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graph

A module for visualising ontologies using graphviz.

OntoGraph

Class for visualising an ontology.

Parameters

ontology : ontopy.Ontology instance Ontology to visualize. root : None | graph.ALL | string | owlready2.ThingClass instance Name or owlready2 entity of root node to plot subgraph below. If root is graph.ALL, all classes will be included in the subgraph. leafs : None | sequence A sequence of leaf node names for generating sub-graphs. entities : None | sequence A sequence of entities to add to the graph. relations : "all" | str | None | sequence Sequence of relations to visualise. If "all", means to include all relations. style : None | dict | "default" A dict mapping the name of the different graphical elements to dicts of dot graph attributes. Supported graphical elements include: - graphtype : "Digraph" | "Graph" - graph : graph attributes (G) - class : nodes for classes (N) - root : additional attributes for root nodes (N) - leaf : additional attributes for leaf nodes (N) - defined_class : nodes for defined classes (N) - class_construct : nodes for class constructs (N) - individual : nodes for invididuals (N) - object_property : nodes for object properties (N) - data_property : nodes for data properties (N) - annotation_property : nodes for annotation properties (N) - added_node : nodes added because addnodes is true (N) - isA : edges for isA relations (E) - not : edges for not class constructs (E) - equivalent_to : edges for equivalent_to relations (E) - disjoint_with : edges for disjoint_with relations (E) - inverse_of : edges for inverse_of relations (E) - default_relation : default edges relations and restrictions (E) - relations : dict of styles for different relations (E) - inverse : default edges for inverse relations (E) - default_dataprop : default edges for data properties (E) - nodes : attribute for individual nodes (N) - edges : attribute for individual edges (E) If style is None or "default", the default style is used. See https://www.graphviz.org/doc/info/attrs.html edgelabels : bool | dict Whether to add labels to the edges of the generated graph. It is also possible to provide a dict mapping the full labels (with cardinality stripped off for restrictions) to some abbriviations. addnodes : bool Whether to add missing target nodes in relations. addconstructs : bool Whether to add nodes representing class constructs. included_namespaces : sequence In combination with root, only include classes with one of the listed namespaces. If empty (the default), nothing is excluded. included_ontologies : sequence In combination with root, only include classes defined in one of the listed ontologies. If empty (default), nothing is excluded. parents : int Include parents levels of parents. excluded_nodes : None | sequence Sequence of labels of nodes to exclude. graph : None | pydot.Dot instance Graphviz Digraph object to plot into. If None, a new graph object is created using the keyword arguments. imported : bool Whether to include imported classes if entities is None. kwargs : Passed to graphviz.Digraph.

add_branch(self, root, leafs=None, include_leafs=True, strict_leafs=False, exclude=None, relations='isA', edgelabels=True, addnodes=False, addconstructs=False, included_namespaces=(), included_ontologies=(), include_parents='closest', **attrs)

Adds branch under root ending at any entiry included in the sequence leafs. If include_leafs is true, leafs classes are also included.

Source code in ontopy/graph.py
def add_branch(self, root, leafs=None, include_leafs=True,
               strict_leafs=False, exclude=None, relations='isA',
               edgelabels=True, addnodes=False, addconstructs=False,
               included_namespaces=(), included_ontologies=(),
               include_parents='closest', **attrs):
    """Adds branch under `root` ending at any entiry included in the
    sequence `leafs`.  If `include_leafs` is true, leafs classes are
    also included."""
    if leafs is None:
        leafs = ()

    classes = self.ontology.get_branch(
        root=root, leafs=leafs, include_leafs=include_leafs,
        strict_leafs=strict_leafs, exclude=exclude)

    classes = filter_classes(
        classes,
        included_namespaces=included_namespaces,
        included_ontologies=included_ontologies)

    nodeattrs = {}
    nodeattrs[get_label(root)] = self.style.get('root', {})
    for leaf in leafs:
        nodeattrs[get_label(leaf)] = self.style.get('leaf', {})

    self.add_entities(
        entities=classes,
        relations=relations, edgelabels=edgelabels,
        addnodes=addnodes, addconstructs=addconstructs,
        nodeattrs=nodeattrs, **attrs)

    parents = self.ontology.get_ancestors(classes, include=include_parents,
                                          strict=True)
    if parents:
        for parent in parents:
            nodeattrs[
                    get_label(parent)] = self.style.get('parent_node', {})
        self.add_entities(
            entities=parents,
            relations=relations, edgelabels=edgelabels,
            addnodes=addnodes, addconstructs=addconstructs,
            nodeattrs=nodeattrs, **attrs)

add_class_construct(self, c)

Adds class construct c and return its label.

