pymaid.LandmarkMatcher

class pymaid.LandmarkMatcher(landmarks: DataFrame, landmark_locations: DataFrame, groups: DataFrame, group_locations: DataFrame, group_members: dict[int, Iterable[int]])

Class for finding matching pairs of landmark locations between two groups.

For example, find control points for transforming neurons left to right or between segments.

Prefer constructing with .from_catmaid() where possible.

Parameters:

• landmarks (pd.DataFrame) – Landmarks dataframe: see first output of get_landmarks for details.

• landmark_locations (pd.DataFrame) – Landmark locations dataframe: see second (optional) output of get_landmarks.

• groups (pd.DataFrame) – Groups dataframe: see first output of get_landmark_groups for details.

• group_locations (pd.DataFrame) – Group locations dataframe: see second (optional) output of get_landmark_groups for details.

• group_members (dict[int, tp.Iterable[int]]) – Group members: see third (optional) output of get_landmark_groups for details.

__init__(landmarks: DataFrame, landmark_locations: DataFrame, groups: DataFrame, group_locations: DataFrame, group_members: dict[int, Iterable[int]])

Prefer constructing with .from_catmaid() where possible.

Parameters:

• landmarks (pd.DataFrame) – Landmarks dataframe: see first output of get_landmarks for details.

• landmark_locations (pd.DataFrame) – Landmark locations dataframe: see second (optional) output of get_landmarks.

• groups (pd.DataFrame) – Groups dataframe: see first output of get_landmark_groups for details.

• group_locations (pd.DataFrame) – Group locations dataframe: see second (optional) output of get_landmark_groups for details.

• group_members (dict[int, tp.Iterable[int]]) – Group members: see third (optional) output of get_landmark_groups for details.

Methods

__init__(landmarks, landmark_locations, ...)	Prefer constructing with .from_catmaid() where possible.
from_catmaid([remote_instance])	Instantiate from a CatmaidInstance.
match(group1, group2)	Get matching pairs of landmarks for two groups.