neuralib.dashboard.view_brain.AtlasBrainView

class neuralib.dashboard.view_brain.AtlasBrainView[source]

Bases: AbstractBrainView

__init__(source, check_latest=False, plane='coronal')[source]

Parameters:

source (str)
plane (Literal['coronal', 'sagittal', 'transverse'])

Methods

`__init__`(source[, check_latest, plane])
`brain_slice`(offset)
`gen_offset_matrix`(h, v)
`list_renders`([pattern, recursive])	list all renders for those name contain pattern.
`plot`(fig[, palette])	plot data in figure.
`set_visible`(visible[, pattern])	Set the visible state of renders for those name contain pattern.
`update`([x, y])	update the plot

Attributes

`PLANE`
`brain_image`
`height`
`height_n`
`n_ap`
`n_dv`
`n_frame`
`n_ml`
`offset`
`offset_h`
`offset_matrix`
`offset_w`
`plane`
`width`
`width_n`
`data_brain_slice`
`render_brain_slice`

PLANE: alias of Literal[‘coronal’, ‘sagittal’, ‘transverse’]

__init__(source, check_latest=False, plane='coronal')[source]

Parameters:

source (str)
plane (Literal['coronal', 'sagittal', 'transverse'])

resolution: int

grid_x: ndarray

grid_y: ndarray

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

property offset: int

property offset_w: int

property offset_h: int

property offset_matrix: ndarray

gen_offset_matrix(h, v)[source]

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)[source]

Parameters:: offset (int | ndarray)
Return type:: ndarray

property brain_image: ndarray