Source code in ontopy/graph.py
def add_class_construct(self, c):
    """Adds class construct `c` and return its label."""
    self.add_node(c, **self.style.get('class_construct', {}))
    label = get_label(c)
    if isinstance(c, owlready2.Or):
        for cls in c.Classes:
            clslabel = get_label(cls)
            if clslabel not in self.nodes and self.addnodes:
                self.add_node(cls)
            if clslabel in self.nodes:
                self.add_edge(get_label(cls), 'isA', label)
    elif isinstance(c, owlready2.And):
        for cls in c.Classes:
            clslabel = get_label(cls)
            if clslabel not in self.nodes and self.addnodes:
                self.add_node(cls)
            if clslabel in self.nodes:
                self.add_edge(label, 'isA', get_label(cls))
    elif isinstance(c, owlready2.Not):
        clslabel = get_label(c.Class)
        if clslabel not in self.nodes and self.addnodes:
            self.add_node(c.Class)
        if clslabel in self.nodes:
            self.add_edge(clslabel, 'not', label)
    # Neither and nor inverse constructs are
    return label

add_edge(self, subject, predicate, object, edgelabel=None, **attrs)

Add edge corresponding for (subject, predicate, object) triplet.

Source code in ontopy/graph.py
def add_edge(self, subject, predicate, object, edgelabel=None, **attrs):
    """Add edge corresponding for ``(subject, predicate, object)``
    triplet."""
    subject = subject if isinstance(subject, str) else get_label(subject)
    predicate = predicate if isinstance(predicate, str) else get_label(
        predicate)
    object = object if isinstance(object, str) else get_label(object)
    if subject in self.excluded_nodes or object in self.excluded_nodes:
        return
    if not isinstance(subject, str) or not isinstance(object, str):
        raise TypeError('`subject` and `object` must be strings')
    if subject not in self.nodes:
        raise RuntimeError('`subject` "%s" must have been added' % subject)
    if object not in self.nodes:
        raise RuntimeError('`object` "%s" must have been added' % object)
    key = (subject, predicate, object)
    if key not in self.edges:
        if edgelabel is None:
            edgelabel = self.edgelabels

        if isinstance(edgelabel, str):
            label = edgelabel
        if isinstance(edgelabel, dict):
            label = edgelabel.get(predicate, predicate)
        elif edgelabel:
            label = predicate
        else:
            label = None

        kw = self.get_edge_attrs(predicate, attrs=attrs)
        self.dot.edge(subject, object, label=label, **kw)
        self.edges.add(key)

add_edges(self, sources=None, relations=None, edgelabels=None, addnodes=None, addconstructs=None, **attrs)

Adds all relations originating from entities sources who's type are listed in relations. If sources is None, edges are added between all current nodes.

Source code in ontopy/graph.py
def add_edges(self, sources=None, relations=None, edgelabels=None,
              addnodes=None, addconstructs=None, **attrs):
    """Adds all relations originating from entities `sources` who's type
    are listed in `relations`.  If `sources` is None, edges are added
    between all current nodes."""
    if sources is None:
        sources = self.nodes
    for source in sources.copy():
        self.add_source_edges(
            source, relations=relations, edgelabels=edgelabels,
            addnodes=addnodes, addconstructs=addconstructs, **attrs)

add_entities(self, entities=None, relations='isA', edgelabels=True, addnodes=False, addconstructs=False, nodeattrs=None, **attrs)

Adds a sequence of entities to the graph. If entities is None, all classes are added to the graph.

nodeattrs is a dict mapping node names to are attributes for dedicated nodes.

