510 lines
15 KiB
Python
510 lines
15 KiB
Python
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"""
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***************
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Graphviz AGraph
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***************
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Interface to pygraphviz AGraph class.
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Examples
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--------
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>>> G = nx.complete_graph(5)
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>>> A = nx.nx_agraph.to_agraph(G)
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>>> H = nx.nx_agraph.from_agraph(A)
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See Also
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--------
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- Pygraphviz: http://pygraphviz.github.io/
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- Graphviz: https://www.graphviz.org
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- DOT Language: http://www.graphviz.org/doc/info/lang.html
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"""
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import os
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import tempfile
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import networkx as nx
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__all__ = [
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"from_agraph",
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"to_agraph",
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"write_dot",
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"read_dot",
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"graphviz_layout",
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"pygraphviz_layout",
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"view_pygraphviz",
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]
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def from_agraph(A, create_using=None):
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"""Returns a NetworkX Graph or DiGraph from a PyGraphviz graph.
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Parameters
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----------
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A : PyGraphviz AGraph
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A graph created with PyGraphviz
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create_using : NetworkX graph constructor, optional (default=None)
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Graph type to create. If graph instance, then cleared before populated.
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If `None`, then the appropriate Graph type is inferred from `A`.
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Examples
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--------
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>>> K5 = nx.complete_graph(5)
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>>> A = nx.nx_agraph.to_agraph(K5)
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>>> G = nx.nx_agraph.from_agraph(A)
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Notes
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-----
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The Graph G will have a dictionary G.graph_attr containing
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the default graphviz attributes for graphs, nodes and edges.
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Default node attributes will be in the dictionary G.node_attr
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which is keyed by node.
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Edge attributes will be returned as edge data in G. With
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edge_attr=False the edge data will be the Graphviz edge weight
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attribute or the value 1 if no edge weight attribute is found.
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"""
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if create_using is None:
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if A.is_directed():
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if A.is_strict():
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create_using = nx.DiGraph
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else:
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create_using = nx.MultiDiGraph
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else:
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if A.is_strict():
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create_using = nx.Graph
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else:
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create_using = nx.MultiGraph
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# assign defaults
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N = nx.empty_graph(0, create_using)
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if A.name is not None:
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N.name = A.name
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# add graph attributes
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N.graph.update(A.graph_attr)
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# add nodes, attributes to N.node_attr
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for n in A.nodes():
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str_attr = {str(k): v for k, v in n.attr.items()}
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N.add_node(str(n), **str_attr)
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# add edges, assign edge data as dictionary of attributes
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for e in A.edges():
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u, v = str(e[0]), str(e[1])
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attr = dict(e.attr)
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str_attr = {str(k): v for k, v in attr.items()}
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if not N.is_multigraph():
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if e.name is not None:
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str_attr["key"] = e.name
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N.add_edge(u, v, **str_attr)
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else:
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N.add_edge(u, v, key=e.name, **str_attr)
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# add default attributes for graph, nodes, and edges
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# hang them on N.graph_attr
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N.graph["graph"] = dict(A.graph_attr)
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N.graph["node"] = dict(A.node_attr)
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N.graph["edge"] = dict(A.edge_attr)
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return N
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def to_agraph(N):
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"""Returns a pygraphviz graph from a NetworkX graph N.
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Parameters
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----------
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N : NetworkX graph
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A graph created with NetworkX
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Examples
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--------
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>>> K5 = nx.complete_graph(5)
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>>> A = nx.nx_agraph.to_agraph(K5)
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Notes
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-----
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If N has an dict N.graph_attr an attempt will be made first
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to copy properties attached to the graph (see from_agraph)
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and then updated with the calling arguments if any.
