Python graphs_instanciate_features Examples

Example #1

File: ontology.py Project: pgunn/CATMAID

def get_by_graphs_instantiated_features(graphs, features):
    # Needs to be imported locally to avoid circular dependencies
    from catmaid.control.classification import graphs_instanciate_features
    matrix = np.zeros((len(graphs),len(features)), dtype=np.int)
    graphs_instanciate_features(graphs, features, matrix)
    # Find features that are instantiated
    used_features = set()
    for ng,g in enumerate(graphs):
        for nf,f in enumerate(features):
            if 1 == matrix[ng][nf]:
                used_features.add(f)

    return list(used_features)

Example #2

File: clustering.py Project: catmaid/CATMAID

def create_binary_matrix(graphs, features):
    """ Creates a binary matrix for the graphs passed."""
    matrix = np.zeros((len(graphs),len(features)), dtype=np.int)
    return graphs_instanciate_features(graphs, features, matrix)

Example #3

File: clustering.py Project: calleschulers/CATMAID

def create_binary_matrix(graphs, features):
    """ Creates a binary matrix for the graphs passed."""
    matrix = np.zeros((len(graphs), len(features)), dtype=np.int)
    return graphs_instanciate_features(graphs, features, matrix)