Source code in ontopy/graph.py
def add_entities(self, entities=None, relations='isA', edgelabels=True,
                 addnodes=False, addconstructs=False,
                 nodeattrs=None, **attrs):
    """Adds a sequence of entities to the graph.  If `entities` is None,
    all classes are added to the graph.

    `nodeattrs` is a dict mapping node names to are attributes for
    dedicated nodes.
    """
    if entities is None:
        entities = self.ontology.classes(imported=self.imported)
    self.add_nodes(entities, nodeattrs=nodeattrs, **attrs)
    self.add_edges(
        relations=relations, edgelabels=edgelabels,
        addnodes=addnodes, addconstructs=addconstructs, **attrs)

add_legend(self, relations=None)

Adds legend for specified relations to the graph.

If relations is "all", the legend will contain all relations that are defined in the style. By default the legend will only contain relations that are currently included in the graph.

Hence, you usually want to call add_legend() as the last method before saving or displaying.

Source code in ontopy/graph.py
def add_legend(self, relations=None):
    """Adds legend for specified relations to the graph.

    If `relations` is "all", the legend will contain all relations
    that are defined in the style.  By default the legend will
    only contain relations that are currently included in the
    graph.

    Hence, you usually want to call add_legend() as the last method
    before saving or displaying.
    """
    rels = self.style.get('relations', {})
    if relations is None:
        relations = self.get_relations(sort=True)
    elif relations == 'all':
        relations = ['isA'] + list(rels.keys()) + ['inverse']
    elif isinstance(relations, str):
        relations = relations.split(',')

    n = len(relations)
    if n == 0:
        return

    t = ('<<table border="0" cellpadding="2" cellspacing="0" '
         'cellborder="0">')
    label1 = [t]
    label2 = [t]
    for i, r in enumerate(relations):
        label1.append(
            '<tr><td align="right" port="i%d">%s</td></tr>' % (i, r))
        label2.append('<tr><td port="i%d">&nbsp;</td></tr>' % i)
    label1.append('</table>>')
    label2.append('</table>>')
    self.dot.node('key1', label='\n'.join(label1), shape='plaintext')
    self.dot.node('key2', label='\n'.join(label2), shape='plaintext')

    rankdir = self.dot.graph_attr.get('rankdir', 'TB')
    constraint = 'false' if rankdir in ('TB', 'BT') else 'true'
    inv = True if rankdir in ('BT', ) else False

    for i in range(n):
        r = relations[n - 1 - i] if inv else relations[i]
        if r == 'inverse':
            kw = self.style.get('inverse', {}).copy()
        else:
            kw = self.get_edge_attrs(r, {}).copy()
        kw['constraint'] = constraint
        with self.dot.subgraph(name='sub%d' % i) as s:
            s.attr(rank='same')
            if rankdir in ('BT', 'LR'):
                self.dot.edge('key1:i%d:e' % i, 'key2:i%d:w' % i, **kw)
            else:
                self.dot.edge('key2:i%d:w' % i, 'key1:i%d:e' % i, **kw)

add_missing_node(self, name, addnodes=None)

Checks if name corresponds to a missing node and add it if addnodes is true.

Returns true if the node exists or is added, false otherwise.

Source code in ontopy/graph.py
def add_missing_node(self, name, addnodes=None):
    """Checks if `name` corresponds to a missing node and add it if
    `addnodes` is true.

    Returns true if the node exists or is added, false otherwise."""
    addnodes = self.addnodes if addnodes is None else addnodes
    e = self.ontology[name] if isinstance(name, str) else name
    label = get_label(e)
    if label not in self.nodes:
        if addnodes:
            self.add_node(e, **self.style.get('added_node', {}))
        else:
            return False
    return True

add_node(self, name, nodeattrs=None, **attrs)

Add node with given name. attrs are graphviz node attributes.

