py_eddy_tracker.observations.network.Network

class py_eddy_tracker.observations.network.Network(input_regex, window=5, intern=False, memory=False)

Bases: object

Class to group observations by network

Methods

build_dataset
from_eddiesobservations
get_group_array	With a loop on all pair of index, we will label each obs with a group number
group_observations	Store every interaction between identifications
group_translator	Create a translator with all duos

Attributes

window
filenames
nb_input
buffer
memory
NOGROUP

NOGROUP = 0

buffer

build_dataset(group, raw_data=True)

filenames

classmethod from_eddiesobservations(observations, *args, **kwargs)

get_group_array(results, nb_obs)

With a loop on all pair of index, we will label each obs with a group number

group_observations(min_overlap=0.2, minimal_area=False, **kwargs)

Store every interaction between identifications

Parameters:

• minimal_area (bool) – If True, function will compute intersection/little polygon, else intersection/union, by default False

• min_overlap (float) – minimum overlap area to associate observations, by default 0.2

Returns:

Return type:

TrackEddiesObservations

static group_translator(nb, duos)

Create a translator with all duos

Parameters:

• nb (int) – size of translator

• duos (set((int, int))) – set of all groups that must be joined

Example:

>>> NetworkObservations.group_translator(5, ((0, 1), (0, 2), (1, 3)))
[3, 3, 3, 3, 5]

memory

nb_input

window