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"""
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try:
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import pygraphviz
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except ImportError as err:
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raise ImportError(
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"requires pygraphviz " "http://pygraphviz.github.io/"
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) from err
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directed = N.is_directed()
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strict = nx.number_of_selfloops(N) == 0 and not N.is_multigraph()
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A = pygraphviz.AGraph(name=N.name, strict=strict, directed=directed)
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# default graph attributes
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A.graph_attr.update(N.graph.get("graph", {}))
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A.node_attr.update(N.graph.get("node", {}))
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A.edge_attr.update(N.graph.get("edge", {}))
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A.graph_attr.update(
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(k, v) for k, v in N.graph.items() if k not in ("graph", "node", "edge")
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)
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# add nodes
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for n, nodedata in N.nodes(data=True):
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A.add_node(n)
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# Add node data
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a = A.get_node(n)
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a.attr.update({k: str(v) for k, v in nodedata.items()})
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# loop over edges
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if N.is_multigraph():
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for u, v, key, edgedata in N.edges(data=True, keys=True):
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str_edgedata = {k: str(v) for k, v in edgedata.items() if k != "key"}
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A.add_edge(u, v, key=str(key))
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# Add edge data
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a = A.get_edge(u, v)
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a.attr.update(str_edgedata)
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else:
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for u, v, edgedata in N.edges(data=True):
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str_edgedata = {k: str(v) for k, v in edgedata.items()}
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A.add_edge(u, v)
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# Add edge data
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a = A.get_edge(u, v)
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a.attr.update(str_edgedata)
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return A
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def write_dot(G, path):
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"""Write NetworkX graph G to Graphviz dot format on path.
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Parameters
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----------
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G : graph
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A networkx graph
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path : filename
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Filename or file handle to write
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Notes
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-----
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To use a specific graph layout, call ``A.layout`` prior to `write_dot`.
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Note that some graphviz layouts are not guaranteed to be deterministic,
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see https://gitlab.com/graphviz/graphviz/-/issues/1767 for more info.
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"""
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A = to_agraph(G)
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A.write(path)
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A.clear()
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return
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def read_dot(path):
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"""Returns a NetworkX graph from a dot file on path.
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Parameters
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----------
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path : file or string
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File name or file handle to read.
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"""
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try:
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import pygraphviz
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except ImportError as err:
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raise ImportError(
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"read_dot() requires pygraphviz " "http://pygraphviz.github.io/"
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) from err
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A = pygraphviz.AGraph(file=path)
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gr = from_agraph(A)
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A.clear()
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return gr
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def graphviz_layout(G, prog="neato", root=None, args=""):
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"""Create node positions for G using Graphviz.
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Parameters
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----------
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G : NetworkX graph
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A graph created with NetworkX
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prog : string
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Name of Graphviz layout program
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root : string, optional
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Root node for twopi layout
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args : string, optional
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Extra arguments to Graphviz layout program
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Returns
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-------
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Dictionary of x, y, positions keyed by node.
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Examples
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--------
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>>> G = nx.petersen_graph()
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>>> pos = nx.nx_agraph.graphviz_layout(G)
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>>> pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
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Notes
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-----
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This is a wrapper for pygraphviz_layout.
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Note that some graphviz layouts are not guaranteed to be deterministic,
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see https://gitlab.com/graphviz/graphviz/-/issues/1767 for more info.
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"""
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return pygraphviz_layout(G, prog=prog, root=root, args=args)
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def pygraphviz_layout(G, prog="neato", root=None, args=""):
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"""Create node positions for G using Graphviz.
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Parameters
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----------
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G : NetworkX graph
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A graph created with NetworkX
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prog : string
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Name of Graphviz layout program
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root : string, optional
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Root node for twopi layout
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args : string, optional
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Extra arguments to Graphviz layout program
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Returns
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-------
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node_pos : dict
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Dictionary of x, y, positions keyed by node.
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Examples
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--------
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>>> G = nx.petersen_graph()
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>>> pos = nx.nx_agraph.graphviz_layout(G)
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>>> pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
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Notes
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-----
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If you use complex node objects, they may have the same string
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representation and GraphViz could treat them as the same node.
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The layout may assign both nodes a single location. See Issue #1568
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If this occurs in your case, consider relabeling the nodes just
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for the layout computation using something similar to::
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>>> H = nx.convert_node_labels_to_integers(G, label_attribute="node_label")
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>>> H_layout = nx.nx_agraph.pygraphviz_layout(G, prog="dot")
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>>> G_layout = {H.nodes[n]["node_label"]: p for n, p in H_layout.items()}
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Note that some graphviz layouts are not guaranteed to be deterministic,
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see https://gitlab.com/graphviz/graphviz/-/issues/1767 for more info.