Source code in ontopy/graph.py
def add_node(self, name, nodeattrs=None, **attrs):
    """Add node with given name. `attrs` are graphviz node attributes."""
    e = self.ontology[name] if isinstance(name, str) else name
    label = get_label(e)
    if label not in self.nodes.union(self.excluded_nodes):
        kw = self.get_node_attrs(e, nodeattrs=nodeattrs, attrs=attrs)
        if hasattr(e, 'iri'):
            kw.setdefault('URL', e.iri)
        self.dot.node(label, label=label, **kw)
        self.nodes.add(label)

add_nodes(self, names, nodeattrs, **attrs)

Add nodes with given names. attrs are graphviz node attributes.

Source code in ontopy/graph.py
def add_nodes(self, names, nodeattrs, **attrs):
    """Add nodes with given names. `attrs` are graphviz node attributes."""
    for name in names:
        self.add_node(name, nodeattrs=nodeattrs, **attrs)

add_parents(self, name, levels=1, relations='isA', edgelabels=None, addnodes=False, addconstructs=False, **attrs)

Add levels levels of strict parents of entity name.

Source code in ontopy/graph.py
def add_parents(self, name, levels=1, relations='isA',
                edgelabels=None, addnodes=False, addconstructs=False,
                **attrs):
    """Add `levels` levels of strict parents of entity `name`."""
    def addparents(e, n, s):
        if n > 0:
            for p in e.get_parents(strict=True):
                s.add(p)
                addparents(p, n - 1, s)
    e = self.ontology[name] if isinstance(name, str) else name
    parents = set()
    addparents(e, levels, parents)
    self.add_entities(
        entities=parents,
        relations=relations, edgelabels=edgelabels,
        addnodes=addnodes, addconstructs=addconstructs, **attrs)

add_source_edges(self, source, relations=None, edgelabels=None, addnodes=None, addconstructs=None, **attrs)

Adds all relations originating from entity source who's type are listed in relations.

Source code in ontopy/graph.py
def add_source_edges(self, source, relations=None, edgelabels=None,
                     addnodes=None, addconstructs=None, **attrs):
    """Adds all relations originating from entity `source` who's type
    are listed in `relations`."""
    if relations is None:
        relations = self.relations
    elif isinstance(relations, str):
        relations = set([relations])
    else:
        relations = set(relations)

    edgelabels = self.edgelabels if edgelabels is None else edgelabels
    addconstructs = (
        self.addconstructs if addconstructs is None else addconstructs)

    e = self.ontology[source] if isinstance(source, str) else source
    label = get_label(e)
    for r in e.is_a:

        # isA
        if isinstance(r, (owlready2.ThingClass,
                          owlready2.ObjectPropertyClass)):
            if 'all' in relations or 'isA' in relations:
                rlabel = get_label(r)
                # FIXME - we actually want to include individuals...
                if isinstance(e, owlready2.Thing):
                    continue
                if r not in e.get_parents(strict=True):
                    continue
                if not self.add_missing_node(r, addnodes=addnodes):
                    continue
                self.add_edge(
                    subject=label, predicate='isA', object=rlabel,
                    edgelabel=edgelabels, **attrs)

        # restriction
        elif isinstance(r, owlready2.Restriction):
            rname = get_label(r.property)
            if 'all' in relations or rname in relations:
                rlabel = '%s %s' % (rname, typenames[r.type])
                if isinstance(r.value, owlready2.ThingClass):
                    obj = get_label(r.value)
                    if not self.add_missing_node(r.value, addnodes):
                        continue
                elif (isinstance(r.value, owlready2.ClassConstruct) and
                      self.addconstructs):
                    obj = self.add_class_construct(r.value)
                else:
                    continue
                pred = asstring(r, exclude_object=True)
                self.add_edge(label, pred, obj, edgelabel=edgelabels,
                              **attrs)

        # inverse
        if isinstance(r, owlready2.Inverse):
            if 'all' in relations or 'inverse' in relations:
                rlabel = get_label(r)
                if not self.add_missing_node(r, addnodes=addnodes):
                    continue
                if r not in e.get_parents(strict=True):
                    continue
                self.add_edge(
                    subject=label, predicate='inverse', object=rlabel,
                    edgelabel=edgelabels, **attrs)

get_edge_attrs(self, predicate, attrs)

Returns attributes for node or edge name. attrs overrides the default style.

