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-rw-r--r--data_structures_and_algorithms/graph-to-graphviz.py39
1 files changed, 39 insertions, 0 deletions
diff --git a/data_structures_and_algorithms/graph-to-graphviz.py b/data_structures_and_algorithms/graph-to-graphviz.py
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+++ b/data_structures_and_algorithms/graph-to-graphviz.py
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+from graphviz import Digraph
+from collections import deque
+from fixtures import weighted_graph
+
+# There are three ways to model a graph:
+# 1. Edge list: [(Vertex, Vertex)]
+# 2. Neighbors table: Map(Vertex, [Vertex])
+# 3. Adjacency matrix: [[Boolean]]
+#
+# The following graph is a neighbors table.
+
+
+# to_graphviz :: Vertex -> Map(Vertex, [(Vertex, Weight)]) -> String
+def to_graphviz(start, g):
+    """Compiles the graph into GraphViz."""
+    d = Digraph()
+    q = deque()
+    seen = set()
+
+    q.append(start)
+
+    while q:
+        v = q.popleft()
+        if v in seen:
+            continue
+        d.node(v, label=v)
+
+        for w, x in g[v]:
+            d.edge(v, x, label=str(w))
+            q.append(x)
+        seen.add(v)
+
+    return d.source
+
+
+with open('/tmp/test.gv', 'w') as f:
+    src = to_graphviz('a', weighted_graph)
+    f.write(src)
+    print('/tmp/test.gv created!')