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"""
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try:
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import pygraphviz
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except ImportError as err:
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raise ImportError(
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"requires pygraphviz " "http://pygraphviz.github.io/"
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) from err
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if root is not None:
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args += f"-Groot={root}"
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A = to_agraph(G)
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A.layout(prog=prog, args=args)
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node_pos = {}
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for n in G:
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node = pygraphviz.Node(A, n)
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try:
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xs = node.attr["pos"].split(",")
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node_pos[n] = tuple(float(x) for x in xs)
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except:
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print("no position for node", n)
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node_pos[n] = (0.0, 0.0)
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return node_pos
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@nx.utils.open_file(5, "w+b")
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def view_pygraphviz(
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G, edgelabel=None, prog="dot", args="", suffix="", path=None, show=True
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):
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"""Views the graph G using the specified layout algorithm.
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Parameters
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----------
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G : NetworkX graph
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The machine to draw.
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edgelabel : str, callable, None
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If a string, then it specifes the edge attribute to be displayed
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on the edge labels. If a callable, then it is called for each
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edge and it should return the string to be displayed on the edges.
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The function signature of `edgelabel` should be edgelabel(data),
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where `data` is the edge attribute dictionary.
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prog : string
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Name of Graphviz layout program.
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args : str
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Additional arguments to pass to the Graphviz layout program.
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suffix : str
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If `filename` is None, we save to a temporary file. The value of
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`suffix` will appear at the tail end of the temporary filename.
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path : str, None
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The filename used to save the image. If None, save to a temporary
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file. File formats are the same as those from pygraphviz.agraph.draw.
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show : bool, default = True
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Whether to display the graph with :mod:`PIL.Image.show`,
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default is `True`. If `False`, the rendered graph is still available
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at `path`.
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Returns
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-------
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path : str
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The filename of the generated image.
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A : PyGraphviz graph
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The PyGraphviz graph instance used to generate the image.
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Notes
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-----
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If this function is called in succession too quickly, sometimes the
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image is not displayed. So you might consider time.sleep(.5) between
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calls if you experience problems.
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Note that some graphviz layouts are not guaranteed to be deterministic,
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see https://gitlab.com/graphviz/graphviz/-/issues/1767 for more info.
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"""
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if not len(G):
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raise nx.NetworkXException("An empty graph cannot be drawn.")
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# If we are providing default values for graphviz, these must be set
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# before any nodes or edges are added to the PyGraphviz graph object.
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# The reason for this is that default values only affect incoming objects.
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# If you change the default values after the objects have been added,
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# then they inherit no value and are set only if explicitly set.
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# to_agraph() uses these values.
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attrs = ["edge", "node", "graph"]
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for attr in attrs:
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if attr not in G.graph:
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G.graph[attr] = {}
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# These are the default values.
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edge_attrs = {"fontsize": "10"}
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node_attrs = {
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"style": "filled",
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"fillcolor": "#0000FF40",
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"height": "0.75",
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"width": "0.75",
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"shape": "circle",
|
||
|
|
}
|
||
|
|
graph_attrs = {}
|
||
|
|
|
||
|
|
def update_attrs(which, attrs):
|
||
|
|
# Update graph attributes. Return list of those which were added.
|
||
|
|
added = []
|
||
|
|
for k, v in attrs.items():
|
||
|
|
if k not in G.graph[which]:
|
||
|
|
G.graph[which][k] = v
|
||
|
|
added.append(k)
|
||
|
|
|
||
|
|
def clean_attrs(which, added):
|
||
|
|
# Remove added attributes
|
||
|
|
for attr in added:
|
||
|
|
del G.graph[which][attr]
|
||
|
|
if not G.graph[which]:
|
||
|
|
del G.graph[which]
|
||
|
|
|
||
|
|
# Update all default values
|
||
|
|
update_attrs("edge", edge_attrs)
|
||
|
|
update_attrs("node", node_attrs)
|
||
|
|
update_attrs("graph", graph_attrs)
|
||
|
|
|
||
|
|
# Convert to agraph, so we inherit default values
|
||
|
|
A = to_agraph(G)
|
||
|
|
|
||
|
|
# Remove the default values we added to the original graph.
|
||
|
|
clean_attrs("edge", edge_attrs)
|
||
|
|
clean_attrs("node", node_attrs)
|
||
|
|
clean_attrs("graph", graph_attrs)