Source code in ontopy/graph.py
def get_edge_attrs(self, predicate, attrs):
    """Returns attributes for node or edge `name`.  `attrs` overrides
    the default style."""
    # given type
    types = ('isA', 'equivalent_to', 'disjoint_with', 'inverse_of')
    if predicate in types:
        kw = self.style.get(predicate, {}).copy()
    else:
        kw = {}
        name = predicate.split(None, 1)[0]
        m = re.match(r'Inverse\((.*)\)', name)
        if m:
            name, = m.groups()
            attrs = attrs.copy()
            for k, v in self.style.get('inverse', {}).items():
                attrs.setdefault(k, v)
        if not isinstance(name, str) or name in self.ontology:
            e = self.ontology[name] if isinstance(name, str) else name
            relations = self.style.get('relations', {})
            rels = set(self.ontology[r] for r in relations.keys()
                       if r in self.ontology)
            for r in e.mro():
                if r in rels:
                    break
            rattrs = relations[get_label(r)] if r in rels else {}
            # object property
            if isinstance(e, (owlready2.ObjectPropertyClass,
                              owlready2.ObjectProperty)):
                kw = self.style.get('default_relation', {}).copy()
                kw.update(rattrs)
            # data property
            elif isinstance(e, (owlready2.DataPropertyClass,
                                owlready2.DataProperty)):
                kw = self.style.get('default_dataprop', {}).copy()
                kw.update(rattrs)
            else:
                raise TypeError('Unknown entity type: %r' % e)
    kw.update(self.style.get('edges', {}).get(predicate, {}))
    kw.update(attrs)
    return kw

get_figsize(self)

Returns the default figure size (width, height) in points.

Source code in ontopy/graph.py
def get_figsize(self):
    """Returns the default figure size (width, height) in points."""
    with tempfile.TemporaryDirectory() as tmpdir:
        tmpfile = os.path.join(tmpdir, 'graph.svg')
        self.save(tmpfile)
        xml = ET.parse(tmpfile)
        svg = xml.getroot()
        width = svg.attrib['width']
        height = svg.attrib['height']
        assert width.endswith('pt')  # ensure that units are in points

        def asfloat(s):
            return float(re.match(r'^[\d.]+', s).group())
    return asfloat(width), asfloat(height)

get_node_attrs(self, name, nodeattrs, attrs)

Returns attributes for node or edge name. attrs overrides the default style.

Source code in ontopy/graph.py
def get_node_attrs(self, name, nodeattrs, attrs):
    """Returns attributes for node or edge `name`.  `attrs` overrides
    the default style."""
    e = self.ontology[name] if isinstance(name, str) else name
    label = get_label(e)
    # class
    if isinstance(e, owlready2.ThingClass):
        if self.ontology.is_defined(e):
            kw = self.style.get('defined_class', {})
        else:
            kw = self.style.get('class', {})
    # class construct
    elif isinstance(e, owlready2.ClassConstruct):
        kw = self.style.get('class_construct', {})
    # individual
    elif isinstance(e, owlready2.Thing):
        kw = self.style.get('individual', {})
    # object property
    elif isinstance(e, owlready2.ObjectPropertyClass):
        kw = self.style.get('object_property', {})
    # data property
    elif isinstance(e, owlready2.DataPropertyClass):
        kw = self.style.get('data_property', {})
    # annotation property
    elif isinstance(e, owlready2.AnnotationPropertyClass):
        kw = self.style.get('annotation_property', {})
    else:
        raise TypeError('Unknown entity type: %r' % e)
    kw = kw.copy()
    kw.update(self.style.get('nodes', {}).get(label, {}))
    if nodeattrs:
        kw.update(nodeattrs.get(label, {}))
    kw.update(attrs)
    return kw

get_relations(self, sort=True)

Returns a set of relations in current graph. If sort is true, a sorted list is returned.

