neuralib.dashboard.view_brain.AtlasBrainView

class neuralib.dashboard.view_brain.AtlasBrainView

Bases: AbstractBrainView

PLANE

alias of Literal[‘coronal’, ‘sagittal’, ‘transverse’]

__init__(source, check_latest=False, plane='coronal')

Parameters:

• source (str)

• plane (Literal['coronal', 'sagittal', 'transverse'])

property n_ap: int

property n_dv: int

property n_ml: int

property plane: Literal['coronal', 'sagittal', 'transverse']

property n_frame: int

property width_n: int

property height_n: int

property width: float

property height: float

list_renders(pattern=None, recursive=False)

list all renders for those name contain pattern.

Parameters:

• pattern (str | None) – str in attribute name

• recursive (bool) – recursive find all renders from ViewComponent attributes.

Returns:

Return type:

list[GlyphRenderer]

plot(fig, palette='Greys256')

plot data in figure.

Parameters:

• fig (figure) – Figure.

• kwargs – plotting parameters.

set_visible(visible, pattern=None)

Set the visible state of renders for those name contain pattern. It is a recursive function that it also update the renders inside the ViewComponent attributes.

Parameters:

• visible (bool)

• pattern (str | None) – str in attribute name

update(x=0, y=0)

update the plot

Parameters:

• x (float)

• y (float)

data_brain_slice: ColumnDataSource

render_brain_slice: GlyphRenderer

property offset: int

property offset_w: int

property offset_h: int

property offset_matrix: ndarray

gen_offset_matrix(h, v)

Parameters:

• h (int) – horizontal plane diff to the center. right side positive.

• v (int) – vertical plane diff to the center. bottom side positive.

Returns:

(H, W) array

Return type:

ndarray

brain_slice(offset)

Parameters:

offset (int | ndarray)

Return type:

ndarray

property brain_image: ndarray