtsz=20., width=.04)
>>> cb.preview()

Methods

`__init__`(self, name[, rect, transform, …])	Init.
`animate`(self[, step, interval, iterations])	Animate the object.
`copy`(self)	Get a copy of the object.
`describe_tree`(self)	Tree description.
`preview`(self[, bgcolor, axis, xyz, show, …])	Previsualize the result.
`record_animation`(self, name[, n_pic, bgcolor])	Record an animated object and save as a *.gif file.
`render`(self)	Render the canvas.
`screenshot`(self, saveas[, print_size, dpi, …])	Take a screeshot of the scene.
`set_shortcuts_to_canvas`(self, canvas)	Set shortcuts to a VisbrainCanvas.
`to_dict`(self)	Return a dictionary of all colorbar args.
`to_kwargs`(self[, addisminmax])	Return a dictionary for input arguments.
`update`(self)	Fonction to run when an update is needed.
`update_from_dict`(self, kwargs)	Update attributes from a dictionary.

animate(self, step=1.0, interval='auto', iterations=-1)[source]¶

Animate the object.

Note that this method can only be used with 3D objects.

Parameters

stepfloat | 1.: Rotation step.
intervalfloat | ‘auto’: Time between events in seconds. The default is ‘auto’, which attempts to find the interval that matches the refresh rate of the current monitor. Currently this is simply 1/60.
iterationsint | -1: Number of iterations. Can be -1 for infinite.

cmap¶: Get the cmap value.

copy(self)[source]¶: Get a copy of the object.

data_folder¶: Get the data_folder value.

name¶: Get the name value.

parent¶: Get the parent value.

preview(self, bgcolor='black', axis=False, xyz=False, show=True, obj=None, size=(1200, 800), mpl=False, **kwargs)[source]¶

Previsualize the result.

Parameters

bgcolorarray_like/string/tuple | ‘black’: Background color for the preview.
axisbool | False: Add x and y axis with ticks.
xyzbool | False: Add an (x, y, z) axis to the scene.
objVisbrainObj | None: Pass a Visbrain object if you want to use the camera of an other object.
sizetuple | (1200, 800): Default size of the window.
mplbool | False: Use Matplotlib to display the object. This result in a non interactive figure.
kwargsdict | {}: Optional arguments are passed to the VisbrainCanvas class.

record_animation(self, name, n_pic=10, bgcolor=None)[source]¶

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

Note that this method :

Can only be used with 3D objects.

Requires the python package imageio

Parameters

namestring: Name of the gif file (e.g ‘myfile.gif’)
n_picint | 10: Number of pictures to use to render the gif.
bgcolorstring, tuple, list | None: Background color.

render(self)[source]¶

Render the canvas.

Returns

imgarray_like: 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, obj=None, line_width=1.0, **kwargs)[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.

Parameters

saveasstr: 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.
objVisbrainObj | None: Pass a Visbrain object if you want to use the camera of an other object for the sceen rendering.
kwargsdict | {}: Optional arguments are passed to the VisbrainCanvas class.

transform¶: Get the transform value.

visible_obj¶: Get the visible_obj value.

Examples using `visbrain.objects.ColorbarObj`¶

Brain object (BrainObj) : complete tutorial¶

Image, time-frequency map and spectrogram objects¶

Region Of Interest object (RoiObj) : complete tutorial¶

Source object (SourceObj) : complete tutorial¶

Topoplot object (TopoObj) : complete tutorial¶

visbrain.objects.ColorbarObj¶

Examples using visbrain.objects.ColorbarObj¶

Examples using `visbrain.objects.ColorbarObj`¶