Source code in ontopy/graph.py
def get_relations(self, sort=True):
    """Returns a set of relations in current graph.  If `sort` is true,
    a sorted list is returned."""
    relations = set()
    for s, p, o in self.edges:
        if p.startswith('Inverse'):
            relations.add('inverse')
            m = re.match(r'Inverse\((.+)\)', p)
            assert m
            relations.add(m.groups()[0])
        else:
            relations.add(p.split(None, 1)[0])

    # Sort, but place 'isA' first and 'inverse' last
    if sort:
        start, end = [], []
        if 'isA' in relations:
            relations.remove('isA')
            start.append('isA')
        if 'inverse' in relations:
            relations.remove('inverse')
            end.append('inverse')
        relations = start + sorted(relations) + end

    return relations

save(self, filename, format=None, **kwargs)

Saves graph to filename. If format is not given, it is inferred from filename.

Source code in ontopy/graph.py
def save(self, filename, format=None, **kwargs):
    """Saves graph to `filename`.  If format is not given, it is
    inferred from `filename`."""
    base, ext = os.path.splitext(filename)
    if format is None:
        format = ext.lstrip('.')
    kwargs.setdefault('cleanup', True)
    if format in ('graphviz', 'gv'):
        if 'dictionary' in kwargs:
            self.dot.save(filename, dictionary=kwargs['dictionary'])
        else:
            self.dot.save(filename)
    else:
        self.dot.render(base, format=format, **kwargs)

view(self)

Shows the graph in a viewer.

Source code in ontopy/graph.py
def view(self):
    """Shows the graph in a viewer."""
    self.dot.view(cleanup=True)

check_module_dependencies(modules, verbose=True)

Check module dependencies and return a copy of modules with redundant dependencies removed.

If verbose is true, warnings are printed for each module that

If modules is given, it should be a dict returned by get_module_dependencies().

Source code in ontopy/graph.py
def check_module_dependencies(modules, verbose=True):
    """Check module dependencies and return a copy of modules with
    redundant dependencies removed.

    If `verbose` is true, warnings are printed for each module that

    If `modules` is given, it should be a dict returned by
    get_module_dependencies().
    """
    visited = set()

    def get_deps(iri, excl=None):
        """Returns a set with all dependencies of `iri`, excluding `excl` and
        its dependencies."""
        if iri in visited:
            return set()
        visited.add(iri)
        deps = set()
        for d in modules[iri]:
            if d != excl:
                deps.add(d)
                deps.update(get_deps(d))
        return deps

    mods = {}
    redundant = []
    for iri, deps in modules.items():
        if not deps:
            mods[iri] = set()
        for dep in deps:
            if dep in get_deps(iri, dep):
                redundant.append((iri, dep))
            elif iri in mods:
                mods[iri].add(dep)
            else:
                mods[iri] = set([dep])

    if redundant and verbose:
        print('** Warning: Redundant module dependency:')
        for iri, dep in redundant:
            print('%s -> %s' % (iri, dep))

    return mods

cytoscapegraph(graph, onto=None, infobox=None, style=None)

Returns and instance of icytoscape-figure for an instance Graph of OntoGraph, the accomanying ontology is required for mouse actions

Source code in ontopy/graph.py
def cytoscapegraph(graph, onto=None, infobox=None, style=None):
    """Returns and instance of icytoscape-figure for an
    instance Graph of OntoGraph, the accomanying ontology
    is required for mouse actions"""

    from ipywidgets import Output, VBox, GridspecLayout
    from IPython.display import display, Image
    from pathlib import Path
    import networkx as nx
    import pydotplus
    import ipycytoscape
    from networkx.readwrite.json_graph import cytoscape_data
    # Define the styles, this has to be aligned with the graphviz values
    dotplus = pydotplus.graph_from_dot_data(graph.dot.source)
    # if graph doesn't have multiedges, use dotplus.set_strict(true)
    G = nx.nx_pydot.from_pydot(dotplus)

    colours, styles, fill = cytoscape_style()

    data = cytoscape_data(G)['elements']
    for d in data['edges']:
        d['data']['label'] = d['data']['label'].rsplit(' ', 1)[0].lstrip('"')
        lab = d['data']['label'].replace('Inverse(', '').rstrip(')')
        try:
            d['data']['colour'] = colours[lab]
        except KeyError:
            d['data']['colour'] = 'black'
        try:
            d['data']['style'] = styles[lab]
        except KeyError:
            d['data']['style'] = 'solid'
        if d['data']['label'].startswith('Inverse('):
            d['data']['targetarrow'] = 'diamond'
            d['data']['sourcearrow'] = 'none'
        else:
            d['data']['targetarrow'] = 'triangle'
            d['data']['sourcearrow'] = 'none'
        try:
            d['data']['fill'] = fill[lab]
        except KeyError:
            d['data']['fill'] = 'filled'