|
||
|
|
|
||
|
|
# If the user passed in an edgelabel, we update the labels for all edges.
|
||
|
|
if edgelabel is not None:
|
||
|
|
if not callable(edgelabel):
|
||
|
|
|
||
|
|
def func(data):
|
||
|
|
return "".join([" ", str(data[edgelabel]), " "])
|
||
|
|
|
||
|
|
else:
|
||
|
|
func = edgelabel
|
||
|
|
|
||
|
|
# update all the edge labels
|
||
|
|
if G.is_multigraph():
|
||
|
|
for u, v, key, data in G.edges(keys=True, data=True):
|
||
|
|
# PyGraphviz doesn't convert the key to a string. See #339
|
||
|
|
edge = A.get_edge(u, v, str(key))
|
||
|
|
edge.attr["label"] = str(func(data))
|
||
|
|
else:
|
||
|
|
for u, v, data in G.edges(data=True):
|
||
|
|
edge = A.get_edge(u, v)
|
||
|
|
edge.attr["label"] = str(func(data))
|
||
|
|
|
||
|
|
if path is None:
|
||
|
|
ext = "png"
|
||
|
|
if suffix:
|
||
|
|
suffix = f"_{suffix}.{ext}"
|
||
|
|
else:
|
||
|
|
suffix = f".{ext}"
|
||
|
|
path = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
|
||
|
|
else:
|
||
|
|
# Assume the decorator worked and it is a file-object.
|
||
|
|
pass
|
||
|
|
|
||
|
|
# Write graph to file
|
||
|
|
A.draw(path=path, format=None, prog=prog, args=args)
|
||
|
|
path.close()
|
||
|
|
|
||
|
|
# Show graph in a new window (depends on platform configuration)
|
||
|
|
if show:
|
||
|
|
from PIL import Image
|
||
|
|
|
||
|
|
Image.open(path.name).show()
|
||
|
|
|
||
|
|
return path.name, A
|
||
|
|
|
||
|
|
|
||
|
|
def display_pygraphviz(graph, path, format=None, prog=None, args=""):
|
||
|
|
"""Internal function to display a graph in OS dependent manner.
|
||
|
|
|
||
|
|
Parameters
|
||
|
|
----------
|
||
|
|
graph : PyGraphviz graph
|
||
|
|
A PyGraphviz AGraph instance.
|
||
|
|
path : file object
|
||
|
|
An already opened file object that will be closed.
|
||
|
|
format : str, None
|
||
|
|
An attempt is made to guess the output format based on the extension
|
||
|
|
of the filename. If that fails, the value of `format` is used.
|
||
|
|
prog : string
|
||
|
|
Name of Graphviz layout program.
|
||
|
|
args : str
|
||
|
|
Additional arguments to pass to the Graphviz layout program.
|
||
|
|
|
||
|
|
Notes
|
||
|
|
-----
|
||
|
|
If this function is called in succession too quickly, sometimes the
|
||
|
|
image is not displayed. So you might consider time.sleep(.5) between
|
||
|
|
calls if you experience problems.
|
||
|
|
|
||
|
|
"""
|
||
|
|
import warnings
|
||
|
|
|
||
|
|
from PIL import Image
|
||
|
|
|
||
|
|
warnings.warn(
|
||
|
|
"display_pygraphviz is deprecated and will be removed in NetworkX 3.0. "
|
||
|
|
"To view a graph G using pygraphviz, use nx.nx_agraph.view_pygraphviz(G). "
|
||
|
|
"To view a graph from file, consider an image processing libary like "
|
||
|
|
"`Pillow`, e.g. ``PIL.Image.open(path.name).show()``",
|
||
|
|
DeprecationWarning,
|
||
|
|
)
|
||
|
|
if format is None:
|
||
|
|
filename = path.name
|
||
|
|
format = os.path.splitext(filename)[1].lower()[1:]
|
||
|
|
if not format:
|
||
|
|
# Let the draw() function use its default
|
||
|
|
format = None
|
||
|
|
|
||
|
|
# Save to a file and display in the default viewer.
|
||
|
|
# We must close the file before viewing it.
|
||
|
|
graph.draw(path, format, prog, args)
|
||
|
|
path.close()
|
||
|
|
Image.open(filename).show()
|