topology

Boundary

arrows = None instance-attribute

connections = None instance-attribute

hist = [] instance-attribute

ids = np.array(ids) instance-attribute

index = 0 instance-attribute

label = '' instance-attribute

period = 0 instance-attribute

points = np.array(points[ids]).astype(float) instance-attribute

projection = None instance-attribute

scalars = np.array(scalars[ids]) instance-attribute

section_count = 12 instance-attribute

sections = None instance-attribute

__init__(ids, points, scalars)

build_sections(t=0, period=-1, amount=12, geo_center=np.zeros(3))

calc_index(period)

Given an array of edges ex [1, 1, 1, -1, 0, 1, 1, -1, -1] between sections, calculate the sum of phase differences between each two consecutive lats

extend(points, triangles, scalars, distance=0)

get_arrows_object()

Get edge visualization around a boundary with arrows colored by direction. Clockwise, counterclockwise or neutral.

Returns:

Name	Type	Description
list	EdgeBuilder	List of arrows

get_center()

get_label_object()

reduce(distance=5)

set_period(period)

to_single_scalars(t=0)

Convert irregular data to single LATs For each node keeping the first LAT after time t

BoundaryFilter

Bases: PolydataFilter

get_boundaries(coords, triangles, scalars, min_points=3) staticmethod

label(boundaries, maptype) staticmethod

Automatic labeling of anatomical boundaries based on default orientation of CARTO and Rhythmia exported data. The three largest boundaries are labeled "MV", "LPV" and "RPV". Any remaining boundaries are labeled "scar".

Parameters:

Name	Type	Description	Default
boundaries	list[Boundary]	List of boundaries to label.	required
maptype	str	Mapping system. Options are "carto" or "rhythmia".	required