    cytofig = ipycytoscape.CytoscapeWidget()
    cytofig.graph.add_graph_from_json(data, directed=True)

    cytofig.set_style([
        {
            'selector': 'node',
            'css': {
                'content': 'data(label)',
                # 'text-valign': 'center',
                # 'color': 'white',
                # 'text-outline-width': 2,
                # 'text-outline-color': 'red',
                'background-color': 'blue'
            },
        },
        {
            'selector': 'node:parent',
            'css': {'background-opacity': 0.333}
        },
        {
            'selector': 'edge',
            'style': {'width': 2,
                      'line-color': 'data(colour)',
                      # 'content': 'data(label)',
                      'line-style': 'data(style)'}
        },
        {
            'selector': 'edge.directed',
            'style': {
                'curve-style': 'bezier',
                'target-arrow-shape': 'data(targetarrow)',
                'target-arrow-color': 'data(colour)',
                'target-arrow-fill': 'data(fill)',
                'mid-source-arrow-shape': 'data(sourcearrow)',
                'mid-source-arrow-color': 'data(colour)'
            },
        },
        {
            'selector': 'edge.multiple_edges',
            'style': {'curve-style': 'bezier'}
        },
        {
            'selector': ':selected',
            'css': {
                'background-color': 'black',
                'line-color': 'black',
                'target-arrow-color': 'black',
                'source-arrow-color': 'black',
                'text-outline-color': 'black'
            },
        },
    ])

    if onto is not None:
        out = Output(layout={'border': '1px solid black'})

        def log_clicks(node):
            with out:
                print((onto.get_by_label(node["data"]["label"])))
                p = onto.get_by_label(node["data"]["label"]).get_parents()
                print(f'parents: {p}')
                try:
                    elucidation = onto.get_by_label(
                        node["data"]["label"]).elucidation
                    print(f'elucidation: {elucidation[0]}')
                except (AttributeError, IndexError):
                    pass

                try:
                    annotations = onto.get_by_label(
                        node["data"]["label"]).annotations
                    for e in annotations:
                        print(f'annotation: {e}')
                except AttributeError:
                    pass

                # Try does not work...
                try:
                    iri = onto.get_by_label(
                            node["data"]["label"]).iri
                    print(f'iri: {iri}')
                except Exception:
                    pass
                try:
                    fig = node["data"]["label"]
                    if os.path.exists(Path(fig+'.png')):
                        display(Image(fig+'.png', width=100))
                    elif os.path.exists(Path(fig+'.jpg')):
                        display(Image(fig+'.jpg', width=100))
                except Exception:  # FIXME: make this more specific
                    pass
                out.clear_output(wait=True)

        def log_mouseovers(node):
            with out:
                print(onto.get_by_label(node["data"]["label"]))
                # print(f'mouseover: {pformat(node)}')
            out.clear_output(wait=True)

        cytofig.on('node', 'click', log_clicks)
        cytofig.on('node', 'mouseover', log_mouseovers)  # , remove=True)
        cytofig.on('node', 'mouseout', out.clear_output(wait=True))
        grid = GridspecLayout(1, 3, height='400px')
        if infobox == 'left':
            grid[0, 0] = out
            grid[0, 1:] = cytofig
        elif infobox == 'right':
            grid[0, 0:-1] = cytofig
            grid[0, 2] = out
        else:
            return VBox([cytofig, out])
        return grid

    return cytofig

filter_classes(classes, included_namespaces=(), included_ontologies=())

Filter out classes whos namespace is not in included_namespaces or whos ontology name is not in one of the ontologies in included_ontologies.

classes should be a sequence of classes.

Source code in ontopy/graph.py
def filter_classes(classes, included_namespaces=(), included_ontologies=()):
    """Filter out classes whos namespace is not in `included_namespaces`
    or whos ontology name is not in one of the ontologies in
    `included_ontologies`.

    `classes` should be a sequence of classes.
    """
    filtered = set(classes)
    if included_namespaces:
        filtered = set(c for c in filtered
                       if c.namespace.name in included_namespaces)
    if included_ontologies:
        filtered = set(c for c in filtered
                       if c.namespace.ontology.name in included_ontologies)
    return filtered

get_module_dependencies(iri_or_onto, strip_base=None)

Reads iri_or_onto and returns a dict mapping ontology names to a list of ontologies that they depends on.

If strip_base is true, the base IRI is stripped from ontology names. If it is a string, it lstrip'ped from the base iri.

Source code in ontopy/graph.py
def get_module_dependencies(iri_or_onto, strip_base=None):
    """Reads `iri_or_onto` and returns a dict mapping ontology names to a
    list of ontologies that they depends on.

    If `strip_base` is true, the base IRI is stripped from ontology
    names.  If it is a string, it lstrip'ped from the base iri.
    """
    if isinstance(iri_or_onto, str):
        onto = get_ontology(iri_or_onto)
        onto.load()
    else:
        onto = iri_or_onto

    modules = {onto.base_iri: set()}

    def strip(base_iri):
        if isinstance(strip_base, str):
            return base_iri.lstrip(strip_base)
        elif strip_base:
            return base_iri.strip(onto.base_iri)
        else:
            return base_iri

    visited = set()

    def setmodules(onto):
        for o in onto.imported_ontologies:
            if onto.base_iri in modules:
                modules[strip(onto.base_iri)].add(strip(o.base_iri))
            else:
                modules[strip(onto.base_iri)] = set([strip(o.base_iri)])
            if o.base_iri not in modules:
                modules[strip(o.base_iri)] = set()
            if o not in visited:
                visited.add(o)
                setmodules(o)

    setmodules(onto)
    return modules

plot_modules(src, filename=None, format=None, show=False, strip_base=None, ignore_redundant=True)

Plot module dependency graph for src and return a graph object.

Here src may be an IRI, a path the the ontology or a dict returned by get_module_dependencies().

If filename is given, write the graph to this file.

If format is None, the output format is inferred from filename.

If show is true, the graph is displayed.

strip_base is passed on to get_module_dependencies() if src is not a dict.

If ignore_redundant is true, redundant dependencies are not plotted.

Source code in ontopy/graph.py
def plot_modules(src, filename=None, format=None, show=False,
                 strip_base=None, ignore_redundant=True):
    """Plot module dependency graph for `src` and return a graph object.

    Here `src` may be an IRI, a path the the ontology or a dict returned by
    get_module_dependencies().

    If `filename` is given, write the graph to this file.

    If `format` is None, the output format is inferred from `filename`.

    If `show` is true, the graph is displayed.

    `strip_base` is passed on to get_module_dependencies() if `src` is not
    a dict.

    If `ignore_redundant` is true, redundant dependencies are not plotted.
    """
    if isinstance(src, dict):
        modules = src
    else:
        modules = get_module_dependencies(src, strip_base=strip_base)

    if ignore_redundant:
        modules = check_module_dependencies(modules, verbose=False)

    dot = graphviz.Digraph(comment='Module dependencies')
    dot.attr(rankdir='TB')
    dot.node_attr.update(style='filled', fillcolor='lightblue', shape='box',
                         edgecolor='blue')
    dot.edge_attr.update(arrowtail='open', dir='back')

    for iri in modules.keys():
        iriname = iri.split(':', 1)[1]
        dot.node(iriname, label=iri, URL=iri)

    for iri, deps in modules.items():
        for dep in deps:
            iriname = iri.split(':', 1)[1]
            depname = dep.split(':', 1)[1]
            dot.edge(depname, iriname)

    if filename:
        base, ext = os.path.splitext(filename)
        if format is None:
            format = ext.lstrip('.')
        dot.render(base, format=format, view=False, cleanup=True)

    if show:
        dot.view(cleanup=True)

    return dot
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